Multi-objective optimization of multi-pass face milling using particle swarm intelligence

In this paper, to facilitate manufacturing engineers have more control on the machining operations, the optimization issue of machining parameters is handled as a multi-objective optimization problem. The optimization strategy is to simultaneously minimize production time and cost and maximize profi...

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Vydané v:	International journal of advanced manufacturing technology Ročník 56; číslo 5-8; s. 429 - 443
Hlavní autori:	Yang, Wen-an, Guo, Yu, Liao, Wenhe
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer-Verlag 01.09.2011 Springer Nature B.V
Predmet:	Algorithms CAE) and Design Computer-Aided Engineering (CAD Cutting force Cutting speed Engineering Face milling Feed rate Goal programming Industrial and Production Engineering Machine tools Mechanical Engineering Media Management Milling (machining) Multiple objective analysis Original Article Parameters Pareto optimization Pareto optimum Performance measurement Production planning Surface roughness Swarm intelligence Multi-object optimization Face milling Particle swarm optimization Machining parameters Multi-pass
ISSN:	0268-3768, 1433-3015
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Abstract	In this paper, to facilitate manufacturing engineers have more control on the machining operations, the optimization issue of machining parameters is handled as a multi-objective optimization problem. The optimization strategy is to simultaneously minimize production time and cost and maximize profit rate meanwhile subject to satisfying the constraints on the machine power, cutting force, machining speed, feed rate, and surface roughness. An efficient fuzzy global and personal best-mechanism-based multi-objective particle swarm optimization (F-MOPSO) to optimize the machining parameters is developed to solve such a multi-objective optimization problem in optimization of multi-pass face milling. The proposed F-MOPSO algorithm is first tested on several benchmark problems taken from the literature and evaluated with standard performance metrics. It is found that the F-MOPSO does not have any difficulty in achieving well-spread Pareto optimal solutions with good convergence to true Pareto optimal front for multi-objective optimization problems. Upon achieving good results for test cases, the algorithm was employed to a case study of multi-pass face milling. Significant improvement is indeed obtained in comparison to the results reported in the literatures. The proposed scheme may be effectively employed to the optimization of machining parameters for multi-pass face milling operations to obtain efficient solutions.
AbstractList	In this paper, to facilitate manufacturing engineers have more control on the machining operations, the optimization issue of machining parameters is handled as a multi-objective optimization problem. The optimization strategy is to simultaneously minimize production time and cost and maximize profit rate meanwhile subject to satisfying the constraints on the machine power, cutting force, machining speed, feed rate, and surface roughness. An efficient fuzzy global and personal best-mechanism-based multi-objective particle swarm optimization (F-MOPSO) to optimize the machining parameters is developed to solve such a multi-objective optimization problem in optimization of multi-pass face milling. The proposed F-MOPSO algorithm is first tested on several benchmark problems taken from the literature and evaluated with standard performance metrics. It is found that the F-MOPSO does not have any difficulty in achieving well-spread Pareto optimal solutions with good convergence to true Pareto optimal front for multi-objective optimization problems. Upon achieving good results for test cases, the algorithm was employed to a case study of multi-pass face milling. Significant improvement is indeed obtained in comparison to the results reported in the literatures. The proposed scheme may be effectively employed to the optimization of machining parameters for multi-pass face milling operations to obtain efficient solutions.
