Development of a decision support system for the determination of nontraditional manufacturing process parameters using image processing techniques

Kargın L., Tansel İç Y., Sümer E., Yurdakul M.

International Journal of Computer Integrated Manufacturing, 2025 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1080/0951192x.2025.2600028
  • Dergi Adı: International Journal of Computer Integrated Manufacturing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: artificial intelligence applications in manufacturing, electrochemical drilling process, image processing, Nontraditional manufacturing processes
  • Gazi Üniversitesi Adresli: Evet

Özet

An image processing pipeline is proposed in this paper to determine electrochemical drilling (ECD) process parameters that yield better response values, such as hmax, hideal, and surface roughness. To achieve this, images of the drilled holes obtained via electrochemical drilling were processed using image processing techniques within the developed decision support system (DSS). Furthermore, the DSS was structured to provide processing parameter values for other non-traditional manufacturing processes (NTMPs) in the future by uploading process-specific photographs to the DSS database. Finally, the DSS was developed using the Python language, and its usability was demonstrated through an application study.