Development of mathematical models for the prediction of mechanical properties of low carbon steel (LCS)
There has been constant development in the area of mechanical properties of low carbon steel but many of the approaches used to determine the properties have always been through experimentation processes. This work report the development of user friendly JavaScript program based on mathematical mode...
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| Vydáno v: | Materials today : proceedings Ročník 38; s. 1133 - 1139 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
2021
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| ISSN: | 2214-7853, 2214-7853 |
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| Abstract | There has been constant development in the area of mechanical properties of low carbon steel but many of the approaches used to determine the properties have always been through experimentation processes. This work report the development of user friendly JavaScript program based on mathematical models for prediction of mechanical properties such as tensile strength, hardness and impact of low carbon steel; to avoid time consumption, cost and wasted efforts committed to the mechanical testing in laboratory experiments. Experimental data obtained from the mechanical tests carried out on LC-steel samples at varying thicknesses (10 mm, 12 mm 16 mm diameters) were used to formulate the model equations. Polynomial regression analysis was used as the algorithm to express the model and JavaScript programming language was used to develop simulations. Data from the models which are the predicted values for the mechanical properties were validated using t-test paired with mean, correlation coefficient and standard error analyses. The results of the model data validation show a high correlation coefficient which is a perfect positive and strong t-value in the case of the t-test paired analysis. This proved the authenticity, workability and capability of the model. Performance of the model is evaluated by the mean error and coefficient of correlation (R). The R value and validation show excellent values showing that JavaScript is appropriate to predict the mechanical properties of low carbon steel. The presented method enables easy analyses and predicting the effects of alloying elements in LC steels (occurring under manufacturing conditions) based on only computer simulation, without necessarily carrying out additional and expensive experimental investigation. |
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| AbstractList | There has been constant development in the area of mechanical properties of low carbon steel but many of the approaches used to determine the properties have always been through experimentation processes. This work report the development of user friendly JavaScript program based on mathematical models for prediction of mechanical properties such as tensile strength, hardness and impact of low carbon steel; to avoid time consumption, cost and wasted efforts committed to the mechanical testing in laboratory experiments. Experimental data obtained from the mechanical tests carried out on LC-steel samples at varying thicknesses (10 mm, 12 mm 16 mm diameters) were used to formulate the model equations. Polynomial regression analysis was used as the algorithm to express the model and JavaScript programming language was used to develop simulations. Data from the models which are the predicted values for the mechanical properties were validated using t-test paired with mean, correlation coefficient and standard error analyses. The results of the model data validation show a high correlation coefficient which is a perfect positive and strong t-value in the case of the t-test paired analysis. This proved the authenticity, workability and capability of the model. Performance of the model is evaluated by the mean error and coefficient of correlation (R). The R value and validation show excellent values showing that JavaScript is appropriate to predict the mechanical properties of low carbon steel. The presented method enables easy analyses and predicting the effects of alloying elements in LC steels (occurring under manufacturing conditions) based on only computer simulation, without necessarily carrying out additional and expensive experimental investigation. |
| Author | Adebayo, A.O. Oyetunji, A. Borisade, S.G. Ajibola, O.O. |
| Author_xml | – sequence: 1 givenname: S.G. surname: Borisade fullname: Borisade, S.G. email: sunday.borisade@fuoye.edu.ng.com organization: Department of Materials and Metallurgical Engineering, Federal University Oye-Ekiti, Nigeria – sequence: 2 givenname: O.O. orcidid: 0000-0003-0663-4314 surname: Ajibola fullname: Ajibola, O.O. organization: Department of Materials and Metallurgical Engineering, Federal University Oye-Ekiti, Nigeria – sequence: 3 givenname: A.O. surname: Adebayo fullname: Adebayo, A.O. organization: Department of Materials and Metallurgical Engineering, Federal University Oye-Ekiti, Nigeria – sequence: 4 givenname: A. surname: Oyetunji fullname: Oyetunji, A. organization: Department of Materials and Metallurgical Engineering, Federal University of Technology Akure, Ondo-State, Nigeria |
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| Cites_doi | 10.1214/10-STS330 10.1007/s00466-015-1240-4 10.1179/174328105X48151 10.1590/1980-5373-mr-2016-0183 10.1145/1809028.1806598 |
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| References | H.T. Angus, Cast Iron, Physical and Engineering Properties, Butterworths, British Cast Iron Research Association. (BCIRA), (2006) p. 128. Richards, Lebresne, Burg, Vitek (b0060) 2010; 45 Adrian, K. Kingsley-Hughes, Wiley Publishing, Inc. 10475 Crosspoint Boulevard, Indianapolis, (2005) Pp 4. Williams (b0005) 2010 Jones, Watton, Brown (b0090) 2005; 32 W. Soboyejo, Mechanical Properties of Engineered Materials, Marcel Dekker, Inc. ISBN: 0-8247-8900-8. (2003) p. 1. M.A. Sokolov, N.K. Randy, Effects of Radiation on Materials: Vol. 17, ASTM STP 1270 (1995), Pp 4. Antonio, Melchor, Andres, Ricardo (b0075) 2017; 20 Smith, Xiong, Yan (b0065) 2016; 57 Achebo (b0085) 2015; 3 J.C. Warner, H. Brandt, Metallurgical Fundamentals, Goodheart-Willcox Company Inc, ISBN 1-590703456 (2005), Pp 72. Dumortier, Lehert (b0025) 1999; 39 S. Maffeis, J.C. Mitchell, A. Taly, in: Ramalingam G. (Ed.) Programming Languages and Systems. APLAS, Lecture Notes in Computer Science, Springer; Berlin, Heidelberg, vol. 5356 (2008). Ajayi, Joseph, Oloruntoba, Joseph (b0095) 2013; 3 Oyetunji, Alaneme (b0040) 2005; 28 Shmueli (b0070) 2010; 25 Oyetunji (b0015) 2010; 6 J.S. Park, J.D. Varhoeven (2006). Metall. Mater. Trans. 2741-2753. Argon, Backer, McClintock (b0080) 1966 10.1016/j.matpr.2020.07.134_b0030 10.1016/j.matpr.2020.07.134_b0010 Shmueli (10.1016/j.matpr.2020.07.134_b0070) 2010; 25 10.1016/j.matpr.2020.07.134_b0020 10.1016/j.matpr.2020.07.134_b0045 10.1016/j.matpr.2020.07.134_b0055 10.1016/j.matpr.2020.07.134_b0035 Achebo (10.1016/j.matpr.2020.07.134_b0085) 2015; 3 Argon (10.1016/j.matpr.2020.07.134_b0080) 1966 Oyetunji (10.1016/j.matpr.2020.07.134_b0015) 2010; 6 Williams (10.1016/j.matpr.2020.07.134_b0005) 2010 Dumortier (10.1016/j.matpr.2020.07.134_b0025) 1999; 39 Oyetunji (10.1016/j.matpr.2020.07.134_b0040) 2005; 28 Jones (10.1016/j.matpr.2020.07.134_b0090) 2005; 32 Antonio (10.1016/j.matpr.2020.07.134_b0075) 2017; 20 Ajayi (10.1016/j.matpr.2020.07.134_b0095) 2013; 3 Richards (10.1016/j.matpr.2020.07.134_b0060) 2010; 45 10.1016/j.matpr.2020.07.134_b0050 Smith (10.1016/j.matpr.2020.07.134_b0065) 2016; 57 |
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| Title | Development of mathematical models for the prediction of mechanical properties of low carbon steel (LCS) |
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