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Application of Taguchi-based Six Sigma method to reduce defects in green sand casting process: a case study

机译:基于Taguchi的6 Sigma方法减少生砂铸造过程中的缺陷的案例研究

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摘要

Six Sigma is a systematic method for process improvement. It relies on statistical and scientific methods to reduce the defect rates and achieve improved quality. A case study carried out for a green sand casting manufacturing company. Here, Six Sigma methodology is used for the part: bearing bracket 3809. Define-measure-analyse-improve-control (DMAIC) methodology along with Taguchi method is used to minimise the defects in the bearing bracket 3809. The major tools used in this work are the project charter, process map, statistical graph and cause-and-effect diagram. Use of design of experiment (DOE) and analysis of variance (ANOVA) techniques are combined to determine statistically the correlation of defects with the mould hardness, moisture content, green strength, permeability of sand, pouring rate and pouring temperature and also to find their optimum values needed to reduce/eliminate the defects. The experimental results were statistically analysed and modelled through Taguchi analysis. Based on the findings, the optimised process parameters are taken for experiment and better performance obtained in the production process was confirmed. The comparison between the existing and the proposed process has been attempted in this paper and the results have been discussed in detail.
机译:六个西格码是一种用于过程改进的系统方法。它依靠统计和科学方法来降低缺陷率并提高质量。为一家绿色砂型铸造制造公司进行了案例研究。在此,零件使用6 Sigma方法:轴承支架3809。使用定义测量分析改进控制(DMAIC)方法以及Taguchi方法将轴承支架3809中的缺陷最小化。工作包括项目章程,流程图,统计图和因果图。结合实验设计(DOE)和方差分析(ANOVA)技术来确定缺陷与模具硬度,水分含量,生坯强度,砂的渗透性,浇注速率和浇注温度之间的相关性,并找出它们的相关性。减少/消除缺陷所需的最佳值。对实验结果进行统计分析,并通过田口分析进行建模。基于这些发现,将优化的工艺参数用于实验,并确认了在生产过程中获得了更好的性能。本文尝试对现有流程与建议流程进行比较,并对结果进行了详细讨论。

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