In-situ and in-process monitoring of optical glass grinding process based on image processing technique View Full Text


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Article Info

DATE

2017-07-12

AUTHORS

Yong Jie Zhao, Hao Nan Li, Ke Chen Song, Yun Hui Yan

ABSTRACT

Optical glass K9 is a key kind of materials in many industries, and grinding process of it is usually employed as the main rough machining technique. However, most previous observations have been performed either ex-situ after grinding operations or in-situ but by human raw eyes, therefore cannot satisfy the new paradigm of Industry 4.0. In this paper, an in-situ and in-process observation and evaluation methodology of machined surfaces in K9 grinding is attempted to be proposed, which is based on image processing techniques and therefore enables the automation of the observation and evaluation processes. Grinding trials proved that the method could output accurate evaluation results, and the method performance is stable even for the ground K9 surface images with wide ranges of characteristics. Because the method could in-situ and in-process observe a fixed spot on the ground surfaces, more in-depth understandings of K9 grinding mechanism are gained. More importantly, the method could quantify the ductile/brittle region area and area proportions, based on which, the proposed method could be utilized not only to automatically in-situ and in-process monitor the grinding performance but also to optimize or provide suggestions for the future intelligent or smart manufacturing of K9. More... »

PAGES

3017-3031

References to SciGraph publications

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  • 1975-06. Indentation fracture: principles and applications in JOURNAL OF MATERIALS SCIENCE
  • 2016-03-14. Prediction of grinding force for brittle materials considering co-existing of ductility and brittleness in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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  • 2012-07-25. Automated inspection of engineering ceramic grinding surface damage based on image recognition in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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  • 1998-11. Feature Detection with Automatic Scale Selection in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2017-09. Analytical modeling of ground surface topography in monocrystalline silicon grinding considering the ductile-regime effect in ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
  • 2006-03-21. Image processing of the grinding wheel surface in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2013-03-27. A numerical model for optical glass cutting based on SPH method in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2015-05-30. Modeling and simulation of grinding wheel by discrete element method and experimental validation in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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    http://scigraph.springernature.com/pub.10.1007/s00170-017-0743-x

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