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1.
了人工神经网络在材料工程中稳态优化的研究进展,并对今后的发展方向进行了探讨。  相似文献   

2.
材料设计专家系统与人工神经网络的应用   总被引:18,自引:0,他引:18  
针对材料设计的目标,介绍了两种人工智能方法,除了传统的专家系统外,着重介绍了近年来的最新进展-人工神经网络及其在设计中的应用。  相似文献   

3.
人工神经网络辅助材料研究进展及问题   总被引:3,自引:0,他引:3  
综述了人工神经网络在材料性能识别、预测及工艺优化方面应用的新进展,提出了存在的问题。  相似文献   

4.
辅助新材料设计的智能数据库   总被引:2,自引:0,他引:2  
本文研究了辅助新材料设计的智能数据库,它以图文数据库(包括化学成分,制备条件,材料微观结构等)中大量信息为基础,综合数据库,图象处理,模式识别,人工神经网络和优化决策等手段,完成材料配方设计和工艺参数优化设计。本文以实例介绍了智能数据库优化设计的过程。  相似文献   

5.
徐文峰  廖晓玲  刘希东 《材料导报》2006,20(Z2):237-240,257
人工神经网络技术广泛应用于复杂系统的建模中,已成为材料科学研究中常用的建模方法.介绍了BP神经网络及其建模的重要特征,综述了神经网络技术在材料性能预测方面的研究情况.  相似文献   

6.
人工神经网络在钢铁材料研究中的应用   总被引:3,自引:1,他引:2  
人工神经网络是近年发展起来的模拟人脑生物过程的具有人工智能的系统,在钢铁材料研究中有着广阔的应用前景.人工神经网络可根据钢的化学成分和/或加工工艺参数对微观组织、相变温度和时间及性能等做出快速准确预测,并可用于研究钢的上述各影响因素间的相互关系.研究人工神经网络也可用于钢的冶金过程及钢的表面处理过程工艺参数的预测及控制.  相似文献   

7.
在炭材料黏结剂添加剂改性实验数据的基础上,将神经网络方法用于研究添加剂配方和热处理温度对黏结强度的影响关系,建立了添加剂改性炭材料黏结剂的RBF(Radial Basis Function径向基函数)神经网络性能预报模型,并与BP(Back-Propagation逆传播)人工神经网络进行了预报精度和训练过程比较。结果表明:上述两种模型对于黏结强度的预报平均相对误差分别为0.0127和0.0600,且BP人工神经网络易陷入局部最小。因此,RBF神经网络模型的预报能力较好,得出了具有较精确黏结性能的添加剂配方和热处理数据。可望在炭材料黏结剂改性中的多变量、非线性体系中提高实验工作效率,为炭材料黏结剂提供一条有应用前景的理论设计途径。  相似文献   

8.
矿渣微晶玻璃材料设计神经网络模型   总被引:6,自引:0,他引:6  
研究了人工神经网络在矿渣微晶玻璃材料设计中的应用.采用基于变尺度法的新学习算法建立了三层前馈型神经网络,发现当网络结构为M-2M-1,取一定范围内的学习误差时,网络具有很好的学习效果.研究证明,建立的人工神经网络模型学习速度快,收敛稳定,强壮性好,能根据较少的实验样本有效抽取矿渣微晶玻璃组成、工艺和性能之间的内在规律,是进行微晶玻璃材料设计的有力工具.  相似文献   

9.
人工神经网络多目标法用于辅助V—PTC材料研制   总被引:2,自引:0,他引:2  
采用人工神经网络方法V-PTC材料设计的多目标优化。应用偏相关指数和目标拟合变量的方法探寻具有较姨性能样品的工艺条件和配方参数,并据此设计合成了数个优化样本,经实验测试达到了设计要求。  相似文献   

10.
用人工神经网络对PZT陶瓷进行性能分析与优化   总被引:1,自引:0,他引:1  
选取了几种常用的金属氧化物掺杂剂,在均匀实验结构的基础上用人工神经网络方法对掺杂PZT陶瓷的性能进行分析和优化,实验结果表明,掺杂PZT体系的人工神经网络模型要比多重非线形回归模型准确得多,而且以人工神经网络模型为指导对材料进行优化后的性能预测也比较准确,说明人工神经网络在陶瓷这种多组分固溶体材料的性能分析中具有良好的使用前景。  相似文献   

11.
Summary Multi-attribute utility analysis (MAUA) has emerged as a powerful tool for materials selection and evaluation. An operations research technique, MAUA has been used in a wide range of engineering areas, of which materials science and engineering is one of the more recent. Utility analysis affords a rational method of materials selection which avoids many of the fundamental logical difficulties of many widely used alternative approaches. However, MAUA has traditionally been used in materials selection problems only, in which there is certainty regarding the attribute levels of the alternatives. For many new technologies this is not the case. Another operations research technique, subjective probability assessment (SPA), can be used to address this issue. SPA makes it possible to measure a probabilistic distribution describing the confidence of the decision maker in the levels of attributes for which there is a high degree of uncertainty. These probability distributions can be used in conjunction with MAUA to provide a consistent framework for making materials selection decisions. Furthermore, the use of these techniques extends beyond the problem of materials selection into the more speculative areas of materials competitiveness and market demand in cases involving new, unproven technologies.  相似文献   

