{"title":"缺陷铸件电弧增材再制造路径规划","authors":"Chenxu Duan, Pan Zhang","doi":"10.1109/AIAM54119.2021.00056","DOIUrl":null,"url":null,"abstract":"According to the characteristics of weld lap and weld layer accumulation in remanufacturing process, the path planning algorithm is studied, and a compound scanning algorithm is proposed to meet the requirements of complete filling and smooth surface in remanufacturing area. The remanufacturing path planning tool is developed by UG secondary development platform, and the path planning result is obtained by importing point cloud data. The robot welding workstation is used to experiment the planning results, and the original shape of the defective mold is basically restored after the experiment, which verifies the correctness of the planning results.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Path Planning of Arc Additive Remanufacturing for Defective Castings\",\"authors\":\"Chenxu Duan, Pan Zhang\",\"doi\":\"10.1109/AIAM54119.2021.00056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the characteristics of weld lap and weld layer accumulation in remanufacturing process, the path planning algorithm is studied, and a compound scanning algorithm is proposed to meet the requirements of complete filling and smooth surface in remanufacturing area. The remanufacturing path planning tool is developed by UG secondary development platform, and the path planning result is obtained by importing point cloud data. The robot welding workstation is used to experiment the planning results, and the original shape of the defective mold is basically restored after the experiment, which verifies the correctness of the planning results.\",\"PeriodicalId\":227320,\"journal\":{\"name\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIAM54119.2021.00056\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIAM54119.2021.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Path Planning of Arc Additive Remanufacturing for Defective Castings
According to the characteristics of weld lap and weld layer accumulation in remanufacturing process, the path planning algorithm is studied, and a compound scanning algorithm is proposed to meet the requirements of complete filling and smooth surface in remanufacturing area. The remanufacturing path planning tool is developed by UG secondary development platform, and the path planning result is obtained by importing point cloud data. The robot welding workstation is used to experiment the planning results, and the original shape of the defective mold is basically restored after the experiment, which verifies the correctness of the planning results.