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首页> 外文期刊>Proceedings of the institution of mechanical engineers >Optimization of A-GTAW welding parameters for naval steel (DMR 249A) by design of experiments approach
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Optimization of A-GTAW welding parameters for naval steel (DMR 249A) by design of experiments approach

机译：通过设计实验方法优化海军钢（DMR 249A）的A-GTAW焊接参数

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摘要

DMR249A steel is indigenously developed high strength low alloy (HSLA) steel. The steel is being used for construction of Indian Aircraft Carrier and other new ships under construction at various ship yards in India. In order to enhance the depth of penetration (DOP) achievable in a single pass for gas tungsten arc welding (GTAW) process, activated fluxes were developed for the steel. The process is called activated flux gas tungsten arc welding (A-GTAW). Design of experiments (DOE) approach was employed using response surface methodology (RSM) and Taguchi technique to optimize the welding parameters for achieving maximum DOP in a single pass. Design matrix was generated using DOE techniques and bead on plate experiments were carried out to generate data for influence of welding process variables on DOP. The input variables considered were current, torch speed, and arc gap. The DOP was considered as response variable. The equations correlating DOP with the process parameters were developed for both the optimization techniques. The identified optimum process parameters were validated by carrying out bead on plate experiments. The RMS error of the predicted and measured DOP values for the validation experiments of the RSM (D-optimal) and Taguchi optimization technique was found to be 0.575 and 0.860, respectively. Thus, RSM (D-optimal) was observed to predict optimized welding process parameters for achieving maximum DOP with better accuracy during A-GTAW process.
机译：DMR249A钢是本地开发的高强度低合金（HSLA）钢。该钢用于印度的航空母舰和印度各个造船厂正在建造的其他新船的建造。为了提高单次通过气体钨极电弧焊（GTAW）工艺可达到的熔深（DOP），已为钢开发了活性焊剂。该过程称为活性焊剂气体钨极电弧焊（A-GTAW）。通过响应表面方法（RSM）和田口技术采用实验设计（DOE）方法来优化焊接参数，以单次获得最大DOP。使用DOE技术生成设计矩阵，并在平板上进行焊道实验，以生成有关焊接工艺变量对DOP影响的数据。考虑的输入变量是电流，割炬速度和电弧间隙。 DOP被视为响应变量。针对这两种优化技术，都开发了将DOP与过程参数相关联的方程式。确定的最佳工艺参数通过在平板实验上进行微珠验证。发现RSM（D最优）和Taguchi优化技术的验证实验的DOP预测值和测量值的RMS误差分别为0.575和0.860。因此，观察到RSM（最佳D）可预测优化的焊接工艺参数，以便在A-GTAW工艺中以更高的精度实现最大DOP。

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