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A Review of the Intelligent Optimization and Decision in Plastic Forming

The plastic forming process involves many influencing factors and has some inevitable disturbance factors, rendering the multi-objective collaborative optimization difficult. With the rapid development of big data and artificial intelligence (AI) technology, intelligent process optimization has beco...

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Detalles Bibliográficos
Autores principales: Tang, Xuefeng, Wang, Zhizhou, Deng, Lei, Wang, Xinyun, Long, Jinchuan, Jiang, Xin, Jin, Junsong, Xia, Juchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573599/
https://www.ncbi.nlm.nih.gov/pubmed/36234360
http://dx.doi.org/10.3390/ma15197019
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author Tang, Xuefeng
Wang, Zhizhou
Deng, Lei
Wang, Xinyun
Long, Jinchuan
Jiang, Xin
Jin, Junsong
Xia, Juchen
author_facet Tang, Xuefeng
Wang, Zhizhou
Deng, Lei
Wang, Xinyun
Long, Jinchuan
Jiang, Xin
Jin, Junsong
Xia, Juchen
author_sort Tang, Xuefeng
collection PubMed
description The plastic forming process involves many influencing factors and has some inevitable disturbance factors, rendering the multi-objective collaborative optimization difficult. With the rapid development of big data and artificial intelligence (AI) technology, intelligent process optimization has become one of the critical technologies for plastic forming. This paper elaborated on the research progress on the intelligent optimization of plastic forming and the data-driven process planning and decision-making system in plastic forming process optimization. The development trend in intelligent optimization of the plastic forming process was researched. This review showed that the intelligent optimization algorithm has great potential in controlling forming quality, microstructure, and performance in plastic forming. It is a general trend to develop an intelligent optimization model of the plastic forming process with high integration, versatility, and high performance. Future research will take the data-driven expert system and digital twin system as the carrier, integrate the optimization algorithm and model, and realize the multi-scale, high-precision, high-efficiency, and real-time optimization of the plastic forming process.
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spelling pubmed-95735992022-10-17 A Review of the Intelligent Optimization and Decision in Plastic Forming Tang, Xuefeng Wang, Zhizhou Deng, Lei Wang, Xinyun Long, Jinchuan Jiang, Xin Jin, Junsong Xia, Juchen Materials (Basel) Review The plastic forming process involves many influencing factors and has some inevitable disturbance factors, rendering the multi-objective collaborative optimization difficult. With the rapid development of big data and artificial intelligence (AI) technology, intelligent process optimization has become one of the critical technologies for plastic forming. This paper elaborated on the research progress on the intelligent optimization of plastic forming and the data-driven process planning and decision-making system in plastic forming process optimization. The development trend in intelligent optimization of the plastic forming process was researched. This review showed that the intelligent optimization algorithm has great potential in controlling forming quality, microstructure, and performance in plastic forming. It is a general trend to develop an intelligent optimization model of the plastic forming process with high integration, versatility, and high performance. Future research will take the data-driven expert system and digital twin system as the carrier, integrate the optimization algorithm and model, and realize the multi-scale, high-precision, high-efficiency, and real-time optimization of the plastic forming process. MDPI 2022-10-10 /pmc/articles/PMC9573599/ /pubmed/36234360 http://dx.doi.org/10.3390/ma15197019 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Tang, Xuefeng
Wang, Zhizhou
Deng, Lei
Wang, Xinyun
Long, Jinchuan
Jiang, Xin
Jin, Junsong
Xia, Juchen
A Review of the Intelligent Optimization and Decision in Plastic Forming
title A Review of the Intelligent Optimization and Decision in Plastic Forming
title_full A Review of the Intelligent Optimization and Decision in Plastic Forming
title_fullStr A Review of the Intelligent Optimization and Decision in Plastic Forming
title_full_unstemmed A Review of the Intelligent Optimization and Decision in Plastic Forming
title_short A Review of the Intelligent Optimization and Decision in Plastic Forming
title_sort review of the intelligent optimization and decision in plastic forming
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573599/
https://www.ncbi.nlm.nih.gov/pubmed/36234360
http://dx.doi.org/10.3390/ma15197019
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