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Demerit control chart as a decision support tool in quality control of ductile cast-iron casting process

机译:Demerit控制图作为延性铸铁铸造工艺质量控制中的决策支持工具

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In many industrial areas the product quality can be unequivocally assigned to classes such as: “good”, “bad” or “to repair”. In case of casting processes, the product is approved to sales considering customer’s requirements. Except for common characteristics, such as structure, compactness and mechanical properties, physical state of the product is also important. This state is assessed by checking occurrence of specific kind of defects. They are often conditionally accepted by a customer if they do not have any influence on functionality of the product (e.g. negative adhesive and cohesive phenomena, fatigue strength, thermal shocks). Authors’ experience shows that current registering of the most frequently occurring defects and comparing them to customers’ requirements can be very useful and help a quality engineer to control the casting process. They suggest using the Demerit Control Chart (DCC), according to authors’ own methodology, in aspect of information about the castings accepted conditionally by a customer (DCC-recognition). DCC-recognition can be used to assess this quality by monitoring the value of just one aggregated measure for all kinds of defects instead of using a single attribute control chart for each of them. The test version of this tool considering severity of defects proved to be useful in one of the European foundries.
机译:在许多工业领域,产品质量可以毫不含糊地分配给课程,例如:“好”,“坏”或“修复”。在铸造过程的情况下,考虑到客户要求,产品被批准销售。除了常见特性外,如结构,紧凑性和机械性能,产品的物理状态也很重要。通过检查特定类型的缺陷的发生来评估这种状态。如果它们对产品的功能没有任何影响,它们通常是有条件地接受的(例如,负粘合剂和粘性强度,疲劳强度,热冲击)。作者的经验表明,目前的注册最常见的缺陷并将其与客户的要求进行比较可能是非常有用的,并帮助优质工程师控制铸造过程。他们建议使用Demerit控制图(DCC)根据作者自己的方法,在关于客户(DCC-识别)的条件接受的铸件的信息方面。 DCC-识别可用于通过监视所有类型的缺陷的一个聚合度量的值来评估此质量,而不是为每个缺陷使用单个属性控制图表。考虑到缺陷严重程度的该工具的测试版本证明在其中一个欧洲代工厂中有用。

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