A review on machinability in the milling processes

• Autorzy: Demirpolat Havva , Kuntoğlu Mustafa , Binali Rüstem

Identyfikatory

DOI

0.57223/spies.2023.1.1.05

• Języki publikacji: EN

Abstrakty

EN

This review paper focuses on the up-to-date machinability characteristics of milling processes such as cutting forces, surface roughness and tool wear and their impacts on the cutting mechanism. The methodology pur-sued in this paper is to analyze the previous research articles published between 2019–2022 classifying them into the subcategoriesthat usemill-ing operation as manufacturing strategy. As known, milling is one of the most used machining processes in industry and often applied for academic studiesforawide range of materials. Therefore, used sensor systems, main aim and the preferred methodology were summarized in the context of this paper. Seemingly, a great number of machinability papers have been published recently which focuses on the several types of engineering ma-terials and utilized various types of sensor system to improve the surface roughness and tool life. In addition, the investigation showed that optimi-zation approaches have been applied broadly to detect the best machining conditions. Also, it was observed that several modeling approaches such as finite element analysis is a good alternative to analyze the process.

Słowa kluczowe

EN

milling process; cutting force; surface roughness; tool wear

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Sustainable Production, Instrumentation and Engineering Sciences
• Rocznik: 2023
• Tom: vol. 1, nr 1
• Strony: 27--36
• Opis fizyczny: Bibliogr. 53 poz., rys., tab.

Twórcy

autor

Demirpolat Havva

• Selcuk University, Technology Faculty, Mechanical Engineering Department, Konya, 42130, Turkey

• https://orcid.org/0000-0002-2981-9867

autor

Kuntoğlu Mustafa

• Selcuk University, Technology Faculty, Mechanical Engineering Department, Konya, 42130, Turkey

• https://orcid.org/0000-0002-7291-9468

autor

Binali Rüstem

• Selcuk University, Technology Faculty, Mechanical Engineering Department, Konya, 42130, Turkey

• https://orcid.org/0000-0003-0775-3817

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).