Methods of Computational Intelligence in the Context of Quality Assurance in Foundry Products
Open accessAbstract
One way to ensure the required technical characteristics of castings is the strict control of production parameters affecting the quality of the finished products. If the production process is improperly configured, the resulting defects in castings lead to huge losses. Therefore, from the point of view of economics, it is advisable to use the methods of computational intelligence in the field of quality assurance and adjustment of parameters of future production. At the same time, the development of knowledge in the field of metallurgy, aimed to raise the technical level and efficiency of the manufacture of foundry products, should be followed by the development of information systems to support production processes in order to improve their effectiveness and compliance with the increasingly more stringent requirements of ergonomics, occupational safety, environmental protection and quality. This article is a presentation of artificial intelligence methods used in practical applications related to quality assurance. The problem of control of the production process involves the use of tools such as the induction of decision trees, fuzzy logic, rough set theory, artificial neural networks or case-based reasoning.
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Digital sensors are employed in reuse in metal forming, manufacturing industry, virtual engineering objects, and CAx systems within aerospace.
“In the reuse circular approach, digital sensors are seen to be employed in metal forming [130], in the manufacturing industry [131], for virtual engineering objects [132], and for computer aided technologies (CAx) systems within the aerospace industry [133].”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [130]
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Self-citation
- Authors
- Rojek, G., Regulski, K., Wilk-Kołodziejczyk, D., Kluska-Nawarecka, S., Jaśkowiec, K., & Smolarek-Grzyb, A.
- Affiliations
- AGH University of Krakow (PL)
- City of Prague (CZ)
- Venue
- Archives of Foundry Engineering
- Publisher
- Walter de Gruyter GmbH
- Published
- 2016-06-01
- Volume
- 16
- Issue
- 2
- Pages
- 11-16
- ISSN
- 1897-3310 (ISSN-L)
- 2299-2944
- OpenAlex
- W2461141070
- Cited by
- 8
- References
- 30
- Citations by year
- 2024: 1 · 2022: 2 · 2020: 1 · 2018: 4
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Archives of Foundry Engineering (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Narodowe Centrum Badań i Rozwoju
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Technology and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Diverse Industrial Engineering Technologies
- Keywords
- computational intelligence, casting defects, decision tree induction, fuzzy logic, rough set theory, artificial neural networks, case-based reasoning, production process control
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