Development of semi empirical model on material removal rate in WEDM process for aluminium metal matrix material using dimensional analysis

J. Patel, K. Maniya
{"title":"Development of semi empirical model on material removal rate in WEDM process for aluminium metal matrix material using dimensional analysis","authors":"J. Patel, K. Maniya","doi":"10.1504/IJMR.2019.10018363","DOIUrl":null,"url":null,"abstract":"Wire electrical discharge machining is a non-conventional process for manufacturing complicated and intricate parts. In this paper, dimensional analysis and nonlinear estimation method Quassi Newton was used to established semi empirical model for various aluminium metal matrix material considering pulse on time, wire diameter, peak current and various materials properties likes density, thermal conductivity, electrical conductivity, specific heat capacity, coefficient of thermal expansion, melting temperature, and latent heat of fusion as model parameter. Taguchi L27 orthogonal array were used to perform the experiment for aluminium metal matrix. Semi empirical model shows more than 99% prediction than experiment data. Constant and power indices value of model shows wire diameter, peak current, pulse on time and work material properties such as thermal expansion of coefficient and melting point temperature are significant parameters for material removal rate. [Submitted 26 August 2017; Accepted 2 April 2018]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Manuf. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMR.2019.10018363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Wire electrical discharge machining is a non-conventional process for manufacturing complicated and intricate parts. In this paper, dimensional analysis and nonlinear estimation method Quassi Newton was used to established semi empirical model for various aluminium metal matrix material considering pulse on time, wire diameter, peak current and various materials properties likes density, thermal conductivity, electrical conductivity, specific heat capacity, coefficient of thermal expansion, melting temperature, and latent heat of fusion as model parameter. Taguchi L27 orthogonal array were used to perform the experiment for aluminium metal matrix. Semi empirical model shows more than 99% prediction than experiment data. Constant and power indices value of model shows wire diameter, peak current, pulse on time and work material properties such as thermal expansion of coefficient and melting point temperature are significant parameters for material removal rate. [Submitted 26 August 2017; Accepted 2 April 2018]
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于量纲分析的铝基材料电火花加工材料去除率半经验模型的建立
线材放电加工是一种制造复杂零件的非常规工艺。本文采用量纲分析和非线性估计方法准牛顿,以脉冲时间、丝径、峰值电流以及密度、导热系数、电导率、比热容、热膨胀系数、熔化温度、熔合潜热等材料性能为模型参数,建立了各种铝金属基体材料的半经验模型。采用田口L27正交阵列对铝金属基体进行实验。半经验模型的预测结果比实验数据高出99%以上。模型的常数和功率指标值表明,线径、峰值电流、脉冲时间和工作材料的热膨胀系数、熔点温度等性能是影响材料去除率的重要参数。[2017年8月26日提交;接受2018年4月2日]
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Computer simulation and optimisation of material handling systems FEM assessment of the effects of machining parameters in vibration assisted nano impact machining of silicon by loose abrasives Prediction of three-dimensional coordinate measurement of space points based on BP neural network An integrated approach for multi-period manufacturing planning of job-shops Supplier evaluation and selection based on quality matchable degree
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1