Optimization of cutting data and tool inclination angles during hard milling with CBN tools, based on force predictions and surface roughness measurements
Authors:
- Andrzej Matras,
- Wojciech Zębala
Abstract
This work deals with technological considerations required to optimize the cutting data and tool path pattern for finishing the milling of free-form surfaces made of steel in a hardened state. In terms of technological considerations, factors such as feed rate, workpiece geometry, tool inclination angles (lead and tilt angles) and surface roughness are taken into account. The proposed method is based on calculations of the cutting force components and surface roughness measurements. A case study presented in the paper is based on the AISI H13 steel, with hardness 50 HRC and milling with a cubic boron nitride (CBN) tool. The results of the research showed that by modifications of the feed value based on the currently machined cross-sectional area, it is possible to control the cutting force components and surface roughness. During the process optimization, the 9% and 15% increase in the machining process efficiency and the required surface roughness were obtained according to the tool inclination angle and feed rate optimization procedure, respectively.
- Record ID
- CUT28175e42bf914c9095aea651d12e067c
- Publication categories
- ;
- Author
- Journal series
- Materials, ISSN , e-ISSN 1996-1944, Biweekly
- Issue year
- 2020
- Vol
- 13
- No
- 5
- Pages
- [1-22]
- Article number
- 1109
- Other elements of collation
- rys.; schem.; tab.; wykr.; Bibliografia (na s.) - 21-22; Bibliografia (liczba pozycji) - 33; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 13, Iss. 5, Spec. Iss.
- Substantive notes
- Tyt. spec. iss.: Optimization and simulation in alloy cutting processes
- Keywords in English
- optimization, cutting strategy, hard milling, free-form surface milling, CBN tools
- DOI
- DOI:10.3390/ma13051109 Opening in a new tab
- URL
- https://www.mdpi.com/1996-1944/13/5/1109 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT28175e42bf914c9095aea651d12e067c/
- URN
urn:pkr-prod:CUT28175e42bf914c9095aea651d12e067c
* 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.