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Computation-assisted analyzing and forecasting on impurities removal behavior during zone refining of antimony

机译:锑区炼素中杂质去除行为的计算辅助分析及预测

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High purity antimony (Sb) gains nowadays a rising interest for high-tech applications. Zone refining is commonly used as a reliable final purification step to achieve higher purity levels of Sb. However, the removal of arsenic (As) - the most troublesome impurity in Sb often occurring in quite high amounts - stays as the challenge during zone refining, due to its very unfavorable distribution coefficient. In addition, there are two important factors, essential to predict the zone refining efficiency and the required time (required number of passes and heater movement velocity), which are still seldom explored. These factors are first the effective distribution coefficient (keff) and second the ratio of the diffusion layer thickness to the diffusion constant of each impurity (δ/D). Therefore, in the present work, these two research-demanding aspects have been investigated. Firstly, the possibility of removing vaporized As through introducing an inert carrying gas flux was studied by testing two different initial concentrations of As (670 and 430 ppm) and undergoing different process parameters. Higher initial concentrations of As showed to be slightly (10 %) reduced when the melting time increases. Lower As concentration, however, remains almost stable. On the other hand, using the so-called Spim-model, zone refining of Sb was conducted under 1 L/min Nitrogen gas flux at different heater moving velocities (2, 1 and 0.5mm/min) to calculate the keffof impurities, derived by fitting the experimental impurity distribution with the simulated profiles. Finally and with the known values of keff, the values of δ/D for each impurity could be then retrieved by applying the BPS model. That not only allows predicting kefffor any moving velocity based on Spim-model, but also provides an alternative way to calculate these two values when one of them was obtained from other technologies.
机译:现在,高纯度锑(SB)获得高科技应用的兴趣兴趣。区域炼油通常用作可靠的最终纯化步骤,以实现更高的Sb纯度水平。然而,除砷(AS) - SB中最麻烦的杂质通常在相当高的情况下发生 - 由于其非常不利的分配系数,因此在区域精炼期间保持挑战。此外,还有两个重要因素,必须预测区域精炼效率和所需时间(所需的通行证和加热器运动速度),这仍然很少探索。这些因素首先是有效的分配系数(Keff)和第二次杂质(Δ/ d)的扩散层厚度与扩散常数的比率。因此,在本作工作中,已经调查了这两个研究要求。首先,通过测试AS(670和430ppm)的两种不同的初始浓度并进行不同的工艺参数,研究了通过引入惰性携带气体通量而蒸发的可能性。当熔化时间增加时,如表现为略微(10%)的初始浓度降低。然而,浓度降低,仍然仍然稳定。另一方面,使用所谓的SPIM模型,在不同的加热器移动速度(2,1和0.5mm / min)下在1升/分钟的氮气通量下进行SB的区域精炼,以计算衍生的杂质通过用模拟型材拟合实验杂质分布。最后以及与Keff的已知值,可以通过应用BPS模型来检索每个杂质的Δ/ D的值。这不仅允许基于Spim-Model预测任何移动速度的基于移动速度,而且还提供了当从其他技术中获得其中一个时计算这两个值的替代方法。

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