Design methodology and geometric modeling of complete meshing profiles for scroll compressors

Jun, Wang; Liu, Qiang; Cao, Chenyan; Wang, Zengli; Li, Qiang; Yan, Qingzeng

doi:10.1016/j.ijrefrig.2018.05.011

Cited by 19 publications

(17 citation statements)

References 8 publications

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“…To properly validate the numerical models and evaluate their accuracy, a literature experimental analysis is chosen as a reference test case [39].…”

Section: The Scroll Compressor Geometrymentioning

confidence: 99%

“…In this manner, the scroll profiles meshing in the center is improved and the gaps are limited to the maximum. On the other hand, the design procedure proposed by Wang et al [39] makes it possible from the very beginning to perfectly match the profiles even in the centers, in this way limiting further leakages due to imperfect profile interactions.…”

Section: The Scroll Compressor Geometrymentioning

confidence: 99%

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Analysis of the Inner Fluid-Dynamics of Scroll Compressors and Comparison between CFD Numerical and Modelling Approaches

Cavazzini¹,

Giacomel²,

Benato³

et al. 2021

Advances in Energy Research

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Scroll compressors are widely adopted machines in both refrigeration systems and heat pumps. However, their efficiency is basically poor and constitutes the main bottleneck for improving the overall system performance. In fact, due to the complex machine fluid dynamics, scroll design is mainly based on theoretical and/or semi-empirical approaches. Designs strategies that do not guarantee an in-depth analysis of the machine behavior can be supplemented with a Computation Fluid Dynamics (CFD) approach. To this purpose, in the present work, the scroll compressor inner fluid dynamics is numerically analyzed in detail using two CFD software and two different modelling strategies for the axial gap. The analysis of the fluid evolution within the scroll wraps reveals unsteady phenomena developing during the suction and discharge phases, amplified by the axial clearance with negative impact on the main fluid flow (e.g., −13% of average mass flow rate for an axial gap of 30 µ) and on the scroll performance (e.g., +26% of average absorbed power for an axial gap of 30 µ). In terms of accuracy, the k-ε offers good performance on the estimation of average quantities but proves to be inadequate for capturing the complexity of the unsteady phenomena caused by the axial gap (e.g., −19% of the absorbed power in case of perfect tip seal). The need for Advances in Energy Research: 2 nd Edition 3 www.videleaf.com considering specific geometric details in design procedures is highlighted, and guidelines on the choice of the most suitable numerical model are provided depending on the analysis needs.

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“…To properly validate the numerical models and evaluate their accuracy, a literature experimental analysis is chosen as a reference test case [39].…”

Section: The Scroll Compressor Geometrymentioning

confidence: 99%

Section: The Scroll Compressor Geometrymentioning

confidence: 99%

Analysis of the Inner Fluid-Dynamics of Scroll Compressors and Comparison between CFD Numerical and Modelling Approaches

Cavazzini¹,

Giacomel²,

Benato³

et al. 2021

Advances in Energy Research

View full text Add to dashboard Cite

show abstract

“…As shown in Equations (1) and (2), the components of the unit normal vector for a parameterized curve are represented as a general mathematical expression (Equation (1)). There are two unit normal vectors for a given point on the curve (x and y components).…”

Section: Geometry and Force Analysis Of The Scroll Compressormentioning

confidence: 99%

“…As shown in Equation (1), the unit vectors have the same size, but their directions are reversed by the product of −1. As a result, Equation (1) was defined as a unit vector that points toward the inside and the outside (see Equation (2)). For the involutes of the orbiting scroll, the direction of the unit normal vector was chosen to face the scroll wrap because the force of the pressure acts in the direction of the scroll wrap.…”

Section: Geometry and Force Analysis Of The Scroll Compressormentioning

confidence: 99%

“…A major issue in the design is the shape of the scroll, which has a significant impact on compression performance. Numerous researchers contributed to the development of the design technique for the scroll shape [2][3][4][5][6][7][8][9][10]. Each scroll curve was defined as a circular involute, which is a practical and a classical method to predict its dynamic behavior.…”

Section: Introductionmentioning

confidence: 99%

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Transient Thermodynamic Modeling of a Scroll Compressor Using R22 Refrigerant

2020

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In this work, we investigated the transient analysis model for the performance of a scroll compressor. A transient model was developed based on the geometry of the scroll and relevant thermodynamic relations. In particular, the mass and energy conservation equations were transformed to yield pressure and temperature variations over time, respectively. As a result, the transient behavior of the refrigerant was predicted in terms of these two parameters, and the values for the suction and discharge processes had a maximum error of 5% compared to the experimental results. The predicted discharge temperature reliably agreed with the reference values during the entire compression process. The results indicate that the analytical model developed herein is a potentially useful tool for the dynamic analysis of a scroll compressor.

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Hybrid Wrap-Based Shape Optimization of a Scroll Compressor with Deep Reinforcement Learning

Yoo,

Kim

2024

Springer Proceedings in Energy

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Design methodology and geometric modeling of complete meshing profiles for scroll compressors

Cited by 19 publications

References 8 publications

Analysis of the Inner Fluid-Dynamics of Scroll Compressors and Comparison between CFD Numerical and Modelling Approaches

Analysis of the Inner Fluid-Dynamics of Scroll Compressors and Comparison between CFD Numerical and Modelling Approaches

Transient Thermodynamic Modeling of a Scroll Compressor Using R22 Refrigerant

Hybrid Wrap-Based Shape Optimization of a Scroll Compressor with Deep Reinforcement Learning

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