Laser surface alloying of Gr22 ferritic steel with Ni(Al): Effect of processing parameters on the microstructure and high temperature performance

The aim of this work is modify the surface composition of a Gr22 ferritic steel component with Ni(Al) using a high-power diode laser (HPDL). Two different combinations of parameters were used to obtain a superficial alloy modification macroscopically homogenous, with low porosity and low presence of cracks. From a microscopically point of view the surface presents a band structure due to the rapid cooling process. Isothermal oxidation tests at 640 °C were performed to evaluate the performance of the solution at high temperature. The introduction of Ni(Al) with this technique has allowed to reduce the degradation of the components, without modifying the ferritic structure of the steel.     

610MPa级压力容器用钢回火工艺参数的研究

研究了回火温度及回火时间对27 mm厚610 MPa级压力容器用钢组织及力学性能的影响.研究结果表明,该厚度的钢材在回火温度630-650 ℃、回火时间70 min左右时可以获得均匀的回火贝氏体组织,综合力学性能达到较高水平.     

输气管线副管与变径管设计技术经济分析：最低费用法

在输气管线设计中,为了调整压缩机站之间的距离和增加管线的输量,常需要在管线中敷设一定长度的副管或变径管。本文从投资最省的角度出发,论述了输气管线中所需副管与变径管的投资与其直径之间的变化关系,建立了相应的数学模型。然后根据数学模型,给出了计算输气管线中所需副管与变径管最优技术参数(直径,壁厚和长度)的计算公式和方法。     

国外引进设备的三槽变螺距凸轮测绘及研制

本文根据三槽变螺距凸轮的测绘，指出易损部位并对其参数进行计算，剖析了传动齿数与螺旋升角的关系，并提出设计一套专用装置，装配在普通精密铣床上．通过控制以实现复杂零件加工的方法．此方法具有成本低、加工精确、易操作，运动方便等特点．     

微动力测试仪原理及应用

微动力测试是指：被微机构的动态微力矩Ｍ，微力矩所作的微功Ａ，瞬时微功率Ｐ，以及它们的最大值和一些相关参数的测量，其测量方法和测试仪器的原理包括了应变式微力传感器和力－力矩转换机构，本文给出了微力传感器设计、实验的推导以及实验数据；针对微动力测试的特点独特设计了速度模拟系统的工作原理；测试仪器的整体的结构原理；最后给出了一些微型精密机构的实测结果。     

新研制塑料模具钢电火花加工机理研究

对一新研制塑料模具钢从切削机理角度，进行电火花加工性能研究，并与同类进口钢进行对比，为新钢种研制提供了支持数据，可直接指导企业生产。     

An Improving Subdivision Scheme for Curve Design

This paper extends the classical 4-point interpolatory subdivision scheme, and brings forward a new 4-point subdivision scheme with Three Parameters for Curve Design. We discuss the influence of three parameters to limit curve and realize the adjustment and control to it by choosing these three parameters appropriately, The sufficient conditions of the uniform convergence and continuity properties of the subdivision scheme are given.     

Parameter selection of support vector regression based on hybrid optimization algorithm and its application

Choosing optimal parameters for support vector regression (SVR) is an important step in SVR design, which strongly affects the performance of SVR. In this paper, based on the analysis of influence of SVR parameters on generalization error, a new approach with two steps is proposed for selecting SVR parameters . First the kernel function and SVM parameters are optimized roughly through genetic algorithm, then the kernel parameter is finely adjusted by local linear search. This approach has been successfully applied to the prediction model of the sulfur content in hot metal. The experiment results show that the proposed approach can yield better generalization performance of SVR than other methods.     

Study on Cure Behavior of a Model Epoxy System by Means of TTT Diagram

Duetotheirhighstrength,modulusandfracture toughnessaswellasgoodadhesionandthermalre sistance[1],epoxyresinsasmatricesarewidelyused inaeronautics,astronautics,transportation,sports andotherindustry.Standardepoxyresinsareusually basedonDGEBA(diglycidyletherofbisphenolA),whichneedsactivehydrogenorotheractivegroupsto opentwoepoxyrings.Four functionalepoxylike TGMDA(tetraglycidylmethylenedianiline)isoften usedforhigh performanceepoxymatrixcomposites becauseofitsrelativelyhighercross linkingdens…     

New Approach to Designing Multilayer Feedforward Neural Network Architecture for Modeling Nonlinear Restoring Forces. II: Applications

Based on the basic formulation developed in a companion paper, the writers now present the application of an artificial neural network approach to designing streamlined network models to simulate and identify the nonlinear dynamic response of single-degree-of-freedom oscillators using the restoring force-state mapping interpretation. The neural networks which use sigmoidal activation functions are shown to be highly robust in modeling a wide variety of commonly observed nonlinear structural dynamic response behaviors. By streamlining the networks, individual network model parameters take on physically or geometrically interpretable meaning, and hence, the network initialization can be achieved through an engineered approach rather than through less physically meaningful numerical initialization schemes. Although not proven in general, examples show that by starting with a more meaningful initial design, identification convergence is improved, and the final identified model parameters are seen to have a more physical meaning. A set of model architecture prototypes is developed to capture commonly observed nonlinear response behaviors.