Systematic evaluation of pulsed laser parameters effect on temperature distribution in dissimilar laser welding: A numerical simulation and artificial neural network
•Effect of pulse width on temperature distribution in dissimilar laser welding was investigated.•Marangoni stress and buoyancy force are the most important factors .•By decreasing the frequency,the penetration of the melt in the workpiece was reduced.•The temperature distribution was asymmetric and...
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| Vydané v: | Optics and laser technology Ročník 163; s. 109407 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.08.2023
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| ISSN: | 0030-3992, 1879-2545 |
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| Abstract | •Effect of pulse width on temperature distribution in dissimilar laser welding was investigated.•Marangoni stress and buoyancy force are the most important factors .•By decreasing the frequency,the penetration of the melt in the workpiece was reduced.•The temperature distribution was asymmetric and S.S 304 experienced a higher one.
The heat transfer mechanism and temperature distribution in laser welding applications have a great impact on the quality of the weld bead geometry, mechanical properties and the resultant microstructure characterizations of the welding process. In this study, the effects of pulsed laser welding parameters including the frequency and pulse width on the melt velocity field and temperature distribution in dissimilar laser welding of stainless steel 420 (S.S 420) and stainless steel 304 (S.S 304) was investigated. A comprehensive comparison was conducted through the numerical simulation and artificial neural network (ANN). The results of numerical simulation indicated that buoyancy force and Marangoni stress are the most important factors in the formation of the flow of liquid metal. Also, increasing the pulse width from 8 to 12 ms due to increasing the pulse energy, the temperature in the center of the melt pool increased about 250 °C. This leads to increasing the convective heat transfer in the molten pool and heat affected zone (HAZ). The temperature difference at a distance of 1 mm from the beam center at both metals at a frequency of 15 and 20 Hz is bout 58 and 75 °C, respectively. Furthermore, reducing the frequency to 5 Hz, due to diminishment of thermal energy absorption time, has clearly decreased the weld penetration depth in the workpiece. According to the ANN results, increasing both pulse duration and frequency has the significant effect on increasing melting ratio from 0.4 to 0.8 compared to the other input parameters. The ANN results confirmed that under the same input conditions, because of the differences in thermal conductivity coefficient, absorption coefficient and melting point of the two pieces, S.S 304 has experienced higher temperatures about 10% more than S.S 420. Also, among the 13 back propagation learning algorithms, the Bayesian regularization algorithm had the best performance. Among the number of different neurons in the hidden layer, comparison was performed to prevent network overfitting. The maximum relative error of network output data and target data for S.S 304 and S.S 420 temperatures and melting ratio were 7.297, 10.16 and 11.33%, respectively. |
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| AbstractList | •Effect of pulse width on temperature distribution in dissimilar laser welding was investigated.•Marangoni stress and buoyancy force are the most important factors .•By decreasing the frequency,the penetration of the melt in the workpiece was reduced.•The temperature distribution was asymmetric and S.S 304 experienced a higher one.
The heat transfer mechanism and temperature distribution in laser welding applications have a great impact on the quality of the weld bead geometry, mechanical properties and the resultant microstructure characterizations of the welding process. In this study, the effects of pulsed laser welding parameters including the frequency and pulse width on the melt velocity field and temperature distribution in dissimilar laser welding of stainless steel 420 (S.S 420) and stainless steel 304 (S.S 304) was investigated. A comprehensive comparison was conducted through the numerical simulation and artificial neural network (ANN). The results of numerical simulation indicated that buoyancy force and Marangoni stress are the most important factors in the formation of the flow of liquid metal. Also, increasing the pulse width from 8 to 12 ms due to increasing the pulse energy, the temperature in the center of the melt pool increased about 250 °C. This leads to increasing the convective heat transfer in the molten pool and heat affected zone (HAZ). The temperature difference at a distance of 1 mm from the beam center at both metals at a frequency of 15 and 20 Hz is bout 58 and 75 °C, respectively. Furthermore, reducing the frequency to 5 Hz, due to diminishment of thermal energy absorption time, has clearly decreased the weld penetration depth in the workpiece. According to the ANN results, increasing both pulse duration and frequency has the significant effect on increasing melting ratio from 0.4 to 0.8 compared to the other input parameters. The ANN results confirmed that under the same input conditions, because of the differences in thermal conductivity coefficient, absorption coefficient and melting point of the two pieces, S.S 304 has experienced higher temperatures about 10% more than S.S 420. Also, among the 13 back propagation learning algorithms, the Bayesian regularization algorithm had the best performance. Among the number of different neurons in the hidden layer, comparison was performed to prevent network overfitting. The maximum relative error of network output data and target data for S.S 304 and S.S 420 temperatures and melting ratio were 7.297, 10.16 and 11.33%, respectively. |
