基于国产金锡焊料的功率芯片焊接工艺及可靠性研究

金锡焊料具有强度高、抗氧化性好、抗疲劳、蠕变性能优良等优点，在混合集成电路中得到越来越多的应用，尤其是在大功率高可靠集成电路中通过共晶焊接来降低封装热阻和提高芯片焊接可靠性。本文分析了国产金锡焊料的基础特性，基于国产金锡焊料采用手动方式进行功率芯片摩擦共晶焊接关键控制参数焊接工艺研究；对功率芯片金锡焊接宇航应用可靠性进行验证。结果表明，经历系列严苛的宇航环境热力学试验，剪切强度满足相关标准要求并保持强度稳定，显示了焊接的高可靠性。     

Reliability analysis of arresting hook engaging arresting cable for carrier-based aircraft influenced by multifactors

The carrier-based aircraft landing and arrest process is complex and nonlinear, and includes the coupling effect between the aircraft and arresting system. It has many uncertain factors, which lead to difficulty in the reliability analysis. To make the reliability analysis more accurate and effective, this paper presents some studies. Taking a certain type of carrier-based aircraft as the research object, a dynamic model of the landing and arrest cable was established, and the accuracy of the model was verified using laboratory test results. Based on the model, this paper shows how the key parameters, including the sinking velocity, pitch angle and horizontal velocity, affect the collision rebound performance of the arresting hook. After that, a limit state equation of the arresting hook system’s reliability was established. For the implicit limit state equation, a surrogate model of the reliability of the arresting hook was established using the Support Vector Machine (SVM) method, and then reliability analysis was carried out using the Monte Carlo method. Finally, it was explained in detail how the key parameters affect the reliability of the hook engaging the arresting cable, and some meaningful conclusions were obtained. This analysis method and its results can provide a reference for the top-level parameter design of carrier-based aircraft and reliability research on the arresting systems.     

基于支持向量机的抗干扰决策技术

为了应对日益复杂的电磁环境，认知雷达的概念被引入电子战中。认知电子战系统包括认知侦察、认知对抗和认知效能评估3个重要环节。针对认知电子战系统对抗干扰决策技术的需求，为实现自适应的决策抗干扰措施，将支持向量机(SVM)算法运用于抗干扰决策中。仿真结果表明:基于SVM的抗干扰决策技术可以自适应地决策抗干扰措施，进行干扰对抗，该算法完成了认知电子战中的最后的一步，使认知电子战系统实现闭环。     

航空发动机叶片高精度自动测量系统

为了解决叶片完整型面自动测量存在的问题,提出了一种叶片高精度自动测量融合系统.系统结合双目三维扫描装置和电控转台,利用高精度校准平面旋转,通过平面拟合、虚拟转轴及角度计算,获取高精度四元数及中心位置坐标后完成自身定位.多次测量数据以中心坐标为中心,进行四元数运算,即可实现叶片实时测量融合.对融合后数据采用阈值迭代就近点(ICP)算法收敛处理消除机械转动误差.结果表明:系统装置综合精度为0.03~0.04mm,可自动、高效、稳定地实现发动机叶片的高精度测量.