Summary: | 碩士 === 國立高雄應用科技大學 === 模具工程系 === 97 === This thesis is a study of ways to perfect the top cover mold of a mouse. The current production cooling time is 28 seconds. Our goal is to improve the current molding parameters to reduce this cycle time. There are two objectives: The first, control deformed range on 0.2mm. The second is to find the parameters of the shortest cooling time possible.
Using the Moldflow Software in combination with the Tanguchi Method Experiment Design, this research determined the best combination of the molding parameters with the best speed and in the most economically viable way. This analysis used mold temperature, melting temperature, injection time and pressure point as the control variables and combined the Taguchi L9 table to analyze the results. Besides, use single factor analysis for a best parameter, then to measure deformed range after actual injection. The final step was to measure the exact degree of form change, comparing the path of the wave flows of the simulation analysis and the short-shoot injection. In doing so, we were able to determine the best parameter combination.
The results of this analysis showed a 90% similarity. The deformation range and cooling time of the best parameters are as below: a melting temperature of 220℃, a pressure point of 90Mpa, an injection time of 3 seconds and the cavity temperature of 50℃.
Final conclusions of the best combinations of the parameters are as follows: A melting temperature of 220℃, a pressure point of 90Mpa, an injection time of 3 seconds and a cavity temperature of 50℃.
In summary, by using the new molding parameters, conclusions are as follows:
The original cooling time of 28 seconds was reduced to a timeframe of 25.72 seconds for a total reduction of 2.28 seconds in the cooling time.
The new degree of form change is 0.2017mm.
Final results showed that by improving the molding parameters, the degree of form change can be steadily controlled and the cycle time can be efficiently reduced. These modifications will greatly help to enhance production efficiency and to stabilize control quality.
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