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Remote Quality Control Integrated With Internet Based Robotic Systems

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Conference

2007 Annual Conference & Exposition

Location

Honolulu, Hawaii

Publication Date

June 24, 2007

Start Date

June 24, 2007

End Date

June 27, 2007

ISSN

2153-5965

Conference Session

Technology Integration in the Classroom for Manufacturing I

Tagged Division

Manufacturing

Page Count

17

Page Numbers

12.1236.1 - 12.1236.17

Permanent URL

https://peer.asee.org/2080

Download Count

44

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Paper Authors

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Yongjin Kwon Drexel University

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Shreepud Rauniar Drexel University

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Richard Chiou Drexel University

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Horacio Sosa Drexel University

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Remote Quality Control Integrated with Internet-based Robotic Systems Abstract

The current trends in industry include an integration of information and knowledge base network with a manufacturing system, which coined a new term, e-manufacturing. From the perspective of e-manufacturing, any production equipment and its control functions do not exist alone, instead becoming a part of the holistic operation system with distant monitoring, remote quality control and fault diagnostic capabilities. The key to this new paradigm is the accessibility to a remotely located system and having the means of responding to a rapidly changing environment. In this context, this paper presents innovative methods in remote part tracking and quality control using the Ethernet SmartImage Sensor and the Internet controllable Yamaha SCARA robot. The accuracy of the proposed scheme has been verified and subsequent quality control functions have been integrated, which vindicate the industrial applicability of the setup. The paper also discusses some of the online experiments conducted by the students and presents the evaluation outcomes. The experiment results suggest that online laboratory learning can be substantially enhanced by the use of even the simplest form of artificial graphical information and most students prefer having an instructor present even the lab is taught online. The implications from this study can be used to benefit many schools that begun offering online lab courses.

I. Introduction

A current trend for manufacturing industry is shorter product life cycle, remote monitoring/control/diagnosis, product miniaturization, high precision, zero-defect manufacturing and information-integrated distributed production systems for enhanced efficiency and product quality1-6. In tomorrow’s factory, design, manufacturing, quality, and business functions will be fully integrated with the information management networks7-9. This new paradigm is coined with the term, e-manufacturing. In short, ‘‘E-manufacturing is a system methodology that enables the manufacturing operations to successfully integrate with the functional objectives of an enterprise through the use of Internet, tether-free (wireless, web, etc.) and predictive technologies10, 11’’. Other characteristics may include emergence, intelligence, non-deterministic, complexity, and self-organization in the enterprise system12. One of the enabling tools to realize the e- manufacturing is the ability to predict the variations and performance loss11. Therefore, Internet- based gauging, measurement, inspection, diagnostic system, and quality control have become critical issues in the integration with e-manufacturing systems and management10, 11.

For manufacturing industry, the current emphasis on quality, reliability and the competitive state of the international/domestic markets have resulted in both greater visibility and increased responsibility for quality and inspection13. According to the white papers from the American Society for Quality and the U.S. Department of Labor, 2004-2005 Edition on Bureau of Labor Statistics14, 15, increased emphasis has been placed on quality control in manufacturing, while inspection is more fully into production processes than in the past 16, 17. The recent progress in developing new, automated production and measuring instrument has led to the 100 % real-time inspection, where critical dimensions are measured and verified while parts are being produced18-25.

Kwon, Y., & Rauniar, S., & Chiou, R., & Sosa, H. (2007, June), Remote Quality Control Integrated With Internet Based Robotic Systems Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii. https://peer.asee.org/2080

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