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As-cast variations in mechanical testing of cast iron and its use to design tests for parameter studies

机译:铸铁机械测试中的铸态变化及其在参数研究的设计测试中的使用

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When making casting trials to improve properties of the cast iron products as a function of deliberately altered process parameters such as raw materials, additives or processes; output parameters such as microstructure data, thermal or mechanical properties need to be measured. Since variations in the intended casting process, sample preparation and test procedure will affect the results; these variations may overshadow the change due to the studied and altered parameter of interest. This work aims at investigating the variation in the mechanical test results of as cast test samples and uses these data to predict how many samples are needed to attain a specified confidence interval for a specific measured output property such as the ultimate tensile stress, yield stress, elongation and Brinell hardness. These data can be used to state with a specified confidence whether a change in a specific output parameter is significant or not and in fact depends on the altered input parameter. The investigation has been performed in both grey and ductile irons. The work shows that the confidence can be substantially improved by casting several samples in parallel and evaluate all of them. The work also discusses the important effect of microstructure formation during cooling and the effect of this on requirements on the geometry of the casting.
机译:在进行铸造试验以根据故意改变的工艺参数(例如原材料,添加剂或工艺)改善铸铁产品的性能时;需要测量输出参数,例如微观结构数据,热或机械性能。由于预期的铸造工艺,样品制备和测试程序会有所不同,因此会影响结果。这些变化可能会掩盖由于研究和更改的感兴趣参数而引起的变化。这项工作旨在调查铸造测试样品的机械测试结果的变化,并使用这些数据来预测需要多少个样品才能达到特定的测量输出特性(例如极限拉伸应力,屈服应力,伸长率和布氏硬度。这些数据可用于以指定的置信度说明特定输出参数的更改是否显着,实际上取决于更改后的输入参数。该调查已在灰铁和球墨铸铁中进行。这项工作表明,通过并行铸造多个样本并评估所有样本,可以大大提高置信度。这项工作还讨论了冷却过程中微结构形成的重要影响,以及这种影响对铸件几何形状的要求。

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