基于自适应神经模糊推理系统的微波炉温度控制

针对微波炉温度对象的不确定性，作者提出了用自适应神经模糊推理系统(ANFIS)对微波炉温度进行自适应控制的自适应神经模糊控制器。对ANFIS训练及检验的结果表明，该自适应神经模糊控制器具有较高的控制精度，控制效果较好。     

Development and Application of Intelligent Prediction Software for Broken Rock Zone Thickness of Drifts

In order to seek the economical, practical and effective method of obtaining the thickness of broken rock zone, an emerging intelligent prediction method with adaptive neuro-fuzzy inference system (ANFIS) was introduced into the thickness prediction. And the software with functions of creating and applying prediction systems was developed on the platform of MATLAB6.5. The software was used to predict the broken rock zone thickness of drifts at Liangbei coal mine, Xinlong Company of Coal Industry in Xuchang city of Henan province. The results show that the predicted values accord well with the in situ measured ones. Thereby the validity of the software is validated and it provides a new approach to obtaining the broken zone thickness.     

摩擦搅拌焊参数对超细晶Al-0.2 wt% Sc合金薄板微观组织和热力学性能的影响

为了研究摩擦搅拌焊参数对超细晶粒Al-Sc合金薄板微观组织、热力学性能的影响,采用累积滚焊法(ARB)制备的超细晶粒Al-Sc合金薄板进行了摩擦搅拌焊数值模拟。此外,研究了刀具转速、焊接速度和刀具倾斜角等摩擦搅拌焊参数的最优条件。在SYSWELD和Visual-Environment软件中实现了数值模拟,并通过实验结果进行了验证。结果表明,摩擦搅拌焊是一种有利于保持超细晶(UFG)组织的技术,并在累积滚焊材料中具有较好的力学性能。刀具转速对热性能和力学性能的影响最大。在刀具转速为700 r/min、焊接速度为80 mm/min、刀具倾斜角度为3°时,Al-Sc合金的硬度和抗屈强度均达到最高。     

自适应神经模糊推理系统在桥梁状态评估中的应用

以钢筋混凝土中小跨径梁式桥为对象,根据结构特征和《公路养护技术规范》(JTJ 073 96)建立了主梁耐久性评估指标体系,确定了评估指标的分级标准,开发了基于自适应神经 模糊推理系统（ANFIS）的主梁耐久性评估系统.提出了根据统计学原理模拟桥梁检查数据和专家意见调查数据的方法,比较了教师数据数量对系统训练结果的影响.模拟教师数据验证结果表明,系统具有良好的学习能力和实际应用能力.应用某市三环路上的13座桥梁110根主梁的实测数据,验证了学习后的系统能够快速有效地模仿专家非线性模糊推理能力.     

响应面方法在跨声速翼型气动优化设计中的应用研究

基于响应面方法进行了跨声速翼型的气动优化设计研究。通过采用分次优化、逐步逼近的方法有效地解决了应用响应面方法进行多变量优化设计时拟合精度较低的问题。首先进行了翼型的反设计来验证该方法的可靠性,然后进行了跨声速翼型减阻优化设计。流场控制方程均采用N-S方程。响应面模型采用完全二阶多项式来构造,试验点的选取满足D优化准则。优化设计算例表明:进行分次优化所构造的模型精度满足设计要求,优化结果误差均小于1%;方法实用有效,减阻设计中阻力系数减少了19.34%。     

A reversibly used cooling tower with adaptive neuro-fuzzy inference system

An adaptive neuro-fuzzy inference system (ANFIS) for predicting the performance of a reversibly used cooling tower (RUCT) under cross flow conditions as part of a heat pump system for a heating mode in winter was demonstrated. Extensive field experimental work was carried out in order to gather enough data for training and prediction. The statistical methods, such as the correlation coefficient, absolute fraction of variance and root mean square error, were given to compare the predicted and actual values for model validation. The simulation results predicted with the ANFIS can be used to simulate the performance of a reversibly used cooling tower quite accurately. Therefore, the ANFIS approach can reliably be used for forecasting the performance of RUCT.     

响应面方法及其在桥梁体系可靠度分析中的应用

提出将响应面方法和非线性有限元分析结合起来对桥梁上部结构的体系可靠度进行分析的新方法.首先,在试验设计的基础上应用通用的非线性有限元分析程序对桥梁结构进行体系承载力极限分析,然后,利用响应面方法推求桥梁结构体系承载力的响应面,最后利用可靠度分析程序计算桥梁结构的体系可靠度指标和失效概率.通过对一单跨叠合桥梁进行算例分析,证明了所建议方法的有效性.     

Prediction and optimization of process parameter of friction stir welded AA5083-H111 aluminum alloy using response surface methodology

A systematic approach was presented to develop the empirical model for predicting the ultimate tensile strength of AA5083-H111 aluminum alloy which is widely used in ship building industry by incorporating friction stir welding (FSW) process parameters such as tool rotational speed, welding speed, and axial force. FSW was carried out considering three-factor five-level central composite rotatable design with full replications technique. Response surface methodology (RSM) was applied to developing linear regression model for establishing the relationship between the FSW process parameters and ultimate tensile strength. Analysis of variance (ANOVA) technique was used to check the adequacy of the developed model. The FSW process parameters were also optimized using response surface methodology (RSM) to maximize the ultimate tensile strength. The joint welded at a tool rotational speed of 1 000 r/min, a welding speed of 69 mm/min and an axial force of 1.33 t exhibits higher tensile strength compared with other joints.     

