Digital Twin Applications: Diagnostics, Optimisation and Prediction

Kostenko, Dmitry; Kudryashov, N. V.; Maystrishin, Mihail; Onufriev, Vadim; Potekhin, V. V.; Vasiliev, Alexey

doi:10.2507/29th.daaam.proceedings.083

“…Digital twins are digital clones of material things or systems that maintain high integrity and awareness and interact with the real environment [51]. These digital clones of their physical things may be utilised to offer classification [52], [53], recognition [54], [55], prediction [56], [57], and determination services [58], [59]. Interference from humans and manual feature selection are both times demanding.…”

Section: A Digital Twinmentioning

confidence: 99%

The Metaverse evolution: Toward Future Digital Twin Campuses

Antonijevic

¹

,

Iqbal

²

,

Ubakanma

³

et al. 2022

2022 Human-Centered Cognitive Systems (HCCS)

4

0

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“…Electric loss is the power loss that occurs when the current passes through the stator conductor coil, which is mainly related to the magnitude of the current. It occurs at the stator and is calculated by the Joule-Lenz law as, = 2 where, Pe is electrical power loss in Watts, ρ is conductor resistivity, I is winding current of stator in Ampere, R is conductor resistance of single-phase winding in Ω.…”

Section: Correction Principle Of Thermal Boundaries 41 Heat Generation Correctionmentioning

confidence: 99%

Research on the Digital Twin for Thermal Characteristics of Motorized Spindle

Xiao¹,

Fan²

2021

Preprint

0

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With the increase of spindle speed, heat generation becomes the crucial problem of high-speed motorized spindle. In order to obtain the actual thermal behavior of a motorized spindle, a digital twin system for thermal characteristics is developed in this paper. The mechanism of digital twin for thermal characteristics is to simulate the thermal behavior of a machine tool through mapping and correcting the thermal boundary conditions using the data acquisition system and correction models. The proposed digital twin system includes three modules which are the digital twin software, the data acquisition system, and the physical model with embedding sensors. The digital twin software is developed based on the Qt with the C++ programming language and the secondary development of ANSYS. Correction models for thermal boundaries are proposed to correct the heat generation and thermal contact resistance using the temperatures measured by the data acquisition system at thermal key points. To verify the prediction accuracy of the digital twin system, an experiment is carried out on a motorized spindle. The experimental results show that the prediction accuracy of the digital twin system is greater than 95%. It is of great significance to improve the accuracy of thermal characteristics simulation and thermal optimization.

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“…In the theoretical aspects, the concept of digital twin was proposed by Professor Grieves [1] in 2003 firstly, and later the NASA applied the concept to the aircraft in the Apollo program. Dmitry Kostenko et al [2] studied the application of device digital twins in static and dynamic diagnosis, and proposed a knowledge base-based diagnosis method. Tao F et al [3][4][5] constructed a fivedimensional structural model and driving-based application standards for the digital twin, and proposed 14 application hypotheses driven by the digital twin, and analyzed in detail the product design, manufacturing and service methods based on digital twin technology, which was applied to the equipment fault prediction and health management research.…”

Section: Introductionmentioning

confidence: 99%

Research on the digital twin for thermal characteristics of motorized spindle

Xiao

¹

,

Fan

²

2022

Int J Adv Manuf Technol

View full text Add to dashboard Cite

With the increase of spindle speed, heat generation becomes the crucial problem of high-speed motorized spindle. In order to obtain the actual thermal behavior of a motorized spindle, a digital twin system for thermal characteristics is developed in this paper. The mechanism of digital twin for thermal characteristics is to simulate the thermal behavior of a machine tool through mapping and correcting the thermal boundary conditions using the data acquisition system and correction models. The proposed digital twin system includes three modules which are the digital twin software, the data acquisition system, and the physical model with embedding sensors. The digital twin software is developed based on the Qt with the C++ programming language and the secondary development of ANSYS. Correction models for thermal boundaries are proposed to correct the heat generation and thermal contact resistance using the temperatures measured by the data acquisition system at thermal key points. To verify the prediction accuracy of the digital twin system, an experiment is carried out on a motorized spindle. The experimental results show that the prediction accuracy of the digital twin system is greater than 95%. It is of great significance to improve the accuracy of thermal characteristics simulation and thermal optimization.

show abstract

Digital Twin Applications: Diagnostics, Optimisation and Prediction

Cited by 16 publications

References 0 publications

The Metaverse evolution: Toward Future Digital Twin Campuses

The Metaverse evolution: Toward Future Digital Twin Campuses

Research on the Digital Twin for Thermal Characteristics of Motorized Spindle

Research on the digital twin for thermal characteristics of motorized spindle

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