The ultimate goal of future manufacturing is to design, test, and manufacture parts in a virtual environment before they are sent to the shop floor. While Part I of this paper presents the modeling of process simulation in a virtual environment, this second part presents computationally efficient algorithms for optimal selection of depth of cut, width of cut, speed, and feed while considering process constraints and variation of the part geometry along the tool path. The objective function is selected as the material removal rate (MRR), and optimization of milling processes is based on user defined constraints, such as maximum tool deflection, torque/power demand, and chatter stability. The MRR is maximized by optimal selection of cutting speed, feed rate, depth, and width of cut. Two alternative optimization strategies are presented. Preprocess optimization provides allowable depth and width of cut during part programming at the computer aided manufacturing stage using chatter constraint, whereas the postprocess optimization tunes only feed rate and spindle speed of an existing part program to maximize productivity without violating torque, power, and tool deflection limits. Optimized feed rates are filtered by considering machine tool axis limitations, and the algorithms are tested in machining a helicopter gear box cover.
Skip Nav Destination
e-mail: dmerdol@mech.ubc.ca
e-mail: altintas@mech.ubc.ca
Article navigation
October 2008
Research Papers
Virtual Simulation and Optimization of Milling Applications—Part II: Optimization and Feedrate Scheduling
S. Doruk Merdol,
S. Doruk Merdol
Manufacturing Automation Laboratory, Department of Mechanical Engineering,
e-mail: dmerdol@mech.ubc.ca
The University of British Columbia
, 6250 Applied Science Lane, Vancouver, BC, V6T 1Z4, Canada
Search for other works by this author on:
Yusuf Altintas
Yusuf Altintas
Manufacturing Automation Laboratory, Department of Mechanical Engineering,
e-mail: altintas@mech.ubc.ca
The University of British Columbia
, 6250 Applied Science Lane, Vancouver, BC, V6T 1Z4, Canada
Search for other works by this author on:
S. Doruk Merdol
Manufacturing Automation Laboratory, Department of Mechanical Engineering,
The University of British Columbia
, 6250 Applied Science Lane, Vancouver, BC, V6T 1Z4, Canadae-mail: dmerdol@mech.ubc.ca
Yusuf Altintas
Manufacturing Automation Laboratory, Department of Mechanical Engineering,
The University of British Columbia
, 6250 Applied Science Lane, Vancouver, BC, V6T 1Z4, Canadae-mail: altintas@mech.ubc.ca
J. Manuf. Sci. Eng. Oct 2008, 130(5): 051005 (10 pages)
Published Online: August 14, 2008
Article history
Received:
June 27, 2006
Revised:
March 18, 2007
Published:
August 14, 2008
Citation
Merdol, S. D., and Altintas, Y. (August 14, 2008). "Virtual Simulation and Optimization of Milling Applications—Part II: Optimization and Feedrate Scheduling." ASME. J. Manuf. Sci. Eng. October 2008; 130(5): 051005. https://doi.org/10.1115/1.2927435
Download citation file:
Get Email Alerts
Related Articles
A Comprehensive Dynamic End Milling Simulation Model
J. Manuf. Sci. Eng (February,2006)
Stability-Based Spindle Design Optimization
J. Manuf. Sci. Eng (April,2007)
Dynamics and Stability of Plunge Milling Operations
J. Manuf. Sci. Eng (February,2007)
Dynamics and Stability of Five-Axis Ball-End Milling
J. Manuf. Sci. Eng (April,2010)
Related Proceedings Papers
Related Chapters
Cutting Performance and Wear Mechanism of Cutting Tool in Milling of High Strength Steel 34CrNiMo6
Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)
Relationship Between Tool Deterioration and Cutting Force During Milling of a Nickel-Based Superalloy Using Cemented Carbide Tool
Advances in Multidisciplinary Engineering
Cutting Force Analysis of Turn-Milling Micro-Miniature Parts
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)