Design and Sensitivity Analysis of Mechanically Actuated Digital Radial Piston Pumps

Author:

Pate Keith1,Marschand James R.2,Breidi Farid1ORCID,Salem Tawfiq3,Lumkes John2

Affiliation:

1. Engineering Technology, School of Engineering Technology, Purdue University, West Lafayette, IN 47906, USA

2. Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47906, USA

3. Computer and Information Technology, School of Engineering Technology, Purdue University, West Lafayette, IN 47906, USA

Abstract

One major challenge in fluid power is the improvement and optimization of the efficiency of mobile hydraulic systems. Conventional fluid power systems often exhibit relatively low overall efficiencies caused by inefficiencies in the various components, such as a prime mover, variable displacement pump, valves, fittings, hoses, and actuators. While each component contributes to the losses in the overall system, the pump converts the mechanical shaft energy from the prime mover to energy transmitted hydraulically and is one of the most crucial components impacting overall system efficiency. Using on/off technologies, new pump architectures have enabled the opportunity to increase the efficiency over conventional designs using positive sealing valves in place of conventional port plate designs. This work proposes, investigates, and assesses the development and optimization of a digital variable displacement pump using a novel cam actuation technique on radial piston pumps. The novelty of this work is the development and parameter optimization of a mechanically actuated digital radial piston pump that can achieve high efficiencies from minimum to maximum displacement compared to common conventional variable displacement pump technologies. In this study, a sensitivity analysis is conducted to study the parameters of the system to optimize the pump. The parameters assessed in this study include: the valve bore size, cam transition and compression angles, piston diameter, and dead volume in the pumping chamber. The simulation results show that after optimizing the parameters of the system, the pump in design could reach a maximum efficiency of approximately 93% and was capable of upholding efficiencies above 80% between 30–100% displacement.

Funder

Purdue Polytechnic Research Impact Area (RIA) Graduate Research Assistantship (GRA) program

Publisher

MDPI AG

Reference23 articles.

1. The impact of global warming on the automotive industry;Hannappel;A.I.P. Conference Proceedings,2017

2. Friedman, L.E.P.A. (2022, December 13). Announces Tightest-Ever Auto Pollution Rules. The New York Times. Available online: https://www.nytimes.com/2021/12/20/climate/tailpipe-rules-climate-biden.html.

3. The White House (2022, December 13). FACT SHEET: President Biden Sets 2030 Greenhouse Gas Pollution Reduction Target Aimed at Creating Good-Paying Union Jobs and Securing U.S. Leadership on Clean Energy Technologies, Available online: https://www.whitehouse.gov/briefing-room/statements-releases/2021/04/22/fact-sheet-president-biden-sets-2030-greenhouse-gas-pollution-reduction-target-aimed-at-creating-good-paying-union-jobs-and-securing-u-s-leadership-on-clean-energy-technologies/.

4. EPA (2022, November 15). Sources of Greenhouse Gas Emissions, Available online: https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions.

5. (2023, November 07). TransportPolicty.net (n.d.) US: NONROAD: EMISSIONS. Available online: https://www.transportpolicy.net/standard/us-nonroad-emissions/.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3