Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Smart-Cast: An AI-Based System for Semisolid Casting Process Control
Jönköping University, School of Engineering, JTH, Materials and Manufacturing. Comptech i Skillingaryd AB, P.O. Box 28, Skillingaryd, 568 31, Sweden.ORCID iD: 0009-0003-3355-3146
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.ORCID iD: 0000-0002-0101-0062
Comptech i Skillingaryd AB, P.O. Box 28, Skillingaryd, 568 31, Sweden.
Show others and affiliations
2024 (English)In: Procedia Computer Science, E-ISSN 1877-0509, Vol. 232, p. 2440-2447Article in journal (Refereed) Published
Abstract [en]

To satisfy the rising demand for higher product quality and giga-casting requirements, the casting process is undergoing significant changes. However, current control methods rely significantly on human expertise and experience, making process availability and stability difficult to ensure. The semisolid casting process is more complicated than conventional liquid casting due to the additional casting parameters incorporated during the slurry preparation, which can have an effect on the quality of the final product. Therefore, an efficient tool is required to simplify the complete process of semisolid casting. The introduction of an AI system to aid in the supervision of the casting manufacturing procedure is one potential solution. This paper introduces a new casting system named”Smart-Cast” developed for this specific purpose. The paper describes the functions of the system and its current development process. Using an AI system as an assistant can help to achieve the goal of enhancing the efficacy of casting process control, and it can also help foundries step into the Industry 4.0 era.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 232, p. 2440-2447
Keywords [en]
AI system, Industry 4.0, Process control, Semisolid casting, Smart manufacturing system
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:hj:diva-64007DOI: 10.1016/j.procs.2024.02.063Scopus ID: 2-s2.0-85189767838Local ID: HOA;;947156OAI: oai:DiVA.org:hj-64007DiVA, id: diva2:1851656
Conference
5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 Lisbon 22 November 2023 through 24 November 2023
Available from: 2024-04-15 Created: 2024-04-15 Last updated: 2024-09-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Li, ZiyuTan, HeJarfors, Anders E.W.Lattanzi, Lucia

Search in DiVA

By author/editor
Li, ZiyuTan, HeJarfors, Anders E.W.Lattanzi, Lucia
By organisation
JTH, Materials and ManufacturingJönköping AI Lab (JAIL)
In the same journal
Procedia Computer Science
Materials Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 131 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf