Digital twin-enabled machining process modeling

Liu, Jinfeng; Wen, Xiaojian; Zhou, Honggen; Sheng, Sushan; Zhao, Peng; Liu, Xiaojun; Kang, Chao; Chen, Yu

doi:10.1016/j.aei.2022.101737

Cited by 46 publications

(12 citation statements)

References 31 publications

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“…In the VERTICAL environment, a technologist can create the following types of technological processes [13,14]:  technological process of manufacturing the part;  technological process of manufacturing an assembly unit;  typical (group) technological process. The basis of the system is the tree of structural and technological elements of the part (CTE), or simply FE (Fig.…”

Section: Research and Resultsmentioning

confidence: 99%

Possibilities of information technologies in the processes of designing efficient processes for the production of aircraft structures

et al. 2023

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The work presents the process of studying CAD- Systems and systems of technological automated design of elements of aviation structures in serial production of aviation equipment. It has been established that the most important goal of laying CAD systems is to create a single information space, which It involves the rejection of direct interaction and data transfer between all participants in the product life cycle, which is implemented in the system of automated design "Vertical".

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Section: Research and Resultsmentioning

confidence: 99%

Possibilities of information technologies in the processes of designing efficient processes for the production of aircraft structures

et al. 2023

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“…For this option, information technology is used as a means of mechanization. All coordination is carried out according to the constructive plaza, and control takes place according to templates [18,19].…”

Section: Research and Resultsmentioning

confidence: 99%

Design forming tooling for manufacturing parts from sheet blanks using digital technologies

Dolgova

Durov²,

Smolyaninov³

et al. 2023

E3S Web of Conf.

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The paper considers the possibilities of using modern information technologies to solve the problems of ensuring the quality, accuracy of tooling, reducing the time and labor intensity of manufacturing, improving its design processes through the use of an electronic model of a part and a technological electronic model of tooling in technological processes of shaping parts on equipment with numerical control.

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“…The digital twin model reduces the required training samples and improves the predictions and production quality by integrating the mechanistic and data models. For example, Liu et al 12 proposed establishing a digital twin model based on simulation models of part machining. They realized machining process quality monitoring by combining the data from the process design and execution stages with mechanistic knowledge of the parts.…”

Section: School Of Mechanical Engineering Tiangong University Chinamentioning

confidence: 99%

“…For example, Liu et al. 12 proposed establishing a digital twin model based on simulation models of part machining. They realized machining process quality monitoring by combining the data from the process design and execution stages with mechanistic knowledge of the parts.…”

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confidence: 99%

Prediction method of carding process production quality based on digital twin technology

Hui Han,

rong Li,

Liu

et al. 2023

Textile Research Journal

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In recent years, digital twin technology has developed rapidly, which has great advantages in improving production quality and saving production costs. Therefore, it is of great significance to apply digital twin technology to the spinning field to realize the prediction of spinning production quality. This study takes the carding process in yarn manufacturing as an example. First, a prediction model framework for carding process production quality is proposed based on the digital twin modeling mechanism. Each key component’s modeling principles and methods are analyzed, and the modeling process and coupling between models are clarified. Next, the carding process production quality prediction model is established based on the proposed modeling framework and actual working conditions. Then, a set of comparative experiments on a generative adversarial network and a set of comparative experiments between different prediction models were designed. The results showed that the production quality prediction model of the carding process established according to the modeling method proposed in this paper meets the requirements of spinning production quality prediction, and the average error rate of the model was 5.7%. Finally, the modeling method and experimental results are discussed, and future research directions are considered. The paper has great significance for further research on quality prediction of yarn manufacturing, providing a reference for applying digital twin technology and promoting intelligent manufacturing in the spinning field.

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Digital twin-enabled machining process modeling

Cited by 46 publications

References 31 publications

Possibilities of information technologies in the processes of designing efficient processes for the production of aircraft structures

Possibilities of information technologies in the processes of designing efficient processes for the production of aircraft structures

Design forming tooling for manufacturing parts from sheet blanks using digital technologies

Prediction method of carding process production quality based on digital twin technology

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