Modeling and experimental study of temperature distributions in end milling Ti6Al4V with solid carbide tool-Reference-Cited by-同舟云学术

Modeling and experimental study of temperature distributions in end milling Ti6Al4V with solid carbide tool

Published:2016-08-06 Issue:2 Volume:231 Page:217-227
ISSN:0954-4054
Container-title:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Author:

Sun Yujing¹,Sun Jie²,Li Jianfeng²

Affiliation:

1. School of Mechanical & Automotive Engineering, Qilu University of Technology, Jinan, China

2. School of Mechanical Engineering, Shandong University, Jinan, China

Abstract

The objective of this study is to model the temperature distributions in milling analytically. In this article, previous research on heat generation and heat dissipation in the machining process was reviewed and then the temperature model in intermittent cutting with continuously varying chip thickness was established. The experimental study to measure cutting temperature in milling Ti6Al4V utilizing semi-artificial thermocouple was presented. The predicted and experimental results for milling process were presented and compared. The results showed that the proposed mathematical model could predict cutting temperature with high accuracy.

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/0954405415577553

Reference32 articles.

1. An investigation of cutting force and tool–work interface temperature in milling of Al–SiCp metal matrix composite

2. Investigation of cutting force and temperature of end-milling Ti–6Al–4V with different minimum quantity lubrication (MQL) parameters

3. Prediction of cutting force and temperature rise in the end-milling operation

4. Workpiece temperature measurement in machining

5. Optimizing end-milling parameters for surface roughness under different cooling/lubrication conditions

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