Papers by Keyword: Skew Rolling

Abstract: In this paper, three-dimensional finite-element model for the skew rolling (helical-groove rolling) process has been used to characterize the workpiece material stress,strain and deformation behavior. Particular attention has been paid to representative cross section and the center, edge and mid-radius points of the billet

Abstract: According to the equation of pass surface in skew rolling, the characteristic curves are obtained by VC++ programming, a three-dimensional model of the roller is constructed by using of modeling function of Pro/E software, it is done for numerical simulation of Φ21.6mm Al ball forming process in skew rolling by means of ANSYS6.0 software, the stress and strain distributions are obtained in this simulation. It provides the important foundation for the design of dies and making clear the cause of the rolled piece inner defect. Key words: Skew rolling; Numerical simulation; Pro/E modeling; Al ball

Abstract: The ball defects generated in skew rolling process have restricted to large extent the further application of skew rolling technology in ball manufacturing industry. Research was carried out so as to find the factors and laws of influencing on skew rolling ball quality. It was found by analyzing the forces exerting on the ball that the deforming velocity of ball had the largest influence on the resistance to deformation. Simulations were done respectively under different roller obliquities, different distances between two guide plates, and different rotation speeds of rollers by means of DEFORM-3D software. Finally, the influencing factors and laws on ball quality were discovered.

Abstract: In the production of seamless pipes, there are many factors influencing the quality of the seamless tubes such as diameter of original pipe, feed angle, temperature, minimum roll gap and so on. Unfortunately, the selection of the parameters still relies on manual operation and the experience of engineers. In this paper, a novel hybrid model through integration of genetic algorithm(GA) and neural network is proposed to optimize the technology parameters. Firstly, the neural network model is developed between technology parameters and final pipes dimensions. Then, genetic algorithm is used to optimize the neural network structure. At last, accuracy of the parameters is verified by experiment. The research results indicate that the proposed approach can effectively help engineers determine optimal technology parameters and achieve competitive advantages of product quality and costs