| 引用本文: | 刘海华,马晨祥,王天琪,刘文吉,岳建锋,薛龙.基于响应面预测模型的焊缝余高打磨自适应补偿策略[J].材料科学与工艺,2025,33(3):47-56.DOI:10.11951/j.issn.1005-0299.20230258. |
| LIU Haihua,MA Chenxiang,WANG Tianqi,LIU Wenji,YUE Jianfeng,XUE Long.Adaptive compensation strategy for weld height grinding based on response surface prediction modeling[J].Materials Science and Technology,2025,33(3):47-56.DOI:10.11951/j.issn.1005-0299.20230258. |
|
| 摘要: |
| 油气管道环焊缝自动化打磨因生产效率高、一致性好、安全可靠等优势成为打磨作业的重要发展方向。以控制打磨后焊缝余高为目的,使用Box-Behnken方法设计并进行实验,建立了材料去除面积和法向磨削力的预测模型,分析了磨具转速、磨削速度、下压深度对材料去除面积和法向磨削力的影响规律,提出了基于材料去除面积的焊缝磨削分层策略和工艺规划方法,建立了数学模型并设计了简单可视化的程序。结果表明:下压深度对材料去除面积的影响最大、磨具转速的影响最小,下压深度和磨具转速对法向磨削力的影响较大、对磨削速度的影响最小,并得出了最优工艺参数。建立的预测模型与实验吻合较好,最大误差分别为3.9％和6.8％。对提出的余高打磨策略进行验证,打磨后的焊缝余高与预期值误差最大为0.32 mm。 |
| 关键词: 焊缝余高打磨 响应面预测模型 材料去除面积 分层策略 自适应补偿策略 |
| DOI：10.11951/j.issn.1005-0299.20230258 |
| 分类号:TH16 |
| 文献标识码:A |
| 基金项目:天津市“项目+团队”重点培养专项资助(XC202053). |
|
| Adaptive compensation strategy for weld height grinding based on response surface prediction modeling |
|
LIU Haihua1, MA Chenxiang1, WANG Tianqi1,LIU Wenji1,YUE Jianfeng1,XUE Long2
|
|
(1.Tianjin Key Laboratory of Advanced Mechatronics Equipment Technology, Tiangong University, Tianjin 300387, China; 2.School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China)
|
| Abstract: |
| Automated grinding of circumferential welds in oil and gas pipelines has become an important development direction due to its advantages of high productivity, good consistency and safety. With the purpose of controlling the residual height of the weld seam after grinding,Box-Behnken method was used to design experiments to establish the prediction model of material removal area and normal grinding force. The impact of rotational speed of abrasive tool, grinding speed, and downfeed depth on material removal area and normal grinding force was analyzed. A weld seam grinding stratification strategy and processing planning method were proposed. Moreover, a mathematical model was built and a simple visualization program was designed. The results show that the downfeed depth has the greatest influence on the material removal area, while the impact of grinding wheel speed is minimal. The downfeed depth and grinding wheel speed have a significant effect on the normal grinding force, while the influence of polishing speed is minimal.The optimal process parameters are derived.In addition, the established prediction model agrees well with the test results, with maximum error of 3.9% and 6.8% for material removal area and normal grinding force, respectively.The proposed residual grinding strategy is validated, and maximum deviation between the residual grinding height of weld seams and the expected value is maximum 0.32 mm. |
| Key words: weld residual height grinding response surface prediction model material removal area layered policies adaptive compensation strategy |
