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

Nie, Zhenguo1,2; Wang, Gang1; Wang, Liping1; Rong, Yiming Kevin3

2019-08

10.1115/1.4043799

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME   影响因子和分区

1087-1357

1528-8935

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.

coupled thermomechanical model temperature fields grinding residual stress abrasive grains single-grain grinding

SCI ; EI

英语

其他

National Natural Science Foundation of China[U1537202] ; National Natural Science Foundation of China[51575305]

Engineering

Engineering, Manufacturing ; Engineering, Mechanical

WOS:000474218700005

ASME

20192507073474

Abrasives ; Forecasting ; Residual stresses

Machining Operations:604.2 ; Abrasive Materials:606.1

ENGINEERING

Web of Science

1.Tsinghua Univ, Dept Mech Engn, Inst Mfg Engn, State Key Lab Tribol, Beijing 100084, Peoples R China
2.Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA
3.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Peoples R China

Nie, Zhenguo,Wang, Gang,Wang, Liping,et al. A Coupled Thermomechanical Modeling Method for Predicting Grinding Residual Stress Based on Randomly Distributed Abrasive Grains[J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME,2019,141(8).

Nie, Zhenguo,Wang, Gang,Wang, Liping,&Rong, Yiming Kevin.(2019).A Coupled Thermomechanical Modeling Method for Predicting Grinding Residual Stress Based on Randomly Distributed Abrasive Grains.JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME,141(8).

Nie, Zhenguo,et al."A Coupled Thermomechanical Modeling Method for Predicting Grinding Residual Stress Based on Randomly Distributed Abrasive Grains".JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME 141.8(2019).