Two-mm thick A1050 pure aluminum plates were successfully joined by conventional and rapid cooling friction stir welding(FSW), respectively. The microstructure and mechanical properties of the welded joints were inves...Two-mm thick A1050 pure aluminum plates were successfully joined by conventional and rapid cooling friction stir welding(FSW), respectively. The microstructure and mechanical properties of the welded joints were investigated by electron backscatter diffraction characterization, Vickers hardness measurements, and tensile testing. The results showed that liquid CO_(2) coolant significantly reduced the peak temperature and increased the cooling rate, so the rapidly cooled FSW joint exhibited fine grains with a large number of dislocations. The grain refinement mechanism of the FSW A1050 pure aluminum joint was primarily attributed to the combined effects of continuous dynamic recrystallization, grain subdivision, and geometric dynamic recrystallization. Compared with conventional FSW, the yield strength, ultimate tensile strength, and fracture elongation of rapidly cooled FSW joint were significantly enhanced, and the welding efficiency was increased from 80% to 93%. The enhanced mechanical properties and improved synergy of strength and ductility were obtained due to the increased dislocation density and remarkable grain refinement. The wear of the tool can produce several WC particles retained in the joint, and the contribution of second phase strengthening to the enhanced strength should not be ignored.展开更多
传统的基于稀疏恢复的波达方向(direction of arrival,DOA)估计算法使用密集的采样网格,导致计算量显著增加,且对邻近入射信号的估计精度不高。针对这一问题,提出一种快速高精度DOA估计算法。该算法首先使用网格进化方法降低网格点总数...传统的基于稀疏恢复的波达方向(direction of arrival,DOA)估计算法使用密集的采样网格,导致计算量显著增加,且对邻近入射信号的估计精度不高。针对这一问题,提出一种快速高精度DOA估计算法。该算法首先使用网格进化方法降低网格点总数。然后,对噪声方差和信号功率进行二次估计,进而使用离网求根稀疏贝叶斯学习(off-grid root sparse Bayesian learning,OGRSBL)技术来实现入射角的精确估计。仿真表明,相比传统稀疏贝叶斯学习类算法,所提算法计算效率高,同时对紧邻信号有着更好的估计能力。展开更多
针对常见雷达信号识别方法不能适应小脉宽信号识别的问题,本文提出了一种基于频谱复杂度的雷达信号调制方式识别方法。该方法通过提取信号频谱复杂度特征、信号平方频谱特征、谱峰特征以及最小二乘直线拟合方差特征,以4个特征参数为出发...针对常见雷达信号识别方法不能适应小脉宽信号识别的问题,本文提出了一种基于频谱复杂度的雷达信号调制方式识别方法。该方法通过提取信号频谱复杂度特征、信号平方频谱特征、谱峰特征以及最小二乘直线拟合方差特征,以4个特征参数为出发点,设计了一个基于频谱复杂度的树形结构流程。该流程首先对雷达信号的频谱序列进行量化,计算量化后的6种雷达信号的频谱复杂度,根据信号频谱复杂度的不同进行分类,然后根据所求特征参数对6种雷达信号进行分层次识别。仿真结果表明,基于频谱复杂度的雷达信号调制方式识别方法能够实现在窄脉冲的情况下的雷达信号调制方式识别,当信噪比大于6 d B时具有比较好的识别效果。展开更多
针对小型无人机目标雷达回波弱、目标检测难的问题,研究了在线性调频连续波(linear frequency modulation continuous wave,LFMCW)体制雷达下的长时间相参积累方法。通过推导LFMCW雷达回波表达式,提出了基于时域差频信号线性调频-Z变换...针对小型无人机目标雷达回波弱、目标检测难的问题,研究了在线性调频连续波(linear frequency modulation continuous wave,LFMCW)体制雷达下的长时间相参积累方法。通过推导LFMCW雷达回波表达式,提出了基于时域差频信号线性调频-Z变换的拉东-傅里叶变换实现方法。评估了该方法的运算量,并与频域实现的方法进行对比。经过仿真和实测数据验证了本文算法对LFMCW雷达下的弱目标相参积累的有效性。展开更多
基金Funded by the Natural Science Foundation of Jiangsu Province(No.BK20211067)“Qing Lan” Project of Jiangsu Province。
文摘Two-mm thick A1050 pure aluminum plates were successfully joined by conventional and rapid cooling friction stir welding(FSW), respectively. The microstructure and mechanical properties of the welded joints were investigated by electron backscatter diffraction characterization, Vickers hardness measurements, and tensile testing. The results showed that liquid CO_(2) coolant significantly reduced the peak temperature and increased the cooling rate, so the rapidly cooled FSW joint exhibited fine grains with a large number of dislocations. The grain refinement mechanism of the FSW A1050 pure aluminum joint was primarily attributed to the combined effects of continuous dynamic recrystallization, grain subdivision, and geometric dynamic recrystallization. Compared with conventional FSW, the yield strength, ultimate tensile strength, and fracture elongation of rapidly cooled FSW joint were significantly enhanced, and the welding efficiency was increased from 80% to 93%. The enhanced mechanical properties and improved synergy of strength and ductility were obtained due to the increased dislocation density and remarkable grain refinement. The wear of the tool can produce several WC particles retained in the joint, and the contribution of second phase strengthening to the enhanced strength should not be ignored.
文摘针对常见雷达信号识别方法不能适应小脉宽信号识别的问题,本文提出了一种基于频谱复杂度的雷达信号调制方式识别方法。该方法通过提取信号频谱复杂度特征、信号平方频谱特征、谱峰特征以及最小二乘直线拟合方差特征,以4个特征参数为出发点,设计了一个基于频谱复杂度的树形结构流程。该流程首先对雷达信号的频谱序列进行量化,计算量化后的6种雷达信号的频谱复杂度,根据信号频谱复杂度的不同进行分类,然后根据所求特征参数对6种雷达信号进行分层次识别。仿真结果表明,基于频谱复杂度的雷达信号调制方式识别方法能够实现在窄脉冲的情况下的雷达信号调制方式识别,当信噪比大于6 d B时具有比较好的识别效果。
文摘针对小型无人机目标雷达回波弱、目标检测难的问题,研究了在线性调频连续波(linear frequency modulation continuous wave,LFMCW)体制雷达下的长时间相参积累方法。通过推导LFMCW雷达回波表达式,提出了基于时域差频信号线性调频-Z变换的拉东-傅里叶变换实现方法。评估了该方法的运算量,并与频域实现的方法进行对比。经过仿真和实测数据验证了本文算法对LFMCW雷达下的弱目标相参积累的有效性。
