注塑产品动态装配模型的集成知识模型研究

基于MBR(基于模型的推理)技术，建立了注塑模具动态装配结构模型；基于RBR(基于规则的推理)技术，应用面向对象的规则模型(OOR)，建立了动态装配规则的知识表示模型。最后，该文将两种知识表示模型集成，建立了完整的知识模型，为整个系统的后续工作奠定了基础。     

多孔薄壁扁管连续挤压模的研制

介绍了连续挤压模的生产工艺过程 ,模具主要结构及设计参数 ,分析了生产中存在的问题以及采取的措施 ,充分发挥了连续挤压设备的潜力 ,扩大了产品品种     

Special-shaped tube drawing forming and conformal optimization of die cavity

Aiming at the issues in quick processing and modeling design of drawing special-shaped tube die, by Conformal Mapping Theory and the numerical trigonometry method of interpolation between odd points and even points, the conformal mapping function is obtained. As the result, three-dimension drawing forming were converted into that of two-dimension problems, and the plastic stream function was analyzed, die cavity modeling and its optimized function were set up. Combining with modern processing technology, NC program and CAM of die cavity can be realized. Taking the drawing forming of hexagon tube with arc radii r and ellipse-shaped tube as instances, the drawing die cavity optimization of special-shaped tube was achieved, as well as, the changing principle of wall thickness was analyzed.     

基于正交试验的注塑成型工艺参数CAE模拟设定

运用基于CAE技术的注塑工艺参数优化配置和注塑工艺方案设计的思想,结合正交试验设计方法对工艺参数进行CAE仿真试验,并以零件翘曲变形为优化目标,通过敏感因子分析,获得最佳工艺参数组合.经注塑机试模和三坐标测量机的检测分析,验证了CAE模拟结果的准确性和最佳工艺参数组合在实际生产中的效果.     

模具生产联合体加工作业统一调度问题的研究

模具生产联合体是由小规模企业组成的模具设计、制造联盟，由于设备、工装和人员分属于不同的加盟企业，其作业排序过程非常复杂。为此提出一种复合式模具生产联合体的生产排序方法：依据基本优先规则首先完成单一工序作业，然后对多工序作业用改进遗传算法进行工艺优化，求出最优解和次优解，再使用评价函数法选择最佳作业路线。该方法在生产试验中取得了良好的成效．能较好满足模具用户和加盟企业两方面的需要。     

数控程序的高效设计及其刀具轨迹优化

介绍了提高数控程序编制效率的途径 ,并以实例说明了如何对数控程序刀具轨迹的质量进行优化 ,对从事数控工艺与编程的技术人员有参考和借鉴的作用。     

有关C语言教学方法优化的探讨

C语言程序设计是一门重要的课程,却难学难教。教学方法优化十分必要。教学方法优化应从激发学生兴趣入手,采用循序渐进的方式,着重培养学生举一反三的编程能力,引导学生写出高质量的程序,并丰富考核方式。     

A note about the complexity of minimizing Nesterov's smooth Chebyshev–Rosenbrock function

This short note considers and resolves the apparent contradiction between known worst-case complexity results for first- and second-order methods for solving unconstrained smooth nonconvex optimization problems and a recent note by Jarre [On Nesterov's smooth Chebyshev–Rosenbrock function, Optim. Methods Softw. (2011)] implying a very large lower bound on the number of iterations required to reach the solution's neighbourhood for a specific problem with variable dimension.     

Genetic algorithm‐based neural‐network modeling approach applied to AlGaN/GaN devices

An accurate equivalent circuit large‐signal model (ECLSM) for AlGaN‐GaN high electron mobility transistor (HEMT) is presented. The model is derived from a distributed small‐signal model that efficiently describes the physics of the device. A genetic neural‐network‐based model for the gate and drain currents and charges is presented along with its parameters extraction procedure. This model is embedded in the ECLSM, which is then implemented in CAD software and validated by pulsed and continuous large‐signal measurements of on‐wafer 8 × 125‐μm GaN on SiC substrate HEMT. Pulsed IV simulations show that the model can efficiently describe the bias dependency of trapping and self‐heating effects. Single‐ and two‐tone simulation results show that the model can accurately predict the output power and its harmonics and the associated intermodulation distortion (IMD) under different input‐power and bias conditions. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2013.     

宽带钢厚度模型的研究与优化

介绍莱钢宽带钢厚度模型的优化,以改善板形,提高控制精度.