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Influence of Tool Wear and Workpiece Diameter on Surface Quality and Prediction of Surface Roughness in Turning

Authors :
Chunxiao Li
Guoyong Zhao
Dong Ji
Guangteng Zhang
Limin Liu
Fandi Zeng
Zhihuan Zhao
Source :
Metals, Vol 14, Iss 11, p 1205 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

In turning, tool wear and cutting vibration are inevitable, which have great influence on surface quality. Analyzing the influence mechanism of tool wear and cutting vibration on surface quality is important to achieve the accurate prediction of surface roughness before machining and improve machining quality. In this paper, a turning vibration experiment is conducted to reveal that the diameter of shafts is an important factor affecting the vibration amplitude and frequency. In addition, based on machining parameters, tool wear and workpiece diameter, this empirical model, the response surface method and a support vector machine are used to model and predict surface roughness. The fitting accuracy, prediction accuracy and generalization performance of the proposed methods are compared in detail. The results show that the response surface modeling method has the highest fitting accuracy, but the exponential empirical modeling method has the highest prediction accuracy and best generalization performance. Additionally, the prediction results indicate that the surface roughness increases with the increase in tool wear and decreases with the increase in workpiece diameter.

Details

Language :
English
ISSN :
20754701
Volume :
14
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Metals
Publication Type :
Academic Journal
Accession number :
edsdoj.414eb53fa14747e9ae07614decaf2f9c
Document Type :
article
Full Text :
https://doi.org/10.3390/met14111205