TOPSIS-Based Multi-Criteria Optimization of WAAM Parameters for Automotive Component Fabrication

Wire Arc Additive Manufacturing (WAAM) can make huge, complicated metal parts quickly and cheaply, making it popular in the automobile sector. This study uses TOPSIS, a multi-criteria decision-making method, to improve WAAM process parameters such wire feed rate, travel speed, and current. Automotive applications need surface roughness, deposition rate, and dimensional precision, which WAAM-fabricated components must meet. TOPSIS normalizes and ranks experimental findings to find parameter combinations that perform best across many quality metrics. The results show that integrated optimization improves component quality and consistency, making WAAM a feasible and economical sustainable vehicle manufacturing option.