Real-time prediction of projectile penetration to laminates by training machine learning models withfinite element solver as the trainer

Studies on ballistic penetration to laminates is complicated, but important for design effective protection of structures. Experimental means of study is expensive and can often be dangerous. Numerical simu-lation has been an excellent supplement, but the computation is time-consuming. Main aim of this thesis was to develop and test an effective tool for real-time prediction of projectile penetrations to laminates by training a neural network and a decision tree regression model. A large number of finite element models were developed;the residual velocities of projectiles fromfinite element simulations were used as the target data and processed to produce sufficient number of training samples. Study focused on steel 4340tpolyurea laminates with various configurations. Four different 3D shapes of the projectiles were modeled and used in the training. The trained neural network and decision tree model was tested using independently generated test samples using finite element models. The predicted projectile velocity values using the trained machine learning models are then compared with thefinite element simulation to verify the effectiveness of the models. Additionally, both models were trained using a published experimental data of projectile impacts to predict residual velocity of projectiles for the unseen samples. Performance of both the models was evaluated and compared. Models trained with Finite element simulation data samples were found capable to give more accurate predication, compared to the models trained with experimental data, becausefinite element modeling can generate much larger training set, and thus finite element solvers can serve as an excellent teacher. This study also showed that neural network model performs better with small experimental dataset compared to decision tree regression model.     

SDH－5／CLZ－Ⅰ型水深数据采集处理与串行发送装置

本文描述了ＳＤＨ－５型测深仪的基本工作原理,并针对国产ＳＤＨ系列模拟式水深测量仪器存在水深数据与定位数据记录时间不一致、水深测量数据判读误差大、自动化程度低、内业数据处理工作量大等缺陷,介绍了作者应用单片机技术研制的ＳＤＨ－５／ＣＬＺ－Ⅰ型水深数据采集、处理与串行发送装置。该装置可使ＳＤＨ－５型回声测深仪的上述缺陷得以弥补,并对提高ＳＤＨ系列模拟式水深测量仪的测量精度和自动化程度具有较大的实用价值。     

多武器平台目标域协同射击控制模型研究

目标域协同射击控制模型是在单平台火控系统空域窗射击控制、射击门控制等基础上,针对多武器平台对点目标或面目标协同射击的需求,进行了目标域和射击效能的定义,提出了空间/时间复合三维射击门的概念,设计了三维射击门模型,分别建立了多武器平台对点目标射击控制模型和多武器平台对面目标射击控制模型,通过对多武器平台协同射击效能的计算分析,证明了目标域协同射击控制模型可显著提高多武器平台协同射击对目标的火力打击效能.     

亚共析钢碳化物相的快速直接球化

依据作者关于钢中奥氏体晶粒尺寸影响相变产物中碳化物形态的观点， 本文分析研究了精轧过程中与碳化物球化有关的金属学问题； 指出在临界温度以下对过冷奥氏体实施精轧， 因铁素体“超量”析出而使奥氏体晶粒细化， 并随精轧形变量的增加， 在晶内诱发共析相变； 精轧后的钢继续在精轧温度短时停留， 可实现碳化物相的优良球化。     

可编程控制器直流调速系统通信监控

研究了 Ｓ Ｉ Ｅ Ｍ Ｅ Ｎ Ｓ可编程控制器与具有通信功能的直流调速器之间的通信控制，通过对系统的硬件配置、控制方式、通信软件实现介绍，给出了应用 Ｐ Ｌ Ｃ进行直流调速器串行通信监控的方法。     

生成n元数的全体排列的一个算法

许多组合问题可以表达为minf(q),其中q为1,2,…,n的任一排列。关于排列生成的各种算法,文献[1]作了全面的介绍,并且进行了比较分析。本文从集合映射出发,得到了一个算法。在这个算法的基础上,对每个排列可以得到一个序号,对每个序号可以得到一个排列,并且可以从任一给定的排列开始生成全体排列。     

高超声速滑翔飞行器倾斜转弯分析及控制系统设计

倾斜转弯技术是高超声速滑翔飞行器控制的一个重要发展方向.针对高超声速滑翔飞行器倾斜转弯技术开展研究.以平衡滑翔弹道为参考弹道,分析了转弯半径、下降高度、倾侧角等参数之间的关系,提出在设计高超声速滑翔飞行器制导控制指令时,应综合考虑不同高度速度下的控制能力约束.根据奇异摄动理论将动力学系统的受控状态变量分为快变量和慢变量两部分,运用轨迹线性化方法设计了控制系统.仿真结果表明,设计的控制器具有良好的控制性能,但随着高度的增加,控制指令应结合实际控制能力,以完成对飞行器的姿态控制.     

DETECTION OF TRANSIENT SIGNAL USING THE DISCRETE WAVELET TRANSFORM

ＤＥＴＥＣＴＩＯＮＯＦＴＲＡＮＳＩＥＮＴＳＩＧＮＡＬＵＳＩＮＧＴＨＥＤＩＳＣＲＥＴＥＷＡＶＥＬＥＴＴＲＡＮＳＦＯＲＭＬｉｕＺｈｅｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＩｎｆｏｒｍａｔｉｏｎＥｌｅｃｔｒｏｎｉｃｓ,ＦａｃｕｌｔｙｏｆＥｎｇｉｎｅｅｒｉｎｇ,Ｎａ...     

实时图像的采集与显示

本文介绍了一个实时图象采集与显示系统,较为详细地说明了系统的工作原理,分析了各部分的实现过程。特别是本系统中引入多体存储器存储图象的方法,改善了数据接口的带宽,实现了图象数据采集、存储、传送的实时操作。     

铝合金隔热涂层研究

本工作研究了在ＬＹ１２表面用等离子喷涂氧化锆隔热涂层的热传导性能和抗热震性能及气孔率对这些性能的影响。结果表明,在所选择的最佳工艺参数和厚度下,涂层具有良好的绝热性和抗热震性。