TY - JOUR
T1 - Resource savings by sustainability assessment and energy modelling methods in mechanical machining process
T2 - A critical review
AU - Sarıkaya, Murat
AU - Gupta, Munish Kumar
AU - Tomaz, Italo
AU - Krolczyk, Grzegorz M.
AU - Khanna, Navneet
AU - Karabulut, Şener
AU - Prakash, Chander
AU - Buddhi, Dharam
N1 - Funding Information:
The corresponding author acknowledges the Norway Grants 2014–2021 operated by National Science Centre under Project Contract No 2020/37/K/ST8/02795 for financial support. The authors also acknowledge the Polish National Agency for Academic Exchange No. PPN/ULM/2020/1/00121 and BPN/ULM/2021/1/00020 for funding.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10/1
Y1 - 2022/10/1
N2 - 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.
AB - 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.
KW - Energy consumption
KW - Environmental impact
KW - Life cycle assessment
KW - Machining
KW - Mathematical model
KW - Sustainability assessment
UR - http://www.scopus.com/inward/record.url?scp=85136325003&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2022.133403
DO - 10.1016/j.jclepro.2022.133403
M3 - Article
AN - SCOPUS:85136325003
SN - 0959-6526
VL - 370
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 133403
ER -
