A Grinding Parameters Optimization of A Linear Sliding Block

• Main Authors: Sun,Wei-Yi, 孫偉益
• Other Authors: Liu, Chin-Chia
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/83018130173059497093

碩士 === 國立彰化師範大學 === 工業教育與技術學系 === 104 === Precision grinding is one of the most important precision machining process, but in the professional grinding conditions whether there are improving the overall efficiency of the grinding still discussed. This paper aims to study precision grinding machines of milling parameters optimization research and analysis. Sliding block polishing characteristics by analyzing various experimental parameters, and the simulation of optimal parameter values. This paper will explore the spindle speed, X-axis movement speed and grinding depth of three processing parameters, the surface roughness of the linear slide block and the grinding efficiency. Grinding experiment using a Full-Factorial experiments design levels of control factors and sequential experiment, the experimental data fit the experimental model, take it as a target by the genetic algorithm to find the optimum grinding parameters. The resulting genetic algorithm parameters for authentication, using the best parameters to grinding, surface roughness and grinding efficiency obtained significantly improved. On the other hand, collected each factor grinding parameters characteristic of analysis. It will be as different products based on the design parameters of the grinding process in the future. Key words：Precision Grinding, Full-Factorial Experiments, Genetic Algorithm (GA)