Matheus Cardoso, Rodrigo Lozan, G. Barbosa, David A. Guerra-Zubiaga, S. Shiki
{"title":"基于数字孪生技术的机器人钻井过程能耗评价","authors":"Matheus Cardoso, Rodrigo Lozan, G. Barbosa, David A. Guerra-Zubiaga, S. Shiki","doi":"10.1115/imece2022-95205","DOIUrl":null,"url":null,"abstract":"\n Faced with the advances in automation related to the digital transformation of the industry, new products are developed, and the fabrication processes are becoming smarter day by day. However, modern manufacturing systems look for electricity savings, especially in machining operations. In this sense, power consumption has a big deal for industry costs, and it needs to be monitored to provide a more competitive business. So, to minimize this problem, digital manufacturing based on simulation tools has been used to find economic ways to optimize the manufacturing processes, providing a reduction of recurring costs. Thus, this research proposes the use of Tecnomatix Siemens PS (Process Simulate) software for process simulation of 2024 aluminum drilling to explore the analysis of energy consumption (EC) in a machining operation using a robot. Also, this proposal looks for a digital twin conception, comprising its variables and features to make possible a case study assisted by the Design of Experiments (DOE) method.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Consumption Evaluation on Robotic Drilling Process Using Digital Twin Technology\",\"authors\":\"Matheus Cardoso, Rodrigo Lozan, G. Barbosa, David A. Guerra-Zubiaga, S. Shiki\",\"doi\":\"10.1115/imece2022-95205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Faced with the advances in automation related to the digital transformation of the industry, new products are developed, and the fabrication processes are becoming smarter day by day. However, modern manufacturing systems look for electricity savings, especially in machining operations. In this sense, power consumption has a big deal for industry costs, and it needs to be monitored to provide a more competitive business. So, to minimize this problem, digital manufacturing based on simulation tools has been used to find economic ways to optimize the manufacturing processes, providing a reduction of recurring costs. Thus, this research proposes the use of Tecnomatix Siemens PS (Process Simulate) software for process simulation of 2024 aluminum drilling to explore the analysis of energy consumption (EC) in a machining operation using a robot. Also, this proposal looks for a digital twin conception, comprising its variables and features to make possible a case study assisted by the Design of Experiments (DOE) method.\",\"PeriodicalId\":113474,\"journal\":{\"name\":\"Volume 2B: Advanced Manufacturing\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 2B: Advanced Manufacturing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/imece2022-95205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 2B: Advanced Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece2022-95205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Consumption Evaluation on Robotic Drilling Process Using Digital Twin Technology
Faced with the advances in automation related to the digital transformation of the industry, new products are developed, and the fabrication processes are becoming smarter day by day. However, modern manufacturing systems look for electricity savings, especially in machining operations. In this sense, power consumption has a big deal for industry costs, and it needs to be monitored to provide a more competitive business. So, to minimize this problem, digital manufacturing based on simulation tools has been used to find economic ways to optimize the manufacturing processes, providing a reduction of recurring costs. Thus, this research proposes the use of Tecnomatix Siemens PS (Process Simulate) software for process simulation of 2024 aluminum drilling to explore the analysis of energy consumption (EC) in a machining operation using a robot. Also, this proposal looks for a digital twin conception, comprising its variables and features to make possible a case study assisted by the Design of Experiments (DOE) method.