Artificial intelligence based system to improve the inspection of plastic mould surfaces

André. F. H. Librantz (), Sidnei A. Araújo, Wonder A. L. Alves, Peterson A. Belan, Rafael A. Mesquita and Antonio H. P. Selvatici
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André. F. H. Librantz: Nove de Julho University - UNINOVE
Sidnei A. Araújo: Nove de Julho University - UNINOVE
Wonder A. L. Alves: Nove de Julho University - UNINOVE
Peterson A. Belan: Nove de Julho University - UNINOVE
Rafael A. Mesquita: Nove de Julho University - UNINOVE
Antonio H. P. Selvatici: Nove de Julho University - UNINOVE

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 1, No 14, 190 pages

Abstract: Abstract Plastic industry is today in a constant growth, demanding several products from other segments, which includes the plastic moulds, used mainly in the injection moulding process. This paper presents a methodology for the surface evaluation of plastic moulds, aiming the automation of the polishing surface analysis. Provided that this type of analysis by traditional procedures can be slow and expensive, the development of automatic system could lead to considerable improvements regarding the speed and reliability of information. The starting point of the evaluation procedure is the image generated by the laser light scattered over the sample mould surface that could be captured and analysed by image processing and artificial intelligence techniques. The results showed that the proposed system is able to mapping and classifying several damages over the polished surface and could be an alternative to reduce efficiently the costs and the spending time in mould surface inspection tasks.

Keywords: Artificial intelligence; Mould surface; Quality control; Computer vision; Plastic injection (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10845-014-0969-5

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