摘要：The martensitic transformation temperature is the basis for the application of shape memory alloys(SMAs),and the ability to quickly and accurately predict the transformation temperature of SMAs has very important practical *** this work,machine learning(ML)methods were utilized to accelerate the search for shape memory alloys with targeted properties(phase transition temperature).A group of component data was selected to design shape memory alloys using reverse design method from numerous unexplored *** modeling and feature modeling were used to predict the phase transition temperature of the shape memory *** experimental results of the shape memory alloys were obtained to verify the effectiveness of the support vector regression(SVR)*** results show that the machine learning model can obtain target materials more efficiently and pertinently,and realize the accurate and rapid design of shape memory alloys with specific target phase transition *** this basis,the relationship between phase transition temperature and material descriptors is analyzed,and it is proved that the key factors affecting the phase transition temperature of shape memory alloys are based on the strength of the bond energy between *** work provides new ideas for the controllable design and performance optimization of Cu-based shape memory alloys.

摘要：Inspired by nature,various biomimetic materials have been synthesized for enhanced mechanical properties,among which composites with brick-and-mortar structures attract the most *** such bio-inspired composites,the matrix layer mainly functions to transfer load between bricks through shearing,while the shear stress in the matrix is not uniform but highly concentrated on the interface ends,which tends to initiate cracks and evoke interface delamination in *** enhance the composites’resistance to interface delamination,we propose to homogenize the shear stress by adopting a matrix with a gradient modulus.A theoretical solution to the optimal gradient modulus of the matrix layer is obtained,followed by computational ***,composites with such functionally graded matrices are further demonstrated to possess higher elastic limits,higher resilience,and flaw tolerance than the uniform *** results of this paper should be of great value to the design and synthesis of advanced structural materials for superior mechanical performance.

摘要：Attaining a decarbonized and sustainable energy system,which is the core solution to global energy issues,is accessible through the development of hydrogen ***-exchange membrane water electrolyzers(PEMWEs)are promising devices for hydrogen production,given their high efficiency,rapid responsiveness,and *** plates account for a relatively high percentage of the total cost and weight compared with other components of ***,optimization of their design may accelerate the promotion of *** paper reviews the advances in materials and flow-field design for bipolar ***,the working conditions of proton-exchange membrane fuel cells(PEMFCs)and PEMWEs are compared,including reaction direction,operating temperature,pressure,input/output,and ***,the current research status of bipolar-plate substrates and surface coatings is summarized,and some typical channel-rib flow fields and porous flow fields are ***,the effects of materials on mass and heat transfer and the possibility of reducing corrosion by improving the flow field structure are ***,this review discusses the potential directions of the development of bipolar-plate design,including material fabrication,flow-field geometry optimization using threedimensional printing,and surface-coating composition optimization based on computational materials science.

摘要：建立了超燃冲压发动机二维进气道的优化设计模型 ,运用优化设计方法对三楔角外压和二楔角内压的混压式进气道进行了不同约束条件下的一维优化设计。运用数值方法对进气道的优化设计进行了二维验算 ,验证了优化设计模型及设计方法的正确性。在此基础上将数值计算方法应用于进气道的二维优化设计 ,进一步提高了进气道的性能。该方法可进一步推广应用于包含三维、真实气体流动的进气道优化设计当中。

摘要：均匀设计方法已广泛应用于生产和试验中。为减少实验次数 ,得到制备浸渍炭的最佳配方 ,采用均匀设计方法对实验进行了设计 ,得到了试验条件下的数学模型。试验结果表明 :在多因素多水平试验中 ,采用均匀设计方法可大大减少试验次数 。

摘要：建立了超燃冲压发动机一体化设计的优化模型,研究了超燃冲压发动机在总体性能要求与约束条件下,进气道、燃烧室(含隔离段)、尾喷管之间的性能匹配和参数优化。针对将计算流体力学(CFD)方法应用到优化设计过程中所带来的运算量巨大的问题,引入了基于PVM(并行虚拟机)的遗传算法,为包含有复杂流场计算过程的优化设计问题提出了一条易于实现并经济、可靠的解决途径。

摘要：The feature of Ternary Content Addressable Memories(TCAMs) makes them particularly attractive for IP address lookup and packet classification applications in a router system. However,the limitations of TCAMs impede their utilization. In this paper,the solutions for decreasing the power consumption and avoiding entry expansion in range matching are addressed. Experimental results demonstrate that the proposed techniques can make some big improvements on the performance of TCAMs in IP address lookup and packet classification.

摘要：为了发展一套快速有效的塞式喷管型面设计方法,分析了塞式喷管的总膨胀面积比、内膨胀面积比和内喷管倾角与塞式喷管膨胀能力之间的联系,采用二阶和三阶多项式来分段描述塞式喷管的所有型面曲线,并给出了确定各段型面曲线的方法。研究了膨胀面积比对外形尺寸的影响,设计了两套不同类型的实验塞式喷管型面来进行冷流实验验证。结果表明:所设计的塞式喷管具有很好的高度补偿能力。

摘要：合理的井眼轨道设计是成功控制井眼轨道的关键。准确、快速、合理地设计多约条件下的三维井眼轨道是人们期待解决的问题。文中建立了给定目标点位置和井眼方向的三维轨道设计的一般数学模型 ,利用矢量分析理论得到了约束变量间的解析表达式和井眼轨道计算式。这种方法避免了求解多维非线性方程组 ,设计计算简单、精确。应用该模型成功地解决了复杂的多约束条件下的三维井眼轨道设计这一难题 ,具有普遍适用性 ,可广泛用于设计各种类型的水平井、定向井和多目标井 。

摘要：Nonreciprocity of thermal metamaterials has significant application prospects in isolation protection,unidirectional transmission,and energy ***,due to the inherent isotropic diffusion law of heat flow,it is extremely difficult to achieve nonreciprocity of heat *** review presents the recent developments in thermal nonreciprocity and explores the fundamental theories,which underpin the design of nonreciprocal thermal metamaterials,i.e.,the Onsager reciprocity ***,three methods for achieving nonreciprocal metamaterials in the thermal field are elucidated,namely,nonlinearity,spatiotemporal modulation,and angular momentum bias,and the applications of nonreciprocal thermal metamaterials are *** also discuss nonreciprocal thermal ***,the potential applications of nonreciprocity to other Laplacian physical fields are ***,the prospects for advancing nonreciprocal thermal metamaterials are highlighted,including developments in device design and manufacturing techniques and machine learning-assisted material design.