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From Industry to Academic Laboratory: Lab-Scaled Industrial Web Handling System for Vision Evaluation and Detection of Wrinkles

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2014 ASEE Annual Conference & Exposition


Indianapolis, Indiana

Publication Date

June 15, 2014

Start Date

June 15, 2014

End Date

June 18, 2014



Conference Session

Laboratory Experiences with Signal Processing and Controls

Tagged Division

Division Experimentation & Lab-Oriented Studies

Page Count


Page Numbers

24.632.1 - 24.632.19



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Paper Authors


Irina Nicoleta Ciobanescu Husanu Drexel University (Tech.)

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Dr. Ciobanescu –Husanu received her PhD degree in mechanical engineering from Drexel University in 2005 and also hold a MS degree in aeronautical engineering from Polytechnic University of Bucharest. Her dissertation was on numerical investigation of fuel droplet interactions at near zero Reynolds numbers. Other research projects involved computational evaluation of Icing Scaling Methods and development of an ice accretion model for airfoils using a LEWICE code. Currently is appointed as assistant professor at Department of Engineering Technology with College of Engineering, Drexel University and her research interest is in thermal and fluid sciences with applications in micro-combustion, fuel cells and research of alternative and green fuels as well as expanding her research work towards new areas regarding plasma assisted combustion. Dr. Ciobanescu-Husanu has prior industrial experience in aerospace engineering areas, that encompasses both theoretical analysis and experimental investigations such as designing and testing of propulsion systems including design and development of pilot testing facility, mechanical instrumentation of the tested prototype, and developing industrial applications of aircraft engines. Also, in the past 9 years she gained experience in teaching Mechanical Engineering courses with emphasis on thermal-fluid and energy conversion areas from various levels of instruction and addressed to a broad spectrum of students, varying from freshmen to seniors, from high school graduates to adult learners.

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Yalcin Ertekin Drexel University (Tech.)

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Yalcin Ertekin received his Ph.D. degree in mechanical Engineering from Missouri University of Science and Technology (formerly The University of Missouri-Rolla). He is a Certified Quality Engineer (CQE) and Certified Manufacturing Engineer (CMfgE). His teaching responsibilities include Computer Numerical Control, manufacturing processes, applied quality control, mechanical design, and applied mechanics, manufacturing information management systems, introduction to technology and graphical communication as well as senior design courses. He developed two online graduate courses: rapid prototyping and product design and lean manufacturing principles for MSET program. Dr. Ertekin has over six years of industrial experience related to quality and design engineering mostly in automotive industry. He worked for Toyota Motor Corporation as a quality assurance engineer for two years and lived in Toyota City, Japan. His area of expertise is in CAD/CAM, manufacturing processes, machine design with CAE methods, rapid prototyping, CNC machining and quality control. His research interest includes sensor based condition monitoring of machining processes, machine tool accuracy characterization and enhancement, non-invasive surgical tool design and bio-materials applications. During his career, Dr. Ertekin published papers in referred journals and in conference proceedings in his area of research interest. He has also been PI for various NSF research projects including NSF-TUES and MRI programs. Dr. Ertekin is an active member in the Society of Manufacturing Engineers (SME), and currently serves as a chair of Philadelphia SME Chapter-15.

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Radian G. Belu Drexel University (Tech.)

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Dr. Radian Belu is Assistant Professor within the Engineering Technology (ET) program - Drexel University, Philadelphia, USA. He is holding a PHD in power engineering and the other in physics. Before joining to the Drexel University Dr. Belu hold faculty and research positions at universities and research institutes in Romania, Canada and United States. He also worked for several years in industry as project manager, senior engineer and consultant. He has taught and developed undergraduate and graduate courses in power electronics, power systems, renewable energy technologies, smart grids, control theory, electric machines, instrumentation, radar and remote sensing, numerical methods and data analysis, space and atmosphere physics, and applied physics. His research interests included power system stability, control and protection, renewable energy system analysis, assessment and design, smart microgrids, power electronics and electric machines for wind energy conversion, radar and remote sensing, wave and turbulence simulation, measurement and modeling, numerical modeling, electromagnetic compatibility and engineering education. During his career Dr. Belu published eight book chapters, several papers in referred journals and in conference proceedings in his areas of the research interests. He has also been PI or Co-PI for various research projects United States and abroad in power systems analysis and protection, load and energy demand forecasting and analysis, renewable energy, microgrids, turbulence and wave propagation, radar and remote sensing, instrumentation, atmosphere physics, electromagnetic compatibility, and engineering education.

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From Industry to Academic Laboratory: Lab-Scaled Industrial Web Handling System for Vision Evaluation and Detection of WrinklesIn a fast changing industrial environment, educational laboratory activities need to keep pacewith new and emerging technologies that are implemented, in order to provide students with therequired skills consistent with the newest technologies available. Current industrial settings areoften too expensive and complex to implement at an educational laboratory level. On the otherhand, the advancement of increasing efficiency and reducing the cost of manufacturing iscontingent upon innovation. In manufacturing industry oftentimes defects in products areidentified by operators examining the product. In the manufacturing of sheet products thematerial is typically a very long or continuous sheet, which is referred to as a web. Continuousweb applications often encounter wrinkles and creases as defects in the product; these first showthemselves as waves in the sheet. Using vision technology combined with the known physicalproperties of the product we can recognize and react to waves in the web that lead to thesewrinkle formations.The paper presents a capstone project developed by a team of students in our EngineeringTechnology (ET) program. This project is based on an innovative system that will reduce thecost of manufacturing of continuous-web products by eliminating the operator based wrinkledetection currently used in industry. Using vision technology combined with the physicalproperties of the product the scaled system can recognize and react to waves in the web that leadto these wrinkle formations, using a laser line generator to highlight the waves in the web, andthen using the angle relationship between the laser, the camera and the web to measure thewavelength and amplitude of the wave. To develop and test this theory, students built a fullyautomated prototype system that mimics a real continuous web machine allowing for automatictensioning and intentionally wrinkling the product and removing wrinkle defects based on visionsystem feedback. The developed model of a real web system allows for measurements in acontrolled environment, being a combination of educational laboratory set-up and an innovativeapproach to solve an existing industrial problem. This prototype is developed as laboratoryteaching equipment, allowing students to visualize, monitor, control, and improve a realindustrial manufacturing process, giving them the opportunity to grasp the complexity and theinterdisciplinary nature of those processes. This project is an innovative approach towardssolving an existing industrial problem, as well as a novel instructional and research tool. Severalcourses in our ET curricula, ranging from manufacturing to measurements and instrumentationsas well as quality control are scheduled to be impacted by this type of trans-disciplinary capstoneprojects. The paper aims mainly to emphasize the impact of this type of inter andmultidisciplinary student-led project in our curricula as well as in student learning outcomes as awhole.

Ciobanescu Husanu, I. N., & Ertekin, Y., & Belu, R. G. (2014, June), From Industry to Academic Laboratory: Lab-Scaled Industrial Web Handling System for Vision Evaluation and Detection of Wrinkles Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20523

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