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Application of Six Sigma DMAIC methodology in welding assembly Quality Improvement

机译:六西格玛DMAIC方法在焊接大会质量改进中的应用

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During the welding assembly process of automotive exhaust system, several welding defects will occur if the process parameters are incorrect, which affects the quality of products seriously. Six Sigma quality management is an advanced methodology for reducing the manufacturing costs, shortening the production cycle, and improving the product quality significantly. In this paper, the Six Sigma DMAIC method is applied to control the welding assembly process of automobile exhaust system. It is observed that the biting edge and stomata are the two main weld defects accounting about 85% of the total number of defects. In order to reduce the number of biting edge, causal diagram is used for analyzing the factors influencing the welding process. After the experiment, it is convinced that the process parameters of welding torch angle, welding speed and argon flow are the key factors affecting the biting edge significantly. Then, the optimum process parameters are determined by means of the DOE method, and the control chart is adopted to monitor the effect of process improvement. The results show that defects per million opportunities (DPMO) of biting edge could be controlled less than 1500 which is better than the target number of 5000. It is also proved that the Six Sigma DMAIC methodology is efficiently. Therefore, the stomata defects are reduced in the same way, the level of product quality is raised from 3.55σ to 4.52σ, and the competitiveness of the enterprise would be enhanced greatly.
机译:在汽车排气系统的焊接组装过程中,如果工艺参数不正确,将发生几种焊接缺陷,这会严重影响产品质量。六西格玛质量管理是一种先进的方法,用于降低制造成本,缩短生产周期,并显着提高产品质量。本文应用了六种Sigma DMAIC方法来控制汽车排气系统的焊接组装过程。观察到尖锐的边缘和气孔是两个主要焊缝缺陷占缺陷总数的85%。为了减少尖端的数量,因果图用于分析影响焊接过程的因素。实验结束后,相信焊炬角度,焊接速度和氩气流的过程参数是显着影响尖锐边缘的关键因素。然后,通过DOE方法确定最佳过程参数,采用控制图来监测过程改进的效果。结果表明,尖锐边缘的百万机会(DPMO)的缺陷可以控制小于1500,这比目标数量优于5000。还证明六西格玛DMAIC方法有效。因此,以相同的方式减少了气孔缺陷,产品质量水平从3.55σ提高到4.52σ,企业的竞争力将得到大大提高。

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