Modeling, Design, and Selection of Base Isolators for Industrial Machinery
محورهای موضوعی : Manufacturing process monitoring and controlFarzad Rahmani 1 , Mohammad Reza Ebrahimain 2 , Hamidreza Mohamadkarimi 3
1 - Assistant Professor, Department of Mechanical Engineering, Kar Higher Education Institute, Qazvin, Iran
2 - Assistant Professor, Department of Mechanical Engineering, Kar Higher Education Institute, Qazvin, Iran
3 - Master Student, Department of Mechanical Engineering, Kar Higher Education Institute, Qazvin, Iran
کلید واژه: Vibration Analysis, Finite Element Method, Predictive Maintenance, Isolator Optimization, Center of Gravity,
چکیده مقاله :
This study investigates the vibration behavior and optimal base isolator selection for industrial compressors, with the aim of enhancing predictive maintenance strategies. The novelty of this work lies in the integration of experimental vibration measurements with finite element analysis (FEA) to evaluate the effects of lowering the center of gravity and increasing the number of isolators on the system’s dynamic stability. Vibration data were recorded using a piezoelectric accelerometer (KMBalancer) at four locations (A–D) positioned at the compressor foot corners. The first natural frequency obtained experimentally (8.125 Hz) was compared with the FEA prediction (12.52 Hz), showing a deviation of 35.14%. A detailed sensitivity analysis of material stiffness and isolator boundary conditions was performed to explain this discrepancy. The results revealed that lowering the center of gravity considerably reduced overall deformation and stress concentration across the skid base. Furthermore, increasing the number of isolators from four to six enhanced the uniformity of vibration distribution, although the total displacement slightly increased. The combined use of experimental and numerical approaches provides a validated framework for optimizing isolator configuration in rotating industrial machinery.
This study investigates the vibration behavior and optimal base isolator selection for industrial compressors, with the aim of enhancing predictive maintenance strategies. The novelty of this work lies in the integration of experimental vibration measurements with finite element analysis (FEA) to evaluate the effects of lowering the center of gravity and increasing the number of isolators on the system’s dynamic stability. Vibration data were recorded using a piezoelectric accelerometer (KMBalancer) at four locations (A–D) positioned at the compressor foot corners. The first natural frequency obtained experimentally (8.125 Hz) was compared with the FEA prediction (12.52 Hz), showing a deviation of 35.14%. A detailed sensitivity analysis of material stiffness and isolator boundary conditions was performed to explain this discrepancy. The results revealed that lowering the center of gravity considerably reduced overall deformation and stress concentration across the skid base. Furthermore, increasing the number of isolators from four to six enhanced the uniformity of vibration distribution, although the total displacement slightly increased. The combined use of experimental and numerical approaches provides a validated framework for optimizing isolator configuration in rotating industrial machinery.
[1] Rossing, T.D. and Fletcher, N.H. 1998. The Physics of Musical Instruments. New York: Springer.
[2] Inman, D.J. 2014. Engineering Vibration. Pearson.
[3] Smith, J., Brown, A. and Taylor, R. 2017. Numerical modeling of rubber vibration isolators considering material properties. Journal of Mechanical Engineering Science. 231(6):1100–1112. doi: 10.1177/0954406216654312.
[4] Chen, L. and Li, W. 2019. Optimization of industrial machine base isolators using ANSYS simulation. International Journal of Industrial Engineering. 26(4):512–523.
[5] Jones, M. 2015. Vibration isolator selection for heavy machinery based on energy transmission criteria. Mechanical Systems and Signal Processing. 60:103–115. doi: 10.1016/j.ymssp.2015.01.012.
[6] Wang, Y., Zhang, H. and Liu, J. 2020. Multi-parameter design optimization of vibration isolators for industrial machinery. Journal of Sound and Vibration. 482:115421. doi: 10.1016/j.jsv.2020.115421.
[7] Zhou, Q., Li, S. and Wang, T. 2023. Smart adaptive vibration isolators for industrial machines: A review. Sensors and Actuators A: Physical. 340:113568. doi: 10.1016/j.sna.2023.113568.
[8] Zeng, X., Xu, J., Han, B., Zhu, Z., Wang, S., Wang, J., Yang, X., Cai, R., Du, C. and Zeng, J. 2024. A Review of Linear Compressor Vibration Isolation Methods. Processes. 12(10):2210. doi: 10.3390/pr12102210.
[9] Rahmani, F., Hosseini, M. and Asadi, M. 2021. Experimental study on the effect of vibration isolators on compressor vibration reduction. International Journal of Mechanical Sciences. 185:105924. doi: 10.1016/j.sna.2023.113555.
[10] Dikmen, E. and Badogan, I. 2008. Material characteristics of a vehicle door seal and its effect on vehicle vibrations. Vehicle System Dynamics. 46:16–28. doi: 10.1080/00423110701689610.
[11] Dikmen, E. and Basdogan, I. 2009. Mechanical analysis of vehicle door seals and their effect on vibration behavior. Istanbul (Turkey): Koç University, Mechanical Engineering Department. doi: 10.1080/00423110701689610.
[12] Rahmani, F. and Hashemi, S.J. 2021. Numerical and experimental investigation of vibration reduction using optimized isolators. Journal of Modern Processes in Manufacturing and Production. 10(2):5–12. dor: 20.1001.1.27170314.2021.10.2.1.2.
[13] Rezaei, H. and Akbari, M. 2023. Experimental and numerical evaluation of damping performance in industrial base isolators. Journal of Modern Processes in Manufacturing and Production. 12(3):45–56. dor: 20.1001.1.27170314.2023.12.3.5.1.
[14] Mohammadi, A. and Keshavarz, M. 2022. Finite element modeling of elastomeric isolators for compressors. Journal of Modern Processes in Manufacturing and Production. 11(1):13–21. dor: 20.1001.1.27170314.2022.11.1.2.4.
