Multi-objective Optimization in Drilling Kevlar Fiber Reinforced Polymer Using Grey Fuzzy Analysis and Backpropagation Neural Network–Genetic Algorithm (BPNN–GA) Approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12541-019-00017-z.pdf
Reference31 articles.
1. Zheng, L., Zhou, H., & Gao, C. (2012). Hole drilling in ceramics Kevlar fiber reinforced plastics double-plate composite armor using diamond core drill. Journal Material and Design, 40, 461–466.
2. Bhattacharyya, D., & Horrigan, D. P. W. (1998). A study of hole drilling in kevlar composites. Composites Science and Technology, 58, 267–283.
3. Krishnamoorthy, A., Boopathy, S. R., Palanikumar, K., & Davim, J. P. (2012). Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics. Measurement, 45(5), 1286–1296.
4. Shunmugesh, K., & Panneerselvam, K. (2016). Machinability study of carbon fiber reinforced polymer in the longitudinal and transverse direction and optimization of process parameters using PSO-GSA. Engineering Science and Technology an International Journal, 19, 1552–1563.
5. Palanikumar, K., Latha, B., & Davim, J. P. (2012). Application of Taguchi method with grey fuzzy logic for the optimization of machining parameters in machining composites. Computational Methods for Optimizing Manufacturing Technology: Models and Techniques. https://doi.org/10.4018/978-1-4666-0128-4.ch009 .
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Predictive modeling of drilling machine performance for jute fiber-reinforced polymer composites using GA, TLBO, and GRA-based RSM approaches;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-06-03
2. Energy-saving and low-carbon leather production: AI-assisted chrome tanning process optimization;Journal of Cleaner Production;2024-06
3. Comparison of drilling and milling hole-forming mechanism of AFRP and experimental study of MQL;The International Journal of Advanced Manufacturing Technology;2024-04-26
4. A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method;Lecture Notes in Electrical Engineering;2024
5. Reducing delamination risk with response surface methodology-supported drilling analysis for Nomex® aramid fiber composites;Journal of Composite Materials;2023-12-26
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3