Energy-Based Novel Quantifiable Sustainability Value Assessment Method for Machining Processes

Energies

Muhammad Jamil¹  DanilYurievich Pimenov²  Mozammel Mia³  Saqib Hasnain⁴  Abdullah Alfaify⁵  Saqib Anwar⁵  AqibMashood Khan⁶  MunishKumar Gupta⁶ 

[1] College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia;Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK;Depertment of Mechatronics Engineering, University of Engineering and Technology Taxila, Taxila 47050, Pakistan;Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia;Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Shandong 250061, China;

关键词: sustainability;    Overall Process Assessment Indicator (OPAI);    sustainable machining;    energy consumption;    environmental impact;    machining costs;   

DOI  :  10.3390/en13226144

来源: DOAJ

【 摘 要 】

Sustainability assessments of cooling/lubrication-assisted advanced machining processes has been demanded by environment control agencies because it is an effective management tool for improving process sustainability. To achieve an effective and efficient sustainability evolution of machining processes, there is a need to develop a new method that can incorporate qualitative indicators to create a quantifiable value. In the present research work, a novel quantifiable sustainability value assessment method was proposed to provide performance quantification of the existing sustainability assessment methods. The proposed method consists of three steps: establishing sustainable guidelines and identifying new indicators, data acquisition, and developing an algorithm, which creates the Overall Performance Assessment Indicator (OPAI) from the sustainability assessment method. In the proposed algorithm, initially, both quantitative and qualitative sustainability indicators are normalized. After weight assignment and aggregation, the OPAI is obtained. The developed algorithm was validated from three literature case studies, and optimal cutting parameters were obtained. The present methodology provides effective guidelines for a machinist to enhance process performance and achieve process optimization. The study also offers a relationship between sustainable and machining metrics for the support of industrial sustainability.

【 授权许可】

Unknown