Purpose
This paper aims to study multiobjective genetic algorithm ability in determining the process parameter and postprocess condition that leads to maximum relative density (RD) and minimum surface roughness (Ra) simultaneously in the case of a Ti6Al4V sample process by laser beam powder bed fusion.
Design/methodology/approach
In this research, the nondominated sorting genetic algorithm II is used to achieve situations that correspond to the highest RD and the lowest Ra together.
Findings
The results show that several situations cause achieving the best RD and optimum Ra. According to the Pareto frontal diagram, there are several choices in a close neighborhood, so that the best setup conditions found to be 102–105 watt for laser power followed by scanning speed of 623–630 mm/s, hatch space of 76–73 µm, scanning patter angle of 35°–45° and heat treatment temperature of 638–640°C.
Originality/value
Suitable selection of process parameters and postprocessing treatments lead to a significant reduction in time and cost.
One of the most important issues in the review of cold roll forming process of metals is estimation of force and torque. The optimum production line can be designed determining the effective parameters on force and torque. Some of these parameters are material, sheet thickness, bending angle, lubrication conditions, rolls rotational speed and distance of the stands. The aim of this study is to investigate the effect of thickness, yield strength, sheet width and forming angle plate on the force and torque applied on rolls. So the forming process was 3D simulated in finite element software Marc/mentat. Simulation results showed that with increase of yield strength, thickness and forming angle, applied force and torque on rolls will increase. Also the increase in sheet width-assuming constant flange length-will increase the force on the rolls and reduce the torque needed for forming. The effect of thickness and sheet width was experimentally investigated which verified the results obtained by FEA.
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