Suppr超能文献

使用响应面法(RSM)、萤火虫群优化算法(GSO)和遗传算法(GA)优化方法对具有直钻冷却通道和随形冷却通道的注塑件进行翘曲优化。

Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches.

作者信息

Mohd Hanid Mohd Hazwan, Abd Rahim Shayfull Zamree, Gondro Joanna, Sharif Safian, Al Bakri Abdullah Mohd Mustafa, Zain Azlan Mohd, El-Hadj Abdellah Abdellah, Mat Saad Mohd Nasir, Wysłocki Jerzy J, Nabiałek Marcin

机构信息

Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia.

Center of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis, Kangar 01000, Perlis, Malaysia.

出版信息

Materials (Basel). 2021 Mar 10;14(6):1326. doi: 10.3390/ma14061326.

Abstract

It is quite challenging to control both quality and productivity of products produced using injection molding process. Although many previous researchers have used different types of optimisation approaches to obtain the best configuration of parameters setting to control the quality of the molded part, optimisation approaches in maximising the performance of cooling channels to enhance the process productivity by decreasing the mould cycle time remain lacking. In this study, optimisation approaches namely Response Surface Methodology (RSM), Genetic Algorithm (GA) and Glowworm Swarm Optimisation (GSO) were employed on front panel housing moulded using Acrylonitrile Butadiene Styrene (ABS). Each optimisation method was analysed for both straight drilled and Milled Groove Square Shape (MGSS) conformal cooling channel moulds. Results from experimental works showed that, the performance of MGSS conformal cooling channels could be enhanced by employing the optimisation approach. Therefore, this research provides useful scientific knowledge and an alternative solution for the plastic injection moulding industry to improve the quality of moulded parts in terms of deformation using the proposed optimisation approaches in the used of conformal cooling channels mould.

摘要

控制注塑成型工艺生产的产品质量和生产率颇具挑战性。尽管许多先前的研究人员使用了不同类型的优化方法来获得控制成型部件质量的最佳参数设置配置,但在通过减少模具周期时间来最大化冷却通道性能以提高工艺生产率方面,仍缺乏优化方法。在本研究中,对使用丙烯腈 - 丁二烯 - 苯乙烯(ABS)成型的前面板外壳采用了响应面法(RSM)、遗传算法(GA)和萤火虫群优化(GSO)等优化方法。针对直钻式和铣槽方形(MGSS)保形冷却通道模具对每种优化方法进行了分析。实验工作结果表明,采用优化方法可以提高MGSS保形冷却通道的性能。因此,本研究为塑料注塑行业提供了有用的科学知识和替代解决方案,以便在使用保形冷却通道模具时,利用所提出的优化方法在变形方面提高成型部件的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01e5/8000972/6c2e598fb660/materials-14-01326-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验