Optimization of Cutting Parameters for Improving Surface Roughness during Hard Milling of AISI H13 Steel

• DOI: 10.4028/www.scientific.net/kem.831.35
• Publication Date: 2020-02-17T10:51:21Z
• Authors: The Vinh Do; Quoc Manh Nguyen; Minh Tan Pham
• Keywords: Design of experiments

In metal cutting, surface roughness plays an important role in assessing the quality of processed products. The depends greatly on selection machining parameters such as cooling conditions and cutting parameters. For this purpose, including dry, MQL, Silica-based nanofluid MQL well speed, depth-of-cut feed-rate were investigated to determine their influence during hard milling AISI H13 steel. DOE method developed by G. Taguchi was used design experiments. An analysis signal-to-noise response ANOVA carried obtain optimal values for minimizing roughness. results present study show that minimum feed-rate, depth-of-cut, maximum speed is condition reducing