Applying Taguchi Grey Relation Analysis on Biological Freezer with Multiply-Object Optimal Design

• Main Authors: Yi-Shan Chen, 陳怡珊
• Other Authors: Shyh-Chour Huang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/95071289052545104889

碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 101 === The objective of this study is to investigate the design of blocking temperature structure of biological freezer. In the study, ANSYS ICEM CFD software was used to create unstructured grids, and ANSYS FLUENT software was applied to analyze the performance of blocking temperature structure. Taguchi method combined with robust design method and gray relational analysis was used to optimal the design parameters such as the dimensions of blocking temperature structure, the height of the refrigerant tube, and the number of refrigerant tube lap. The analysis of variance was employed to find out the most significant factor influencing the product quality. The results show that the best combination of parameters are A1B1C1D1E1, that is the dimension of blocking temperature structure with length of 500mm, width of 390mm, and height of 340mm, the height of refrigerant tube with 90mm, and the number of refrigerant tube lap with 3. These parameters combinations can indeed help company save cost and development time.