CAE分析應用於織布機綜絲之品質改善研究

綜絲又稱為綜片(heddle)，是織布機在織出不同花紋時的重要零件，其原為不銹鋼的金屬零件；近來為了降低成本與減輕重量而改為使用塑膠材料。以塑膠射出成型的綜絲零件必需具備一定的結構強度與韌性，才能在織布過程中不會發生斷裂。本研究利用Moldex3D R10 的CAE分析軟體，對綜絲模型進行電腦試模分析。首先應用田口方法(Taguchi Method)的L8(27)直交表進行干擾實驗，接著再以L18(21×37)直交表進行主實驗(main experiments)。藉由因子反應分析(response analysis)，探討各控制因子對於近澆口處之充填剪切應力(shear stress)的影響，利用變異分析(analysis of variation, ANOVA)確認各控制因子在一定的信心水準(confidence level)下具有顯著影響的重要因子，並找出改善剪切應力的最佳化製程參數。實驗結果顯示，影響近澆口處充填剪切應力的重要因子分別為塑料溫度、澆口角度與充填時間。較高的塑料溫度與較大的澆口角度都能有效的降低近澆口處的充填剪切應力。藉由確認實驗進行比較與利用信心區間的公式計算，驗證模擬分析的實驗值與預測值之95％誤差都在容許範圍內，顯示本研究的田口實驗具有足夠的精確度。

關鍵字

綜絲；田口方法；主實驗；剪切應力；變異分析；信心水準

並列摘要

Heddle, made by stainless steel, is an important part of loom to weave clothes. Recently, heddle was changed to plastic material to decrease its cost and weight. Injection molding heddle must have enough structural strength and toughness to avoid fracture in weaving process. In the study, Moldex3D R10 CAE software was used to analyze the heddle model. At first, applied Taguchi Method with L8(2^7) orthogonal array to proceed noise experiments. Then applied orthogonal array of L18(2^1×3^7) in the main experiments. Using response analysis investigates the control factors that affect the shear stress near the gate. Analysis of variation (ANOVA) also was used to confirm the significant factors under constant confidence level and try to find the optimal processing parameter for improving shear stress. Results show the significant factors of filling shear stress nearby gate are the melt temperature, gate angle, and filling time. The higher melt temperature and the larger gate angle can reduce the filling shear stress. Analysis results also show that the filling shear stress can be improved significantly under the optimal processing parameter. By using the confirm experiments and confidence intervals calculation, the experimental values and predict values are all in the range of 95％ error. These results indicate that Taguchi experiment of this study is accurate sufficiently.

並列關鍵字

heddle ； Taguchi Method ； main experiments ； shear stress ； analysis of variation (ANOVA) ； confidence level

參考文獻

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[4] X. Chen, Y. C. Lam, and D. Q. Li, “Analysis of thermal residual stress in plastic

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CAE分析應用於織布機綜絲之品質改善研究

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