A MULTI-PARAMETER MULTI-OBJECTIVE APPROACH TO REDUCE PUMP NOISE GENERATION

Authors

  • Ganesh Kumar Seeniraj Purdue University, Department of Agricultural and Biological Engineering, Maha Fluid Power Research Center, 1500 Kepner Drive, Lafayette, IN 47905, USA
  • Monika Ivantysynova Purdue University, Department of Agricultural and Biological Engineering, Maha Fluid Power Research Center, 1500 Kepner Drive, Lafayette, IN 47905, USA

Keywords:

noise reduction, axial piston pump, multi objective optimization, precompression grooves, precompression filter volume

Abstract

Noise emission from axial piston machines has been studied for several decades by many researchers and pump manufacturers. Different design methods for reducing the sources of pump noise have been proposed and are in use. The authors have studied and compared the effectiveness of several passive design methods. This paper presents a short overview of the existing design methods. The challenges in reducing both fluid borne noise sources (FBNS) and structure borne noise sources (SBNS) in a unified way are discussed. A computer aided multi-objective optimization procedure, which helps minimize the pump noise sources in a broad operating range, has been proposed by the authors. The optimization procedure is described in detail along with the mathematical model of the pump in this paper. An important contribution of the multi-objective parameterized approach is that the compression and the expansion region of the valve plate are simultaneously optimized unlike most previous works which consider compression and expansion separately. The parameterization of the valve plate is also explained. A case study and noise level measurements to prove the effectiveness of the optimization procedure are included.

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Author Biographies

Ganesh Kumar Seeniraj, Purdue University, Department of Agricultural and Biological Engineering, Maha Fluid Power Research Center, 1500 Kepner Drive, Lafayette, IN 47905, USA

Ganesh Kumar Seeniraj Born on May 10, 1980 in Sivakasi, Tamil Nadu, India. He received his Bachelor of Engineering in Mechanical Engineering from College of Engineering, Guindy, Anna University, India in 2001. He received his MS in Mechanical Engineering from Kettering University, USA in 2003 and PhD from Purdue University, USA in 2009. Improving the efficiency of Fluid Power Systems at both component and system level has been his main research area. His research focus also includes reduction of fluid borne and structure borne noise sources in hydraulic pumps/motors and transmissions.

Monika Ivantysynova, Purdue University, Department of Agricultural and Biological Engineering, Maha Fluid Power Research Center, 1500 Kepner Drive, Lafayette, IN 47905, USA

Monika Ivantysynova Born on December 11th 1955 in Polenz (Germany). She received her MSc. Degree in Mechanical Engineering and her PhD. Degree in Fluid Power from the Slovak Technical University of Bratislava, Czechoslovakia. After 7 years in fluid power industry, she returned to university. In April 1996 she received a Professorship in fluid power & control at the University of Duisburg (Germany). From 1999 until August 2004 she was Professor of Mechatronic Systems at the Technical University of Hamburg-Harburg. Since August 2004 she is Professor in Mechanical Engineering and Agricultural and Biological Engineering at Purdue University, USA. She was approved as Maha named Professor in Fluid Power Systems and director of the Maha Fluid Power Research Center at Purdue University in November 2004. Her main research areas are energy saving actuator technology and model based optimization of displacement machines as well as modeling, simulation and testing of fluid power systems. Besides the book “Hydrostatic Pumps and Motors” published in German and English, she has published more than 90 papers in technical journals and at international conferences.

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Published

2011-03-01

How to Cite

Seeniraj, G. K., & Ivantysynova, M. (2011). A MULTI-PARAMETER MULTI-OBJECTIVE APPROACH TO REDUCE PUMP NOISE GENERATION. International Journal of Fluid Power, 12(1), 7–17. Retrieved from https://journals.riverpublishers.com/index.php/IJFP/article/view/471

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