Robotic Machining: A Review Of Recent Progress

Di: Henry

Even though there are continuous worldwide researches on robot machining ever since, the potential of robot applications in machining has yet to be realized.

[8]SEONG H K， EUNSEOK N， TAE I H， et al. Robotic Machining：a Review of Recent Progress[J]. International Journal of Precision Engineering & Manufacturing， 2019， 20：1629-1642. In this review, we comprehensively examine the carbon fiber-reinforced polymer (CFRP) trimming process, covering both conventional machining techniques and novel approaches. We explore various methods, including conventional cutting, laser beam machining, a diverse array of robot arm machining, electrical discharge machining, and ultrasonic machining; we assess Despite the progress, challenges persist, such as improving machining accuracy, optimizing machining trajectories, and integrating machine learning techniques. The review concludes by identifying gaps in the current research and suggests potential areas for future exploration to further enhance the capabilities of robotic end-effectors.

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The content will feature interdisciplinary perspectives, fostering a dialogue on the latest advancements in robotic machining. We are interested in contributions that focus on topics related to recent progress in robotic machining, such as: Superalloys are widely used in aerospace and energy fields by virtue of superior physical properties, especially in high-temperature environments. However, superalloys have poor machinability and are typical difficult-to-machine materials. Robotic belt grinding is an effective and popular method for finish machining superalloys, offering significant advantages such as

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. Some of the applications of AI, ML, and DL in advanced robotics In recent years, robots have been extensively applied in the establishment of intelligent manufacturing systems. Many robotized manufacturing equipment have been developed, some of which have gained

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Performance and challenges of planetary roller screw mechanism in complex conditions: A comprehensive review of recent progress In this paper, applications of machine learning and artificial intelligence systems in CNC machine tools is reviewed and future research works are also recommended to present an overview of current research on machine learning and artificial intelligence approaches in CNC machining processes. Motion errors in the trajectory of a six-joint industrial robotic arm’s end-effector can significantly impact machining precision. Complex milling operations ca

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Machine learning and artificial intelligence in CNC machine tools, A review
A review of recent advances in robotic belt grinding of superalloys
Hybrid Machining: A Review on Recent Progress

As the essential technology of human-robotics interactive wearable devices, the robotic knee prosthesis can provide above-knee amputations with functional knee compensations to realize their physical and psychological social regression. With the development of mechanical and mechatronic science and technology, the fully active knee prosthesis that can provide

Machine learning and artificial intelligence in CNC machine tools, A review

Industrial robot machining systems are used extensively in processing and manufacturing sectors including aerospace, large ships, rail transit, engineering machinery, semiconductor processing, medical equipment, and new energy vehicles. However, chatter during the machining process can considerably diminish the machining accuracy and surface quality. In recent years, the mobile machining robots have been increasingly applied in machining large components. 37, 38 The emergence of mobile machining methods has overcome the shortcomings of traditional machining equipment, expanded the workspace and improved efficiency, which made the entire production system more flexible. 39 – 41 The exploration of compensation methods for robot-assisted manufacturing, particularly in advanced metalworking industries, has had advancements in the last decade [7]. The significance of these advancements extends beyond theoretical frameworks, as the implementation of compensation methods proves instrumental in addressing challenges

Machining chatter has been studied by scholars over the past decades, since chatter has a significant impact on surface quality and productivity. Researchers have carried out extensive research on offline chatter prediction, online chatter detection, and chatter suppression. However, these studies have not been comprehensively reviewed. Especially machining systems with the Then, to comprehensively monitor the tool condition during machining, this review analyzes the research progress in the recent ten years of online monitoring of the chatter and the tool wear from the aspects of signals acquisition and feature extraction, feature selection, and online monitoring of the tool condition during machining.

Abstract: Aiming at the major demand for high efficiency and high quality machining of complex blades in national strategic fields such as aviation, aerospace, and energy, this paper reviews the recent advances in the robotic grinding technology using industrial robots as actuators. The use of industrial robots is widespread industrial robots is widespread in in diverse manufacturing fields. Hence, there have been attempts to use robot for machining processes instead of machine tools. However, limited machining accuracy has been a major obstacle hampering the adoption of robotic machining systems. Recently, substantial research has been carried out to address this

As the mode coupling chatter may occur in robotic machining and chatter suppression strategies of robotic milling are different from the regenerative chatter strategies, chatter suppression strategies are discussed at the end of the section. 7 Experimental Investigation of Dynamic Errors in Coordinate Measuring Machines for High Speed Measurement 7 Robotic Machining: A Review of Recent Progress 7 Numerical analysis for controlling residual stresses in welding design of dissimilar materials girth joints 7 Robotic Machining: A Review of Recent Progress. International Journal of Precision Engineering and Manufacturing, 20 (9), 1629–1642. doi:10.1007/s12541-019-00187-w

Being distinct from conventional material removal techniques, like CNC machining, robotic milling has the benefits of lower cost, higher flexibility, better adaptability, etc. Therefore, robotic milling has attracted a large amount of researchers’ interest and become an important material-removing way in the machining of complex tasks and environments parts. However, whether it is the multi-axis NC machining or the robotic machining, owing to the complex geometric properties and strict machining requirements, high-efficiency and high-accuracy machining of complex surfaces has always been a great challenge and remains a cutting-edge problem in the current manu-facturing field.

Recent progress in robotic machining has been summarized, such as kinematic calibration and compliance error compensation to improve the accuracy of roboticMachining. 1.3 Research motivation and objective Despite the enumerated limitations, ongoing advancements in robotics and artificial intelligence in recent years are gradually overcoming these challenges, paving the way for the evolution of more flexible and adaptable intelligent robotic machine-tending systems [15]. Industrial robots are characterized by good flexibility and a large working space, and offer a new approach for the machining of large and complex parts with small machining allowances (extra material allowed for subsequent machining). Parts of this type (such as aircraft skin parts, wind turbine blades, etc.) are easily deformed due to their large scale and low

Recent progress on programming methods for industrial robots

From the perspective of complex parts robotic milling, this paper focuses on machining process planning and control techniques including the analysis of the robot-workspace, robot trajectory planning, vibration monitoring and control, deformation monitoring and This paper provides a systematic review of the use of machine learning techniques in human–robot collaboration. A combination of keywords was chosen to produce a set of unbiased results (see Section 2). The role of robotics in precision machining and manufacturing has undergone significant evolution over time, as technological advancements have empowered robots to execute a diverse array of tasks with remarkable accuracy and uniformity. This comprehensive review provides an overview of the historical progression of robotics in the specified field,

Request PDF | Intelligent machining: a review of trends, achievements and current progress | Manufacturing industries are constantly pressured by market demands to produce low-cost, high-quality

Mobile robot machining provides more flexible machining mode compared to the robot machining with a fixed base. However, its machining accuracy is frequently questioned. This paper focuses on the accuracy analysis in mobile robot machining.

This review has critically synthesized recent advancements and challenges in industrial robotics, illuminating automation, artificial intelligence, human–robot collaboration, and sensor integration as transformative drivers reshaping modern industries. Robotic grinding is considered as an alternative towards the efficient and intelligent machining of complex components by virtue of its flexibility, intelligence and cost efficiency, particularly in comparison with the current mainstream manufacturing modes. The advances in robotic grinding during the past one to two decades present two extremes: one aims to solve [11] KIM S H, NAM E, HA T I, et al. Robotic machining:A review of recent progress [J]. International Journal of Precision Engineering and Manufacturing, 2019, 20 (9):1629-1642.

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