Article: A combined model with optimal solution for prediction of grinding temperature Journal: International Journal of Materials and Product Technology (IJMPT) 2014 Vol.49 No.4 pp.203 - 223 Abstract: The purpose of this study is to experimentally verify whether it is appropriate just substituting energy partition values from one model into other temperature model to calculate the grinding temperature. Two energy partition models (Guo's ε model and Jin's ε model) and three temperature rise models (Guo's T model, Jin's T model and Li's T model) are used for combinations to determine the optimal solution of grinding temperature. The effects of the combined models are explored for three kinds of workpiece materials (Ti-6Al-4V, AISI5140 and SiC) by dry and wet grinding. It has been found that the combinations of Li's T model and either Guo's or Jin's ε model can obtain the optimal solutions, of which the combination of Jin's ε model and either its corresponding T model or Li's T model is more suitable for dry grinding, and the combination of Guo's ε model and Li's T model can be largely used for calculating temperature in wet grinding. The theoretical results also indicate that the grinding temperature is sensitive to the deviation of the thermal properties of composite solid. Inderscience Publishers - linking academia, business and industry through research

Title: A combined model with optimal solution for prediction of grinding temperature

Authors: Dahu Zhu; Beizhi Li; Han Ding

Addresses: Hubei Key Laboratory of Advanced Technology of Automotive Parts, School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China ' College of Mechanical Engineering, Donghua University, Shanghai 201620, China ' State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

Abstract: The purpose of this study is to experimentally verify whether it is appropriate just substituting energy partition values from one model into other temperature model to calculate the grinding temperature. Two energy partition models (Guo's ε model and Jin's ε model) and three temperature rise models (Guo's T model, Jin's T model and Li's T model) are used for combinations to determine the optimal solution of grinding temperature. The effects of the combined models are explored for three kinds of workpiece materials (Ti-6Al-4V, AISI5140 and SiC) by dry and wet grinding. It has been found that the combinations of Li's T model and either Guo's or Jin's ε model can obtain the optimal solutions, of which the combination of Jin's ε model and either its corresponding T model or Li's T model is more suitable for dry grinding, and the combination of Guo's ε model and Li's T model can be largely used for calculating temperature in wet grinding. The theoretical results also indicate that the grinding temperature is sensitive to the deviation of the thermal properties of composite solid.

Keywords: cylindrical grinding; grinding temperature; energy partition; combined models; heat flux; quadratic curve; thermal properties; thermocouple; relative error; deviation; temperature prediction; temperature modelling.

DOI: 10.1504/IJMPT.2014.064931

International Journal of Materials and Product Technology, 2014 Vol.49 No.4, pp.203 - 223

Accepted: 10 Mar 2014
Published online: 30 Sep 2014 *

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Title: A combined model with optimal solution for prediction of grinding temperature

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