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Quality Control in System Optimization of an Electrohydraulic System

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Manufacturing Division Technical Session Innovative Pedagogy in Manufacturing Education

Tagged Division

Manufacturing

Page Count

16

Permanent URL

https://strategy.asee.org/37626

Download Count

52

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Paper Authors

biography

Mustafa Shraim Ohio University

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Dr. Mustafa Shraim is an Assistant Professor in the Department of Engineering Technology & Management at Ohio University in Athens, Ohio. He received both of his B.S. and M.S. degrees from Ohio University in 1986 and 1989, respectively. He received his Ph.D. in Industrial Engineering from West Virginia University in 1996.

Dr. Shraim’s research interests are in the area of quality engineering. Specifically, they cover Lean / Six Sigma methods and including incorporating experimental design to optimize operations. Other research interests include the Deming System of Profound Knowledge (SoPK), developing continuous improvement programs as well as sustainable management systems based on ISO 9001, ISO 14001, and other international standards.

He has over 20 years of experience in the quality management field as a quality engineer, corporate quality manager, consultant and trainer. His experience is extensive in quality management systems as wells as Lean and Six Sigma methods. In addition, he coached and mentored Green & Black Belts on process improvement projects in the manufacturing and service industries.

Dr. Shraim is a Certified Quality Engineer (CQE) & a Certified Six Sigma Black Belt (CSSBB) by The American Society for Quality (ASQ). He is also a certified Quality Management Systems (QMS) Lead Auditor by the International Register of Certificated Auditors (IRCA) in London. He was elected a Fellow by ASQ in 2007.

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biography

Yuqiu You Ohio University

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Dr. YUQIU YOU is an Associate Professor of Engineering Technology and Management at Ohio University. She earned her B.E. degree from HuaZhong University of Science and Technology in China, MS from Morehead State University of Morehead, KY, and Ph.D. (Technology Management with the concentration in manufacturing systems, 2006) from Indiana State University. Dr. You is currently teaching at Ohio University. Her interests are in computer-integrated manufacturing, automation control, and remote control systems. Dr. You may be reached at youy@ohio.edu.

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Abstract

Electrohydraulic systems with the combination of hydraulic hardware and electronics have offered superior industrial applications in position, velocity, and force/torque control. Position control is the more demanding application of such automated electrohydraulic systems. However, the system performance is affected by many factors with hydraulic and electronic hardware and software and, therefore, impacts the manufacturing process performance and product quality. To optimize the system performance, it is important to identify the key factors that play significant roles. This study presents a quality control application to optimize an electrohydraulic system in the presence of extraneous variability.

The electrohydraulic system studied here controls the position of a hydraulic cylinder through a servo valve, a fluid control drive (Compax 3F), and a web-based automation controller (Parker Automation Controller). The performance measures of the system are response time of the cylinder to a target setpoint position, and positioning errors that reflect the deviation of current cylinder position from the target position. The controllable process parameters (factors) in this system include fluid pressure, proportional gain of the controller configuration, and signal communication (local vs. remote). The ambient temperature will be used as the extraneous noise variable to simulate a real manufacturing environment.

The study objective is to answer the questions: (1) Which factors affect the system performance measures and to what extent?, and (2) can optimal settings be identified for the system to perform consistently over the range of the extraneous noise variable? To do this, Taguchi experiments will be utilized, and analysis of variance (ANOVA) will be conducted along with signal to noise ratios and factorial plots, to analyze the results. The aim of this paper is to introduce the application of quality control methods in performance optimization for an automated electrohydraulic position control system. The system setup, hardware, software, and programming will be introduced. The research design, measurements, and experimental runs will be demonstrated and explained. The impact on students’ understanding will be analyzed through assessment of their reports and presentations.

Shraim, M., & You, Y. (2021, July), Quality Control in System Optimization of an Electrohydraulic System Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://strategy.asee.org/37626

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