叶宇杰,陈昌荣,王乾廷,等.基于加权主成分分析的GMAW短路过渡工艺多目标优化[J].精密成形工程,2025,17(1):193-204.
YE Yujie,CHEN Changrong,WANG Qianting,et al.Multi-objective Optimization of GMAW Short-circuit Transfer Process Based on Weighted Principal Component Analysis[J].Journal of Netshape Forming Engineering,2025,17(1):193-204. |
| 基于加权主成分分析的GMAW短路过渡工艺多目标优化 |
| Multi-objective Optimization of GMAW Short-circuit Transfer Process Based on Weighted Principal Component Analysis |
| 投稿时间：2024-04-28 |
| DOI：10.3969/j.issn.1674-6457.2025.01.021 |
| 中文关键词: 熔化极气体保护焊(GMAW) 田口法 短路过渡 主成分分析 多目标优化 |
| 英文关键词: gas metal arc welding (GMAW) Taguchi method short-circuit transfer principal component analysis multi-objective optimization |
| 基金项目:福建省高校创新团队发展计划(KY010202);福建省科技厅对外合作产业化项目(2022I1011);福建省科技厅创新资金项目(2023C0060);福州市科技重大项目(2021ZD214);福州市科技重大项目(2021-Z-5) |
|
| 摘要点击次数: 48 |
| 全文下载次数: 12 |
| 中文摘要: |
| 目的 探究熔化极气体保护焊(GMAW)工艺参数对焊接接头成形质量的影响规律，以提高Q235钢短路过渡焊接成形质量。方法 采用正交试验与主成分分析(Principal Component Analysis，PCA)相结合的方法，研究了短路过渡焊接工艺参数对成形件宽高比、稀释率、驼峰数量以及硬度梯度的影响规律，并进行了工艺参数的优化。通过计算主成分的加权综合评价值，并以宽高比最大、稀释率最小、驼峰数量最少和硬度梯度最低为优化目标，对焊道进行多目标优化。结果 第一主成分和第二主成分提取的响应值的信息为原始数据信息的89.428%，通过对加权主成分综合评价值的信噪比进行方差分析，确定了最优工艺参数组合，最优工艺参数如下:焊接电流为120 A、焊接电压为22 V、焊接速度为60 cm/min、行进角度为60°，通过试验对得到的最佳焊接条件进行了验证，发现预测结果与试验结果具有良好的一致性。结论 采用加权主成分分析的方法可以在保留绝大部分原始数据的情况下，有效地对GMAW短路过渡工艺进行优化，研究结果为熔化极气体保护焊(GMAW)短路过渡工艺优化提供了一定的理论依据。 |
| 英文摘要: |
| The work aims to delve into the influence of gas metal arc welding (GMAW) process parameters on the forming quality of welded joints, so as to enhance the forming quality of Q235 steel during short-circuit transfer welding. To achieve this, orthogonal experiments and principal component analysis (PCA) were combined to examine the effects of short-circuit transfer welding process parameters on the aspect ratio, dilution rate, number of humps, and hardness gradient of the welded components. Subsequently, the process parameters were optimized. A multi-objective optimization approach was implemented for the weld bead with the maximum aspect ratio, minimum dilution rate, minimum number of humps, and minimum hardness gradient as optimization targets. This was achieved by calculating the weighted comprehensive evaluation values of the principal components. Notably, the response values derived from the first and second principal components accounted for 89.428% of the original data's information. Further, a variance analysis was conducted on the signal-to-noise ratio of the weighted principal component comprehensive evaluation values, leading to the determination of the optimal combination of process parameters:welding current of 120 A, welding voltage of 22 V, welding speed of 60 cm/min, and travel angle of 60°. These optimized welding conditions were then validated through experimental means, revealing a good consistency between the predictions and experimental results. The methodology employing weighted principal component analysis effectively optimizes the short-circuit transition process of GMAW while retaining a significant portion of the original data's characteristic information. Ultimately, the research findings contribute to the theoretical basis for optimizing the short-circuit transfer process in GMAW. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
渝公网安备 50010702501719号