Prediction of surface roughness using cutting parameters and vibration signals in minimum quantity coolant assisted turning of Ti-6Al-4V alloy

被引：0

作者：

机构：

[1] Mechanical and Industrial Engineering Department, Indian Institute of Technology Roorkee

来源：

Upadhyay, V. (vikasupadhyay.agra@gmail.com) | 1600年 / Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 27期

关键词：

Green manufacturing; Multiple regression; Surface roughness; Vibration signals;

D O I：

10.1504/IJMTM.2013.058636

中图分类号：

学科分类号：

摘要：

In this work, an attempt has been made to investigate the role of vibration signals in prediction of surface roughness in minimum quantity coolant assisted turning of Ti-6Al-4V alloy. Initially, a model of surface roughness as a function of cutting parameters was developed to serve as the reference data. Subsequently, two more models were developed - one representing the variation of surface roughness with the vibration and the other represents the variation of surface roughness as a function of cutting parameters and vibration signal considered in tandem. A comparison of the three models established that the model based on simultaneous consideration of cutting parameters and vibration was the most accurate of the three. Copyright © 2013 Inderscience Enterprises Ltd.

引用

页码：33 / 46

页数：13

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