| 机器人焊接增材再制造熔覆层成形影响因素分析 |
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| 引用本文： | 机器人焊接增材再制造熔覆层成形影响因素分析. 机器人焊接增材再制造熔覆层成形影响因素分析[J]. 山东科学, 2010, 33(4): 46-52. DOI: 10.3976/j.issn.1002-4026.2020.04.007 |
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| 作者姓名： | 机器人焊接增材再制造熔覆层成形影响因素分析 |
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| 作者单位： | 1. 济南大学 机械工程学院，山东 济南 250022；2. 齐鲁工业大学（山东省科学院） 山东省科学院激光研究所，山东 济南 250103；3. 中国石油集团测井有限公司生产测井中心，陕西 西安 710077; |
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| 基金项目： | 2019年度山东省重点研发计划(重大科技创新工程)（2019JZZY010452）；济南市高校院所创新团队项目（2019GXRC029） |
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| 摘 要： | 针对机器人焊接增材再制造过程，以Q235B为增材再制造基体材料，以DHQ49-1(H08Mn2SiA)为熔覆材料，通过正交试验的方法研究了焊接工艺参数对再制造熔覆成形平整度的影响规律，获得了最优的焊接工艺参数。研究结果表明，焊道偏移量对表面平整度的影响最为显著。采用实验获得的最优参数焊接熔覆的高度误差小于0.3 mm，宽度误差小于0.8 mm。该研究对机器人焊接增材再制造技术的成形精度控制及工艺优化提供了数据基础，具有一定的理论价值和现实意义。
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| 关 键 词： | 机器人焊接 增材制造 再制造 正交试验 |
| 收稿时间： | 2020-01-11 |
Analysis of the influence factors of the deposition layer evennessfor additive remanufacting based on robot welding |
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| YIN Zi-qiang,CHENG Wei,WANG Ning,HE Chang-ping. Analysis of the influence factors of the deposition layer evennessfor additive remanufacting based on robot welding[J]. Shandong Science, 2010, 33(4): 46-52. DOI: 10.3976/j.issn.1002-4026.2020.04.007 |
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| Authors: | YIN Zi-qiang CHENG Wei WANG Ning HE Chang-ping |
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| Affiliation: | 1. School of mechanical Engineering， University of Jinan，Jinan 250022，China；2. Laser Institute, Qilu University of Technology（Shandong Academy of Sicences），Jinan 250103，China；3.Production Logging Center，Chinese Petroleum Logging Co., Ltd., Xi’an 710077, China; |
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| Abstract: | In this study, Q235B is used as the additive remanufacture substrate and DHQ49-1 (H08Mn2SiA) is used as the cladding material. The influence of welding process parameters on the evenness of the cladding layer is investigated through the orthogonal experiment to study the influence of welding process parameters on the flatness of remanufacturing cladding forming, obtaining the optimal welding process parameters. Results indicate that the weld bead offset has the most significant influence on the layer evenness. Using the optimal parameters obtained herein, the height and width errors of the welding cladding are less than 0.3 mm and 0.8 mm, respectively. This study provides a data basis for the deposition accuracy control and process optimization of robot welding additive remanufacturing and has certain theoretical value and practical significance. |
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| Keywords: | robot welding additive manufacturing remanufacturing orthogonal experiment |
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