Author	Liao, Wenhe Guo, Yu Yang, Wen-an
Author_xml	– sequence: 1 givenname: Wen-an surname: Yang fullname: Yang, Wen-an email: dreamflow@nuaa.edu.cn organization: Department of Manufacturing Engineering of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics – sequence: 2 givenname: Yu surname: Guo fullname: Guo, Yu organization: Department of Manufacturing Engineering of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics – sequence: 3 givenname: Wenhe surname: Liao fullname: Liao, Wenhe organization: Department of Manufacturing Engineering of Aeronautics and Astronautics, Nanjing University of Aeronautics and Astronautics
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Cites_doi	10.1115/1.2899601 10.1007/s00170-009-1933-y 10.1109/4235.996017 10.1007/s00170-006-0538-y 10.1007/s00170-007-1320-5 10.1162/106365600568167 10.1016/S0890-6955(96)00044-2 10.1007/s00170-003-1933-2 10.1016/S0890-6955(99)00063-2 10.1115/1.3428310 10.1109/4235.797969 10.1080/10910340701350108 10.1016/S0890-6955(98)00027-3 10.1007/s00170-005-0252-1 10.1080/00207547308929981 10.1007/s00170-003-1789-5 10.1162/evco.1999.7.3.205 10.1080/00207549108948056 10.1007/3-540-61723-X_1014 10.1007/BFb0029752 10.1109/SIS.2003.1202250 10.1109/ICNN.1995.488968
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Keywords	Multi-object optimization Face milling Particle swarm optimization Machining parameters Multi-pass
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References	Deb (CR29) 1999; 7 Conceição António, Castro, Davim (CR12) 2009; 44 Sonmez, Baykasoglu, Dereli, Filiz (CR4) 1999; 39 Jha (CR5) 1990; 112 CR14 CR11 Dubois, Prade (CR21) 1998 Gopalakrishnan, Faiz (CR2) 1991; 29 Deb (CR13) 1999 Lee, Ting, Lin, Htay (CR30) 2007; 33 Shunmugam, Bhaskara Reddy, Narendran (CR8) 2000; 40 Srinivas, Giri, Yang (CR31) 2009; 40 Wang, Rahman, Wong, Sun (CR10) 2004; 24 Petropoulos (CR7) 1973; 11 Jerald, Asokan, Prabaharan, Saravanan (CR18) 2005; 25 Deb, Pratap, Agarwal, Meyarivan (CR19) 2002; 6 Yang, Zhou, Wu (CR17) 2005; 29 CR6 Nefedov, Osipov (CR20) 1987 CR28 CR9 CR27 Tolouei-Rad, Bidhendi (CR3) 1997; 37 CR26 Iwata, Murotsu, Iwotsubo, Fuji (CR1) 1972; 94 CR23 Gandhi, Kumar, Pandey, Tiwari (CR16) 2009 CR22 Jain, Jain (CR32) 2007; 11 Knowles, Corne (CR25) 2000; 8 Zitzler, Thiele (CR24) 1999; 3 Natarajan, Periasamy, Saravanan (CR15) 2007; 31 AI Sonmez (3187_CR4) 1999; 39 ZG Yang (3187_CR17) 2005; 29 N Nefedov (3187_CR20) 1987 NK Jha (3187_CR5) 1990; 112 B Gopalakrishnan (3187_CR2) 1991; 29 CA Conceição António (3187_CR12) 2009; 44 K Iwata (3187_CR1) 1972; 94 K Deb (3187_CR29) 1999; 7 E Zitzler (3187_CR24) 1999; 3 K Deb (3187_CR13) 1999 3187_CR26 3187_CR28 PG Petropoulos (3187_CR7) 1973; 11 3187_CR27 3187_CR22 TS Lee (3187_CR30) 2007; 33 3187_CR23 ZG Wang (3187_CR10) 2004; 24 3187_CR9 3187_CR6 J Srinivas (3187_CR31) 2009; 40 M Tolouei-Rad (3187_CR3) 1997; 37 MS Shunmugam (3187_CR8) 2000; 40 AK Gandhi (3187_CR16) 2009 J Jerald (3187_CR18) 2005; 25 K Deb (3187_CR19) 2002; 6 U Natarajan (3187_CR15) 2007; 31 NK Jain (3187_CR32) 2007; 11 3187_CR14 D Dubois (3187_CR21) 1998 3187_CR11 JD Knowles (3187_CR25) 2000; 8
References_xml	– volume: 112 start-page: 368 issue: 4 year: 1990 end-page: 374 ident: CR5 article-title: A discrete data base multiple objective optimization of milling operation through geometric programming publication-title: Trans ASME J Eng Ind doi: 10.1115/1.2899601 – ident: CR22 – volume: 44 start-page: 1106 year: 2009 end-page: 1115 ident: CR12 article-title: Optimisation of multi-pass cutting parameters in face-milling based on genetic search publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-009-1933-y – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: CR19 article-title: A fast and elitist multi-objective genetic algorithm: NSGA-II publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 33 start-page: 1128 year: 2007 end-page: 1135 ident: CR30 article-title: A particle swarm approach for grinding process optimization analysis publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-006-0538-y – year: 1998 ident: CR21 publication-title: Possibility theory: an approach to computerized processing and uncertainty – volume: 40 start-page: 56 year: 2009 end-page: 66 ident: CR31 article-title: Optimization of multi-pass turning using particle swarm intelligence publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-007-1320-5 – volume: 8 start-page: 149 year: 2000 end-page: 172 ident: CR25 article-title: Approximating the nondominated front using the Pareto archived evolution strategy publication-title: Evol Comput doi: 10.1162/106365600568167 – volume: 37 start-page: 1 issue: 1 year: 1997 end-page: 16 ident: CR3 article-title: On the optimization of machining parameters for milling operations publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(96)00044-2 – year: 1987 ident: CR20 publication-title: Typical examples and problems in metal cutting and tool design – ident: CR14 – volume: 25 start-page: 964 year: 2005 end-page: 971 ident: CR18 article-title: Scheduling optimization of flexible manufacturing systems using particle swarm optimization algorithm publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-003-1933-2 – volume: 40 start-page: 401 year: 2000 end-page: 414 ident: CR8 article-title: Selection of optimal conditions in multi-pass face-milling using a genetic algorithm publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(99)00063-2 – volume: 94 start-page: 1099 year: 1972 end-page: 1107 ident: CR1 article-title: A probabilistic approach to the determination of the optimum cutting conditions publication-title: Trans ASME J Eng Ind doi: 10.1115/1.3428310 – ident: CR6 – year: 2009 ident: CR16 article-title: EMPSO-based optimization for inter-temporal multi-product revenue management under salvage consideration publication-title: Appl Soft Comput J – volume: 3 start-page: 257 year: 1999 end-page: 271 ident: CR24 article-title: Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.797969 – volume: 11 start-page: 235 year: 2007 end-page: 258 ident: CR32 article-title: Optimization of electrochemical machining process parameters using genetic algorithm publication-title: Machining Sci Technol doi: 10.1080/10910340701350108 – ident: CR27 – ident: CR23 – volume: 39 start-page: 297 issue: 2 year: 1999 end-page: 320 ident: CR4 article-title: Dynamic optimization of multipass milling operationsvia geometric programming publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(98)00027-3 – volume: 31 start-page: 871 year: 2007 end-page: 876 ident: CR15 article-title: Application of particle swarm optimisation in artificial neural network for the prediction of tool life publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-005-0252-1 – volume: 29 start-page: 1 issue: 2 year: 2005 end-page: 4 ident: CR17 article-title: Application of improved particle swarm optimization in economic dispatching publication-title: Power Syst Technol – volume: 11 start-page: 305 issue: 4 year: 1973 end-page: 314 ident: CR7 article-title: Optimal selection of machining rate variable by geometric programming publication-title: Int J Prod Res doi: 10.1080/00207547308929981 – year: 1999 ident: CR13 publication-title: Multi-objective evolutionary algorithms: introducing bias among Pareto-optimal solutions. Technical Report KanGAL Report No. 99002 – ident: CR11 – ident: CR9 – volume: 24 start-page: 727 year: 2004 end-page: 732 ident: CR10 article-title: Optimisation of multi-pass milling using genetic algorithm and genetic simulated annealing publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-003-1789-5 – volume: 7 start-page: 205 year: 1999 end-page: 230 ident: CR29 article-title: Multi-objective genetic algorithms: problem difficulties and construction of test problems publication-title: Evol Comput doi: 10.1162/evco.1999.7.3.205 – ident: CR28 – ident: CR26 – volume: 29 start-page: 1897 year: 1991 end-page: 1908 ident: CR2 article-title: Machining parameter selection for turning with constraints: an analytical approach based on geometric programming publication-title: