A decision-making approach for sustainablemachining processes using data clustering and multi-objective optimization

HIGHLIGHTS

• who: Hussien Hegab and collaborators from the Department of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain, United Arab Emirates have published the Article: A Decision-Making Approach for SustainableMachining Processes Using Data Clustering and Multi-Objective Optimization, in the Journal: Sustainability 2022, 16886 of /2022/
• what: The aim of this study was to compare the effects of using graphite and molybdenum disulphide (MoS2 ), two different solid lubricants, on sustainable machining performance. This means that that either cluster 2 can represent desired choice where surface quality of either cluster 1 . . .
  

   

  

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