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Mixture experiments and their applications in welding flux design

机译:混合实验及其在焊剂设计中的应用

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The traditional welding flux development has been by cost, material, time and labour intensive experiments. The extensive and expensive trial and error experimentation is needed because it is often difficult to know a priori how the flux ingredients interact to determine the operational characteristics of the flux and the final performance of the welded structure. The limitation of the traditional approach includes: (1) long lead-time (2) expensive experiments in terms of materials and energy consumption and labour requirements (3) the flux developed can not be guaranteed to be optimal and (4) inability to identify and quantify direct and interaction effects of flux ingredients. These constraints are due to the paucity of statistical modelling tools in welding flux technology. Since prediction models are derived from designed experiments, flux researchers need other methods by which flux experiments may be designed. This paper discusses a statistical modelling tool known as mixture experiment which has the potential to revolutionize welding flux development technology. Mixture design is discussed but not fully developed. The procedure of mixture experiment, analytical model forms and the sequence of model fitting are discussed. Areas of welding flux research where the various mixture designs may be useful are suggested.
机译:传统的助焊剂的发展是通过成本,材料,时间和劳动强度的实验来实现的。需要进行广泛而昂贵的反复试验,因为通常很难先验地知道焊剂成分如何相互作用,以确定焊剂的操作特性和焊接结构的最终性能。传统方法的局限性包括:(1)交货时间长(2)就材料,能耗和人工要求而言昂贵的实验(3)不能保证所开发的焊剂是最佳的;(4)无法确定并量化助焊剂成分的直接作用和相互作用。这些限制是由于焊剂技术中缺乏统计建模工具所致。由于预测模型是从设计的实验中得出的,因此通量研究人员需要其他方法来设计通量实验。本文讨论了一种称为混合实验的统计建模工具,它有可能彻底改变焊剂开发技术。讨论了混合物设计,但尚未完全开发。讨论了混合实验的步骤,分析模型的形式以及模型拟合的顺序。建议在焊剂研究领域中可能需要使用各种混合物设计。

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