Multi-objective optimization of ultrasonic-assisted magnetic abrasive finishing process
Aviral Misra
Pulak M. Pandey
Uday S. Dixit
Anish Roy
Vadim Silberschmidt
2134/36400
https://repository.lboro.ac.uk/articles/journal_contribution/Multi-objective_optimization_of_ultrasonic-assisted_magnetic_abrasive_finishing_process/9545792
Ultrasonic-assisted magnetic abrasive finishing (UAMAF) is an advanced abrasive finishing process that finishes a workpiece surface effectually when compared to a traditional magnetic abrasive finishing process in the order of nanometer. A change of surface roughness and material removal rate are two important factors determining the efficacy of the process. These two factors affect the surface quality and production time and, thereby, a total production cost. The finishing performed at higher material removal rates leads to a loss in shape/form accuracy of the surface. At the same time, increasing the rate of change of surface roughness increases loss of material. For an optimized finishing process, a compromise has to be made between the change of surface roughness and the material removal (loss). In this work, a multi-objective optimization technique based on genetic algorithm is used to optimize the finishing parameters in the UAMAF processes. A fuzzy-set-based strategy for a higher level decision is also discussed. The results of the optimization based on a mathematical model of the process are validated with the experimental results and are found to be in compliance.
2018-12-12 08:58:10
UAMAF
Finishing
Multi-objective optimization
Genetic algorithm
Material removal
Surface roughness
Fuzzy sets
Mechanical Engineering not elsewhere classified