AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm.

Izabela Rojek, Ewa Dostatni, Jakub Kopowski, Marek Macko, Dariusz Mikołajewski
Author Information
  1. Izabela Rojek: Institute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland. ORCID
  2. Ewa Dostatni: Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznan, Poland. ORCID
  3. Jakub Kopowski: Institute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland. ORCID
  4. Marek Macko: Faculty of Mechatronics, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland. ORCID
  5. Dariusz Mikołajewski: Institute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland. ORCID

Abstract

Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its potential in the fourth technological revolution (Industry 4.0), demonstrating remarkable applications in manufacturing, including of medical devices. The aim of this publication is to present the novel concept of support by artificial intelligence (AI) for quality control of AM of medical devices made of polymeric materials, based on the example of our own elbow exoskeleton. The methodology of the above-mentioned inspection process differs depending on the intended application of 3D printing as well as 3D scanning or reverse engineering. The use of artificial intelligence increases the versatility of this process, allowing it to be adapted to specific needs. This brings not only innovative scientific and technological solutions, but also a significant economic and social impact through faster operation, greater efficiency, and cost savings. The article also indicates the limitations and directions for the further development of the proposed solution.

Keywords

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Grants

  1. The work presented in the paper has been co-financed under grant to maintain the research poten-tial of Kazimierz Wielki University and grant no. 0613/SBAD/4710./The work presented in the paper has been co-financed under grant to maintain the research poten-tial of Kazimierz Wielki University and grant no. 0613/SBAD/4710.

MeSH Term

Artificial Intelligence
Printing, Three-Dimensional
Industry
Technology
Polymers

Chemicals

Polymers

Word Cloud

Created with Highcharts 10.0.03DprintingalsomedicaldevicesartificialintelligenceprocessmanufacturingAMtechnologicalIndustry40exoskeletonThree-dimensionalknownadditivealreadyshownpotentialfourthrevolutiondemonstratingremarkableapplicationsincludingaimpublicationpresentnovelconceptsupportAIqualitycontrolmadepolymericmaterialsbasedexampleelbowmethodologyabove-mentionedinspectiondiffersdependingintendedapplicationwellscanningreverseengineeringuseincreasesversatilityallowingadaptedspecificneedsbringsinnovativescientificsolutionssignificanteconomicsocialimpactfasteroperationgreaterefficiencycostsavingsarticleindicateslimitationsdirectionsdevelopmentproposedsolutionAI-BasedSupportSystemMonitoringQualityProductwithinParadigmIndustrialInternetThingsmonitoringproductionoptimization

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