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

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Robotics and Computer-integrated Manufacturing Pub Date : 2024-08-05 DOI:10.1016/j.rcim.2024.102844
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引用次数: 0

摘要

先进的金属加工行业需要高性能的材料,以实现减少碳氢化合物消耗的可持续发展目标。除其他机械和物理特性外,在高温下工作和抗环境腐蚀的能力也是工作条件所必需的。尽管满足了这一领域的物理和机械要求,但其中一些材料的制造仍面临巨大挑战。主要在航空、航天和造船工业中,这些部件大多尺寸过大,必须使用大型加工中心,这就需要高昂的投资成本。由于尺寸精度至关重要,同时考虑到这些合金的通常特性,机器人技术被认为是一种经济可行的制造方法。在研究与工具磨损 (TW)、表面粗糙度 (SR) 和尺寸精度有关的挑战的同时,还探讨了机器人辅助制造技术的进步,以努力克服这些障碍。本综述的总体目标是深入探讨机器人制造技术的关键交叉点,明确强调机器人辅助制造和先进金属加工行业高性能材料的最新补偿方法。在当代工业环境中,机器人辅助制造已成为全球技术进步和卓越运营的关键。本文将为初学者和经验丰富的从业人员提供全面而简明的总结。此外,本文还强调了该领域专家的宝贵贡献,从而突出了该主题的全球重要性。在此过程中,本文将阐明这些进步在塑造全球现代制造实践轨迹方面所发挥的关键作用。
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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.

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来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
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.
期刊最新文献
A point cloud registration algorithm considering multi-allowance constraints for robotic milling of complex parts Sigmoid angle-arc curves: Enhancing robot time-optimal path parameterization for high-order smooth motion A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing A robotized framework for real-time detection and in-situ repair of manufacturing defects in CFRP patch placement Finite-time SMC-based admittance controller design of macro-micro robotic system for complex surface polishing operations
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