| ArticleNumber | 109407 |
| Author | Dehkordi, Mohammad Hossein Razavi Kholoud, Mohammad Javad Li, Z. Azimy, Hamidreza Sun, Chuan |
| Author_xml | – sequence: 1 givenname: Chuan surname: Sun fullname: Sun, Chuan organization: School of Electromechanical and Intelligent Manufacturing, Huanggang Normal University, Huanggang, China – sequence: 2 givenname: Mohammad Hossein Razavi surname: Dehkordi fullname: Dehkordi, Mohammad Hossein Razavi organization: Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran – sequence: 3 givenname: Mohammad Javad surname: Kholoud fullname: Kholoud, Mohammad Javad organization: Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran – sequence: 4 givenname: Hamidreza surname: Azimy fullname: Azimy, Hamidreza organization: Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran – sequence: 5 givenname: Z. surname: Li fullname: Li, Z. email: zhixiong.li@ieee.org organization: Faculty of Mechanical Engineering, Opole University of Technology, Opole 45758, Poland |
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| Cites_doi | 10.2351/1.5061553 10.1108/09615530110381575 10.1016/j.ijheatmasstransfer.2017.11.097 10.1007/s11663-014-0242-5 10.1016/j.ijthermalsci.2021.106863 10.1080/10426914.2013.822981 10.1016/j.msea.2019.138545 10.1016/j.optlastec.2019.105833 10.1007/s40430-021-02895-9 10.37965/jdmd.2022.53 10.1016/j.optlastec.2018.11.035 10.1088/1757-899X/455/1/012118 10.1007/s11665-020-05434-0 10.2351/7.0000375 10.2351/7.0000478 10.1109/72.329697 10.1016/j.matdes.2016.07.114 10.1504/IJHM.2021.114175 10.1080/10426914.2014.901531 10.2351/7.0000415 10.1016/j.jmapro.2020.03.037 10.47852/bonviewJCCE2202184 10.2351/7.0000370 10.1504/IJHM.2021.116951 10.1080/0898150021000039293 10.2351/7.0000364 10.1016/j.jmatprotec.2017.10.011 10.1016/j.matdes.2012.06.027 10.2351/7.0000379 10.1016/j.jmapro.2018.08.005 10.47852/bonviewJCCE2202176 10.1016/j.infrared.2019.103081 10.2351/7.0000333 10.1299/jamdsm.5.347 10.1088/0022-3727/27/8/006 10.1016/j.optlastec.2020.106645 10.2351/7.0000356 10.2351/7.0000419 10.3390/met12111831 10.2351/7.0000376 10.1504/IJHM.2022.123135 10.1016/j.infrared.2020.103364 10.1016/j.optlaseng.2009.03.012 10.47852/bonviewJCCE149145205514 10.1016/j.ijheatmasstransfer.2016.12.034 10.1007/s00170-014-6129-4 10.37965/jdmd.2022.67 10.1016/j.optlastec.2017.04.008 10.2351/7.0000436 10.1016/j.jmatprotec.2015.03.003 10.1016/j.infrared.2021.103866 10.1002/lpor.202100741 10.1155/2022/2190447 10.1016/j.jmapro.2021.01.024 10.2351/7.0000386 |
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| References | Yu, Liao, Zhang, Ghaderi (b0080) 2021; 33 Ai, Jiang, Shao, Li, Wang (b0190) 2017; 108 Geng, Akbari, Karimipour, Karimi, Soleimani, Afrand (b0160) 2019; 103 Ai, Liu, Huang, Yu (b0030) 2021; 33 Kumar, Mukherjee, Bandyopadhyay (b0120) 2017; 94 Shumin, Weijie, Xianglei, Hejuan (b0285) 2021; 42 Dong, Hao, Liu, Wang, Ren (b0085) 2021; 33 Galun, Bordfeld, Gattermann, Mordike (b0150) 2002; 12 Luo, Cao, Chen, Gu, Yu, Sun (b0170) 2022; 2022 Saha, Waghmare (b0100) 2020; 122 Zuo, Lin (b0010) 2022; 16 Algehyne, Saeed, Ibrahim, Berrouk, Chu (b0035) 2021; 33 Zhang, Ouyang, Li, Ma, Liu, Chen (b0155) 2022; 12 Graupe (b0255) 2013 Wang, Rong (b0215) 2022; 5 Yang, Tang, Hu, Liu, Fan, Xiao (b0020) 2021; 33 Beale, Hagan, Demuth (b0290) 2010; 2 Ding, Ma, Zhao, Zhao (b0090) 2021; 33 Li, Hu, Shen, Hu (b0135) 2014; 29 Dong P, Xiao R, editors. Laser welding of lap joint between copper and brass. International Congress on Applications of Lasers & Electro-Optics; 2009: Laser Institute of America. Bagherzadeh, Shamsipour, Kholoud, Dehkordi (b0270) 2021; 33 Prabakaran, Kannan (b0105) 2019; 112 Chen, Huang, Xia, Zhao, Lin (b0125) 2015; 222 Baghjari, Mousavi (b0180) 2013; 43 Chang, Allen, Blackburn, Hilton, Du (b0200) 2015; 46 Wang, Sun, Gu, Azimy (b0050) 2021; 118 Tyagi, Kumar, Malik, Vashisth (b0260) 2022 Chen, Sun, Zhang, Zhou, Li (b0320) 2020; 771 Huang, Hua, Wu, Li (b0110) 2018; 252 Chen (b0275) 2022; 1 Wang, Xu, Yan (b0265) 2023 Zhao, Gao, Guo (b0250) 2021; 4 Grajczak, Nowroth, Coors, Twiefel, Wallaschek, Saure (b0060) 2021; 33 Phanikumar, Chattopadhyay, Dutta (b0225) 2001 Rehman, Rashid, Hussain (b0280) 2022 Bhatt D, Goyal A, editors. Effect of parameters of Nd YAG laser welding on AISI 316 Stainless steel and Brass. IOP Conference Series: Materials Science and Engineering; 2018: IOP Publishing. Lu, Liu, Wang, Zhang, Gu, Wang (b0065) 2021; 30 Pariona, Taques, Woiciechowski (b0220) 2018; 119 Kholoud, Akbari (b0210) 2021; 33 Mills (b0235) 2002 Wang, Zhang (b0305) 2022 Zhang, Farahmand, Kovacevic (b0230) 2016; 109 Zhang, Xiong, Su, Li, Yin, Yao (b0165) 2022; 33 Ducharme, Williams, Kapadia, Dowden, Steen, Glowacki (b0185) 1994; 27 Grimvall (b0245) 1999 Xia, Yan, Kong, Wang, Liu, Hu (b0195) 2014; 75 Zhang, Huang, Mironov, Wang, Zhang, Wu (b0055) 2021; 134 Pehlke, Jeyarajan, Wada (b0240) 1982; 83 Deng, Chen, Jia, Pang, Zhang, Wang (b0315) 2021; 64 Li, Wang, Shao, Wang, Lu, Liu (b0075) 2021; 43 Lin, Gao, Shi (b0070) 2021; 33 Khan, Saeed, Ibrahim, Chu, Algehyne (b0040) 2021; 33 Sasaki, Ikeno (b0140) 2011; 5 Wu, Dong, Zhang, Liao, Yan, You (b0025) 2021; 4 Versteeg HK, Malalasekera W. An introduction to computational fluid dynamics: the finite volume method: Pearson education; 2007. Hagan, Menhaj (b0295) 1994; 5 Casalino, Angelastro, Perulli, Casavola, Moramarco (b0175) 2018; 35 Su, Zhang (b0325) 2010; 48 Wang, Liu, Ai (b0300) 2022 Peng, Ghahnaviyeh, Ahmad, Abdollahi, Bagherzadeh, Azimy (b0045) 2021; 163 Nguyen, Azadkhou, Akbari, Panjehpour, Karimipour (b0095) 2020; 56 Li, Hu, Shen (b0130) 2014; 29 Xie, Xie, Xiong, Hou, Zuo, Wei (b0310) 2022 Azari, Rasti, Dehkordi, Azimy, Zarei, Bagherzadeh (b0015) 2021; 33 Yongbin, Bagherzadeh, Azimy, Akbari, Karimipour (b0005) 2020; 108 Wang (10.1016/j.optlastec.2023.109407_b0265) 2023 Nguyen (10.1016/j.optlastec.2023.109407_b0095) 2020; 56 Xie (10.1016/j.optlastec.2023.109407_b0310) 2022 Prabakaran (10.1016/j.optlastec.2023.109407_b0105) 2019; 112 Wang (10.1016/j.optlastec.2023.109407_b0050) 2021; 118 Xia (10.1016/j.optlastec.2023.109407_b0195) 2014; 75 Su (10.1016/j.optlastec.2023.109407_b0325) 2010; 48 Yang (10.1016/j.optlastec.2023.109407_b0020) 2021; 33 Dong (10.1016/j.optlastec.2023.109407_b0085) 2021; 33 Huang (10.1016/j.optlastec.2023.109407_b0110) 2018; 252 Wang (10.1016/j.optlastec.2023.109407_b0300) 2022 Chen (10.1016/j.optlastec.2023.109407_b0320) 2020; 771 Galun (10.1016/j.optlastec.2023.109407_b0150) 2002; 12 Li (10.1016/j.optlastec.2023.109407_b0130) 2014; 29 Beale (10.1016/j.optlastec.2023.109407_b0290) 2010; 2 Geng (10.1016/j.optlastec.2023.109407_b0160) 2019; 103 Bagherzadeh (10.1016/j.optlastec.2023.109407_b0270) 2021; 33 Kholoud (10.1016/j.optlastec.2023.109407_b0210) 2021; 33 Casalino (10.1016/j.optlastec.2023.109407_b0175) 2018; 35 10.1016/j.optlastec.2023.109407_b0205 Zhao (10.1016/j.optlastec.2023.109407_b0250) 2021; 4 Rehman (10.1016/j.optlastec.2023.109407_b0280) 2022 Kumar (10.1016/j.optlastec.2023.109407_b0120) 2017; 94 Grimvall (10.1016/j.optlastec.2023.109407_b0245) 1999 Hagan (10.1016/j.optlastec.2023.109407_b0295) 1994; 5 Mills (10.1016/j.optlastec.2023.109407_b0235) 2002 Wu (10.1016/j.optlastec.2023.109407_b0025) 2021; 4 Peng (10.1016/j.optlastec.2023.109407_b0045) 2021; 163 Tyagi (10.1016/j.optlastec.2023.109407_b0260) 2022 Ding (10.1016/j.optlastec.2023.109407_b0090) 2021; 33 Wang (10.1016/j.optlastec.2023.109407_b0215) 2022; 5 Zhang (10.1016/j.optlastec.2023.109407_b0230) 2016; 109 Zuo (10.1016/j.optlastec.2023.109407_b0010) 2022; 16 Saha (10.1016/j.optlastec.2023.109407_b0100) 2020; 122 Graupe (10.1016/j.optlastec.2023.109407_b0255) 2013 Li (10.1016/j.optlastec.2023.109407_b0075) 2021; 43 Zhang (10.1016/j.optlastec.2023.109407_b0155) 2022; 12 Algehyne (10.1016/j.optlastec.2023.109407_b0035) 2021; 33 10.1016/j.optlastec.2023.109407_b0145 Yu (10.1016/j.optlastec.2023.109407_b0080) 2021; 33 Wang (10.1016/j.optlastec.2023.109407_b0305) 2022 Chang (10.1016/j.optlastec.2023.109407_b0200) 2015; 46 Baghjari (10.1016/j.optlastec.2023.109407_b0180) 2013; 43 Luo (10.1016/j.optlastec.2023.109407_b0170) 2022; 2022 Khan (10.1016/j.optlastec.2023.109407_b0040) 2021; 33 Grajczak (10.1016/j.optlastec.2023.109407_b0060) 2021; 33 Ai (10.1016/j.optlastec.2023.109407_b0030) 2021; 33 Ducharme (10.1016/j.optlastec.2023.109407_b0185) 1994; 27 Chen (10.1016/j.optlastec.2023.109407_b0275) 2022; 1 Li (10.1016/j.optlastec.2023.109407_b0135) 2014; 29 Pariona (10.1016/j.optlastec.2023.109407_b0220) 2018; 119 Ai (10.1016/j.optlastec.2023.109407_b0190) 2017; 108 Phanikumar (10.1016/j.optlastec.2023.109407_b0225) 2001 Azari (10.1016/j.optlastec.2023.109407_b0015) 2021; 33 Zhang (10.1016/j.optlastec.2023.109407_b0165) 2022; 33 Lin (10.1016/j.optlastec.2023.109407_b0070) 2021; 33 Sasaki (10.1016/j.optlastec.2023.109407_b0140) 2011; 5 Chen (10.1016/j.optlastec.2023.109407_b0125) 2015; 222 Lu (10.1016/j.optlastec.2023.109407_b0065) 2021; 30 Pehlke (10.1016/j.optlastec.2023.109407_b0240) 1982; 83 Shumin (10.1016/j.optlastec.2023.109407_b0285) 2021; 42 Yongbin (10.1016/j.optlastec.2023.109407_b0005) 2020; 108 Deng (10.1016/j.optlastec.2023.109407_b0315) 2021; 64 Zhang (10.1016/j.optlastec.2023.109407_b0055) 2021; 134 10.1016/j.optlastec.2023.109407_b0115 |
| References_xml | – volume: 134 year: 2021 ident: b0055 article-title: Laser pressure welding of copper publication-title: Opt. Laser Technol. – volume: 108 year: 2020 ident: b0005 article-title: Comparison of the artificial neural network model prediction and the experimental results for cutting region temperature and surface roughness in laser cutting of AL6061T6 alloy publication-title: Infrared Phys. Technol. – volume: 33 year: 2021 ident: b0080 article-title: Pulsed laser welding and microstructure characterization of dissimilar brass alloy and stainless steel 308 joints publication-title: J. Laser Appl. – reference: Dong P, Xiao R, editors. Laser welding of lap joint between copper and brass. International Congress on Applications of Lasers & Electro-Optics; 2009: Laser Institute of America. – volume: 33 year: 2021 ident: b0085 article-title: Effect of laser parameters on melting ratio and temperature distribution in dissimilar laser welding of brass and SS 308 using the artificial neural network model publication-title: J. Laser Appl. – year: 2002 ident: b0235 article-title: Recommended values of thermophysical properties for selected commercial alloys – volume: 33 year: 2021 ident: b0020 article-title: Study on laser welding of copper material by hybrid light source of blue diode laser and fiber laser publication-title: J. Laser Appl. – volume: 33 year: 2021 ident: b0070 article-title: Numerical investigation of temperature distribution and melt pool dimension during dissimilar laser welding of AISI 304 and pure copper publication-title: J. Laser Appl. – volume: 4 start-page: 43 year: 2021 end-page: 54 ident: b0025 article-title: Discussion on effect of laser parameters and trajectory in combined pulse laser drilling publication-title: Int. J. Hydromechatronics. – reference: Bhatt D, Goyal A, editors. Effect of parameters of Nd YAG laser welding on AISI 316 Stainless steel and Brass. IOP Conference Series: Materials Science and Engineering; 2018: IOP Publishing. – volume: 56 start-page: 206 year: 2020 end-page: 215 ident: b0095 article-title: Experimental investigation of temperature field and fusion zone microstructure in dissimilar pulsed laser welding of austenitic stainless steel and copper