Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST

The traditional foundry industry has developed rapidly in recently years due to advancements in computer technology. Modifying and designing the feeding system has become more convenient with the help of the casting software, InteCAST. A common method of designing a feeding system is to first design...

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Main Authors: Chang-chun Dong, Xu Shen, Jian-xin Zhou
Format: Article
Language:English
Published: Foundry Journal Agency 2016-11-01
Series:China Foundry
Subjects:
Online Access:http://ff.foundryworld.com/uploadfile/2016121239209257.pdf
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author Chang-chun Dong
Xu Shen
Jian-xin Zhou
author_facet Chang-chun Dong
Xu Shen
Jian-xin Zhou
author_sort Chang-chun Dong
collection DOAJ
description The traditional foundry industry has developed rapidly in recently years due to advancements in computer technology. Modifying and designing the feeding system has become more convenient with the help of the casting software, InteCAST. A common method of designing a feeding system is to first design the initial systems, run simulations with casting software, analyze the feedback, and then redesign. In this work, genetic, fruit fly, and interior point optimizer (IPOPT) algorithms were introduced to guide the optimal riser design for the feeding system. The results calculated by the three optimal algorithms indicate that the riser volume has a weak relationship with the modulus constraint; while it has a close relationship with the volume constraint. Based on the convergence rate, the fruit fly algorithm was obviously faster than the genetic algorithm. The optimized riser was also applied during casting, and was simulated using InteCAST. The numerical simulation results reveal that with the same riser volume, the riser optimized by the genetic and fruit fly algorithms has a similar improvement on casting shrinkage. The IPOPT algorithm has the advantage of causing the smallest shrinkage porosities, compared to those of the genetic and fruit fly algorithms, which were almost the same.
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spelling doaj.art-7d882ae84c934274a25fdbf92c1a05202022-12-21T22:37:02ZengFoundry Journal AgencyChina Foundry1672-64211672-64212016-11-0113637538210.1007/s41230-016-5135-6Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCASTChang-chun Dong0Xu Shen1Jian-xin Zhou2State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, ChinaState Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, ChinaThe traditional foundry industry has developed rapidly in recently years due to advancements in computer technology. Modifying and designing the feeding system has become more convenient with the help of the casting software, InteCAST. A common method of designing a feeding system is to first design the initial systems, run simulations with casting software, analyze the feedback, and then redesign. In this work, genetic, fruit fly, and interior point optimizer (IPOPT) algorithms were introduced to guide the optimal riser design for the feeding system. The results calculated by the three optimal algorithms indicate that the riser volume has a weak relationship with the modulus constraint; while it has a close relationship with the volume constraint. Based on the convergence rate, the fruit fly algorithm was obviously faster than the genetic algorithm. The optimized riser was also applied during casting, and was simulated using InteCAST. The numerical simulation results reveal that with the same riser volume, the riser optimized by the genetic and fruit fly algorithms has a similar improvement on casting shrinkage. The IPOPT algorithm has the advantage of causing the smallest shrinkage porosities, compared to those of the genetic and fruit fly algorithms, which were almost the same.http://ff.foundryworld.com/uploadfile/2016121239209257.pdfcasting process design; optimal solution; InteCAST
spellingShingle Chang-chun Dong
Xu Shen
Jian-xin Zhou
Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST
China Foundry
casting process design; optimal solution; InteCAST
title Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST
title_full Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST
title_fullStr Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST
title_full_unstemmed Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST
title_short Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST
title_sort optimal design of feeding system in steel casting by constrained optimization algorithms based on intecast
topic casting process design; optimal solution; InteCAST
url http://ff.foundryworld.com/uploadfile/2016121239209257.pdf
work_keys_str_mv AT changchundong optimaldesignoffeedingsysteminsteelcastingbyconstrainedoptimizationalgorithmsbasedonintecast
AT xushen optimaldesignoffeedingsysteminsteelcastingbyconstrainedoptimizationalgorithmsbasedonintecast
AT jianxinzhou optimaldesignoffeedingsysteminsteelcastingbyconstrainedoptimizationalgorithmsbasedonintecast