Force prediction models in ball end milling of freeform surfaces
![](/themes/Miragemashinery//images/openAccess.png)
2023
Conference object (Published version)
![](/themes/Miragemashinery//images/creativecommons/arr.png)
University of Belgrade – Faculty of Mechanical Engineering
Metadata
Show full item recordAbstract
Simulating the process of NC milling of freeform surfaces is of fundamental importance in computer aided manufacturing (CAM). In order to accurately predict cutting force in sculptured surface machining with ball end mill, tool posture, cutting edge, contact state between cutter, and workpiece are studied. Cutting force prediction is very important to optimize machining parameters, monitor the machining state and to reduce the possibility of tool breakage. In order to predict the cutting force of surface machining with a ball end mill, different materials and geometry of the tool/workpiece are studied. In this paper, the state of the art is presented in the field of force prediction in ball end milling and the advantages of different methods for determining the cutter-workpiece engagement. The research for cutter-workpiece engagement (CWE) under different cutting conditions is mainly divided into three types: solid modeling, discrete representation, and analytical methods. The resultin...g surface quality after machining with a ball end cutter is of great importance because finished milling is often the last process step determining the functional performance of a component.
Keywords:
Cutting force / ball-end milling / freeform surfaces / CAD/CAM / cutter-workpiece engagementSource:
7th International Conference of Experimental and Numerical Investigations and New Technologies – CNN TECH 2023, The Book Of Abstracts, Zlatibor, July 04- July 07, 2023, 64-64Publisher:
- University of Belgrade – Faculty of Mechanical Engineering
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200105 (University of Belgrade, Faculty of Mechanical Engineering) (RS-MESTD-inst-2020-200105)
Collections
Institution/Community
Mašinski fakultetTY - CONF AU - Stojanović, Jagoš AU - Mladenović, Goran AU - Tanasković, Jovan AU - Pjević, Miloš PY - 2023 UR - https://machinery.mas.bg.ac.rs/handle/123456789/6904 AB - Simulating the process of NC milling of freeform surfaces is of fundamental importance in computer aided manufacturing (CAM). In order to accurately predict cutting force in sculptured surface machining with ball end mill, tool posture, cutting edge, contact state between cutter, and workpiece are studied. Cutting force prediction is very important to optimize machining parameters, monitor the machining state and to reduce the possibility of tool breakage. In order to predict the cutting force of surface machining with a ball end mill, different materials and geometry of the tool/workpiece are studied. In this paper, the state of the art is presented in the field of force prediction in ball end milling and the advantages of different methods for determining the cutter-workpiece engagement. The research for cutter-workpiece engagement (CWE) under different cutting conditions is mainly divided into three types: solid modeling, discrete representation, and analytical methods. The resulting surface quality after machining with a ball end cutter is of great importance because finished milling is often the last process step determining the functional performance of a component. PB - University of Belgrade – Faculty of Mechanical Engineering C3 - 7th International Conference of Experimental and Numerical Investigations and New Technologies – CNN TECH 2023, The Book Of Abstracts, Zlatibor, July 04- July 07 T1 - Force prediction models in ball end milling of freeform surfaces EP - 64 SP - 64 UR - https://hdl.handle.net/21.15107/rcub_machinery_6904 ER -
@conference{ author = "Stojanović, Jagoš and Mladenović, Goran and Tanasković, Jovan and Pjević, Miloš", year = "2023", abstract = "Simulating the process of NC milling of freeform surfaces is of fundamental importance in computer aided manufacturing (CAM). In order to accurately predict cutting force in sculptured surface machining with ball end mill, tool posture, cutting edge, contact state between cutter, and workpiece are studied. Cutting force prediction is very important to optimize machining parameters, monitor the machining state and to reduce the possibility of tool breakage. In order to predict the cutting force of surface machining with a ball end mill, different materials and geometry of the tool/workpiece are studied. In this paper, the state of the art is presented in the field of force prediction in ball end milling and the advantages of different methods for determining the cutter-workpiece engagement. The research for cutter-workpiece engagement (CWE) under different cutting conditions is mainly divided into three types: solid modeling, discrete representation, and analytical methods. The resulting surface quality after machining with a ball end cutter is of great importance because finished milling is often the last process step determining the functional performance of a component.", publisher = "University of Belgrade – Faculty of Mechanical Engineering", journal = "7th International Conference of Experimental and Numerical Investigations and New Technologies – CNN TECH 2023, The Book Of Abstracts, Zlatibor, July 04- July 07", title = "Force prediction models in ball end milling of freeform surfaces", pages = "64-64", url = "https://hdl.handle.net/21.15107/rcub_machinery_6904" }
Stojanović, J., Mladenović, G., Tanasković, J.,& Pjević, M.. (2023). Force prediction models in ball end milling of freeform surfaces. in 7th International Conference of Experimental and Numerical Investigations and New Technologies – CNN TECH 2023, The Book Of Abstracts, Zlatibor, July 04- July 07 University of Belgrade – Faculty of Mechanical Engineering., 64-64. https://hdl.handle.net/21.15107/rcub_machinery_6904
Stojanović J, Mladenović G, Tanasković J, Pjević M. Force prediction models in ball end milling of freeform surfaces. in 7th International Conference of Experimental and Numerical Investigations and New Technologies – CNN TECH 2023, The Book Of Abstracts, Zlatibor, July 04- July 07. 2023;:64-64. https://hdl.handle.net/21.15107/rcub_machinery_6904 .
Stojanović, Jagoš, Mladenović, Goran, Tanasković, Jovan, Pjević, Miloš, "Force prediction models in ball end milling of freeform surfaces" in 7th International Conference of Experimental and Numerical Investigations and New Technologies – CNN TECH 2023, The Book Of Abstracts, Zlatibor, July 04- July 07 (2023):64-64, https://hdl.handle.net/21.15107/rcub_machinery_6904 .