Application of response surface methodology in medium optimization for pyruvic acid production of <Emphasis Type="Italic">Torulopsis glabrata</Emphasis> TP19 in batch fermentation

Response surface methodology （RSM） was used to optimize the fermentation medium for enhancing pyruvic acid production by Torulopsis glabrata TP19. In the first step of optimization, with Plackett-Burman design, ammonium sulfate, glucose and nicotinic acid were found to be the important factors affecting pyruvic acid production significantly. In the second step, a 23 full factorial central composite design and RSM were applied to determine the optimal concentration of each significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the critical components were obtained as follows： ammonium sulfate 0.7498 （10.75 g/L）, glucose 0.9383 （109.38 g/L） and nicotinic acid 0.3633 （7.86 mg/L） with a predicted value of maximum pyruvic acid production of 42.2 g/L. Under the optimal conditions, the practical pyruvic acid production was 42.4 g/L. The determination coefficient （R^2） was 0.9483, which ensures adequate credibility of the model. By scaling up fermentation from flask to jar fermentor, we obtained promising results.     

Development of integrated precision vibration-assisted micro-engraving system

A novel precision vibration-assisted micro-engraving system was developed by the integration of fast tool servo and ultrasonic elliptical vibration system, in which the flexure hinge was designed to avoid backlash and PID control algorithm was established to guarantee specific precision. Apart from experimental validation of the performance of the system, various micro-V-grooves cutting experiments on aluminum alloy, ferrous material and hard cutting material were performed, in which Kistler force sensor was used to measure cutting force. Through experiments, it was clear that the vibration-assisted micro-engraving system can ensure good quality of micro-V-grooves and reduce cutting force by about 60% compared with traditional removal process without ultrasonic vibration.     

旋风除尘器操作试验台的建模设计

设计制作了"旋风除尘器操作试验台",该装置能调节风量、进灰量等各种试验参数,可观察除尘器内部的气流运动、除尘效果和灰分收集情况,为"大气污染控制工程"和"锅炉原理"等课程的教学提供了实验手段。通过对旋风除尘器的工作原理及结构进行分析,建立以除尘效率、压力损失为目标函数的双目标数学模型。考虑了设计变量和约束条件后,经过优化设计,寻找出旋风除尘器的最优化结构参数,绘制试验平台结构图,并制作了旋风除尘器操作试验台。     

基于SolidWorks超越离合器的三维建模及运动仿真

通过对滚柱式超越离合器的工作原理及结构进行分析,运用SolidWorks软件实现三维实体建模及装配,并结合SolidWorks_COSMOSMotion模块对超越离合器的单向转动、反向空转和超越转动进行运动仿真分析。     

数学建模优化程序设计与数学原理的综合运用

从符号与数值的转化、同余映射中的周期长度及分阶段执行程序等3个方面,以实际例子研究了如何在实践中运用数学原理来优化程序设计、节约运行时间,达到利于解决数学建模问题的目标。     

Unpacking teachers’ intentions to integrate technology: A meta-analysis

The Technology Acceptance Model (TAM) is a key model describing teachers' intentions to use technology. This meta-analysis clarifies some of the contradictory findings surrounding the relations within the TAM for a sample of 45 studies comprising 300 correlations. We evaluate the overall fit of the TAM and its structural parameters, and quantify the between-sample variation through meta-analytic structural equation modeling. The TAM fitted the data well, and all structural parameters were statistically significant. On average, the TAM variables explained 39.2% of the variance in teachers' intentions to use technology. Several sample, measurement, and publication characteristics, including teachers’ experience and the representation of the TAM variables, moderated the relations within the TAM. Overall, the TAM represents a valid model explaining technology acceptance—however, the degree of explanation and the relative importance of predictors vary across samples. Implications for further research, in particular the generalizability of the TAM, are discussed.     

数学建模在高等数学教学中的应用实例

数学建模的思想已经渗入理科各个学科,而数学建模真正走进课堂还需要认真探讨与实践。分析了高等数学教学中结合数学建模思想的重要性与可行性,联系高等数学教学中的一个内容即微分方程问题,探讨了高等数学教学与数学建模的有机结合.     

引入企业机制 推动学生创新

大学生创新能力的培养是数学建模活动的重要目的,要在双师型、复合型教师团队带领下,以教师科研子课题、时事热点和已就业学生求助问题等立项实行招标,引入企业机制对数学建模创新实验室进行引导和管理,对入驻项目实施流程化、规范化管理。对项目成果实行多目标提取。     

基于偏微分方程的线性函数数据建模应用研究

通过线性函数数据建模,以偏微分方程理论为依据,使用Visual C#作为编程设计语言,通过串行通信口送入大量实验数据,并对海量数据进行实证分析,由此获取线性方程的数据建模方法,得到相应程序算法模型,在Visual C#环境下编写程序进行调试分析与测试,并详细介绍了该方法的具体设计过程,给出了关键程序代码,同时给出了利用该方法进行数据处理的一个实例。对于利用采样的海量数据获得线性函数的相关研究有一定的参考价值。     

机械力化学技术制备磷酸法活性炭及其碘吸附性能的研究

研究采用机械力化学技术制备了吸附性能良好的活性炭。试验采用Plackett—Burman（PB）实验设计和Box—BehnkenDesign（BBD）设计法对影响活性炭碘吸附值的6个条件进行筛选优化。PB实验设计与统计学分析表明酸屑比、研磨时间、活化温度、磷酸浓度是影响活性炭碘吸附值的四个关键因素。以碘吸附值为响应目标,对四因素进行BBD设计,并经响应面法优化分析得到影响活性炭碘吸附值的二阶模型,确定了机械力化学技术制备磷酸活性炭的较优操作条件为：酸屑比2．00,研磨时间22min,活化温度406℃,磷酸浓度20％,活性炭的碘吸附值达1195．23mg／g。