Comparative Multi-criteria-Decision Making Approach for the Optimization of Abrasive Water Jet Machining Process Parameters Using MABAC

Non-traditional machining (NTM) techniques have become pivotal in addressing various manufacturing challenges, ranging from handling high-strength materials to achieving precise surface finishes and minimizing production times. The NTM techniques like electro-discharge machining (EDM), abrasive water jet machining (AWJM), any many more plays vital roles in obtaining desired workpiece dimensions and smoothness. AWJM, is a versatile method used for cutting both soft and hard materials. It offers precision with minimal distortion and no heat-affected zones, making it ideal for complex designs and precise cuts. The environmental benefits of water jet cutting, such as minimal waste and no harmful byproducts, contribute to its popularity in the machining industry. multi criteria decision making (MCDM) plays a critical role in optimizing machining processes, allowing for continuous improvement and adaptation to evolving industry demands. Optimization of various machining parameters to get a desired response is a challenging task for the researchers. Recent studies showcase how (MCDM) techniques optimizes the machining parameters for specific materials like carbon nanotube-reinforced aluminum and fiber-reinforced composites, achieving improved properties and machining performance. In the current work three objective weight calculation techniques like equal weight (EW), standard deviation (STD) and entropy (ENT) were considered while calculating the rank using multi-attributive border approximation area comparison (MABAC). From the results it is observed that exp. no 14 is the first rank for both MABAC-EW and MABAC-ENT. However, exp. no 8 is rank one for MABAC-STD. Similarly, exp. no 1 is the last rank for all three methods. From the correlation analysis it is noticed that all the three methods have strong positive correlation between each other. Thus, it can also be concluded that MABAC technique is not weight sensitive and it is showing robust results for the present AWJM of aluminium metal matrix composites.