publication-title: J. Manuf. Process. – volume: 118 year: 2021 ident: b0050 article-title: Investigating the effect of laser cutting parameters on the cut quality of Inconel 625 using Response Surface Method (RSM) publication-title: Infrared Phys. Technol. – volume: 5 start-page: 347 year: 2011 end-page: 357 ident: b0140 article-title: Laser butt welding of brass and stainless steel publication-title: J. Adv. Mech. Des., Syst., Manuf. – volume: 12 start-page: 1831 year: 2022 ident: b0155 article-title: Numerical study on welding residual stress distribution of corrugated steel webs publication-title: Metals. – volume: 33 year: 2022 ident: b0165 article-title: Molecular dynamics simulation and experimental study of tin growth in SAC lead-free microsolder joints under thermo-mechanical-electrical coupling publication-title: Mater. Today Commun. – reference: Versteeg HK, Malalasekera W. An introduction to computational fluid dynamics: the finite volume method: Pearson education; 2007. – volume: 109 start-page: 686 year: 2016 end-page: 699 ident: b0230 article-title: Laser cladding of 420 stainless steel with molybdenum on mild steel A36 by a high power direct diode laser publication-title: Mater. Des. – year: 2022 ident: b0260 article-title: A novel neuro-optimization technique for inventory models in manufacturing sectors publication-title: J. Comput. Cognitive Eng. – volume: 35 start-page: 216 year: 2018 end-page: 225 ident: b0175 article-title: Study on the fiber laser/TIG weldability of AISI 304 and AISI 410 dissimilar weld publication-title: J. Manuf. Process. – volume: 43 start-page: 1 year: 2021 end-page: 13 ident: b0075 article-title: Microstructure and mechanical properties of the bonded interface of laser impact welding brass/SS304 publication-title: J. Braz. Soc. Mech. Sci. Eng. – volume: 12 start-page: 191 year: 2002 end-page: 200 ident: b0150 article-title: Processing and influence on mechanical properties of precision laser beam welding of dissimilar material combination of stainless steel and brass publication-title: Lasers in Engineering. – volume: 33 year: 2021 ident: b0060 article-title: Influence of process-related heat accumulation of laser beam welded 1.7035 round bars on weld pool shape and weld defects publication-title: J. Laser Appl. – volume: 16 start-page: 2100741 year: 2022 ident: b0010 article-title: High-Power Laser Systems publication-title: Laser Photonics Rev. – volume: 5 start-page: 167 year: 2022 end-page: 190 ident: b0215 article-title: Review on processing stability, weld defects, finite element analysis, and field assisted welding of ultra-high-power laser (≥ 10 kW) welding publication-title: Int. J. Hydromechatronics. – year: 1999 ident: b0245 article-title: Thermophysical properties of materials – year: 2023 ident: b0265 article-title: Intelligent Fault Diagnosis for Planetary Gearbox Using Transferable Deep Q Network Under Variable Conditions with Small Training Data publication-title: J. Dyn., Monitoring Diagnostics – year: 2001 ident: b0225 article-title: Modelling of transport phenomena in laser welding of dissimilar metals publication-title: Int. J. Numer. Meth. Heat Fluid Flow – volume: 83 start-page: 36293 year: 1982 ident: b0240 article-title: Summary of thermal properties for casting alloys and mold materials publication-title: NASA STI/Recon Technical Report N. – volume: 33 year: 2021 ident: b0090 article-title: Effect of welding speed, pulse frequency, and pulse width on the weld shape and temperature distribution in dissimilar laser welding of stainless steel 308 and brass alloy publication-title: J. Laser Appl. – volume: 48 start-page: 191 year: 2010 end-page: 204 ident: b0325 article-title: Dynamic 3-D shape measurement method: a review publication-title: Opt. Lasers Eng. – start-page: 148 year: 2022 end-page: 159 ident: b0300 article-title: Long-range dependencies learning based on non-local 1D-convolutional neural network for rolling bearing fault diagnosis publication-title: J. Dyn., Monitoring Diagnostics. – volume: 33 year: 2021 ident: b0040 article-title: Prediction of temperature distribution around fusion zone in fiber dissimilar laser welding of AISI 304 and AISI 420: A wavelet network nonlinear ARX model publication-title: J. Laser Appl. – year: 2022 ident: b0280 article-title: Optimization in Business Trade by Using Fuzzy Incidence Graphs publication-title: J. Comput. Cognitive Eng. – volume: 30 start-page: 1245 year: 2021 end-page: 1258 ident: b0065 article-title: Experimental and numerical investigations on the interface characteristics of laser impact-welded Ti/brass joints publication-title: J. Mater. Eng. Perform. – volume: 163 year: 2021 ident: b0045 article-title: Analysis of the effect of roughness and concentration of Fe3O4/water nanofluid on the boiling heat transfer using the artificial neural network: An experimental and numerical study publication-title: Int. J. Therm. Sci. – volume: 119 start-page: 10 year: 2018 end-page: 19 ident: b0220 article-title: The Marangoni effect on microstructure properties and morphology of laser-treated Al-Fe alloy with single track by FEM: Varying the laser beam velocity publication-title: Int. J. Heat Mass Transf. – start-page: 127 year: 2022 end-page: 138 ident: b0305 article-title: An intelligent process fault diagnosis system based on Andrews plot and convolutional neural network publication-title: J. Dyn., Monitoring Diagnostics. – volume: 27 start-page: 1619 year: 1994 ident: b0185 article-title: The laser welding of thin metal sheets: an integrated keyhole and weld pool model with supporting experiments publication-title: J. Phys. D Appl. Phys. – volume: 2022 year: 2022 ident: b0170 article-title: Platelet-derived growth factor-functionalized scaffolds for the recruitment of synovial mesenchymal stem cells