Zobrazeno 1 - 10
of 267
pro vyhledávání: '"digital twin technology"'
Publikováno v:
Journal of the Mechanical Behavior of Materials, Vol 33, Iss 1, Pp 721-9 (2024)
Piping systems in thermal power plants are generally subjected to creep–fatigue loading caused by internal pressure, bending moment, and torsional moment in a high-temperature environment. These loadings cause Type IV cracks to form in the heat-aff
Externí odkaz:
https://doaj.org/article/3d5ee5a2dd514ba2940475fd42e0facf
Publikováno v:
Fashion and Textiles, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract Owing to global warming and pollution concerns, reducing the environmental footprint of the textile and fashion industry has received considerable attention. Within this industry, the dyeing and finishing processes contribute significantly t
Externí odkaz:
https://doaj.org/article/723c4d7eb87e4078a71956716cccf815
Autor:
Li, Dongsheng, Li, Jun
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 2, pp. 543-556.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-02-2023-0291
Autor:
Narender Chinthamu, Adapa Gopi, A. Radhika, E. Chandrasekhar, Kamred Udham Singh, Dinesh Mavaluru
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101210- (2024)
Through the integration of AI and IoT, the digital twin transforms industrial sectors by virtually portraying physical systems. Simulation and the application of lifecycle management improve decision-making. In this paper, a virtual prototype system
Externí odkaz:
https://doaj.org/article/f5351447875943c5a3e6b61b344d6808
Autor:
YIN Jianhui
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 2, Pp 28-34 (2024)
There are currently problems with the intelligent gas extraction system in coal mines. ① The system's functions are limited to a certain process control, resulting in incomplete coverage of gas extraction business management and inadequate implemen
Externí odkaz:
https://doaj.org/article/d114c8181dd0445d857e77b483f0f9e1
Publikováno v:
IEEE Access, Vol 12, Pp 43984-43999 (2024)
This paper presents a comprehensive survey of machine learning, deep learning, and digital twin technology methods for predicting and managing the battery state of health in electric vehicles. Battery state of health estimation is essential for optim
Externí odkaz:
https://doaj.org/article/1b603fe0b52044149f5259d076a6153f
Publikováno v:
Petroleum Research, Vol 8, Iss 2, Pp 270-278 (2023)
The hydrocarbon industry is considering a range of digital technologies to improve productivity, efficiency, and safety of their operations while minimizing capital and operating costs, health and environmental risks, and variability in oil and gas p
Externí odkaz:
https://doaj.org/article/9b61679f1a5e4ec7961510bac48b3551
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
As the “blood vessels” and “nerves” of the power grid, cables are important carriers for transmitting electric energy, and their failures will affect the safe and stable operation of the power grid. In this paper, a digital twin model of ther
Externí odkaz:
https://doaj.org/article/42d76d2698e3433ba659c118bce571ca
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Advanced manufacturing techniques and digital twin technology are rapidly transforming the nuclear industry, offering the potential to enhance productivity, safety, and cost-effectiveness. Customized parts are being produced using additive manufactur
Externí odkaz:
https://doaj.org/article/753dd0392c8342fb9a637e7cbf445ae5
Autor:
Zhao Jiayu
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper integrates the landscape information model, designs the digital twin rural landscape architecture, and analyzes the advantages of the digital twin rural landscape model. The practical application of digital twin technology is examined from
Externí odkaz:
https://doaj.org/article/2f96585d267c429aa786631b78e0f06e