Key Technologies and Application of Electric Scroll Compressors: A Review

Zhang, Yubo; Peng, Bin; Zhang, Pengcheng; Sun, Jian; Liao, Zhixiang

doi:10.3390/en17071790

Cited by 5 publications

(1 citation statement)

References 85 publications

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“…In recent years, there have been substantial studies on the scroll compressor rotor system and its drive bearing. Zhang et al [3] provide an overview of the current applications and research status of electric scroll compressors, including the optimal design of scroll compressor profiles, rolling disk leakage seals and computer simulation optimization design methods. In addition, trends in the development of steam injection scroll compressors are discussed, as well as recent research progress and sustainable applications of new refrigerant CO 2 in electric scroll compressors.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Balance Simulation and Optimization of Electric Vehicle Scroll Compressor Rotor System

Yuan,

Yang,

et al. 2024

Applied Sciences

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In order to solve the problem of imbalance of internal forces in the system caused by the gravity force of the eccentric wheel and the orbiting scroll close to the drive bearing and the rotational inertia force during the operation of the electric scroll compressor, a dynamic model of the rotor system of the scroll compressor that takes into account the effect of the gas force was established using the multibody dynamics software ADAMS/View 2020. Dynamic simulation analysis of the rotor system is carried out, focusing on the force of the drive bearing; a parametric optimization method is adopted to optimize the position of the center-of-mass coordinates of the eccentric wheel of the relevant components, and the relevant parameters are derived after optimization. The results show that by adjusting the center-of-mass position of the eccentric wheel it is possible to optimize the unbalance force and unbalance moment of the main shaft drive system; compared with the pre-optimization, the force fluctuation ranges of the drive bearing in the horizontal and vertical directions are reduced, the peak value is reduced by 18%, and the impact force of the drive bearing during the initial period of compressor operation is effectively relieved. Through optimization calculation, the vibration and noise of the system are reduced, the operating stability of the scroll compressor is improved, and analytical methods and theoretical guidance are provided for the design and prediction of the dynamic behavior of the scroll compressors.

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Section: Introductionmentioning

confidence: 99%

Dynamic Balance Simulation and Optimization of Electric Vehicle Scroll Compressor Rotor System

Yuan,

Yang,

et al. 2024

Applied Sciences

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Defect Detection of Scroll Fixed Using AI Machine Vision Inspection

Lee,

Yun,

Park

2024

Int. J. Precis. Eng. Manuf.

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Research on faults diagnosis of dynamic balance in scroll compressor based on CWT-MViTV2

Xingshen,

Lin,

Haisheng

et al. 2024

Meas. Sci. Technol.

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The dynamic balancing of rotor systems is a critical factor affecting the vibration of scroll compressors. Traditionally, the detection and correction of rotor dynamic balancing systems have relied on time-domain and frequency-domain analysis of vibration signals, as well as validation using rotor dynamic balancing test platforms. This paper proposes a novel fault diagnosis method for the dynamic balancing of scroll compressor rotor systems. This method acquires the time-domain vibration signals of the scroll compressor through online detection experiments. These signals are then transformed into time-frequency maps using continuous wavelet transform(CWT). By integrating the MViTV2 neural network, this approach enables effective identification of dynamic balancing fault types without requiring disassembly or shutdown of the machine. The fault types, corresponding to the offset of the balancing weight’s centroid, will provide direct data support for subsequent validation work. This study compares various neural network models combined with time-frequency maps and demonstrates that the proposed model achieves the highest accuracy of 99.749% compared to other models, and the method's generalizability is validated in the public dataset. Furthermore, the proposed model maintains a high accuracy of 94.872% in high-noise environments. After improvement, the accuracy of the model has been increased to 95.641%, the training time and the diagnosis time has been reduced to 0.240 iter/s and 0.0277s.

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Key Technologies and Application of Electric Scroll Compressors: A Review

Cited by 5 publications

References 85 publications

Dynamic Balance Simulation and Optimization of Electric Vehicle Scroll Compressor Rotor System

Dynamic Balance Simulation and Optimization of Electric Vehicle Scroll Compressor Rotor System

Defect Detection of Scroll Fixed Using AI Machine Vision Inspection

Research on faults diagnosis of dynamic balance in scroll compressor based on CWT-MViTV2

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