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Improving Maraging Steel 350 Machinability via Wiper Insert-Enhanced Face Milling

Abbas, Adel T. ; Helmy, Mohamed O. ; Alqosaibi, Khalid F.; Parvez, Shahid; Hasan, Ali S.; Elkaseer, Ahmed 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

Despite the prevalent application of 18% Ni maraging steel in critical sectors such as aerospace and automotive due to its unique characteristics, including high ductility, yield strength, and hardenability, its machining presents enormous challenges, categorizing it as a difficult-to-machine material. The cutting tool’s geometry is crucial in machining, significantly affecting chip formation, cutting forces, power consumption, and obtainable surface quality. In particular, wiper insert technology, characterized by its multi-radius design, offers an increased contact area compared to conventional inserts, potentially enhancing the quality of the machined surface. This study explores the effectiveness of wiper inserts in the face-milling of maraging steel 350, conducting a comparative analysis across three distinct machining setups. These setups vary by alternating the number of wiper and conventional inserts within the same cutter, thereby examining the influence of insert configuration on machining outcomes. The research employs a reliable and well-established statistical approach to evaluate how different variables, such as cutting speed and feed rate, affect surface quality, power consumption, and material removal rate (MRR). ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000176845
Veröffentlicht am 02.12.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2075-4701
KITopen-ID: 1000176845
Erschienen in Metals
Verlag MDPI
Band 14
Heft 5
Seiten Art.-Nr.: 514
Vorab online veröffentlicht am 28.04.2024
Schlagwörter maraging steel; wiper insert; surface quality; power consumption; productivity; grey relational analysis
Nachgewiesen in Scopus
Dimensions
Web of Science
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