Thesis: M. Eng. in Manufacturing, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. / Cataloged from PDF version of thesis. / Includes bibliographical references (pages 78-80). / Inspection is the formal examination of a product manufactured by any manufacturing process. Inspection process is critical to all the industries as it ensures that a good quality product reach at the end customers. In order to ensure minimum variation in the quality of inspection of a product, industries rely on advanced equipment or gauge to measure the quality parameters of the product. The accuracy of inspection depends a lot on the method and equipments used to inspect a product. However, at AvCarb material solutions, a product called pyrolytic graphite sheet (PGS) is manufactured and at present the types of defects that occur during their manufacturing process can only be identified visually. The problem with using human senses as a tool to perform an inspection is that the accuracy and speed of the inspection vary from person to person based on their experience, their state of mind and other human factors. Automating a visual inspection system ensures minimum variation in the accuracy and speed of an inspection process. This thesis proposes the use of the automatic vision system to perform visual inspection of PGS. The document presents how some software tools can be used to identify and quantify the defects generated on PGS and gives a comparison of the accuracy of identifying a defect through the automatic vision system and accuracy achieved through human inspection. / by Yugank Chawla. / M. Eng. in Manufacturing
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/93843 |
| Date | January 2014 |
| Creators | Chawla, Yugank |
| Contributors | David E. Hardt., Massachusetts Institute of Technology. Department of Mechanical Engineering., Massachusetts Institute of Technology. Department of Mechanical Engineering. |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 80 pages, application/pdf |
| Rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission., http://dspace.mit.edu/handle/1721.1/7582 |
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