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Your search keyword '"automated inspection"' showing total 4 results
Start Over Descriptor "automated inspection" Publisher elsevier
4 results on '"automated inspection"'

1. Design for automated inspection in remanufacturing: A discrete event simulation for process improvement

Author

Chigozie Enyinna Nwankpa, Winifred Ijomah, and Anthony Gachagan

Subjects
Remanufacturing, Inspection, Remanufacturing inspection, Automated inspection, Design for inspection, Renewable energy sources, TJ807-830, Environmental engineering, TA170-171
Abstract

Remanufacturing is a process of restoring end-of-life (Eol) products to “as new” condition with a matching warranty. It offers significant economic benefits to remanufacturers as well as providing enormous environmental and social benefits. However, achieving remanufacturing is complex and uncertain due to varying product return quantity and quality. These uncertainties call for proper assessment of returned Eol products to extract the most value from them. The evaluation involves inspecting the Eol products on arrival for remanufacturing, thereby making the most appropriate Eol decisions. These decisions are made by expert personnel by visually assess these products manually or using semi-automated techniques. However, the accuracy of these decisions is subjective, time-consuming, and prone to missing defects. The need to develop processes and tools for efficient, reliable, and repeatable inspection in remanufacturing becomes inevitable. Automated inspection becomes handy to improve the assessment of these defects as well as saving time. This paper proposes design-for-inspection as a tool to enhance remanufacturing. A discrete event simulation of this model for the torque converter remanufacturing process is presented and highlights the benefits of automating the remanufacturing inspection process. It further suggests the design improvements to obtain an enhanced automated inspection.

Published
2021
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2. Visual Measurement of Material Segregation in Steel Wires

Author

Červinka, Luděk, Horák, Karel, Červinka, Luděk, and Horák, Karel

Abstract

In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth., In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth.

Published
2014

3. Visual Measurement of Material Segregation in Steel Wires

Abstract

In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth., In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth.

Published
2014

4. Visual Measurement of Material Segregation in Steel Wires

Abstract

In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth., In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth.

Published
2014

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