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Quality of Casting and Heat Treatment esses - an Information Transfer Approach

机译:铸造和热处理物质的质量 - 一种信息转移方法

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The present paper [0] presents a stochastic analysis - based on the principle of probability transfer and Markov modelling - aimed to clarify one of the most usual discarding/ scrapping causes in the case of an Al-HPDC (aluminium high pressure die casting) process: the material anisotropy. This anisotropy is especially reflected by the higher dispersion of the elongation compared to the yield strength. When submitted to a heat treatment a part shows acceptable values for the yield strength and not acceptable or only partial acceptable values for the elongation. The question to answer is if the Heat Treatment (HT) has been properly applied. The answer could be profane: if a specimen shows perfect values and 1 cm aside (under comparable geometrical conditions) the elongation is not acceptable although the yield strength is, then it has to be "something else".
机译:本文[0]提出了一种随机分析 - 基于概率转移和马尔可夫建模原理 - 旨在阐明AL-HPDC(铝高压压铸)工艺的情况下最常的丢弃/克切原因之一 :材料各向异性。 与屈服强度相比,这种各向异性特别地反映了伸长率的较高分散。 当提交到热处理时,部分显示屈服强度的可接受的值,而不是可接受的或仅是伸长率的部分可接受的值。 要回答的问题是,如果热处理(HT)已正确应用。 答案可能是亵渎的:如果样品显示完美的值和1厘米(在相当的几何条件下),虽然屈服强度是“屈服强度”,但它必须是“别的”。

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