Enhancing cutting tool sustainability based on remaining useful life prediction

JOURNAL OF CLEANER PRODUCTION

卷:244

Article

Sun, Huibin¹  Liu, Yang^2,3  Pan, Junlin¹  Zhang, Jiduo¹  Ji, Wei⁴ 

[1] Northwestern Polytech Univ, Minist Educ, Lab Contemporary Design & Integrated Mfg Technol, Xian, Shaanxi, Peoples R China

[2] Linkoping Univ, Dept Management & Engn, SE-58183 Linkoping, Sweden

[3] Univ Vaasa, Dept Prod, Vaasa 65200, Finland

[4] Sandvik Coromant, Dept Digital Machining, SE-12679 Hagersten, Sweden

关键词: Cutting tool sustainability enhancement;    Remaining useful life prediction;    Cutting tool utilization improvement;   

DOI  :  10.1016/j.jclepro.2019.118794

来源: Elsevier

【 摘 要 】

As a critical part of machining, cutting tools are of great importance to sustainability enhancement. Normally, they are underused, resulting in huge waste. However, the lack of reliable support leads to a high risk on improving the cutting tool utilization. Aiming at this problem, this paper proposes an approach to enhance the cutting tool sustainability. A non-linear cutting tool remaining useful life prediction model is developed based on tool wear historical data. Probability distribution function and cumulative distribution function are used to quantize the uncertainty of the prediction. Under a constant machining condition, a cutting tool life is extended according to its specific remaining useful life prediction, rather than a unified one. Under various machining conditions, machining parameters are optimized to improve efficiency or capability. Cutting tool sustainability is assessed in economic, environmental and social dimensions. Experimental study verifies that both material removal rate and material removal volume are improved. Carbon emission and cutting tool cost are also reduced. The balance between benefit and risk is achieved by assigning a reasonable confidence level. Cutting tool sustainability can be enhanced by improving cutting tool utilization at controllable risk. (C) 2019 Elsevier Ltd. All rights reserved.

【 授权许可】

Free