articleScientific ReportsJan 9, 2026GOLD OA

Development of a novel integrated RSM-Fuzzy MCDA framework for high-speed machinability assessment of WAAM-Fabricated aluminium

SPS. P. Sundar Singh SivamSKStalin KesavanAJA. Johnson Santhosh

SRM Institute of Science and Technology · AMET University · +1 more institution

PubMed
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Abstract

This study aims to optimize the high-speed machining process of WAAM-fabricated aluminum, focusing on enhancing machinability indicators while aligning with sustainable manufacturing practices. A novel hybrid optimization framework combining Response Surface Methodology (RSM), Fuzzy Logarithmic Methodology of Additive Weights (LMAW), and Fuzzy WASPAS was developed to optimize parameters such as surface finish, material removal rate, cutting force, and power consumption. The optimization model identified optimal machining parameters (8000 RPM cutting speed, 0.1 mm/tooth feed rate, 1 mm depth of cut, and a four-flute tool), achieving a surface roughness (Ra) of 0.35 microns, material removal rate (MRR) of 38.4…

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Topics & keywords

Topics
Keywords
  • Machinability
  • Machining
  • Fuzzy logic
  • Surface roughness
  • Multiple-criteria decision analysis
  • Tool wear
  • Process (computing)
  • Response surface methodology
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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