Method for analyzing and optimizing a machining process

Details Method for analyzing and optimizing a machining process Method for analyzing and optimizing a machining process

2011-04-26

2011-04-26

Bahta, Kidest (Department: 2123)

Data processing: generic control systems or specific application

Specific application, apparatus or process

Product assembly or manufacturing

C700S180000, C703S002000

Reexamination Certificate

active

07933679

ABSTRACT:
A method for optimizing machining parameters for a cutting process performed on a work piece. Finite element analysis of cutting tool and work material interaction is initially performed. Mechanistic modeling of the cutting process, using results of the finite element analysis, is then performed to provide optimized machining parameters for improved rate of material removal and tool life. Optionally, a two-stage artificial neural network may be supplementally employed, wherein a first stage of the network provides output parameters including peak tool temperature and cutting forces in X and Y directions, for a combination of input reference parameters including tool rake angle, material cutting speed, and feed rate.

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Karpat, Yigit, et al. “Multi-Objective Optimization for Turning Processes Using Neural Network Modeling and Dynamic-Neighborhood Particle Swarm Optimization,” Int. J. Adv. Manuf Technology, DOI 10.107/s00170-006-0719-8, 14 pages, Feb. 24, 2006.
Zuperl, Uros, et al. “Optimization of Cutting Conditions During Cutting by Using Neural Networks,” Robotics and Compuer Integrated Manufacturing 19 (2003), pp. 189-199.

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