鎂合金多重品質特性銲接參數最佳化之研究

THE OPTIMAL PARAMETERS DESIGN OF MULTIPLE QUALITY CHARACTERISTICS FOR THE WELDING OF MAGNESIUM ALLOY

張志平(Jhy-Ping Jhang) ； 胡庭睿(Ting-Jui Hu)

《品質學報》 25卷2期 (2018/04) Pp. 106-119

https://doi.org/10.6220/joq.201804_25(2).0003

摘要

鎂合金質輕高強度已被廣泛應用在各個領域，如汽車、航空、自行車、3C產品等；一般業界依靠銲接師傅的經驗造成銲接品質參差不齊與不易傳承，且未考慮多重品質特性。因此，本研究提出一套分析流程，來解決鎂合金銲接多重品質特性的問題，提高整體銲接強度。本研究採用AZ31B鎂合金，以田口方法規劃惰性氣體鎢極電弧銲接實驗，選擇以非破壞性檢驗（銲接厚度、銲道寬度和洛氏硬度）和破壞性檢驗（衝擊試驗、拉伸試驗）檢測銲接品質特性，經過文獻探討、要因分析與專家諮詢，決定銲接參數為銲接電流、銲接移行速度、鎢棒和板材間的距離、鎢棒凸出量、和氬氣流量，所量測數據經過S/N比(signal-to-noise ratio)分析、理想解類似度順序偏好法(technique for order preference by similarity to ideal solution, TOPSIS)分析、倒傳遞類神經網路模擬，結合基因演算法，找出鎂合金銲接最佳參數水準組合。結果顯示銲接電流、鎢棒和板材間的距離、氬氣流量為影響銲接品質特性最重要的三個參數。

關鍵字

田口方法 ； AZ31B鎂合金 ； 惰性氣體鎢極電弧銲 ； 倒傳遞類神經網絡 ； 基因演算法

並列摘要

Lightweight high-strength magnesium alloy has been widely applied in various fields, such as automobile, aviation, bicycle and electronic products. In general, the industry relies on the experience of welding operators, resulting in inconsistent quality and the difficulty of passing on knowledge, as well as the lack of consideration in multiple quality characteristics. Therefore, this study presents an analytical process to solve the problem with multiple quality characteristics in magnesium alloy, improving the overall welding strength. This study uses AZ31B magnesium alloy and adopts Taguchi Method to plan an experiment of gas tungsten arc welding. Non-destructive (frontal thickness of the welded part, bead width and Rockwell hardness) and destructive (impact and tensile) tests are chosen to examine the welding quality characteristics. Literature review, factor analysis and expert advice determine that the parameters are welding current, moving speed, the distance between tungsten rod and plate, protruding length of tungsten rod and the flow rate of argon gas. The measured data after signal-to-noise ratio, technique for order preference by similarity to ideal solution (TOPSIS), back-propagation neural network simulation and genetic algorithm determine the best parameter levels combination for the welding of magnesium alloy. The results show that the welding current, the distance between tungsten rod and plate, and the flow rate of argon gas are the three most important parameters affecting the quality characteristics.

並列關鍵字

Taguchi method ； AZ31B magnesium alloy ； tungsten inter gas arc welding ； back-propagation neural network ； genetic algorithm

參考文獻

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