{"title":"概述用于加工轻质材料的机器人辅助补偿方法的最新进展","authors":"","doi":"10.1016/j.rcim.2024.102844","DOIUrl":null,"url":null,"abstract":"<div><p>Advanced metalworking industries need high-performance materials to pursue the sustainable goal of reducing the consumption of hydrocarbons. The ability to work at elevated temperatures and resist environmental corrosion, among many other mechanical and physical properties, is also imperative for the operating conditions. Despite meeting this sector's physical and mechanical demands, some of these materials represent a strong challenge for their manufacturing. Most of those components are oversized, mainly in aeronautics, aerospace, and shipbuilding industries, and large machining centres must be used, which entails high investment costs. Since dimensional accuracy is paramount, and considering the usual characteristics of these alloys, robotics have been considered an economically viable way to carry out manufacturing. Challenges related to Tool-Wear (TW), Surface Roughness (SR), and dimensional accuracy are scrutinised alongside advancements in robot-assisted manufacturing technologies, striving to overcome these obstacles. The overarching objective of this consolidated overview delves into the critical intersection of robotic manufacturing technology, explicitly accentuating the up-to-date bid of compensation methods for robot-assisted manufacturing and high-performance materials for advanced metalworking industries. In the contemporary industrial milieu, robot-assisted manufacturing has emerged as a linchpin for technological progress and operational excellence worldwide. This paper will provide a comprehensive and concise summary tailored to beginners and seasoned practitioners. Moreover, it underscores the global importance of the topic by highlighting the invaluable contributions of experts in the field. In doing so, the paper elucidates the pivotal role played by these advancements in shaping the trajectory of modern manufacturing practices on a global scale.</p></div>","PeriodicalId":21452,"journal":{"name":"Robotics and Computer-integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":9.1000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0736584524001315/pdfft?md5=387e2a0ca364f16999c4831784f97fe5&pid=1-s2.0-S0736584524001315-main.pdf","citationCount":"0","resultStr":"{\"title\":\"An overview on the recent advances in robot-assisted compensation methods used in machining lightweight materials\",\"authors\":\"\",\"doi\":\"10.1016/j.rcim.2024.102844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Advanced metalworking industries need high-performance materials to pursue the sustainable goal of reducing the consumption of hydrocarbons. The ability to work at elevated temperatures and resist environmental corrosion, among many other mechanical and physical properties, is also imperative for the operating conditions. Despite meeting this sector's physical and mechanical demands, some of these materials represent a strong challenge for their manufacturing. Most of those components are oversized, mainly in aeronautics, aerospace, and shipbuilding industries, and large machining centres must be used, which entails high investment costs. Since dimensional accuracy is paramount, and considering the usual characteristics of these alloys, robotics have been considered an economically viable way to carry out manufacturing. Challenges related to Tool-Wear (TW), Surface Roughness (SR), and dimensional accuracy are scrutinised alongside advancements in robot-assisted manufacturing technologies, striving to overcome these obstacles. The overarching objective of this consolidated overview delves into the critical intersection of robotic manufacturing technology, explicitly accentuating the up-to-date bid of compensation methods for robot-assisted manufacturing and high-performance materials for advanced metalworking industries. In the contemporary industrial milieu, robot-assisted manufacturing has emerged as a linchpin for technological progress and operational excellence worldwide. This paper will provide a comprehensive and concise summary tailored to beginners and seasoned practitioners. Moreover, it underscores the global importance of the topic by highlighting the invaluable contributions of experts in the field. In doing so, the paper elucidates the pivotal role played by these advancements in shaping the trajectory of modern manufacturing practices on a global scale.</p></div>\",\"PeriodicalId\":21452,\"journal\":{\"name\":\"Robotics and Computer-integrated Manufacturing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2024-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0736584524001315/pdfft?md5=387e2a0ca364f16999c4831784f97fe5&pid=1-s2.0-S0736584524001315-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Robotics and Computer-integrated Manufacturing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0736584524001315\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Computer-integrated Manufacturing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736584524001315","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
An overview on the recent advances in robot-assisted compensation methods used in machining lightweight materials
Advanced metalworking industries need high-performance materials to pursue the sustainable goal of reducing the consumption of hydrocarbons. The ability to work at elevated temperatures and resist environmental corrosion, among many other mechanical and physical properties, is also imperative for the operating conditions. Despite meeting this sector's physical and mechanical demands, some of these materials represent a strong challenge for their manufacturing. Most of those components are oversized, mainly in aeronautics, aerospace, and shipbuilding industries, and large machining centres must be used, which entails high investment costs. Since dimensional accuracy is paramount, and considering the usual characteristics of these alloys, robotics have been considered an economically viable way to carry out manufacturing. Challenges related to Tool-Wear (TW), Surface Roughness (SR), and dimensional accuracy are scrutinised alongside advancements in robot-assisted manufacturing technologies, striving to overcome these obstacles. The overarching objective of this consolidated overview delves into the critical intersection of robotic manufacturing technology, explicitly accentuating the up-to-date bid of compensation methods for robot-assisted manufacturing and high-performance materials for advanced metalworking industries. In the contemporary industrial milieu, robot-assisted manufacturing has emerged as a linchpin for technological progress and operational excellence worldwide. This paper will provide a comprehensive and concise summary tailored to beginners and seasoned practitioners. Moreover, it underscores the global importance of the topic by highlighting the invaluable contributions of experts in the field. In doing so, the paper elucidates the pivotal role played by these advancements in shaping the trajectory of modern manufacturing practices on a global scale.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.