Process parameters optimization model for robotic abrasive belt grinding of aero-engine blades

Abstract

Reducing carbon emissions during belt grinding is of great significance for environmentally friendly production in the manufacturing industry. In this paper, in order to better grinding aero-engine titanium alloy blades with the abrasive belt, an improved NSGA-II multi-objective optimization algorithm was proposed, which reduced the carbon emissions during the grinding process while ensuring the same surface roughness and material removal rate. Firstly, through analysis and finite element simulation, the model of abrasive belt grinding force is established and the rationality of the model is verified by experiments; furthermore, the carbon emission model of abrasive belt grinding and the multi-objective optimization model based on the improved NSGA-II algorithm are established; finally, the results of the algorithm are verified and compared through numerical simulation and experiments. Compared with the NSGA-II algorithm and the MOPSO algorithm, the optimization results of the algorithm in this paper have better diversity and uniformity, and can find better non-dominated optimal solutions, the process parameters selected by the algorithm in this paper can more effectively reduce the carbon emissions during grinding. The optimization method proposed in this paper has certain reference significance for engineering practice.

Analysis on high-frequency vibration characteristics of complex blades under ultrasonic excitation

“…Blade fatigue damage is mainly caused by fatigue accumulation reaching the threshold value (fatigue limit), and the research shows that the vibration fatigue test is the most direct means to obtain the fatigue limit of an aero-engine blade. Yang [11] et al used the step-by-step load loading method on the fatigue vibration test bench to excite the blade until the blade appeared fatigue damage, to obtain the blade fatigue limit. Subsequently, Zhang [12] et al took the temperature factor into account and conducted high temperature high cycle vibration fatigue tests on aero-engine blades, using radiation heating and high-frequency excitation of electromagnetic shakers to provide temperature and vibration loads, respectively, and effectively obtained the life curve of the blades.…”