Design optimization of a valve lift limiter of compressors using a fluid-structure interaction model

The valve is a critical component in compressors, significantly affecting their efficiency and reliability. The performance of the reed valve can be largely influenced by the lift limiter. However, the current methods for determining the optimal profile of the limiter lack scientific rigor, relying primarily on empirical observations and trial-and-error approaches. This study proposed an enhanced design process for the limiter profile, aiming to minimize the maximum stress on the valve while ensuring its optimal motion. A fluid-structure interaction (FSI) model was developed to predict the characteristics of the discharge valve in a reciprocating compressor. To efficiently explore the design space and identify the optimal profile, a surrogate model was established using the Kriging model, and genetic algorithm optimization was employed. Detailed comparative analysis was conducted to evaluate the impact of different profiles on valve performance, as well as the influence of different rotational speeds and discharge pressures on the optimal profile. By optimizing the profile of the limiter, the maximum stress of the valve was reduced by 24.74% compared with the initial design of 181.96 MPa, while maintaining a good motion pattern. The impact stress increased most significantly at excessively high rotational speeds, which increased by 50.9%. The increase in discharge pressure also resulted in larger impact stress. This research provides valuable insights and approaches for designing compressor valve lift limiters, contributing to enhancing compressor efficiency and reliability.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Published
2025-02-13
DOI
https://doi.org/10.1177/09544089251318119
Primary Topic
Refrigeration and Air Conditioning Technologies
Type
article
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article

Design optimization of a valve lift limiter of compressors using a fluid-structure interaction model

Maofei Geng, Yuhang Zhou, Xiaolin Wang, L. Q. Luo et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Refrigeration and Air Conditioning Technologies
article

Design optimization of a valve lift limiter of compressors using a fluid-structure interaction model

Maofei Geng, Yuhang Zhou, Xiaolin Wang, L. Q. Luo, Bei Guo, Jihwon Yun
article en

Abstract

The valve is a critical component in compressors, significantly affecting their efficiency and reliability. The performance of the reed valve can be largely influenced by the lift limiter. However, the current methods for determining the optimal profile of the limiter lack scientific rigor, relying primarily on empirical observations and trial-and-error approaches. This study proposed an enhanced design process for the limiter profile, aiming to minimize the maximum stress on the valve while ensuring its optimal motion. A fluid-structure interaction (FSI) model was developed to predict the characteristics of the discharge valve in a reciprocating compressor. To efficiently explore the design space and identify the optimal profile, a surrogate model was established using the Kriging model, and genetic algorithm optimization was employed. Detailed comparative analysis was conducted to evaluate the impact of different profiles on valve performance, as well as the influence of different rotational speeds and discharge pressures on the optimal profile. By optimizing the profile of the limiter, the maximum stress of the valve was reduced by 24.74% compared with the initial design of 181.96 MPa, while maintaining a good motion pattern. The impact stress increased most significantly at excessively high rotational speeds, which increased by 50.9%. The increase in discharge pressure also resulted in larger impact stress. This research provides valuable insights and approaches for designing compressor valve lift limiters, contributing to enhancing compressor efficiency and reliability.

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
University of Tasmania (AU), Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 98%
Refrigeration and Air Conditioning Technologies
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