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Implementation And Assessment Of Knowledge Based Systems In Various Engineering Courses

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Conference

2003 Annual Conference

Location

Nashville, Tennessee

Publication Date

June 22, 2003

Start Date

June 22, 2003

End Date

June 25, 2003

ISSN

2153-5965

Conference Session

ASEE Multimedia Session

Page Count

13

Page Numbers

8.657.1 - 8.657.13

DOI

10.18260/1-2--12187

Permanent URL

https://peer.asee.org/12187

Download Count

334

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Paper Authors

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Serdar Tumkor

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Ali Sekmen

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Recayi Pecen

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Ayhan Zora

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Ismail Fidan

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

Session 4560

Implementation and Assessment of Knowledge Based Systems In Various Engineering Courses

Ismail Fidan1, Serdar Tumkor2, Ali Sekmen3, Recayi Pecen4, Ayhan Zora4

1 Tennessee Tech University, Cookeville, TN 38505/2Istanbul Technical University Gumussuyu, Istanbul, Turkey/3Tennessee State University, Nashville, TN 37209/ 4 The University of Northern Iowa, Cedar Falls, IA 50614

Abstract

Knowledge-Based Systems (KBS), which mimic human problem solving expertise in computerized form, have been widely used in many manufacturing processes for planning and decision-making purposes. These “expert systems” help a wide range of students be more productive by enabling them to access to the collective experience and proven techniques in their field. This paper reports the following developed systems and their implementations: • Hydraulics Circuits Design and Assembly • Soldering Process Design • Machining (i.e.: Turning, Drilling, Milling, Broaching, Shaping, Grinding) Process Design. • Bearing Selection • Hot Forging Design The elements involved in hydraulic system design are the component selectors, power and force calculator, and flow, pump, motor, and cylinder calculators. Soldering includes laser soldering and its implementation within a modular software tool created. Knowledge base of machining contains algorithms and decision tables for selecting the proper cutting tool and machining parameters. Features of a required bearing for a shaft assembly are selected via an online bearing selection tool developed by the authors. Hot forging part and process design tool

“Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education”

Tumkor, S., & Sekmen, A., & Pecen, R., & Zora, A., & Fidan, I. (2003, June), Implementation And Assessment Of Knowledge Based Systems In Various Engineering Courses Paper presented at 2003 Annual Conference, Nashville, Tennessee. 10.18260/1-2--12187

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