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Purpose <p>The three-dimensional stiffness of Rubber Isolation Pads (RIPs) and their supporting positions are critical parameters that significantly influence the vibration isolation performance of Compressor Isolation Systems (CIS). Optimizing the matching scheme of these parameters for three-point-supported compressors remains a key challenge.</p> Methodology <p>In this study, an optimization model of the CIS is established based on Improved Grey Wolf Optimizer (I-GWO) algorithm, which effectively explores the global solution space and enhances search capabilityz. A dynamic simulation method is employed to validate the effectiveness of the model.</p> Result <p>Simulations and calculations results show that the highest natural frequency of the optimized CIS reaches 14.8&#xa0;Hz, safely avoiding resonance with compressor’s excitation frequencies. Furthermore, The Energy Decoupling Rate (EDR) in each primary vibration direction of the system exceeds 90% and the root-mean-square (RMS) acceleration is reduced by over 75.4% in the Z-direction, 79.9% in the Y-direction, and 74.9% in the X-direction. A robustness analysis based on Monte Carlo simulations confirms the stability of the optimized CIS under parameter uncertainties, with all modal EDRs maintaining low variation and consistent performance. These findings provide a theoretical basis for the stiffness-position matching and engineering design of CIS in practical applications.</p>

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Collaborative Optimization Method of the Stiffness and the Supporting Positions for RIP Based on the Improved Grey Wolf Optimizer Algorithm

  • 期刊论文

  • 发表日期：

    2025年10月20日

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  • Junjie Chen,
  • Qinxun Liu,
  • Changyao Chen

摘要

Purpose

The three-dimensional stiffness of Rubber Isolation Pads (RIPs) and their supporting positions are critical parameters that significantly influence the vibration isolation performance of Compressor Isolation Systems (CIS). Optimizing the matching scheme of these parameters for three-point-supported compressors remains a key challenge.

Methodology

In this study, an optimization model of the CIS is established based on Improved Grey Wolf Optimizer (I-GWO) algorithm, which effectively explores the global solution space and enhances search capabilityz. A dynamic simulation method is employed to validate the effectiveness of the model.

Result

Simulations and calculations results show that the highest natural frequency of the optimized CIS reaches 14.8 Hz, safely avoiding resonance with compressor’s excitation frequencies. Furthermore, The Energy Decoupling Rate (EDR) in each primary vibration direction of the system exceeds 90% and the root-mean-square (RMS) acceleration is reduced by over 75.4% in the Z-direction, 79.9% in the Y-direction, and 74.9% in the X-direction. A robustness analysis based on Monte Carlo simulations confirms the stability of the optimized CIS under parameter uncertainties, with all modal EDRs maintaining low variation and consistent performance. These findings provide a theoretical basis for the stiffness-position matching and engineering design of CIS in practical applications.