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首页> 外文期刊>International journal of productivity and quality management >Application of Taguchi and RSM techniques for optimising the parameters of pressure die casting process
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Application of Taguchi and RSM techniques for optimising the parameters of pressure die casting process

机译：Taguchi和RSM技术在优化压铸工艺参数中的应用

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摘要

Most of the automotive and allied components in today's world are produced by metal casting processes. However, the casting process industries suffer from poor quality of castings due to involvement of large number of process parameters. The primary intent of this paper is to enhance the quality of aluminium die casting products using optimisation techniques such as Taguchi and response surface methodology. In this study, some of the factors that have reasonable influence on blow holes defect are identified. Each factor is considered with three levels and Taguchi technique is employed. Analysis of variance table is generated to determine the statistical significance of the parameters. Response graphs are plotted to determine the preferred level for each parameter. By using the Minitab soft tool, response surface methodology is carried out. The regression model, surface and contour plots are developed to identify the most contributing process parameter. Among the selected process parameters, the degassing frequency is noted as greatest influencing factor up to 47% on response, next influencing factor as metal temperature with 45% contribution on response. The highest level of metal temperature and lowest level of degassing frequency are found as optimum level to decrease the blowhole defect.
机译：当今世界上大多数汽车及相关部件都是通过金属铸造工艺生产的。但是，由于涉及大量的工艺参数，铸造工艺工业遭受铸件质量差的困扰。本文的主要目的是使用诸如Taguchi和响应面方法之类的优化技术来提高铝压铸产品的质量。在这项研究中，确定了对气孔缺陷有合理影响的一些因素。将每个因素分为三个级别，并使用田口技术。生成方差分析表以确定参数的统计显着性。绘制响应图以确定每个参数的首选水平。通过使用Minitab软工具，可以执行响应面方法。开发了回归模型，表面和轮廓图以识别最有帮助的过程参数。在选定的工艺参数中，除气频率是响应时的最大影响因素，最高可达47％，其次是金属温度，对响应的影响为45％。发现金属温度的最高水平和脱气频率的最低水平是减少气孔缺陷的最佳水平。

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