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Real-Time Evaluation of Energy Efficiency of Hydraulic Systems

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

July 12, 2024

Conference Session

Experiential Learning in ET Programs II

Tagged Division

Engineering Technology Division (ETD)

Permanent URL

https://peer.asee.org/47921

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Paper Authors

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Alamgir A. Choudhury Western Michigan University Orcid 16x16 orcid.org/0000-0003-3040-4180

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Alamgir A. Choudhury is a Professor of Engineering Design, Manufacturing and Management Systems at Western Michigan University, Kalamazoo, Michigan. His MS and PhD are in mechanical engineering from NMSU (Las Cruces) and BS in mechanical engineering from BUET (Dhaka). His area of interest is engineering education, engineering design, fluid power, instrumentation and control

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biography

Jorge Rodriguez P.E. Western Michigan University

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Professor in the Department of Engineering Design, Manufacturing, and Management Systems (EDMMS) at Western Michigan University's (WMU). Co-Director of the Center for Integrated Design (CID), and currently the college representative to the President’s U

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Abstract

The importance of real-time monitoring and evaluation of any system has become increasingly significant due to the trend towards full automation of systems, which is part of the Industry 4.0 concepts. A real-time data analysis system was developed as part of a class project on the energy efficiency of an industrial hydraulic system. Using a system-level experimental methodology, this system implements automation for the hydraulic systems to improve energy efficiency in real-time. The system contains hydraulic actuators, shock absorbers, electronic flow control valves, and electronic sensors. This prototype is used to experiment with different operating conditions to characterize the behavior of the hydraulic system. A real-time data analysis system was developed using LabVIEW and an Open Platform Communication (OPC) server on a limited scale. Using the Math Script node, the data analysis system can conduct correlation coefficient analysis among different operating parameters. At the end of a task, the system automatically generates the actions needed to improve the system’s efficiency. The implemented system, along with the experimental setup and procedure, will be presented, along with the data collected from monitoring the system. The specific analysis conducted on the collected data, and the resulting actions and effects on system performance, are also presented. Results indicate that improvement in efficiency has been accomplished. This project illustrates the use of senior project groups to develop lab experiments that can eventually be included in courses dealing with particular topics, such as hydraulic systems and efficiency of components. The goal is to include this system in the undergraduate fluid mechanics lab for real-time system evaluation.

Choudhury, A. A., & Rodriguez, J. (2024, June), Real-Time Evaluation of Energy Efficiency of Hydraulic Systems Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47921

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