研究目的
To optimize the machining performance of Rotary ultrasonically machined quartz glass using Taguchi-Grey relational analysis for simultaneous optimization of material removal rate and surface roughness.
研究成果
The study successfully optimized RUM parameters for quartz glass, identifying tool feed rate as the most critical parameter. The optimal settings improved MRR and SR, with material removal primarily in brittle mode and abrasion. Microstructural analysis confirmed the mechanisms of material removal.
研究不足
The study focuses on quartz glass and may not be directly applicable to other materials without further research. The optimization is based on specific parameters and may require adjustment for different machining conditions.
1:Experimental Design and Method Selection:
The study employed Taguchi-Grey relational analysis for optimizing RUM parameters.
2:Sample Selection and Data Sources:
Quartz glass samples were used, with physical properties specified by the manufacturer.
3:List of Experimental Equipment and Materials:
A rotary ultrasonic machine (Knee-mill Series 10, Sonic-Mill), metal bonded diamond reinforced hollow tool, and coolant (Blasocut BC 20 SW) were used.
4:Experimental Procedures and Operational Workflow:
Experiments were conducted using Taguchi L9 orthogonal array, with each parameter setting repeated three times. MRR and SR were measured as performance characteristics.
5:Data Analysis Methods:
S/N ratios were calculated, data normalized, and Grey relational coefficients and grades computed for optimization.
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