In this paper, we discussed a problem for improving the throughput of a crankshaft manufacturing line in an automotive factory in which the budget for purchasing new machines and installing additional buffers is limited. We also considered the constraint of available space for both of machine and buffer. Although this problem seems like a kind of buffer allocation problem, it is different from buffer allocation problem because additional machines are also considered. Thus, it is not easy to calculate the throughput by mathematical model, and therefore simulation model was developed using ARENA ® for estimating throughput. To determine the investment plan, a modified Arrow Assignment Rule under some constraints was suggested and it was applied to the real case.
Based on ABAQUS, the strain and stress on the drive axle housing is obtained by the static analyses. Through the model analysis, the inherent frequencies and mode shapes of front 10 order modes are obtained respectively. According to damage accumulation theory and the rain-flow counting method, and the amplitudes and mean values of counted cycles can be determined. Fatigue analysis of automotive drive axle housing under the sine load spectrum are analyzed by applying ABAQUS/FE-SAFE software, and the overall fatigue life contours and distribution of hazardous area are obtained. Under the results of analysis, the improved design of automotive drive axle housing is made. Therefore, the new methods for improving life distribution and design of automotive drive axle housing are proposed in this paper.
In order to estimate the residual life of waste drive axle housing, the prediction model of waste axle housings with artificial neural networks is built in this paper. Take the deformation, residual stress and the gradient of magnetic intensity Kmax relating to axle housing’s fatigue damage degree as the input of neural network, and compare the testing residual life of the waste drive axle housing with its predicting residual life. The result demonstrates that: the deformation, residual stress and the gradient of magnetic intensity Kmax of axle housing as the characteristic parameter estimating the degree of fatigue damage, adopting trainbr training function can get good network performance and comparatively high precision of prediction. Besides, the longer the residual life of the waste axle housing is, the more precise the prediction life will be.
A new method to recycle radial tyre is studied, using Ultra-High Pressure Water jet to cut the tread rubber. The dynamic constitutive model of radial tyre material is builded, fitting model parameters with least square method. And the stress distribution law and dissociation characteristics of rubber block under impact are studied by finite element analysis.Through the SEM observation of cross section, the relationship is preliminarily discussed between stress distribution and micro-morphology of fracture interface and dissociation pathways. The split Hopkinson pressure bar apparatus is used to obtain the dynamic response law of material in a wide range of Strain Rate. The experimental results show that viscoelasticity of the rubber material is not fully reflected from the perspective of the stress wave propagation. The rubber material has a brittle transition and eventually forming fine powder. And the experimentally measured material crushing threshold is found agreed well with the numerical simulation results. It provides important mechanical foundation for further research on the mechanical force desulfurization of material.
.Laser cladding is an advanced manufacturing technology for preparing high-performance metallurgical coatings on metal substrates that is widely used in industrial production. In order to improve the powder utilization rate and reduce the waste of powder in the coaxial powder feeding laser cladding process, the Euler–Lagrange theory was used to establish the simulation model of gas-powder two-phase flow in laser cladding. Fluent was used to simulate the powder particle size, powder particle shape factor, carrier gas flow rate, and powder feed rate under different process conditions, and the results were verified by experiments. Through analysis, under the process parameters of a carrier gas flow rate of 4 L / min and a powder feed rate of 15 g / min, the powder utilization rate was high and the surface of the cladding layer was smooth. When the particle size was 100 mesh and the particle shape factor approached 1.0, the concentration of powder focus was higher and the convergence effect was the best. The influence of powder process parameters on powder convergence was comprehensively analyzed, which is of great significance for the subsequent optimization design of nozzle and the improvement of powder utilization in the laser cladding process.
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