for osteochondral repair publication-title: Stem Cells Int. – volume: 29 start-page: 916 year: 2014 end-page: 921 ident: b0135 article-title: Dissimilar welding of H62 brass-316L stainless steel using continuous-wave Nd: YAG laser publication-title: Mater. Manuf. Process. – volume: 42 start-page: 244 year: 2021 end-page: 249 ident: b0285 article-title: Performance analysis of plastic deformation inertial control switch based on 3D printing publication-title: J. Ordnance Equipment Eng. – volume: 33 year: 2021 ident: b0210 article-title: Numerical investigation of molten pool dimension, temperature field and melting flow during pulsed laser welding of Ti-6Al-4V alloy sheets with different thicknesses publication-title: J. Laser Appl. – volume: 112 start-page: 314 year: 2019 end-page: 322 ident: b0105 article-title: Optimization of laser welding process parameters in dissimilar joint of stainless steel AISI316/AISI1018 low carbon steel to attain the maximum level of mechanical properties through PWHT publication-title: Opt. Laser Technol. – volume: 29 start-page: 922 year: 2014 end-page: 927 ident: b0130 article-title: The effect of peak power and pulse duration for dissimilar welding of brass to stainless steel publication-title: Mater. Manuf. Process. – volume: 33 year: 2021 ident: b0035 article-title: Investigation of dissimilar laser welding of stainless steel 304 and copper using the artificial neural network model publication-title: J. Laser Appl. – volume: 33 year: 2021 ident: b0270 article-title: ANN modeling and multiobjective genetic algorithm optimization of pulsed laser welding of Ti6Al4V alloy sheets with various thicknesses publication-title: J. Laser Appl. – volume: 2 start-page: 77 year: 2010 end-page: 81 ident: b0290 article-title: Neural network toolbox publication-title: User’s Guide, MathWorks. – year: 2013 ident: b0255 article-title: Principles of artificial neural networks – volume: 252 start-page: 421 year: 2018 end-page: 431 ident: b0110 article-title: Numerical study of keyhole instability and porosity formation mechanism in laser welding of aluminum alloy and steel publication-title: J. Mater. Process. Technol. – volume: 103 year: 2019 ident: b0160 article-title: Effects of the laser parameters on the mechanical properties and microstructure of weld joint in dissimilar pulsed laser welding of AISI 304 and AISI 420 publication-title: Infrared Phys. Technol. – volume: 1 start-page: 103 year: 2022 end-page: 108 ident: b0275 article-title: Research on internet security situation awareness prediction technology based on improved RBF neural network algorithm publication-title: J. Comput. Cognitive Eng. – volume: 94 start-page: 296 year: 2017 end-page: 309 ident: b0120 article-title: Study on laser welding of austenitic stainless steel by varying incident angle of pulsed laser beam publication-title: Opt. Laser Technol. – start-page: 1 year: 2022 end-page: 17 ident: b0310 article-title: New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness. Journal of Ambient Intelligence and Humanized publication-title: Computing – volume: 75 start-page: 363 year: 2014 end-page: 372 ident: b0195 article-title: Prediction of weld shape for fiber laser keyhole welding based on finite element analysis publication-title: Int. J. Adv. Manuf. Technol. – volume: 4 start-page: 116 year: 2021 end-page: 141 ident: b0250 article-title: A numerical study of crack propagation with variable temperature in steel structures using peridynamic constitutive model publication-title: Int. J. Hydromechatronics. – volume: 771 year: 2020 ident: b0320 article-title: Effects of post-weld heat treatment on the microstructure and mechanical properties of laser-welded NiTi/304SS joint with Ni filler publication-title: Mater. Sci. Eng. A – volume: 46 start-page: 906 year: 2015 end-page: 918 ident: b0200 article-title: Fluid flow characteristics and porosity behavior in full penetration laser welding of a titanium alloy publication-title: Metall. Mater. Trans. B – volume: 5 start-page: 989 year: 1994 end-page: 993 ident: b0295 article-title: Training feedforward networks with the Marquardt algorithm publication-title: IEEE Trans. Neural Netw. – volume: 33 year: 2021 ident: b0015 article-title: Investigation of temperature distribution and melt pool microstructure in laser fusion welding of Inconel 625 superalloy publication-title: J. Laser Appl. – volume: 33 year: 2021 ident: b0030 article-title: Investigation of dissimilar fiber laser welding of low carbon steel and stainless steel by numerical simulation publication-title: J. Laser Appl. – volume: 108 start-page: 614 year: 2017 end-page: 626 ident: b0190 article-title: A three-dimensional numerical simulation model for weld characteristics analysis in fiber laser keyhole welding publication-title: Int. J. Heat Mass Transf. – volume: 222 start-page: 43 year: 2015 end-page: 51 ident: b0125 article-title: Influence of processing parameters on the characteristics of stainless steel/copper laser welding publication-title: J. Mater. Process. Technol. – volume: 43 start-page: 1 year: 2013 end-page: 9 ident: b0180 article-title: Effects of pulsed Nd: YAG laser welding parameters and subsequent post-weld heat treatment on microstructure and hardness of AISI 420 stainless steel publication-title: Mater. Des. – volume: 122 year: 2020 ident: b0100 article-title: Parametric optimization for autogenous butt laser welding of sub-millimeter thick SS 316 sheets using central composite design publication-title: Opt. Laser Technol. – volume: 64 start-page: 379 year: 2021 end-page: 391 ident: b0315 article-title: Microstructure and mechanical properties of dissimilar NiTi/Ti6Al4V joints via back-heating assisted friction stir welding publication-title: J. Manuf. Process. – ident: 10.1016/j.optlastec.2023.109407_b0145 