OPTIMIZATION OF SINGLE AND DUAL SUPPRESSORS UNDER VARYING LOAD AND PRESSURE CONDITIONS

Authors

  • Elliott R. Gruber George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA
  • Kenneth A. Cunefare George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA
  • Per W. Danz 1George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA and Eaton Corporation, 7945 Wallace Road, Eden Prairie, MN 55344, USA
  • Kenneth A. Marek George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA
  • Michel A. Beyer Eaton Corporation, 7945 Wallace Road, Eden Prairie, MN 55344, USA

Keywords:

bladder-style suppressor, fluid-borne noise, optimization

Abstract

Hydraulic systems that operate over a broad range of load pressures pose challenges for suppression of fluid-borne noise. A common type of noise control device, a bladder-style suppressor, performs well only over a relatively narrow range of load or system pressures. This paper considers the problem of finding the optimal charge pressure(s) in either a single suppressor or two suppressors in series for maximum fluid-borne noise suppression in a weighted sense. The transmission loss, a measure of pressure ripple (dynamic pressure fluctuation) reduction, for the suppressors is predicted by an equivalent fluid model. The optimum configuration is sought through maximization of an objective function. The objective function is a summation of weighted transmission losses, where the weighting captures the duty cycle of the load pressure through a time weighting factor, and frequency weighting factor captures the spectral content of the pressure ripple. The duty-cycle weighting biases the objective function toward the most-used pressures. The frequency weighting emphasizes the high-energy spectral components in the target pressure ripple at a given load or system pressure. Optimal configurations are found for a set of system pressures, load pressures and duty cycles. It is found that the time weighting has a more significant impact on the optimum charge pressure than the frequency weighting, as seen by duty cycles considered in this paper.

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Author Biographies

Elliott R. Gruber, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA

Elliott Gruber earned a BSME degree from the Georgia Institute of Technology in 2007. He is currently pursuing a Ph. D. in Mechanical Engineering, also at the Georgia Institute of Technology.

Kenneth A. Cunefare, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA

Dr. Kenneth Cunefare is a Professor at the Georgia Institute of Technology. He began at Georgia Tech in 1990. Prior he was the F.V. Hunt Postdoctoral Fellow at The Technical University of Berlin. He earned his PhD in 1990 from the Pennsylvania State University. He is currently Professor in Charge of the Integrated Acoustics Laboratory.

Per W. Danz, 1George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA and Eaton Corporation, 7945 Wallace Road, Eden Prairie, MN 55344, USA

Dr. Per Danzl is with the Eaton Innovation Center and specializes in control system design, signal processing and analysis. He is a member of the Control Systems and Solutions group, focusing on advanced control for hydraulic hybrid systems. He received a BSME from University of Minnesota (’02) and a Ph.D. in Mechanical Engineering from the University of California Santa Barbara (’10).

Kenneth A. Marek, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Dr, Atlanta, GA 30332, USA

Kenneth Marek has a BSME degree from Texas Tech University and is currently a Ph.D. candidate in Mechanical Engineering at the Georgia Institute of Technology. His research focuses on modeling and simulation of noise control technologies for fluid power.

Michel A. Beyer, Eaton Corporation, 7945 Wallace Road, Eden Prairie, MN 55344, USA

Michel A. Beyer is a senior engineering specialist at Eaton Corporation in Eden Prairie Minnesota as part of the Noise and Vibration Center of Excellence. He began his career at Cummins Engine Company in Columbus Indiana. He earned a B.S. in Mechanical Engineering at South Dakota State University and an M.S. in Engineering from Purdue University.

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Published

2018-12-30

How to Cite

Gruber, E. R., Cunefare, K. A., Danz, P. W., Marek, K. A., & Beyer, M. A. (2018). OPTIMIZATION OF SINGLE AND DUAL SUPPRESSORS UNDER VARYING LOAD AND PRESSURE CONDITIONS. International Journal of Fluid Power, 14(3), 27–34. Retrieved from https://journals.riverpublishers.com/index.php/IJFP/article/view/214

Issue

2013: Vol 14 Iss 3

Section

Original Article

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