An analytical model for predicting specific cutting energy in whirling milling process

JOURNAL OF CLEANER PRODUCTION

卷:240

Article

He, Yan¹  Wang, Lexiang¹  Wang, Yulin²  Li, Yufeng¹  Wang, Shilong¹  Wang, Yan³  Liu, Chao¹  Hao, Chuanpeng¹ 

[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400030, Peoples R China

[2] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Jiangsu, Peoples R China

[3] Univ Brighton, Dept Comp Math & Engn, Brighton BN2 4GJ, E Sussex, England

关键词: Whirling milling process;    Specific cutting energy;    Energy model;    Cutting parameters;    Material removal rate;   

DOI  :  10.1016/j.jclepro.2019.118181

来源: Elsevier

【 摘 要 】

The specific cutting energy (SCE) of machining processes is a significant indicator for machining sustainability. However, the characteristics of SCE in whirling milling as a promising green process are unknown because of the special material removal mechanism of this process. This paper presents an analytical model for predicting SCE based on the material removal mechanism of whirling milling. The cutting parameters affecting the SCE characteristics are identified considering the un-deformed chip formation. An analytical model is developed as functions of the identified cutting parameters by calculating material removal volume and cutting forces. To validate the proposed model, the analytical model was applied in ball screw shaft whirling milling. The results indicate that the analytical model can be effectively used to predict the SCE with over 90% accuracy. In addition, the effects of cutting parameters and material removal rate (MRR) on SCE were investigated and analyzed based on the proposed model, which can provide valuable information and guidance for the optimal selection of cutting parameters to minimize SCE and improve MRR. (C) 2019 Elsevier Ltd. All rights reserved.

【 授权许可】

Free