doi: 10.2351/1.5061553 – volume: 83 start-page: 36293 year: 1982 ident: 10.1016/j.optlastec.2023.109407_b0240 article-title: Summary of thermal properties for casting alloys and mold materials publication-title: NASA STI/Recon Technical Report N. – year: 2001 ident: 10.1016/j.optlastec.2023.109407_b0225 article-title: Modelling of transport phenomena in laser welding of dissimilar metals publication-title: Int. J. Numer. Meth. Heat Fluid Flow doi: 10.1108/09615530110381575 – volume: 119 start-page: 10 year: 2018 ident: 10.1016/j.optlastec.2023.109407_b0220 article-title: The Marangoni effect on microstructure properties and morphology of laser-treated Al-Fe alloy with single track by FEM: Varying the laser beam velocity publication-title: Int. J. Heat Mass Transf. doi: 10.1016/j.ijheatmasstransfer.2017.11.097 – volume: 46 start-page: 906 year: 2015 ident: 10.1016/j.optlastec.2023.109407_b0200 article-title: Fluid flow characteristics and porosity behavior in full penetration laser welding of a titanium alloy publication-title: Metall. Mater. Trans. B doi: 10.1007/s11663-014-0242-5 – volume: 163 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0045 article-title: Analysis of the effect of roughness and concentration of Fe3O4/water nanofluid on the boiling heat transfer using the artificial neural network: An experimental and numerical study publication-title: Int. J. Therm. Sci. doi: 10.1016/j.ijthermalsci.2021.106863 – volume: 29 start-page: 916 issue: 8 year: 2014 ident: 10.1016/j.optlastec.2023.109407_b0135 article-title: Dissimilar welding of H62 brass-316L stainless steel using continuous-wave Nd: YAG laser publication-title: Mater. Manuf. Process. doi: 10.1080/10426914.2013.822981 – volume: 771 year: 2020 ident: 10.1016/j.optlastec.2023.109407_b0320 article-title: Effects of post-weld heat treatment on the microstructure and mechanical properties of laser-welded NiTi/304SS joint with Ni filler publication-title: Mater. Sci. Eng. A doi: 10.1016/j.msea.2019.138545 – volume: 122 year: 2020 ident: 10.1016/j.optlastec.2023.109407_b0100 article-title: Parametric optimization for autogenous butt laser welding of sub-millimeter thick SS 316 sheets using central composite design publication-title: Opt. Laser Technol. doi: 10.1016/j.optlastec.2019.105833 – volume: 43 start-page: 1 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0075 article-title: Microstructure and mechanical properties of the bonded interface of laser impact welding brass/SS304 publication-title: J. Braz. Soc. Mech. Sci. Eng. doi: 10.1007/s40430-021-02895-9 – start-page: 148 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0300 article-title: Long-range dependencies learning based on non-local 1D-convolutional neural network for rolling bearing fault diagnosis publication-title: J. Dyn., Monitoring Diagnostics. doi: 10.37965/jdmd.2022.53 – volume: 112 start-page: 314 year: 2019 ident: 10.1016/j.optlastec.2023.109407_b0105 article-title: Optimization of laser welding process parameters in dissimilar joint of stainless steel AISI316/AISI1018 low carbon steel to attain the maximum level of mechanical properties through PWHT publication-title: Opt. Laser Technol. doi: 10.1016/j.optlastec.2018.11.035 – ident: 10.1016/j.optlastec.2023.109407_b0115 doi: 10.1088/1757-899X/455/1/012118 – volume: 30 start-page: 1245 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0065 article-title: Experimental and numerical investigations on the interface characteristics of laser impact-welded Ti/brass joints publication-title: J. Mater. Eng. Perform. doi: 10.1007/s11665-020-05434-0 – volume: 33 issue: 2 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0080 article-title: Pulsed laser welding and microstructure characterization of dissimilar brass alloy and stainless steel 308 joints publication-title: J. Laser Appl. doi: 10.2351/7.0000375 – year: 2002 ident: 10.1016/j.optlastec.2023.109407_b0235 – year: 1999 ident: 10.1016/j.optlastec.2023.109407_b0245 – volume: 33 issue: 4 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0060 article-title: Influence of process-related heat accumulation of laser beam welded 1.7035 round bars on weld pool shape and weld defects publication-title: J. Laser Appl. doi: 10.2351/7.0000478 – volume: 5 start-page: 989 issue: 6 year: 1994 ident: 10.1016/j.optlastec.2023.109407_b0295 article-title: Training feedforward networks with the Marquardt algorithm publication-title: IEEE Trans. Neural Netw. doi: 10.1109/72.329697 – volume: 109 start-page: 686 year: 2016 ident: 10.1016/j.optlastec.2023.109407_b0230 article-title: Laser cladding of 420 stainless steel with molybdenum on mild steel A36 by a high power direct diode laser publication-title: Mater. Des. doi: 10.1016/j.matdes.2016.07.114 – volume: 4 start-page: 43 issue: 1 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0025 article-title: Discussion on effect of laser parameters and trajectory in combined pulse laser drilling publication-title: Int. J. Hydromechatronics. doi: 10.1504/IJHM.2021.114175 – year: 2023 ident: 10.1016/j.optlastec.2023.109407_b0265 article-title: Intelligent Fault Diagnosis for Planetary Gearbox Using Transferable Deep Q Network Under Variable Conditions with Small Training Data publication-title: J. Dyn., Monitoring Diagnostics – volume: 29 start-page: 922 issue: 8 year: 2014 ident: 10.1016/j.optlastec.2023.109407_b0130 article-title: The effect of peak power and pulse duration for dissimilar welding of brass to stainless steel publication-title: Mater. Manuf. Process. doi: 10.1080/10426914.2014.901531 – volume: 33 issue: 3 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0085 article-title: Effect of laser parameters on melting ratio and temperature distribution in dissimilar laser welding of brass and SS 308 using the artificial neural network model publication-title: J. Laser Appl. doi: 10.2351/7.0000415 – volume: 56 start-page: 206 year: 2020 ident: 10.1016/j.optlastec.2023.109407_b0095 article-title: Experimental investigation of temperature field and fusion zone microstructure in dissimilar pulsed laser welding of austenitic stainless steel and copper publication-title: J. Manuf. Process. doi: 10.1016/j.jmapro.2020.03.037 – volume: 33 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0165 article-title: Molecular dynamics simulation and experimental study of tin growth in SAC lead-free microsolder joints under thermo-mechanical-electrical coupling publication-title: Mater. Today Commun. – year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0260 article-title: A novel neuro-optimization technique for inventory models in manufacturing sectors publication-title: J. Comput. Cognitive Eng. doi: 10.47852/bonviewJCCE2202184 – start-page: 1 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0310 article-title: New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness. Journal of Ambient Intelligence and Humanized publication-title: Computing – volume: 42 start-page: 244 issue: 05 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0285 article-title: Performance analysis of plastic deformation inertial control switch based on 3D printing publication-title: J. Ordnance Equipment Eng. – volume: 33 issue: 2 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0035 article-title: Investigation of dissimilar laser welding of stainless steel 304 and copper using the artificial neural network model publication-title: J. Laser Appl. doi: 10.2351/7.0000370 – volume: 4 start-page: 116 issue: 2 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0250 article-title: A numerical study of crack propagation with variable temperature in steel structures using peridynamic constitutive model publication-title: Int. J. Hydromechatronics. doi: 10.1504/IJHM.2021.116951 – volume: 12 start-page: 191 issue: 3 year: 2002 ident: 10.1016/j.optlastec.2023.109407_b0150 article-title: Processing and influence on mechanical properties of precision laser beam welding of dissimilar material combination of stainless steel and brass publication-title: Lasers in Engineering. doi: 10.1080/0898150021000039293 – volume: 33 issue: 2 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0090 article-title: Effect of welding speed, pulse frequency, and pulse width on the weld shape and temperature distribution in dissimilar laser welding of stainless steel 308 and brass alloy publication-title: J. Laser Appl. doi: 10.2351/7.0000364 – volume: 252 start-page: 421 year: 2018 ident: 10.1016/j.optlastec.2023.109407_b0110 article-title: Numerical study of keyhole instability and porosity formation mechanism in laser welding of aluminum alloy and steel publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2017.10.011 – volume: 43 start-page: 1 year: 2013 ident: 10.1016/j.optlastec.2023.109407_b0180 article-title: Effects of pulsed Nd: YAG laser welding parameters and subsequent post-weld heat treatment on microstructure and hardness of AISI 420 stainless steel publication-title: Mater. Des. doi: 10.1016/j.matdes.2012.06.027 – volume: 33 issue: 2 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0040 article-title: Prediction of temperature distribution around fusion zone in fiber dissimilar laser welding of AISI 304 and AISI 420: A wavelet network nonlinear ARX model publication-title: J. Laser Appl. doi: 10.2351/7.0000379 – volume: 35 start-page: 216 year: 2018 ident: 10.1016/j.optlastec.2023.109407_b0175 article-title: Study on the fiber laser/TIG weldability of AISI 304 and AISI 410 dissimilar weld publication-title: J. Manuf. Process. doi: 10.1016/j.jmapro.2018.08.005 – ident: 10.1016/j.optlastec.2023.109407_b0205 – year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0280 article-title: Optimization in Business Trade by Using Fuzzy Incidence Graphs publication-title: J. Comput. Cognitive Eng. doi: 10.47852/bonviewJCCE2202176 – volume: 103 year: 2019 ident: 10.1016/j.optlastec.2023.109407_b0160 article-title: Effects of the laser parameters on the mechanical properties and microstructure of weld joint in dissimilar pulsed laser welding of AISI 304 and AISI 420 publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2019.103081 – volume: 33 issue: 1 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0030 article-title: Investigation of dissimilar fiber laser welding of low carbon steel and stainless steel by numerical simulation publication-title: J. Laser Appl. doi: 10.2351/7.0000333 – volume: 5 start-page: 347 issue: 4 year: 2011 ident: 10.1016/j.optlastec.2023.109407_b0140 article-title: Laser butt welding of brass and stainless steel publication-title: J. Adv. Mech. Des., Syst., Manuf. doi: 10.1299/jamdsm.5.347 – volume: 27 start-page: 1619 issue: 8 year: 1994 ident: 10.1016/j.optlastec.2023.109407_b0185 article-title: The laser welding of thin metal sheets: an integrated keyhole and weld pool model with supporting experiments publication-title: J. Phys. D Appl. Phys. doi: 10.1088/0022-3727/27/8/006 – volume: 134 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0055 article-title: Laser pressure welding of copper publication-title: Opt. Laser Technol. doi: 10.1016/j.optlastec.2020.106645 – volume: 33 issue: 1 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0270 article-title: ANN modeling and multiobjective genetic algorithm optimization of pulsed laser welding of Ti6Al4V alloy sheets with various thicknesses publication-title: J. Laser Appl. doi: 10.2351/7.0000356 – volume: 33 issue: 3 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0070 article-title: Numerical investigation of temperature distribution and melt pool dimension during dissimilar