Mathematical simulation experiment based on optimisation of heat treatment process of aluminium alloy materials
Author:
Affiliation:
1. Polytechnic Institute , Henan Nanyang , China
2. Department of Accounting and Finance, Faculty of Administrative Sciences , Applied Science University , Al Eker , Kingdom of Bahrain
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Link
https://www.sciendo.com/pdf/10.2478/amns.2021.1.00083
Reference13 articles.
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2. Arslankaya, S. Estimating the effects of heat treatment on aluminum alloy with artificial neural networks. Emerging Materials Research., 2020. 9(2): 540–549.
3. Dai, Q. S., Deng, Y. L., Tang, J. G., & Yu, W. A. N. G. Deformation characteristics and strain-compensated constitutive equation for AA5083 aluminum alloy under hot compression. Transactions of Nonferrous Metals Society of China., 2019. 29(11): 2252–2261.
4. Nwobi-Okoye, C. C., Ochieze, B. Q., & Okiy, S. Multi-objective optimization and modeling of age hardening process using ANN, ANFIS and genetic algorithm: Results from aluminum alloy A356/cow horn particulate composite. Journal of Materials Research and Technology., 2019. 8(3): 3054–3075.
5. Munoz-Ibanez, C., Alfaro-Ponce, M., & Chairez, I. Hierarchical artificial neural network modelling of aluminum alloy properties used in die casting. The International Journal of Advanced Manufacturing Technology., 2019. 104(1): 1541–1550.
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