Application of Neural Network for Material Selection: A Review

International Journal of Material Science and Engineering

© 2021 by SSRG - IJMSE Journal

Volume 7 Issue 2

Year of Publication : 2021

Authors : Abdussalam Mamoon, Adamu Umar Alhaji, Ibrahim Abdullahi

10.14445/23948884/IJMSE-V7I2P101

How to Cite?

Abdussalam Mamoon, Adamu Umar Alhaji, Ibrahim Abdullahi, "Application of Neural Network for Material Selection: A Review," SSRG International Journal of Material Science and Engineering, vol. 7,  no. 2, pp. 1-6, 2021. Crossref, https://doi.org/10.14445/23948884/IJMSE-V7I2P101

Abstract:

The growing material demand due to technological advancement has motivated material engineers to develop a large variety of materials as a substitute to conventional materials. However, little attention has been given to the tools and methods that aid material selection processes. This work reviews the principle of material selection as well as other multi-criteria decision-making (MCDM) techniques used in material selection. MCDM is considered a complex decision-making tool involving both qualitative and quantitative factors. Recently, several MCDM techniques and approaches have been suggested and developed to aid the decision-making process. The main aim of this research is to systematically review the application of neural networks as MCDM technique either used individually or integrated with other MCDM techniques. With numerous developed individual and integrated approaches for material selection problems, this systematic review identified two important themes that are important, i.e., screening and ranking.

Keywords:

decision making, neural network, material selection, MCDM.

References:

