Title :
Methods of optimization of milling parameters based on genetic algorithm
Author :
Zhang, Chengqiang ; Chen, Jie
Author_Institution :
Sch. of Mech. & Power Eng., Nanjing Univ. of Technol., Nanjing, China
Abstract :
In this paper, the genetic algorithm is used to optimize the milling parameters in the milling process so that the tool life can be enhanced and processing costs can be reduced. LABVIEW is used as software development platform to program, monitor the tool wear and determine the tool life. Through the method of orthogonal experiment to design experiment and then the measured data is dealt with by MATLAB, and a mathematical formula is established between milling parameters and tool life. Using mathematical formula and production cost process as a mathematical model. At last, dealing with the mathematical model through the application of genetic algorithms, the most optimized milling parameters is obtained. Experiment proves the practicality of the genetic algorithm in the optimization of milling parameters.
Keywords :
mechanical engineering computing; milling; optimisation; tools; wear; LABVIEW; MATLAB; genetic algorithm; milling parameters; optimization; production cost process; tool life; tool wear; Computerized monitoring; Cost function; Data acquisition; Genetic algorithms; Instruments; Mathematical model; Milling; Optimization methods; Power measurement; Production; LABVIEW; genetic algorithm; orthogonal experiment;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274851
