Parametric Optimization of Micro Drilling Using Machine Vision Technique Combined with Taguchi Method

Yu Teng Liang; Yih Chih Chiou

doi:10.4028/www.scientific.net/AMR.468-471.2487

Paper Titles

Zircon Geochronology of Granodiorite Porphyry in Yaojialing Mine, Anhui Province, and its Geological Implications
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Study on Image Retrieval Method Based on Color and Location
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Synthesis and Inhibition Performance of Two Imidazoline Corrosion Inhibitors with Different Hydrophilic Groups
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The Integrated Testing System for Performance Parameters of the Hydraulic Excavator
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Parametric Optimization of Micro Drilling Using Machine Vision Technique Combined with Taguchi Method
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The Finite Element Analysis of CLAC Beam
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Semi-Physical Simulation Experiment System of Fuel Control System for an Aeroengine
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Research on the Sports Development in China's Ethnic Minority Region
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Outlier Detection for Soft-Sensor Modeling Data Based on k-Nearest Neighbor
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Parametric Optimization of Micro Drilling Using...

Parametric Optimization of Micro Drilling Using Machine Vision Technique Combined with Taguchi Method

Abstract:

The objective of this study is to optimize the micro drilling of PMMA (Polymethyl methacrylate) polymer with multiple performance characteristics. In Taguchi method, a three level orthogonal array has been used to determine the S/N ratio. Analysis of variance was used to determine the most significant process parameters affecting the holes roughness. Coated deposition, spindle speed and feed rate are optimized drilling parameters when the performance characteristics, which include tool life and surface roughness, are taken into consideration. The results indicated that the TiAlN-coating drills generate least wear and best holes quality. Finally, confirmation experiments were conducted to confirm the validity of the results.