laser welding of AISI 304 and pure copper publication-title: J. Laser Appl. doi: 10.2351/7.0000419 – volume: 12 start-page: 1831 issue: 11 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0155 article-title: Numerical study on welding residual stress distribution of corrugated steel webs publication-title: Metals. doi: 10.3390/met12111831 – volume: 33 issue: 2 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0015 article-title: Investigation of temperature distribution and melt pool microstructure in laser fusion welding of Inconel 625 superalloy publication-title: J. Laser Appl. doi: 10.2351/7.0000376 – volume: 5 start-page: 167 issue: 2 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0215 article-title: Review on processing stability, weld defects, finite element analysis, and field assisted welding of ultra-high-power laser (≥ 10 kW) welding publication-title: Int. J. Hydromechatronics. doi: 10.1504/IJHM.2022.123135 – year: 2013 ident: 10.1016/j.optlastec.2023.109407_b0255 – volume: 108 year: 2020 ident: 10.1016/j.optlastec.2023.109407_b0005 article-title: Comparison of the artificial neural network model prediction and the experimental results for cutting region temperature and surface roughness in laser cutting of AL6061T6 alloy publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2020.103364 – volume: 48 start-page: 191 issue: 2 year: 2010 ident: 10.1016/j.optlastec.2023.109407_b0325 article-title: Dynamic 3-D shape measurement method: a review publication-title: Opt. Lasers Eng. doi: 10.1016/j.optlaseng.2009.03.012 – volume: 1 start-page: 103 issue: 3 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0275 article-title: Research on internet security situation awareness prediction technology based on improved RBF neural network algorithm publication-title: J. Comput. Cognitive Eng. doi: 10.47852/bonviewJCCE149145205514 – volume: 2 start-page: 77 year: 2010 ident: 10.1016/j.optlastec.2023.109407_b0290 article-title: Neural network toolbox publication-title: User’s Guide, MathWorks. – volume: 108 start-page: 614 year: 2017 ident: 10.1016/j.optlastec.2023.109407_b0190 article-title: A three-dimensional numerical simulation model for weld characteristics analysis in fiber laser keyhole welding publication-title: Int. J. Heat Mass Transf. doi: 10.1016/j.ijheatmasstransfer.2016.12.034 – volume: 75 start-page: 363 year: 2014 ident: 10.1016/j.optlastec.2023.109407_b0195 article-title: Prediction of weld shape for fiber laser keyhole welding based on finite element analysis publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-014-6129-4 – start-page: 127 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0305 article-title: An intelligent process fault diagnosis system based on Andrews plot and convolutional neural network publication-title: J. Dyn., Monitoring Diagnostics. doi: 10.37965/jdmd.2022.67 – volume: 94 start-page: 296 year: 2017 ident: 10.1016/j.optlastec.2023.109407_b0120 article-title: Study on laser welding of austenitic stainless steel by varying incident angle of pulsed laser beam publication-title: Opt. Laser Technol. doi: 10.1016/j.optlastec.2017.04.008 – volume: 33 issue: 3 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0210 article-title: Numerical investigation of molten pool dimension, temperature field and melting flow during pulsed laser welding of Ti-6Al-4V alloy sheets with different thicknesses publication-title: J. Laser Appl. doi: 10.2351/7.0000436 – volume: 222 start-page: 43 year: 2015 ident: 10.1016/j.optlastec.2023.109407_b0125 article-title: Influence of processing parameters on the characteristics of stainless steel/copper laser welding publication-title: J. Mater. Process. Technol. doi: 10.1016/j.jmatprotec.2015.03.003 – volume: 118 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0050 article-title: Investigating the effect of laser cutting parameters on the cut quality of Inconel 625 using Response Surface Method (RSM) publication-title: Infrared Phys. Technol. doi: 10.1016/j.infrared.2021.103866 – volume: 16 start-page: 2100741 issue: 5 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0010 article-title: High-Power Laser Systems publication-title: Laser Photonics Rev. doi: 10.1002/lpor.202100741 – volume: 2022 year: 2022 ident: 10.1016/j.optlastec.2023.109407_b0170 article-title: Platelet-derived growth factor-functionalized scaffolds for the recruitment of synovial mesenchymal stem cells for osteochondral repair publication-title: Stem Cells Int. doi: 10.1155/2022/2190447 – volume: 64 start-page: 379 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0315 article-title: Microstructure and mechanical properties of dissimilar NiTi/Ti6Al4V joints via back-heating assisted friction stir welding publication-title: J. Manuf. Process. doi: 10.1016/j.jmapro.2021.01.024 – volume: 33 issue: 3 year: 2021 ident: 10.1016/j.optlastec.2023.109407_b0020 article-title: Study on laser welding of copper material by hybrid light source of blue diode laser and fiber laser publication-title: J. Laser Appl. doi: 10.2351/7.0000386 |
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| Snippet | •Effect of pulse width on temperature distribution in dissimilar laser welding was investigated.•Marangoni stress and buoyancy force are the most important... |
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| SubjectTerms | Artificial neural network Bayesian regularization algorithm Dissimilar laser welding Numerical simulation Temperature distribution |
| Title | Systematic evaluation of pulsed laser parameters effect on temperature distribution in dissimilar laser welding: A numerical simulation and artificial neural network |
| URI | https://dx.doi.org/10.1016/j.optlastec.2023.109407 |
| Volume | 163 |
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