Resource savings by sustainability assessment and energy modelling methods in mechanical machining process: A critical review

Sarikaya M., Gupta M. K. , Tomaz I., Krolczyk G. M. , Khanna N., Karabulut Ş., ...More

JOURNAL OF CLEANER PRODUCTION, vol.370, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 370
  • Publication Date: 2022
  • Doi Number: 10.1016/j.jclepro.2022.133403
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Business Source Elite, Business Source Premier, CAB Abstracts, Communication Abstracts, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Machining, Sustainability assessment, Life cycle assessment, Mathematical model, Environmental impact, Energy consumption, LIFE-CYCLE ASSESSMENT, MULTIOBJECTIVE OPTIMIZATION, INCONEL 718, PERFORMANCE ANALYSIS, EFFICIENCY, CONSUMPTION, ALLOYS, DRY, REQUIREMENTS, PARAMETERS
  • Hacettepe University Affiliated: Yes


In machining processes, there are contradictions between high efficiency and environmentally-friendly machining. This indicated that there is a major potential for sustainable machining to both increase efficiency and protect ecological balance. For this, the employment of effective methods has become imperative to reduce resource use. In this way, the use of analysis and optimization tools to select the tool material, cutting parameters, cooling/lubrication conditions, etc., will be a benefit for minimizing waste without sacrificing efficiency. In the literature, researchers have used various methods to reveal the requirements of sustainability. However, reaching the concept of sustainable machining by using one more than technique confuses the readers. Therefore, it was deemed necessary to present and discuss the current methods, models and analyzes in a comprehensive review paper. In this context, this paper reviewed the previously published works, especially focusing on sustainability and energy consumption modeling methods in machining operations. At the end of the study, it was seen that LCA provides a systematic and quantitative view of the system and thus can act as a decision support tool. Moreover, it can give an idea to the manufacturers about the improvement of the process and the areas of innovation. However, the method has several disadvantages such as relatively expensive and specific software, obtaining inventory data, impractical to use, time-consuming and requires large amounts of data. Various mathematical models and algorithms have been developed to deal with the complex situations and offer a more practical use compared to LCA. However, it is difficult to state that clear results have been achieved thanks to these models. It was seen that in complex machining processes, only approximate results can be found with models, which leads to questioning the reliability of the models.