Mathematical modeling of process parameters on hard turning of AIST 316 SS by WC insert

被引：0
|
作者：
Ranganathan, S. [1 ]
Senthilvelan, T. [2 ]
Sriram, G. [1 ]
机构：
[1] Sri Chandrasekharendra Saraswathi Vishwa Maha Vid, Dept Mech Engn, Enathur 631561, Kanchipuram, India
[2] Pondicherry Engn Coll, Dept Mech Engn, Pondicherry 605104, India
来源：
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH | 2009年 / 68卷 / 07期
关键词：
ANOVA; Factorial design; Hard turning; Predictive model; Surface roughness; Tool wear; FINISH;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a newly developed mathematical modeling for process 0 parameters on hard turning of AISI 316 stainless steel by tungsten carbide inserts (WC). Regression analysis and ANOVA theory was used to predict surface roughness (Ra) and tool wear (V-B). WC tool inserts performed machining of AISI 316 SS to study main and interaction effects of process parameters [cutting speed (Vs), feed rate (fs) and depth of cut (a(p))]. Adequacies of developed model were verified by calculation of correlation coefficient (r). These models can be effectively used to predict Ra of work piece and V-B Of WC insert.
引用
收藏
页码：592 / 596
页数：5
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