Modeling of the minimum cutting thickness in micro cutting with consideration of the friction around the cutting zone

Tianfeng ZHOU, Ying WANG, Benshuai RUAN, Zhiqiang LIANG, Xibin WANG

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Front. Mech. Eng. ›› 2020, Vol. 15 ›› Issue (1) : 81-88. DOI: 10.1007/s11465-019-0561-y
RESEARCH ARTICLE
RESEARCH ARTICLE

Modeling of the minimum cutting thickness in micro cutting with consideration of the friction around the cutting zone

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Abstract

Friction modeling between the tool and the workpiece plays an important role in predicting the minimum cutting thickness during TC4 micro machining and finite element method (FEM) cutting simulation. In this study, a new three-region friction modeling is proposed to illustrate the material flow mechanism around the friction zone in micro cutting; estimate the stress distributions on the rake, edge, and clearance faces of the tool; and predict the stagnation point location and the minimum cutting thickness. The friction modeling is established by determining the distribution of normal and shear stress. Then, it is applied to calculate the stagnation point location on the edge face and predict the minimum cutting thickness. The stagnation point and the minimum cutting thickness are also observed and illustrated in the FEM simulation. Micro cutting experiments are conducted to validate the accuracy of the friction and the minimum cutting thickness modeling. Comparison results show that the proposed friction model illustrates the relationship between the normal and sheer stress on the tool surface, thereby validating the modeling method of the minimum cutting thickness in micro cutting.

Keywords

tool friction / minimum cutting thickness / finite element method / tool edge radius / micro cutting

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Tianfeng ZHOU, Ying WANG, Benshuai RUAN, Zhiqiang LIANG, Xibin WANG. Modeling of the minimum cutting thickness in micro cutting with consideration of the friction around the cutting zone. Front. Mech. Eng., 2020, 15(1): 81‒88 https://doi.org/10.1007/s11465-019-0561-y

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2019 The Author(s) 2019. This article is published with open access at link.springer.com and journal.hep.com.cn
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