| Summary: | 碩士 === 元智大學 === 機械工程學系 === 102 === In this thesis, it aims at searching out the control factors and optimal parameters which affect the transformative degree (Warpage degree) of a plastic battery case most during injection molding process. By applying Moldflow software to build the model and Taguchi experimental method to build the experimental module, it utilizes each sets of parameters to proceed the simulation process in a built model. During this process, it generates further data of transformative degree derived from each sets of experiments, which are gathered and used for statistics analysis.
After analyzing research data, it shows that the temperature of melt adhesive, time of injection and holding pressure are the most crucial control factors of transformative degree for plastic battery cases, and its optimal parameters. And based on which to set standard operating parameters and narrow down researching scopes, hence to obtain a third module. For going a step further, utilizing these data to analyze statistics and simulate the process again. Eventually, having the optimized figure regarded as the best parameter, which turns out to be 84℃ for temperature of mold, 260℃ for temperature of melt adhesive , 0.95 seconds for time of injection, 0.725 seconds for time of holding pressure, 91MAP for degree of holding pressure, 15 seconds for time of opening mold respectively.
In conclusion, to calculate the transformative degree by Taguchi experimental method, the result is 0.23971mm; to utilize half of criterions for calculation, it turns to be 0.24781mm; to apply the practical optimal parameter from simulation to calculate, the result of transformative degree is 0.265mm; however, the average figure of transformative degree generated by real products after production is 0.272mm. To compare all mentioned figures, it is concluded that the optimal figure from simulation and practical figures from production are very similar. To list these vital factors in a database and to mark them as decisive simulated conditions and parameters, which could help designers to do self-examination at developmental stage in the future. Furthermore, it could shorten developing time and reduce design cost as well; as a result, enhance products’ quality and production speed, to reach high level competitiveness.
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