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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/86829


    Title: 運用田口方法分析ABS塑膠材料之射出成型參數對拉伸強度的影響;Using the Taguchi method to analyze the influence of injection molding parameters of ABS plastic material on tensile strength
    Authors: 劉威志;Liu, Wei-Chih
    Contributors: 機械工程學系在職專班
    Keywords: 田口方法;直交表;訊噪比;拉伸強度;迴歸分析;Taguchi method;Orthogonal array;Signal-to-noise ratio;Tensile strength;Regression analysis
    Date: 2021-08-06
    Issue Date: 2021-12-07 13:17:53 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本研究目的為應用田口方法找到射出成型參數最佳的組合以獲得望大特性的拉伸強度,射出成型的材料為奇美公司的ABS PA756,拉伸強度試片尺寸遵照ASTM D638,實驗選定13個射出成型的可控制因子分別建立三個水準,並以Minitab軟體建立實驗的直交表,使用萬能材料試驗機進行拉伸試片試驗,將搜集的實驗數據進行訊噪比分析,從實驗結果得知各控制因子對拉伸強度的影響順序及參數最佳的組合,藉由效果分析反應值訊噪比,得知熔膠溫度的影響度最顯著,並利用迴歸分析得知本實驗之熔膠溫度與拉伸強度關係成反比趨勢,同時每組條件進行五次重複性試驗並統計每一組數據標準差的離散程度,依據田口分析結果顯示最佳射出成型參數組合為「A1B3C1D2E1F3G2H3J1K3L3M2N1」,透過田口方法可以有效地找到射出成型最佳參數組合及穩健的產品品質。


    ;The purpose of this study is to apply Taguchi method to find the optimal combination of injection molding parameters to obtain the tensile strength with larger the best characteristics. The material was ABS PA756 produced by Chi Mei Corporation. The dimension of the tensile test specimen was complied with the ASTM D638 standard. The three levels for 13 control factors were selected to establish the injection molding experiment. Additionally, the orthogonal array of experiment was created by Minitab software. The tensile specimens were tested by the universal material testing machine. The experimental data was analyzed its S/N ratio. From the experimental results, the influence of each control factor on tensile strength and the optimal combination of parameters were achieved. According to the effective analysis of the S/N ratio response, it is known that the melt temperature was the most significant parameter. The results of regression analysis showed the negative correlation between melt temperature and tensile strength in this study. Five repeated tensile tests were performed for each set of conditions and the dispersion of the standard deviation of each set of data is calculated. According to Taguchi analysis results showed that the optimal combination of injection molding parameters was 「A1B3C1D2E1F3G2H3J1K3 L3M2N1」.The results indicated that the Taguchi method can effectively find out the optimal combination of injection molding parameters for robust product quality.
    Appears in Collections:[Executive Master of Mechanical Engineering] Electronic Thesis & Dissertation

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