A digital twin-based machining motion simulation and visualization monitoring system for milling robot

Zhu, Zhaoju; Lin, Zhimao; Huang, Jianwei; Zheng, Liping; He, Bingwei

doi:10.1007/s00170-023-11827-x

Cited by 12 publications

(12 citation statements)

References 28 publications

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“…This technology was explored in depth when developing a simulation and monitoring system for milling machining on robots. In essence, a Digital Twin is a virtual and dynamic representation of a physical object or system, allowing for the simulation, analysis and optimization of processes in a controlled environment [10].…”

Section: Technical Training Enabled By Digital Twinsmentioning

confidence: 99%

“…By simulating axis movements, engineers and technicians have the ability to anticipate and identify potential faults, ine ciencies or areas that need adjustment. This predictability is invaluable, as it eliminates the risk associated with testing on real equipment, ensuring that no damage occurs or safety is compromised [10].…”

Section: Motion Simulation and Controlmentioning

confidence: 99%

“…out in real environments. This approach ensures that digital twin is not only replicating the physical asset, but also accurately predicting axle movements and behaviour [10].…”

Section: Motion Simulation and Controlmentioning

confidence: 99%

“…CNC Machine Preparation: The instructor, physically present at the ornamental stone company, prepares the CNC machine, selecting and installing the appropriate tools. Machine parameters are con gured according to the workpiece material and design speci cations [10], [12]. 7.…”

Section: Procedures For Remote Trainingmentioning

confidence: 99%

“…Remote Machining: The trainee starts the machining process remotely, supervised in real time by the instructor. Any anomaly is immediately communicated to the trainee, and machining can be paused if necessary [10]. .…”

Section: Procedures For Remote Trainingmentioning

confidence: 99%

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A Digital Twin-Based Manufacturing System for Advanced Technical Training

Vasco,

Cremonini,

Capela

et al. 2023

Preprint

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The fast evolution of Industry 4.0 technologies has led to a new era of manufacturing systems, with Digital Twins at the forefront. These virtual replicas offer invaluable opportunities for simulation and optimization for new manufacturing processes, since their most transformative impact may lie in the realm of Advanced Technical Training. This article dives into the integration of Digital Twins into manufacturing systems, with a particular focus on their role in training engineers and technicians for real-world challenges, especially in the stone sector dimension. Through the InovMINERAL 4.0 project, it is possible to demonstrate how Digital Twins serve not just as diagnostic tools but as robust educational platforms. It was introduced a comprehensive remote training algorithm that ensures effective, secure, and hands-on training experiences. The algorithm covers everything from secure VPN setup to real-time machining simulations, providing a holistic training approach that prepares trainees for the complexities of modern manufacturing. As the industry shifts to a more digitized landscape, the proper implementation of Digital Twins in technical training emerges as a critical factor for maintaining competitiveness and fostering innovation.

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Section: Technical Training Enabled By Digital Twinsmentioning

confidence: 99%

Section: Motion Simulation and Controlmentioning

confidence: 99%

“…out in real environments. This approach ensures that digital twin is not only replicating the physical asset, but also accurately predicting axle movements and behaviour [10].…”

Section: Motion Simulation and Controlmentioning

confidence: 99%

Section: Procedures For Remote Trainingmentioning

confidence: 99%

Section: Procedures For Remote Trainingmentioning

confidence: 99%

See 3 more Smart Citations

A Digital Twin-Based Manufacturing System for Advanced Technical Training

Vasco,

Cremonini,

Capela

et al. 2023

Preprint

View full text Add to dashboard Cite

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Research on digital twin monitoring system for hot stamping

Zhu,

Tang,

Ran

et al. 2024

Int J Adv Manuf Technol

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Subtractive manufacturing of composite materials with robotic manipulators: a comprehensive review

Le,

Tran,

Ding

2024

Int J Adv Manuf Technol

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Robotic manipulators play an innovative role as a new method for high-precision, large-scale manufacturing of composite components. However, machining composite materials with these systems presents unique challenges. Unlike traditional monolithic materials, composites exhibit complex behaviour and inconsistent results during machining. Additionally, robotic manipulator as a machine tool often associates with stiffness and vibration issues which adds another layer of complexity to this approach. By employing a comprehensive analysis and a combination of quantitative and qualitative review methodology, this review paper aims to survey diverse properties of composite materials by different categories and their interaction with machining processes. Subsequently, a survey of manufacturing techniques for composite machining following with a review in various modeling practices to capture material machining behaviour under a systematic framework is presented. Thereafter, the reviewed literature examines the errors inherent in robotic systems, alongside ongoing research efforts in modeling to characterise robot behaviour and enhance its performance. Afterward, the paper explores the application of data-driven modelling methods, with a primary focus on digital twins, in enabling real-time monitoring and process optimisation. Finally, this paper aims to identify the gap in this field and suggests the potential routes for future research and application as well as their challenges.

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A digital twin-based machining motion simulation and visualization monitoring system for milling robot

Cited by 12 publications

References 28 publications

A Digital Twin-Based Manufacturing System for Advanced Technical Training

A Digital Twin-Based Manufacturing System for Advanced Technical Training

Research on digital twin monitoring system for hot stamping

Subtractive manufacturing of composite materials with robotic manipulators: a comprehensive review

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