Optimization of process parameter for green die sinking electrical discharge machining: a novel hybrid decision-making approach.

ABSTRACT: Electrical discharge machining (EDM) generates toxic emissions and hazardous waste, posing significant health risks for operators and environmental concerns. Aligning with the UN Sustainable Development Goals (SDGs) for Good Health & Well-being (SDG 3) and Responsible Consumption & Production (SDG 12), it is crucial to optimize EDM to reduce its environmental impact. This study introduces a Decision Support System (DSS) that uses a new approach to prospect theory based on exponential-logarithmic single-valued neutrosophic sets (± Log-SVNS) to find the best EDM parameters for "green" die-sinking EDM. Taguchi orthogonal array has been used to design the EDM experiments considering different levels of following process parameters: peak current, pulse duration, dielectric level, and flushing p

SUBMITTER: Jagadish 

PROVIDER: S-EPMC12008234 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature