Optimization of Force and Power Imposed on Continuous Tandem Cold Rolling Rollers Using a Multiple-Function Genetic Algorithm ()
ABSTRACT
The amount of energy consumed in the production lines such as cold rolled
process is one of the fundamental problems in the energy infrastructure of manufacturing
sectors. Accordingly, much attention should be directed towards optimizing the power
consumption of production lines using reasonable methods. Furthermore, the powers
exerted on such equipment must be modified to find an optimized energy consumption
level. This study tries to examine the optimization of forces and powers imposed
on the continuous tandem cold rolling rollers of metal sheets using MATLAB and genetic
algorithm. Firstly, some relationships and calculations of rolled metal sheets are
analyzed. Then parameters, such as percentage of thickness reduction, mean pressure,
yield stress, power of rollers and exerted torque, are calculated. All the governing
relationships are programmed using MATLAB software. Having compared the mentioned
two methods, genetic algorithm is used to determine the optimal required power.
The results show that the optimized powers generated by genetic algorithm method
are in good agreement with experimental observations. Also, the powers of rolling
rollers and standard deviations of powers are calculated and, then, the two functions
are compared and the optimum point between them is optimized.
Share and Cite:
Safari, M. and Moghoomi, M. (2015) Optimization of Force and Power Imposed on Continuous Tandem Cold Rolling Rollers Using a Multiple-Function Genetic Algorithm.
Open Access Library Journal,
2, 1-13. doi:
10.4236/oalib.1101401.