A Coupled Thermomechanical Modeling Method for Predicting Grinding Residual Stress Based on Randomly Distributed Abrasive Grains

Author:

Nie Zhenguo12,Wang Gang3,Wang Liping4,Rong Yiming (Kevin)5

Affiliation:

1. State Key Laboratory of Tribology,Institute of Manufacturing Engineering,Department of Mechanical Engineering,Tsinghua University,Beijing 100084, China;

2. Department of Mechanical Engineering,Carnegie Mellon University,Pittsburgh, PA 15213e-mails: zhenguon@andrew.cmu.edu; zhenguonie@gmail.com

3. State Key Laboratory of Tribology,Institute of Manufacturing Engineering,Department of Mechanical Engineering,Tsinghua University,Beijing 100084, Chinae-mail: gwang@tsinghua.edu.cn

4. State Key Laboratory of Tribology,Institute of Manufacturing Engineering,Department of Mechanical Engineering,Tsinghua University,Beijing 100084, Chinae-mail: lpwang@tsinghua.edu.cn

5. Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen 518055, Chinae-mail: rongym@sustc.edu.cn

Abstract

Abstract In this research, we propose a coupled thermomechanical modeling method for predicting grinding residual stress based on randomly distributed grains. In order to deal with the problem that the nominal grinding force is too small to generate the plastic deformation, we hold the opinion that grinding residual stress is totally derived from three factors: thermal stress, the nominal grinding force (pressure) over the entire grinding zone, and the equivalent plowing force just under the bottom of the abrasive wheel. Finite element model (FEM) simulation of the single-grain grinding (SGG) is conducted to obtain the critical plowing depth and the SGG force at an arbitrary cutting depth. Based on the randomly distributed abrasive grains, the equivalent grinding heat source model, the equivalent SGG plowing force model, and the equivalent nominal pressure model are all established. A 2D coupled thermomechanical model is established to simulate the grinding process for temperature fields and grinding residual stress fields. In addition, verification tests are conducted to validate the model. It turns out that the coupled model can accurately predict the multiphysical fields on both temperature and residual stress. Based on the simulation results of the model, the generation mechanism of grinding residual stress is quantitatively studied. This research provides a promising pathway to residual stress control of grinding.

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

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