Papers by Keyword: Multi Objective Optimization

Abstract: The main aim of this work is to analyse the significance of cutting parameters on surface roughness and spindle vibrations while machining the AA6063 alloy. The turning experiments were carried out on a CNC lathe with a constant spindle speed of 1000rpm using carbide tool inserts coated with Tic. The cutting speed, feed rate and depth of cut are chosen as process parameters whose values are varied in between 73.51m/min to 94.24m/min, 0.02 to 0.04 mm/rev and 0.25 to 0.45 mm respectively. For each experiment, the surface roughness parameters and the amplitude plots have been noted for analysis. The output data include surface roughness parameters (R_a,R_q,R_z) measured using Talysurf and vibration parameter as vibration amplitude (mm/sec) at the front end of the spindle in transverse direction using single channel spectrum analyzer (FFT).With the collected data Regression analysis is also performed for finding the optimum parameters. The results show that significant variation of surface irregularities and vibration amplitudes were observed with cutting speed and feed. The optimum cutting speed and feed from the regression analysis were 77.0697m/min and 0.0253mm/rev. for the minimum output parameters. No significant effect of depth of cut on output parameters is identified.

Abstract: The bi-layer materials have been used widely during past decades due to their specific characteristics like lighter weight, more corrosion resistance, and insulation features in comparison with mono-layers which consisting them. In this research the aim is achieving to best combination of bi-layer material (Al3105-St14) to satisfy two objectives of weight and formability while it has a constant total thickness. The represent the formability objective and is derived from M-K model associated with Barlat-Lian yield criteria. Another objective is weight of per unit area. The data of experiments are designed based on full factorial method and the surfaces are best polynomial which can fit the variables and objectives. The MATLAB software and the genetic algorithm (GA) are used to generate feasible combination of thickness to provide to minimize the weight and maximize the formability. The Pareto frontier is utilized to satisfy two objective functions simultaneously. The best answer is selected with norm approaching and minimum distance method.