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Yield improvement for lost mould rapid infiltration forming process by a multistage fractional factorial split plot design

机译:通过多级分数阶段拆分块设计产生丢失液体快速渗透成形过程的产量改进

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摘要

Statistical design of experiments is widely used among scientists and engineers to understand influential factors in a laboratory or manufacturing process. One of the underlying principles of using the statistical design of experiments method is randomisation, each run of experimental settings will be determined completely unsystematically. In practice, especially in a complicated process that consists of multiple stages, randomisation may pose too high a burden on time and cost. In this study, the multistage fraction factorial split plot design is proposed for green yield improvement in a lost mould rapid infiltration process that has been developed to fabricate zirconia ceramic parts. This design allows a relaxation of the randomisation principle so that certain experimental runs can be carried out in convenient groups. The results indicate that the type of immersion chemical and mould coating play a role in improving process yield. Additionally, the results suggest that a mould infiltration machine should be used to improve the reproducibility of the process.
机译:实验的统计设计被广泛应用于科学家和工程师,以了解实验室或制造过程中的影响因素。使用实验方法的统计设计的潜在原则之一是随机化,每次实验设置将完全无系统地确定。在实践中,特别是在一个由多个阶段组成的复杂过程中,随机化可能会在时间和成本上造成太高的负担。在该研究中,提出了多级馏分阶乘分裂绘图设计,用于在已经开发出用于制造氧化锆陶瓷部件的丢失的模具快速渗透过程中的绿色产量改善。这种设计允许放松随机化原理,以便在方便的群体中进行某些实验运行。结果表明,浸入化学和模具涂层的类型在提高过程产率方面发挥作用。此外,结果表明,应使用模具渗透机来提高该过程的再现性。

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