The rapeseed oil extracted from the mature seeds was purified by refining processing, and the rheological characteristic analysis of the viscosity and dynamic shear rate at gradient temperatures was made. The result shows that at 20, 40, 60 and 80 ℃ respectively, when the shear rate gradually rises, the torque increases accordingly but its viscosity does not vary distinctly. The result suggests that when rapeseed oil is used as the raw of edible oils and industries, the working procedures at high temperature will not influence its rheological characteristic distinctly.

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Abstract：Argon ion laser was used as the induced light source and ethane (C 2 H 4 ) was selected as the precursor gas, in the variety ranges of laser power from 0.5 W to 4.5 W and the pressure of the precursor gas from 225×133.3 Pa to 680×133.3 Pa, the experiments of laser induced chemical vapor deposition were proceeded for fabrication of micro carbon pillar. In the experiments, the influences of power of laser and pressure of work gas on the diameter and length of micro carbon pillar were investigated, the variety on averaged growth rate of carbon pillar with the laser irradiation time and moving speed of focus was discussed. Based on experiment data, the micro carbon pillar with an aspect ratio of over 500 was built through the method of moving the focus.

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creep is an extremely harmful phenomenon which can not be neglected at high temperature. As metal is increasingly used in high temperature structure, investigation on its creep at high temperature has actual significance. In this paper, the creep constitutive relationship of LC4 alumunium alloy under constant stress has been investigated by using creep testing data of LC4 aluminium alloy obtained under the same stress level and different temperature as knowledge base, and combining the characteristics of rheological forming of materials and Based on Clustering Radial Basis Function Neural Network (BC-RBFNN). A creep model based on BC-RBFNN has been obtained and compared, which validates that this model has higher precision and generalizing ability.