Experimental and numerical investigation on surface quality for two-point incremental sheet forming with interpolator

The unsatisfied surface quality seriously impedes the wide application of incremental sheet forming (ISF) in industrial field. As a novel approach, the interpolator method is a promising strategy to enhance the surface quality in ISF. However, the mechanism for the improvement of surface quality and the influence of interpolator properties on surface roughness are not well understood. In this paper, the influences of process variables (i.e. tool diameter, step size and thickness of interpolators) on the forming process (e.g. surface roughness, forming force and geometric error) are investigated through a systematic experimental approach of central composite design (CCD) in two-point incremental sheet forming (TPIF). It is obtained that the increase in thickness of interpolators decreases the surface roughness in direction vertical to the tool path while increases the surface roughness in direction horizontal to the tool path. Nevertheless, the combined influence between thickness of interpolators and process parameters (tool diameter and step size) is limited. Meanwhile, the placement of interpolator has little influence on the effective forming force of blank. In addition, the geometric error enlarges with the increase of step size and thickness of interpolator while decreases firstly and then increase with an increase in tool diameter. Finally, the influencing mechanism of the interpolator method on surface quality can be attributed to the decrease of the contact pressure due to the increase of contact area with the unchanged contact force. Meanwhile, the interpolator method eliminates the sliding friction on the surface of blank due to the stable relative position between the blank and the interpolator.     

A novel framework for liquid propellant engine’s cooling system design by sensitivity analysis based on RSM and multi-objective optimization using PSO

One of the challenges of combustion chamber and nozzle design in a Liquid Propellant Engine (LPE) is to predict the behavior and performance of the cooling system. Therefore, while designing, the optimization of the cooling system is always of great importance. This paper presents the multi-objective optimization of the LPE’s cooling system. To this end, a novel framework has been developed, resulting from the application of the Response Surface Method (RSM) and the correlation coefficients matrix, sensitivity analysis and the The Particle Swarm Optimization (PSO). based on this method, the input variables, constraints, objective functions, and their surfaces were identified. In terms of multi-optimization algorithms, RSM and PSO are utilized to get global optimum. In conclusion, the methodology capability is to optimize the LPE’s cooling system, 6 percentage increase in total heat transfer and 7 bar decrease cooling system pressure loss, which resulted in a 1.2-seconds increase in the specific impulse of the engine.     

硅烷偶联剂在防热涂料中的应用前景分析北大核心CSCD

硅烷偶联剂作为一种重要的处理剂,广泛应用于涂料、橡胶、塑料等领域。本文综述了硅烷偶联剂的结构特点和作用机理,介绍了硅烷偶联剂在常用涂料领域的几种典型应用,主要包括基体树脂增容、颜填料表面改性、涂层与基材连接,讨论了不同使用条件下影响硅烷偶联剂效果的因素,并对硅烷偶联剂在防热涂料中应用的发展趋势进行了展望。     

钛合金TC4的超硬磨料柔性抛光轮数控抛光试验研究

航空发动机叶片钛合金材料在数控磨抛加工中容易发生烧伤及黏附现象,针对常用的TC4材料开展了超硬磨料柔性抛光轮数控抛光试验研究。分析了超硬磨料柔性抛光轮抛光参数中转速、进给速度、预压量及行距对抛光去除深度及抛光后试件表面粗糙度的影响规律并通过正交试验分析了各抛光参数影响的主次关系。确认了钛合金试件抛光表面黏附物质成分,并同时分析了表面黏附物的形成原理。给出了TC4钛合金材料在超硬磨料柔性抛光轮数控抛光过程中工艺参数的选择策略,为TC4材料的航空发动机叶片和整体叶盘在超硬磨料柔性抛光轮数控抛光过程中提供理论依据和技术基础。     

表面温度传感器自动检定系统

介绍了一种用于表面温度传感器检定的数据采集、处理系统,此系统具有操作简单,使用方便,运行可靠等特点。     

卫星表面材料物性与电荷积累

卫星表面在地磁亚暴环境下积累电荷的现象是必然的。由于表面间物性的差别,这种积累将是不均衡的,然而一旦建立了电势差,那末表面与表面,表面与构架间就会存在电荷交换,使电势差逐渐趋于减小。文章试图通过物理模型的建立,由此推导出面间电势差变化与表面电势值及表面的电导、电容的关系,从而建立一种明确的数学模型,以利卫星表面充电状态的分析。     

返回式卫星数字姿态控制系统及飞行试验结果

简要介绍我国返回式卫星上用的计算机数字姿态控制系统的方案;重点阐述姿态确定和相平面控制律的设计方法;最后简述飞行试验的结果。     

型号研制的矩阵管理与两师系统

讨论了卫星型号研制中组织机构体制的深化改革问题;介绍了多型号通常采用的矩阵管理体制;论述了两师系统在矩阵管理中的作用;提出了加强两师系统的措施。     

综合效益模型求解方法的探讨

综合效益模型,是一种综合多因素影响的动态模型,它既包括一般效益模型,又考虑最优投资的优化效益模型。前者求解,可用解析法;后者求解,就不那么容易。文章分析了模型特征,认为是一个固定端点的最优控制问题,从而,选用格林定理（公式）能较好地求得满意解。     

激光辅助车削工艺参数对单晶硅表面质量的影响

为了提高单晶硅激光辅助车削加工表面质量,通过开展激光辅助和常规车削加工试验,结合表面粗糙度、表面形貌及拉曼光谱检测,研究激光辅助车削技术对加工质量的影响。基于正交试验方法,研究单晶硅激光辅助车削工艺参数对表面粗糙度的影响;通过方差分析和极差分析评估各因素对表面粗糙度的影响。研究结果表明：与常规车削相比,激光辅助车削可有效提高加工表面质量,降低材料表面的残余应力。主轴转速、进给速度、切削深度和脉冲占空比对表面粗糙度的贡献率分别为17.51%、44.48%、6.69%和14.70%。确定最佳加工参数组合如下：主轴速度为4 000 r/min,进给速度为2 mm/min,切削深度为5μm,脉冲占空比为30%,最终获得表面粗糙度Rq为2.4 nm的高质量表面。