Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming
The sintering mold imposes strict requirements for temperature uniformity. The mold geometric parameters and the power configuration of heating elements exert substantial influence. In this paper, we introduce an optimization approach that combines response surface models with the sequential quadrat...
| 出版年: | Heliyon |
|---|---|
| 主要な著者: | , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Elsevier
2024-04-01
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| 主題: | |
| オンライン・アクセス: | http://www.sciencedirect.com/science/article/pii/S2405844024054070 |
| _version_ | 1850044547308978176 |
|---|---|
| author | Sanli Liu Min Chen Nan Zhu Zhouyi Xiang Songhua Huang Shunqi Zhang |
| author_facet | Sanli Liu Min Chen Nan Zhu Zhouyi Xiang Songhua Huang Shunqi Zhang |
| author_sort | Sanli Liu |
| collection | DOAJ |
| container_title | Heliyon |
| description | The sintering mold imposes strict requirements for temperature uniformity. The mold geometric parameters and the power configuration of heating elements exert substantial influence. In this paper, we introduce an optimization approach that combines response surface models with the sequential quadratic programming algorithm to optimize the geometric parameters and heating power configuration of a heating system for sintering mold. The response surface models of the maximum temperature difference, maximum temperature, and minimum temperature of the sintering area are constructed utilizing the central composite design method. The model's reliability is rigorously confirmed through variance analysis, residual analysis, and generalization capability validation. The models demonstrate remarkable predictive accuracy within the design space. A nonlinear constrained optimization model is established based on the response surface models, and the optimal parameters are obtained after 9 iterations using the sequential quadratic programming algorithm. Under the optimal parameters, the maximum temperature difference is maintained at less than 5 °C, confirming exceptional temperature uniformity. We conduct parameter analysis based on standardized effects to determine the main influencing factors of temperature uniformity, revealing that the distance between adjacent heating rods and the power density of the inner heating rods exert significant influence. Enhanced temperature uniformity can be achieved by adopting a larger distance between heating rods and configuring the power density of the heating rods to a relatively modest level. This work introduces a practical approach to optimize the heating systems for sintering molds, with potential applications in various industrial mold optimization. |
| format | Article |
| id | doaj-art-59a2f6dfe53d4e5d96b825c3ba0ceebb |
| institution | Directory of Open Access Journals |
| issn | 2405-8440 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-59a2f6dfe53d4e5d96b825c3ba0ceebb2025-08-20T00:29:47ZengElsevierHeliyon2405-84402024-04-01108e2937610.1016/j.heliyon.2024.e29376Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programmingSanli Liu0Min Chen1Nan Zhu2Zhouyi Xiang3Songhua Huang4Shunqi Zhang5School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, ChinaSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China; Corresponding author.ZINSIGHT Technology (Shanghai) Co., Ltd, Shanghai, ChinaSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, ChinaSchool of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, ChinaThe sintering mold imposes strict requirements for temperature uniformity. The mold geometric parameters and the power configuration of heating elements exert substantial influence. In this paper, we introduce an optimization approach that combines response surface models with the sequential quadratic programming algorithm to optimize the geometric parameters and heating power configuration of a heating system for sintering mold. The response surface models of the maximum temperature difference, maximum temperature, and minimum temperature of the sintering area are constructed utilizing the central composite design method. The model's reliability is rigorously confirmed through variance analysis, residual analysis, and generalization capability validation. The models demonstrate remarkable predictive accuracy within the design space. A nonlinear constrained optimization model is established based on the response surface models, and the optimal parameters are obtained after 9 iterations using the sequential quadratic programming algorithm. Under the optimal parameters, the maximum temperature difference is maintained at less than 5 °C, confirming exceptional temperature uniformity. We conduct parameter analysis based on standardized effects to determine the main influencing factors of temperature uniformity, revealing that the distance between adjacent heating rods and the power density of the inner heating rods exert significant influence. Enhanced temperature uniformity can be achieved by adopting a larger distance between heating rods and configuring the power density of the heating rods to a relatively modest level. This work introduces a practical approach to optimize the heating systems for sintering molds, with potential applications in various industrial mold optimization.http://www.sciencedirect.com/science/article/pii/S2405844024054070Temperature uniformitySintering moldResponse surface methodologySequential quadratic programmingOptimal design |
| spellingShingle | Sanli Liu Min Chen Nan Zhu Zhouyi Xiang Songhua Huang Shunqi Zhang Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming Temperature uniformity Sintering mold Response surface methodology Sequential quadratic programming Optimal design |
| title | Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming |
| title_full | Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming |
| title_fullStr | Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming |
| title_full_unstemmed | Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming |
| title_short | Optimizing heat source distribution in sintering molds: Integrating response surface model with sequential quadratic programming |
| title_sort | optimizing heat source distribution in sintering molds integrating response surface model with sequential quadratic programming |
| topic | Temperature uniformity Sintering mold Response surface methodology Sequential quadratic programming Optimal design |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024054070 |
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