Cutting force prediction in ball-end milling of Ni-Ti alloy
Authors:
- M. Kowalczyk
Abstract
This paper presents a statistical model for prediction cutting components force in the ball-end milling of NiTi shape memory alloy (Nitinol). In experiment a ball-end mill (EB-A2 03-04C06E48) was used and a dynamometer Kistler was used for the measurement of cutting forces components. The research trials were conducted for two independent parameters (vc, fz,) affecting the cutting force in milling process. The choice of parameter configurations was performed by factorial design methods using orthogonal plan type L9, with two control factors, changing on three levels, developed by G. Taguchi. The model for the mathematical prediction of cutting force was developed in terms of feed per tooth and cutting speed. The computational model enabled to select optimal machining parameters for minimizing cutting forces values.
- Record ID
- CUTafe538d9399741c492898a3d0696014d
- Publication categories
- ; ;
- Author
- Pages
- [1-12]
- Other elements of collation
- tab.; rys.; schem.; Bibliografia (na s.) - 11-12; Bibliografia (liczba pozycji) - 26; Oznaczenie streszczenia - Abstr.
- Book
- Romaniuk Ryszard S., Ryszard S. Romaniuk Linczuk Maciej Maciej Linczuk (eds.): Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 26 May - 2 June 2019, Wilga, Poland, Proceedings of SPIE: The International Society for Optical Engineering, no. 11176, 2019, Washington, SPIE - The International Society for Optics and Photonics, Society of Photo-Optical Instrumentation Engineers (SPIE), 12 p.
- Keywords in English
- NiTi Shape Memory Alloy, precise milling, Taguchi, cutting force
- DOI
- DOI:10.1117/12.2536757 Opening in a new tab
- URL
- https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11176/1117650/Cutting-force-prediction-in-ball-end-milling-of-Ni-Ti/10.1117/12.2536757.short Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Publication indicators
- = 3
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTafe538d9399741c492898a3d0696014d/
- URN
urn:pkr-prod:CUTafe538d9399741c492898a3d0696014d
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.