Developing a Sustainability Assessment Model for Coolant Impacts on Surface Quality in Ball End Milling
DOI:
https://doi.org/10.15282/mekatronika.v7i1.11840Keywords:
Sustainable machining, Coolant performance, Surface roughness, Regression analysisAbstract
Cutting fluids play a critical role in machining operations, yet excessive or inefficient use poses environmental challenges and affects workers' health, highlighting the need for optimised and sustainable practices. This study addresses the challenge of balancing machining performance and sustainability by experimentally investigating ball end milling of AISI 1040 steel using uncoated HSS tools under dry, mist, 4% coolant, and 8% coolant conditions with constant cutting parameters. Machining performance was evaluated based on surface roughness, with mist coolant in down milling achieving the best results (average roughness of 0.462 μm), followed by mist coolant in up milling, 8% coolant, and 4% coolant in up milling. The research highlights the significant impact of coolant conditions on machining performance and surface quality while integrating sustainability principles. A regression-based model was developed to predict interactions between sustainability parameters and machining attributes, offering insights to optimise processes with environmental and societal considerations, thereby supporting sustainable manufacturing practices.
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