Apply Regression Analysis for the Process Parameter Optimization on the Ball Milling Process of Multi-Layer Ceramic Capacitor
碩士 === 南台科技大學 === 工業管理研究所 === 101 === In recent years, the development of multilayer ceramic capacitors (Multilayer Ceramic Capacitor MLCC) is a very important type of ceramic capacitor. The MLCC has compact-sized and high-capacity characteristics. It is widely used in electronic components. Due to...
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| Format: | Others |
| Language: | zh-TW |
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| Online Access: | http://ndltd.ncl.edu.tw/handle/28391388839432666047 |
| Summary: | 碩士 === 南台科技大學 === 工業管理研究所 === 101 === In recent years, the development of multilayer ceramic capacitors (Multilayer Ceramic Capacitor MLCC) is a very important type of ceramic capacitor. The MLCC has compact-sized and high-capacity characteristics. It is widely used in electronic components. Due to the electronic products are emphasized on the trend of lightness, thinness and smallness in recent years and MLCC has the strength of developing small-sized and standard products, it becomes the main product of capacitor industry gradually.
This research applied regression analysis on the ball milling process of multi-layer ceramic capacitor (MLCC). We chose the highest nonconformity modes which are the diameter and the surface area of slurry liquid grains as the two product quality characteristics. The research was divided into two stages. The first stage used Pareto chart and cause-and-effect diagram to find out the main factors which affect the product quality characteristics in ball milling process. The second stage applied main factors on data collection and regression analysis. Then optimization searching technique of desirability function was used to find out the optimal and robust parameter settings of ball milling process. After this research, we applied the optimal and robust parameters settings in ball milling process and improved the conforming rate of the MLCC of process.
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