中文摘要：

以获取高得率的生物质液化油为目的，利用生物质玉米秸秆为原料，液化时间、液化温度、催化剂的量为影响因素设计Box—Behnken试验，得到试验因素之间的定量数学模型和交互作用对玉米秸秆液化率的影响，采用响应面法确定玉米秸秆催化液化的最佳工艺条件。结果表明，试验数据建立的二次多项式数学模型显著性极高（P〈0．0001），相关系数R^2=0．9538，预测值与试验值具有很好的拟合度。当液化时间为63．66min、液化温度为162．43℃和催化剂的量为4．02％时为最佳的催化液化条件；在该工艺条件下，玉米秸秆的液化率为98．88％，预测值为98．87％，二者相差0．01％；由此得出响应面法优化玉米秸秆催化液化工艺参数更加精准可靠，具有一定的参考价值。

英文摘要：

In order to get high yield of biomass liquefaction oil, using corn straw as raw material, liquefied duration（LD）, liquefaction temperature（LT） and catalyst dosage（CD） as influence factors for design Box-behnken experiment, the quantitative mathematical model of experimental factors and interaction of between factors effect on the liquefaction of corn stalk rate were got, response surface method（RSM） was used to determine the optimum process conditions. The result shows that it was highly significant（P〈0.000 1）that the quadratic regression mathematics model established according to experimental data, which the coefficient of correlation is R^2=0.953 8. The degree of fitting is provided with between the predicted value and the experimental value. When the LD is 63.66 min, the LT is 162.43 ℃ and the CD is 4.02% for the best catalytic liquefaction conditions; Under the condition of the process, the liquefaction rate of corn straw is 98.88%, while the predictive value is 98.87%, which the relative deviation between them is 0.01%; Therefore, it is concluded that the optimization of the process parameters of corn stalk catalytic liquefaction by the RSM is more precise and reliable, and has a certain reference value.