Int J Prod Res doi: 10.1080/00207549108948056 – volume: 40 start-page: 56 year: 2009 ident: 3187_CR31 publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-007-1320-5 – ident: 3187_CR9 – volume: 3 start-page: 257 year: 1999 ident: 3187_CR24 publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.797969 – ident: 3187_CR28 doi: 10.1007/3-540-61723-X_1014 – volume: 40 start-page: 401 year: 2000 ident: 3187_CR8 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(99)00063-2 – ident: 3187_CR27 doi: 10.1007/BFb0029752 – volume: 7 start-page: 205 year: 1999 ident: 3187_CR29 publication-title: Evol Comput doi: 10.1162/evco.1999.7.3.205 – volume: 31 start-page: 871 year: 2007 ident: 3187_CR15 publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-005-0252-1 – volume-title: Possibility theory: an approach to computerized processing and uncertainty year: 1998 ident: 3187_CR21 – ident: 3187_CR26 – volume-title: Multi-objective evolutionary algorithms: introducing bias among Pareto-optimal solutions. Technical Report KanGAL Report No. 99002 year: 1999 ident: 3187_CR13 – ident: 3187_CR22 – volume: 11 start-page: 305 issue: 4 year: 1973 ident: 3187_CR7 publication-title: Int J Prod Res doi: 10.1080/00207547308929981 – volume: 6 start-page: 182 year: 2002 ident: 3187_CR19 publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 37 start-page: 1 issue: 1 year: 1997 ident: 3187_CR3 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(96)00044-2 – volume: 112 start-page: 368 issue: 4 year: 1990 ident: 3187_CR5 publication-title: Trans ASME J Eng Ind doi: 10.1115/1.2899601 – volume-title: Typical examples and problems in metal cutting and tool design year: 1987 ident: 3187_CR20 – ident: 3187_CR23 doi: 10.1109/SIS.2003.1202250 – volume: 39 start-page: 297 issue: 2 year: 1999 ident: 3187_CR4 publication-title: Int J Mach Tools Manuf doi: 10.1016/S0890-6955(98)00027-3 – volume: 8 start-page: 149 year: 2000 ident: 3187_CR25 publication-title: Evol Comput doi: 10.1162/106365600568167 – volume: 29 start-page: 1897 year: 1991 ident: 3187_CR2 publication-title: Int J Prod Res doi: 10.1080/00207549108948056 – ident: 3187_CR11 – volume: 24 start-page: 727 year: 2004 ident: 3187_CR10 publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-003-1789-5 – year: 2009 ident: 3187_CR16 publication-title: Appl Soft Comput J – ident: 3187_CR6 – volume: 44 start-page: 1106 year: 2009 ident: 3187_CR12 publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-009-1933-y – volume: 33 start-page: 1128 year: 2007 ident: 3187_CR30 publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-006-0538-y – volume: 94 start-page: 1099 year: 1972 ident: 3187_CR1 publication-title: Trans ASME J Eng Ind doi: 10.1115/1.3428310 – volume: 25 start-page: 964 year: 2005 ident: 3187_CR18 publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-003-1933-2 – volume: 11 start-page: 235 year: 2007 ident: 3187_CR32 publication-title: Machining Sci Technol doi: 10.1080/10910340701350108 – ident: 3187_CR14 doi: 10.1109/ICNN.1995.488968 – volume: 29 start-page: 1 issue: 2 year: 2005 ident: 3187_CR17 publication-title: Power Syst Technol
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Snippet	In this paper, to facilitate manufacturing engineers have more control on the machining operations, the optimization issue of machining parameters is handled...
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SubjectTerms	Algorithms CAE) and Design Computer-Aided Engineering (CAD Cutting force Cutting speed Engineering Face milling Feed rate Goal programming Industrial and Production Engineering Machine tools Mechanical Engineering Media Management Milling (machining) Multiple objective analysis Original Article Parameters Pareto optimization Pareto optimum Performance measurement Production planning Surface roughness Swarm intelligence
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Title	Multi-objective optimization of multi-pass face milling using particle swarm intelligence
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