[1] Jahan A., Ismail M. Y., Sapuan S. M., Mustapha F., Material screening and choosing methods – A review. Materials and Design, (2010)696-705.
[2] Somkuwar A. K., Khaira H. K., Somkuwar V., Materials Selection For Product Design Using Artificial Neural Network Technique. Journal of Engineering, Science and Management Education, (2010) 51-54.
[3] Ashby M. F., Brechet Y. J. M., Cebon D., Selection Strategies for Materials and Processes. Mater Des, (2004) 51-67.
[4] Sapuan S. M., Materials Selection for Composites: Concurrent Engineering Perspective. In Composite Materials(2017) 209-265. http://dx.doi.org/10.1016/B978-0-12-802507-9.00006-4.
[5] Zhou C-C., Yin G-F., Hu X-B., Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach. Materials and Design, (2009)1209-1215.
[6] Abali R.,Development of Material Selection Software for Non-Ferrous Metals. Kano: BUK Dissertation., (2017).
[7] Shanian A., Savadogo O., A material selection model based on the concept of multiple attribute decision making. Material and Design,(2006) 329-337.
[8] Ahmed Ali B. A., Sapuan S. M., Zainudin E. S., Othman M., Java based expert system for selection of natural fibre composite materials. Journal of Food, Agriculture & Environment, (2013)1871-1877.
[9] Ahmed Ali B. A., Sapuan S. M., Zainudin E. S., Othman M., Integration of Artificial Neural Network and Expert System for Material Classification of Natural Fibre Reinforced Polymer Composites. American Journal of Applied Sciences, (2015)174-184.
[10] Shabani M. O., Mazahery A., Bahmani A. Davami P., Varahram N., Solidification of A356 Al alloy: experimental study and modeling. Kovove Mater., 49(2011)253-258.
[11] Sapuan S. M., Mujtaba I. M., Development of a Prototype Computational Framework for Selection of Natural Fiber Reinforced Polymer Composite Materials Using Neural Network. Composite Materials Technology: Neural Network Applications, (2010)317-340.
[12] Kröse B., Van der Smagt P.,An introduction to neural networks. Amsterdam: The University of Amsterdam., (1996).
[13] Yegnanarayana B., Artificial neural networks. PHI Learning Pvt. Ltd.,(2009).
[14] Heaton J.,Introduction to neural networks with Java. Heaton Research, Inc., (2008).
[15] Ermolaeva N. S.,Kaveline K. G., Spoormaker J. L., Materials selection combined with optimal structural design: concept and some results. Materials and Design ,(2002) 459–470.
[16] Rahim A. A. A., Musa S. N., Ramesh S., Lim M. K., A Systematic Review on Material Selection Methods. Journal of Materials: Design and Application, (2020)1-28.
[17] Goel V., Chen J., Application of Expert Network for Material Selection in Engineering Design. Computers in Industry, (1996)87-101.
[18] Ipek M., Selvi I. H., Findik F., Torkul O., Cedimoglu I. H., An expert system based material selection approach to manufacturing. Materials and Design, (2012)1-32 http://dx.doi.org/10.1016/j.matdes.2012.11.060.
[19] Chatterjee P., Athawale V. M., Chakraborty S. ,Materials selection using complex proportional assessment and evaluation of mixed data methods. Mater Des, (2011)851-860.
[20] Jahan A., Ismail Md. Y., Shuib S., Norfazidah D., Edwards K. L., An aggregation technique for optimal decision-making in materials selection. Materials and Design, (2011)4918-4924.
[21] Davoodi M. M., Sapuan S. M., Aidy A., Abu Osman N. A., Oshkour A. A., Wan Abas W. A. B., Development process of new bumper beam for passenger car: A review. Materials and Design, (2012)304-313.
[22] Edwards K. L., Strategic substitution of new materials for old: Applications in automotive product development. Materials and Design, (2004)529-533.
[23] Faraq M. M. (1997). Materials Selection for Engineering Design. London: Prentice-Hall.
[24] Ashby M. F., Brechet Y. J. M., Cebon D., Selection Strategies for Materials and Processes. Mater Des, (2004) 51-67.
[25] Faraq M. M., Quantitative Methods of Materials Selection. Cairo, Egypt: Mechanical Engineers Handbook, Fourth Edition, edited by Myer Kutz., (2015).
[26] Jahan A., Edwards K. L., Bahraminasab M.,Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design. Oxford, United Kingdom: Butterworth-Heinemann, DOI: https://doi.org/10.1016/C2014-0-03347-3.(2016).
[27] Sapuan S. M., A knowledge-based system for materials selection in mechanical engineering design. Materials and Design, (2001) 687-695.
[28] Amoiralis E. I., Georgilakis P. S., Gioulekas A. T., An Artificial Neural Network for the Selection of Winding Material in Power Transformers. Conference Paper, (2006) 465-468.
[29] Noryani M., Sapuan S. M., Mastura M. T., Multi-criteria decision-making tools for material selection of natural fibre composite: A review. Journal of Mechanical Engineering and Sciences, (2018)3330-3353.
[30] Rao R.V., Davim J.P., A decision-making framework model for material selection using a combined multiple attribute decision-making method. Int. J. Adv. Manuf. Technol, (2008)751-760.
[31] Singh A. K., Avikal S., Nithin Kumar K. C., Manish K., Thakura P.,
A fuzzy-AHP and M- TOPSIS based approach for selection of composite materials used in structural applications. Materials Today: Proceedings, (2020)1-5 https://doi.org/10.1016/j.matpr.2020.02.644.
[32] Patnaik P. K., Swain P. T. R., Purohit A., Selection of composite materials for structural applications through. Materials Today: Proceedings, (2019) 3454–3461.
[33] Patnaik P. M., Swain P. T. R., Mishra S. K., Purohit A., Biswas S., Composite material selection for structural applications based on AHP-MOORA approach. Materials Today: Proceedings, (2020)1-5 https://doi.org/10.1016/j.matpr.2020.04.063.
[34] AL-Oqla F. M., Sapuan S. M., Ishak M. R., Nuraini A. A.., A Model for Evaluating and Determining the Most Appropriate Polymer Matrix Type for Natural Fiber Composites. International Journal of Polymer Analysis and Characterization, (2015) 191-205.
[35] Smith L. N., German R. M., Smith M. L., A neural network approach for solution of the inverse problem for selection of powder metallurgy materials. Journals of materials Processing Technology, (2002) 419-425.
[36] Yang S. Y., Tansel I. N., Kropas-Hughes C. V., Selection of optimal material and operating conditions in composite manufacturing. Part I: computational tool. International Journal of Machine Tools & Manufacture, (2003) 169-173.
[37] Yang S. Y., Girivasan V., Singh N. R., Tansel I. N., Kropas-Hughes C. V., Selection of optimal material and operating conditions in composite manufacturing. Part II: complexity, representation of characteristics and decision making. International Journal of Machine Tools & Manufacture, (2003)175-184.
[38] Hanafizadeh P., Ravasan A. Z., Khaki H. R., An expert system for perfume selection using artificial neural network. Expert Systems with Applications, (2010)8879-8887.
[39] Somkuwar V., Bhagoriya J. L., Khaira H. K., An expert system for aid in material selection process using artificial neural network. International Journal of Advance Engineering Application, (2011)169-171.
[40] Golmohammadi D., Neural network application for fuzzy multi-criteria decision making problems. Int. J. Production Economics, (2011) 490-504.
[41] Cherian R., Smith L. N., Midha P. S., A Neural Network Approach for Selection of Powder Metallurgy Materials and Process Parameters. Artificial Intelligence in Engineering ,(2000) 1-8.
[42] Asthana N., Gupta M., Supplier selection using artificial neural network and genetic algorithm. Int. J. Indian Culture and Business Management,(2015) 457-472.