铝合金电阻点焊焊接参数选择的智能化

通过深入分析点焊工艺过程,结合基于事例推理的特点,将铝合金点焊工艺事例属性划分为事例特征Ⅰ和事例特征Ⅱ两类。设计了铝合金相似点焊工艺事例的检索策略:在事例特征Ⅰ的约束下,以事例特征Ⅱ中包含的材质的热物理性质和板厚作为检索相似事例的依据。用模糊推理方法对检索到的相似事例库中的工艺知识、规则进行提取、总结,进而指导对新的点焊工艺事例的求解,较好地解决了铝合金点焊工艺设计中,基于事例推理时难以建立合适的模型对检索到的相似事例进行修正的难题,使点焊焊接参数的智能求解过程更符合专家的思维,过程更加灵活,具有开放性。系统应用实例及工艺实验证明此方法是可行的。     

基于PSO-ANFIS 改进算法的推理系统平衡性研究

针对粒子群优化(PSO)算法在自适应神经模糊推理系统(ANFIS)中的集成应用,提出对学习神经模型参数、隶属度函数参数进行改进优化的算法。该算法可增强模糊系统的近似精度和可解释性,提高系统的性能,进而发现更好的分类优化规则。算法经4个标准数据库的数据测试,结果表现出更好的性能,获得更好的分类效果,同时降低了系统时间复杂度。     

Application of response surface method for optimal transfer conditions of multi-layer ceramic capacitor alignment system

The multi-layer ceramic capacitor (MLCC) alignment system aims at the inter-process automation between the first and the second plastic processes.As a result of testing performance verification of MLCC alignment system,the average alignment rates are 95% for 3216 chip,88.5% for 2012 chip and 90.8% for 3818 chip.The MLCC alignment system can be accepted for practical use because the average manual alignment is just 80%.In other words,the developed MLCC alignment system has been upgraded to a great extent,com...     

搅拌摩擦焊工艺对镁合金焊接接头机械性能的影响

采用不同搅拌摩擦焊工艺焊接镁合金,通过拉伸、三点弯曲试验分析了工艺参数对焊缝机械性能的影响。结果表明,采用合适的搅拌摩擦焊工艺可以成功地焊接镁合金并得到成型美观、质量好的焊接接头,焊缝中因产生充分的塑性流动,弯曲强度高,性能好,在一定参数范围内,随着搅拌头旋转速度R,R/V增加,抗拉强度极限值增加;随着焊接速度V增加,抗拉强度极限值下降,当采用最佳的工艺参数焊接,可得到最大抗拉强度极限值,接近母材的90％。     

轿车侧碰中车门抗撞性的快速优化

针对汽车侧面碰撞时吸收能量的重要部件——车门结构,进行了快速抗撞性优化设计。将提高车门结构吸能量作为优化目标,选择主要部件的板厚为设计变量,建立抗撞性优化问题的数学模型。基于均匀试验设计方法快速合理地分布样本点。根据多项式响应面方法构造原优化问题的高精度近似模型。采用粒子群优化算法对近似模型进行优化设计。优化结果证明了本文提出的快速抗撞性优化设计方案的可行性及有效性,对车辆被动安全分析具有较高的工程应用价值。     

基于减法聚类的自适应模糊神经网络的短期负荷预测

论述了基于减法聚类的自适应模糊神经网络（ANFIS：adaptive neuro—fuzzy inference system）的短期负荷预测方法．利用减法聚类的方法确定了自适应模糊神经网络的结构,再结合最小二乘估计法和反向传播算法对参数进行训练．向训练好的自适应模糊神经网络输人相关的影响因素数据进行预测．预测结果显示,自适应模糊神经网络能比人工神经网络获得更高的预测精度和耗费更少的训练时间,所以有更好的使用价值．     

响应面法优化牡蛎酶解工艺

通过内源酶与外源酶相结合的方法,酶解牡蛎并优化酶解过程。评价了紫外照射、温度、pH、金属离子、保温时间等因素对自溶酶酶解效果的影响,确定牡蛎自溶的最佳条件为pH 5、50℃、3 h。以水解度和肽得率为指标,从木瓜蛋白酶、中性蛋白酶和碱性蛋白酶中选择中性蛋白酶为外源工具酶。利用响应面中的Central Composite设计优化了中性蛋白酶的水解工艺,用Design-Expert 7.0软件分析试验数据。以水解度为评价指标最终确定中性蛋白酶的最佳酶解工艺条件并修正为:pH 7.1、49℃、底物质量分数7.9%、加酶量2 500 U/g、反应时间4 h。在此条件下,酶解产物的理论水解度为39.29%,实际水解度为39.53%。