Research on procedure optimisation for composite grinding based on Digital Twin technology

Shen, Nanyan; Yang, Wu; Li, Jing; He, Tianqiang; Lu, Yushun; Xu, Yingjie

doi:10.1080/00207543.2022.2045378

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…It can ensure the stable quality of the machined surface in terms of precision, roughness and hardness when processing a batch of parts under different conditions, and improves the quality and reliability of the CNC machine tool control program. The working principle of the program optimization method proposed by Shen Nanyan [41] based on the mapping capability of the actual working conditions of the digital twin system is shown in Figure 7. The program optimization module of the application layer of the digital twin system obtains equipment data and workpiece data through the data layer and then generates model parameters according to the state data of the grinding wheel during the grinding process.…”

Section: The Mainshaft Bearing Grinding Technology Based On Digital Twinmentioning

confidence: 99%

Application of Life Cycle of Aeroengine Mainshaft Bearing Based on Digital Twin

Yan³

et al. 2023

Processes

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Aeroengine mainshaft bearings are key components in modern aeroengines, and their main functions are to support the rotation of the main shaft of the aeroengine in harsh environments, such as high temperature, heavy load, high speed and oil break; reduce the friction coefficient during the high-speed rotation of the main shaft; and reliably ensure the rotation accuracy and power transmission of the aeroengine’s main shaft during operation. The manufacture of aeroengine mainshaft bearings requires complex processes and precise machining to ensure high performance and reliability, and how to intelligently complete the production and manufacture of mainshaft bearings and ensure the strength and accuracy of the bearings, quickly distinguish the fault types of the bearings and efficiently calculate, analyze and predict the life of the bearings are the current research hotspots. Therefore, building a high-fidelity and computationally efficient digital twin life cycle of aeroengine mainshaft bearings is a valuable solution. This paper summarizes the key manufacturing technology, manufacturing mode and manufacturing process based on digital twins in the life cycle of aeroengine mainshaft bearings, including the metallurgical process, heat treatment process and grinding process of aeroengine mainshaft bearings. It presents a fault diagnosis and life analysis of mainshaft bearings of aeroengines, discussing the key technologies and research directions of the life cycle of mainshaft bearings based on digital twins.

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Section: The Mainshaft Bearing Grinding Technology Based On Digital Twinmentioning

confidence: 99%

Application of Life Cycle of Aeroengine Mainshaft Bearing Based on Digital Twin

Yan³

et al. 2023

Processes

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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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