锻造液压机实验研究

分析了使用大流量比例阀作为主控阀的锻造液压机的加载与卸载特性,对影响液压机快速性和平稳性的因素进行了实验研究,提出了提高与改善液压机性能的具体措施。     

板料多道次拉深成形规律和性能的研究

在物理模拟的基础上，研究了板料拉深成形过程中，材料的性能参数和工艺参数对板料成形性能的影响，着重分析了对多道次拉深成形的影响。结果表明，无论是材料性能参数还是材料的工艺参数都对再拉深的影响比对单道次拉深的影响林大得多，但两种参数对多道次拉深的影响过程前后是一致的。同时可以看出，多道次拉深之间是相互影响的，不能割裂开来考虑。     

三自由度平面全柔顺并联机构运动学分析

针对传统方法求解全柔顺并联机构Jacobian矩阵存在奇异性的缺陷,基于三自由度平面全柔顺并联机构的伪刚体模型,提出一种微位移法来求解机构的Jacobian矩阵。先建立机构的伪刚体模型,并采用传统方法和微位移法得到机构的输入输出Jacobian矩阵;通过HyperMesh软件仿真和实验测试分别得到机构动平台中心点位移的仿真值和实验值。最后,将两种方法得到的理论值分别与仿真值、实验值进行对比。对比结果表明:与传统法相比,微位移法的计算精度较高,误差较小,且验证了Jacobian矩阵的有效性,为全柔顺并联机构的运动特性分析提供了参考。     

超声及电磁场对铝合金熔体影响的数值模拟及试验研究

针对铝合金熔体的超声及电磁搅拌处理过程,创建了超声场、电磁场、流场和温度场的数学模型,并采用COMSOL Multiphysics软件求解模型,得到了超声场、电磁场和超声/电磁复合场对铝合金熔体内流场和温度场的分布规律,并通过试验对模拟结果进行了验证。结果表明,增加超声功率使得声压幅值和流场的流动速率均随之增加,同时会使熔体的温度梯度逐渐减小;施加电磁场后产生的电磁搅拌改变了熔体的流动方向且使熔体的流动速率显著增大,这对熔体的温度分布产生了较大影响;在超声和电磁复合场下,电磁场比超声场对熔体流场和温度场的影响更大,且占主导地位。数值模拟结果和试验结果符合较好。     

铝合金电磁低压铸造工艺试验及应用

研究了铝合金电磁低压铸造工艺参数关系及控制方法;通过试验及数学分析研究确定了电磁驱动力与电流、流量与电流之间的关系及计算模型,并进行了电磁低压铸造和气压低压铸造实际铸件性能对比。结果表明,电磁低压铸造的流量大小与电极电流成线性关系;并且当电极电流一定时,随出液口高度增加,流量减小,电磁低压铸造生产的铸件性能得到明显提高;电磁低压铸造方法比传统气压低压铸造控制过程更精确。     

一种快速测定矿粉中金属含量的方法与装置

简述了一种可快速测定矿粉中金属含量的方法与装置，讨论了该装置的检测原理、设计方案及性能特点。利用该装置可实时测定出矿粉中的金属含量，在工业应用中替代繁琐的理化检验，具有较高的实用价值。     

覆膜砂热膨胀率的试验研究

采用正交试验法研究了原砂粒度、树脂添加量、乌洛托品量及制样温度对壳型覆膜砂急热膨胀率的影响，所得回归方程高度显著。结果表明，采用细砂可明显降低急热膨胀率，而增加树脂量时，一方面降低石英相变温度所对应的膨胀，然而总膨胀率却趋于上升     

MPC-based dual control with online experiment design

We present two dual control approaches to the model maintenance problem based on adaptive model predictive control (mpc). The controllers employ systematic self-excitation and design experiments that are performed under normal operation, resulting in improved control performance with smaller output variance and less control effort. Our control formulations offer a novel approach to the question of how to excite the plant input to generate informative data within the context of mpc and adaptive control. One controller actively tries to reduce the parameter-estimate error covariances; the other controller maximizes the information in the signals for enhanced learning. Our approach differs from existing ones in that we let our controllers converge to standard certainty equivalence (ce) mpc when the parameter uncertainty decreases or more information is generated, and as a result we avoid plant excitation when the uncertainty is low or enough information has been generated. We demonstrate that the controllers work well with a large number of tuning configurations and also address the issue of models that are not admissible for control design.     

Software for estimation of second order effective material properties of porous samples with geometrical and physical nonlinearity accounted for

A method and an algorithm for numerical estimation of effective mechanical properties of porous materials are presented. The effective properties are sought in the form of the nonlinear relation between the second Piola–Kirchhoff stress tensor and the Green strain tensor for anisotropic materials with second-order nonlinearities accounted for. The effective characteristics of test models are computed by means of a CAE Fidesys program module based on the proposed algorithm. The effective material properties as functions of porosity are examined. The finite element mesh that contained more than a million of elements was used while performing stress analysis of a specimen. To reduce computing time, assembly and solution of the global equation system was done in parallel using CUDA technology. The computations were carried out on NVIDIA Tesla C2050 graphics processors. Our results show that accounting for nonlinear effects is essential for correct estimation of effective properties of porous materials.     

基于Ptolemy的自适应巡航系统建模与仿真

信息物理融合系统( CPS)是计算、通信与控制技术的融合,汽车自适应巡航控制系统是一种典型的CPS,具有广泛的应用前景。通过建立汽车纵向行驶的数学模型,并基于CPS给出自适应巡航控制系统的结构,设计系统的状态机模型。基于Ptolemy分别设计前车、测量距离和本车的计算模型,构建系统的层次模型,在子模型中采用模态模式对基于时间的模型与状态机模型相结合的混合系统行为进行建模。仿真结果表明,该方法能满足自适应巡航控制系统的要求,保证系统的安全性。