Current Research
Automated Steel Sheet Evaluation
Principal investigator:
Graduate Student(s):
Sree Harsha
Rohit Parvataneni
Bhanu Singh
Sponsor(s):
Nippon Steel Corporation, Japan
Brief Abstract:
This research aims at developing new systems and methods to evaluate the quality of the zinc coated steel sheets used in the automotive industry. The CU-ICAR team have developed novel imaging techniques capable of scanning steel sheets, in real-time and contactless fashion. Also new processing codes are developed to quantify and locate acquired images based on self-calibrating algorithms.
Impact:
This research reduces the cost of scrap and improves the product/process reliability, in addition it enables a 100% quality check and detects any defectives at the source.
The quality of zinc coated steel sheets affects the customer perception of the total vehicle quality and surface finish.
Project Schedule:
Phase 1 Completed in 2009
Phase 2 To be completed in 2010
Publications:
Omar, M.A., Zhou, Y., “Automotive production control using thermal vision modalities” SAE Intl. J. Mater. Manuf. 1,1, 279-284 (2009)
Omar, M.A., Zhou, Y., Nakagawa, J.” Quantitative review of three flash thermography processing routines” Journal of Infrared Physics, 51, issue 4, 300-306, (2008)
Preliminary Results:
New scanning prototype developed and tested under laboratory conditions.New processing subroutines for self-calibration and data compression.
