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Sensitivity analysis of process parameters in PTA hardfacing of valve seats using response surface methodology

机译:响应面法对气门座PTA堆焊表面工艺参数的敏感性分析

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摘要

The quality of a weld joint is strongly influenced by process parameters used during the welding. In order to have high quality welds, mathematical models that can predict the weld bead geometry and shape relationships have to be developed to accomplish the desired mechanical properties of the welding. This paper focuses on the development of mathematical models using response surface methodology (RSM) for the selection of process parameters and the prediction of bead geometry (penetration, reinforcement, dilution, bead width and total area) in automatic PTA (plasma transferred arc) hardfacing. RSM facilitates the optimisation of process parameters. Five factors were incorporated into the regression model: arc current, welding speed, powder feed rate, oscillation frequency and torch standoff. A sensitivity analysis has been conducted to compare the relative impact of five process parameters on bead geometry in order to verify the measurement errors on the values of the uncertainty in estimated parameters. The results obtained show that developed mathematical models can be applied to estimate the effectiveness of the process parameters for a given bead geometry, and a change of process parameters affects the penetration, dilution and bead width more strongly than reinforcement.
机译:焊接接头的质量受焊接过程中使用的工艺参数的强烈影响。为了获得高质量的焊接,必须开发可以预测焊缝几何形状和形状关系的数学模型,以实现所需的焊接机械性能。本文着重研究使用响应面方法(RSM)进行数学模型的开发,以选择工艺参数并预测自动PTA(等离子弧转移)堆焊中的焊道几何形状(渗透,补强,稀释,焊道宽度和总面积) 。 RSM有助于优化过程参数。五个因素被纳入回归模型:电弧电流,焊接速度,送粉速度,振荡频率和焊枪间距。为了验证测量误差对估计参数不确定性值的影响,已经进行了敏感性分析,以比较五个工艺参数对磁珠几何形状的相对影响。获得的结果表明,已开发的数学模型可以用于估计给定珠粒几何形状的工艺参数的有效性,并且工艺参数的变化对穿透,稀释和珠粒宽度的影响比增强影响更大。

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