12.
There has been a great interest for improving the machining of composite materials in the aerospace and other industries. This paper focuses on the comparative study of jetting techniques and laser machining technics. This paper concentrates on the machining of composite materials like epoxy pre-impregnated graphite woven fabric and fibre reinforced plastic materials that are used in aerospace industries. While considering machining these materials with the traditional machining there are many disadvantages projected. One of these advantages is that all the traditional machining processes involve the dissipation of heat into the workpiece. This serious shortcoming has been dealt by the jetting technologies, which, contrary to the traditional machining, operate under cold conditions. The two methods in the jetting technologies used for processing materials are water jet machining and abrasive water jet machining. The first of these, water jet machining, has been around for the past 20 years and has paved the way for abrasive water jet technology. Water jet machining and abrasive water jet machining have been used for processing composite materials because of the advantages offered by this technologies as compared to traditional techniques of processing. The high surface and structural integrity required of any technique used for processing composite materials has created an opportunity for abrasive water jet machining. Cutting of composites using laser is also an option, and experiments were also conducted to reveal the extent of using laser technique.  相似文献   

13.
It has recently been proposed that the pozzolanicity of supplementary cementitious materials can be determined by monitoring the heat released when supplementary cementitious materials are mixed with calcium hydroxide at high temperature and high pH. In this study, the heat release is measured using this procedure for a variety of different supplementary cementitious materials. In addition, thermogravimetric analysis is performed on the reacted material to determine the amount of calcium hydroxide consumed. The heat release and calcium hydroxide consumption can be used in conjunction to compare supplementary cementitious materials. Calcium hydroxide consumption can be used to determine the extent of reaction of supplementary cementitious materials in pastes where supplementary cementitious materials are used to replace a portion of cement.  相似文献   

14.
Repetitive upsetting-extrusion (RUE) that was originally invented to process powder materials for bulk mechanical alloying is currently being used to process bulk materials. Bulk materials are subjected to severe plastic deformation using the same die design that was used to process powder materials. As the deformation behaviour of powder and bulk materials are quite different, it has to be evaluated whether a single die design is suitable to process both these materials. Further, information on the deformation behaviour and strain homogeneity that can be achieved by subjecting bulk materials to RUE process are also currently not available. To address these issues, both numerical analysis and actual experiments on commercial pure copper has been carried out. The results obtained are presented and discussed here  相似文献   

15.
目的 总结和展望可见光波段自适应伪装材料和红外波段自适应伪装材料的发展趋势及应用现状,为进一步研究和应用提供参考.方法 基于军用服饰对抗的不同波段,总结归纳了光致变色材料、电致变色材料、热致变色材料、相变材料、电致变发射率材料、电致变温材料和光子晶体材料的发展现状.结果 自适应伪装材料在军用服饰上的应用形式多,且相关产品在不断更新换代.结论 光学自适应伪装材料可适应不同场景不同要求下的变色需求,电致变发射率材料等红外自适应伪装材料可以用于军用红外伪装中,进一步完善可实现自适应红外隐身,人工光子晶体材料作为自适应伪装材料也可用于军用产品,目前已从多角度进行研发、实验,具有很大的应用前景及发展潜力.  相似文献   

16.
Polymers in concrete: a vision for the 21st century   总被引:13,自引:0,他引:13  
Polymers in concrete have received considerable attention over the past 25 years. Polymer-impregnated concrete (PIC) was the first concrete polymer composite to receive widespread publicity. PIC has excellent strength and durability properties, but it has few commercial applications. Polymer concrete (PC) became well known in the 1970s and is used for repair, thin overlays for floors and bridges, and for precast components. Polymer-modified concrete (PMC) has been used primarily for repair and overlays. Several limitations have slowed the use of concrete polymer materials. However, there are many current and future uses for these materials that will effectively use their unique properties. Improved, automated repair methods, improvements in materials, replacements for metals, structural applications, and architectural components will prove to be popular uses of concrete-polymer materials.  相似文献   

17.
材料力学性能的微型杯突试验评述   总被引:6,自引:0,他引:6  
评述了新型的材料力学性能的微型杯突试验法,它采用微型薄片试样,依据试验的载荷-变形参量,建立微型杯突试验的力学性能指标与常规力学性能试验的力学性能指标之间相关联的定量关系,从而形成了适用范围广泛的新型的材料力学性能试验法。在国外,它用于受辐照材料脆化的评定,材料强度、塑性、韧-脆转折温度、断裂韧度、持久强度、蠕变等的测试,现役材料剩余寿命的评估和失效分析等。用它研究的材料有核电材料、各种金属和合金、复合材料、高分子材料、陶瓷材料、生物材料等。所应用的领域有核工业、电力、化工、机械、医疗等。它独特的试验方法和取样优势使其获得了愈来愈多的重视。基于该试验方法的优势和广泛的应用领域,建议建立微型杯突试验标准,以利于实验数据和信息的共享和工程应用。  相似文献   

18.
近年来纳米材料的应用已经成为隐身技术领域中的一个研究热点,纳米材料由于其独特的理化性能及优良的电磁吸收特性,成为最具潜力的功能型隐身材料。分析了纳米材料的隐身作用机理,概述了近年来纳米材料在可见光、红外、雷达、激光、声波及多波段隐身技术中的应用现状,并展望了纳米材料在隐身技术中的发展方向。  相似文献   

19.
有机大分子在有序多孔材料制备中的应用   总被引:1,自引:0,他引:1  
多孔性材料广泛用于阻隔材料、结构材料、催化剂材料、分离与吸附等领域。随着纳米技术的迅速发展,高度有序的多孔性材料由于其在光电子、新型催化荆、高效吸附荆和分离介质、电极材料、生物医学领域种种潜在的用途而倍受瞩目。如何快速、高效地制备有序多孔材料是一项艰巨的任务。文中主要介绍有机大分子在有序多孔材料制备中的应用。  相似文献   

20.
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