A thermal energy balance optimization model of cutting space enabling environmentally benign dry hobbing

JOURNAL OF CLEANER PRODUCTION

卷:172

Article

Yang, Xiao¹  Cao, Huajun¹  Li, Benjie¹  Jafar, Salman¹  Zhu, Libin¹ 

[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China

关键词: Optimization model;    Thermal energy balance;    Dry hobbing;    Cutting space;   

DOI  :  10.1016/j.jclepro.2017.11.179

来源: Elsevier

【 摘 要 】

Dry hobbing is a well-known environmentally benign process for gears production by eliminating serious pollution and occupational health hazards in the shop floor. However, due to the absence of the cooling and lubrication of cutting oil, it requires quite accurate monitoring and adjustment of the accumulation of thermal energy within the cutting space to reduce the thermal deformation of machine tool. In this paper, an analytical method is proposed to reveal the mechanism of thermal energy accumulation in dry hobbing. And further, a thermal energy balance optimization model is developed to minimize the average temperature of cutting space by optimizing the heat-carrying efficiency of chips, the temperature of compressed air, and the mass flow rate of air filter. The comprehensive learning particle swarm optimization (CLPSO) based solution method is designed to search the optimal solutions of the proposed model. To verify the performance of the proposed thermal energy balance problem, a case study has been conducted and the experimental results showed that the maximum difference of the average temperature of cutting space reduced by 16.3%, and the M-value of hobbed gears was effectively controlled, which demonstrated the effectiveness of the proposed approach. (C) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

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