Analytical temperature prediction for cutting steel

被引：18

作者：

Abouridouane, Mustapha ^{[1
]}

Klocke, Fritz ^{[1
]}

Doebbeler, Benjamin ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, Aachen, Germany

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2016年 / 65卷 / 01期

关键词：

Temperature prediction; Heat balancing; Cutting steel; FRICTIONAL HEAT-SOURCE; TOOL-CHIP INTERFACE; RISE DISTRIBUTION; MACHINING PROCESSES; PART I; METAL; DISTRIBUTIONS;

D O I：

10.1016/j.cirp.2016.04.039

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The generated temperatures in cutting operations decisively control the cutting mechanics, the tool life and the process performance. Therefore, several models have been developed to predict the temperatures involved in cutting processes. However, the developed models are very complex, laborious to check, and hence impractical for industrial applications. This work proposes an analytical approach to quickly and easily estimate the temperature when cutting steel. It bases on the classical shear zone theory of Oxley and the heat balancing according to Kronenberg. Orthogonal cutting tests using cemented carbide tools and finite element cutting simulations are performed to successfully validate the developed approach. (C) 2016 CIRP.

引用

页码：77 / 80

页数：4

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