Analytical Modeling Methods in Machining: A State of the Art on Application, Recent Challenges, and Future Trends     
Yazarlar (8)
Mehmet Erdi Korkmaz
Karabük Üniversitesi, Türkiye
Munish Kumar Gupta
Opole University Of Technology, Polonya
Murat Sarıkaya
Sinop Üniversitesi, Türkiye
Prof. Dr. Mustafa GÜNAY Karabük Üniversitesi, Türkiye
Doç. Dr. Mehmet BOY Karabük Üniversitesi, Türkiye
Nafiz Yaşar
Kütahya Dumlupınar Üniversitesi, Türkiye
Doç. Dr. Recep DEMİRSÖZ Karabük Üniversitesi, Türkiye
Doç. Dr. Fatih PEHLİVAN Karabük Üniversitesi, Türkiye
Makale Türü Açık Erişim Diğer (Teknik, not, yorum, vaka takdimi, editöre mektup, özet, kitap krıtiği, araştırma notu, bilirkişi raporu ve benzeri)
Makale Alt Türü SCI, SSCI, AHCI, SCI-Exp dergilerinde yayınlanan teknik not, editöre mektup, tartışma, vaka takdimi ve özet türünden makale
Dergi Adı Arabian Journal for Science and Engineering
Dergi ISSN 2193-567X Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q2
Makale Dili Türkçe
Basım Tarihi 06-2024
Cilt No 49
Sayı 8
Sayfalar 10287 / 10326
DOI Numarası 10.1007/s13369-024-09163-7
Makale Linki 10.1007/s13369-024-09163-7
Özet
Information technology applications are crucial to the proper utilization of manufacturing equipment in the new industrial age, i.e., Industry 4.0. There are certain fundamental conditions that users must meet to adapt the manufacturing processes to Industry 4.0. For this, as in the past, there is a major need for modeling and simulation tools in this industrial age. In the creation of industry-driven predictive models for machining processes, substantial progress has recently been made. This paper includes a comprehensive review of predictive performance models for machining (particularly analytical models), as well as a list of existing models' strengths and drawbacks. It contains a review of available modeling tools, as well as their usability and/or limits in the monitoring of industrial machining operations. The goal of process models is to forecast principal variables such as stress, strain, force, and temperature. These …
Anahtar Kelimeler
Analytical modeling | Chip formation | Cutting force | Machining | Modeling approaches