A concept of microstructure design for materials or materials microstructure engineering is proposed. The argument was suggested based on literature review and. some our new research work on second phase strengthening...A concept of microstructure design for materials or materials microstructure engineering is proposed. The argument was suggested based on literature review and. some our new research work on second phase strengthening mechanisms and mechanical property modeling of a particulate reinforced metal matrix composite. Due to development of computer technology, it is possible now for us to establish the relationship between microstructures and properties systematically and quantitatively by analytical and numerical modeling in the research scope of computerization materials. Discussions and examples on intellectual optimization of microstructure are presented on two aspects: grain boundary engineering and optimal geometry of particulate reinforcements in two-phase materials.展开更多
The uniform experiment design is an effective way of optimizing technology scheme for refining the grain size during multistage deformation. In this paper, it is adopted to evaluate the effect of each technology param...The uniform experiment design is an effective way of optimizing technology scheme for refining the grain size during multistage deformation. In this paper, it is adopted to evaluate the effect of each technology parameter on final grain size of AISI H13 hot work tool steel during multistage deformation. It has been verified that the technology scheme for refining the final grain size can be determined rapidly and efficiently with the aid of the uniform design. The results show that the deformation parameters and the intermission time after deformation of the first stage affect the final grain size remarkably. For AISI H13 hot work tool steel, the final grain size can be refined notably when deformation parameters for the first stage are set as follows: a deformation temperature range of 1?025 1?085 ℃; a true strain of above 0.26 and the interpass time between the first and the second stage of deformation less than 10 s.展开更多
The angular acceleration due to the spin effect increases the burning rate of solid propellant and changes the motor performance by increasing the operating pressure and decreasing the burning time. So it is important...The angular acceleration due to the spin effect increases the burning rate of solid propellant and changes the motor performance by increasing the operating pressure and decreasing the burning time. So it is important to know the grain regression taken place in the solid propellant rocket motor in the acceleration field. This study represents the grain regression analysis of two-dimensional axis-symmetric star grain configuration of the solid propellant rocket motor with spin induced acceleration effect and pressure effect on burn rate using geometrical and numerical analysis. While the rocket is spinning, the burn rates on each point of the propellant surface are different with its radial distance, acceleration vector angle and surface slope. With the different burn rates on the propellant surface, we analyze the propellant surface perimeter and port area, and these results are compared with those of constant burn rate and burn rate affected by the chamber pressure.展开更多
针对SAR图像船舶检测任务在船舶组合和船舶融合场景下低检测精度的问题,提出了一种轻量化船舶检测算法——RGDET-Ship,有效提高了SAR图像在复杂场景下的船舶检测精度。该算法的创新点包括:①构建基于改进ResNet的基础主干网络,增强深浅...针对SAR图像船舶检测任务在船舶组合和船舶融合场景下低检测精度的问题,提出了一种轻量化船舶检测算法——RGDET-Ship,有效提高了SAR图像在复杂场景下的船舶检测精度。该算法的创新点包括:①构建基于改进ResNet的基础主干网络,增强深浅网络早特征融合,保留更丰富的有效特征图,并利用RegNet进行模型搜索得到一簇最优结构子网络RegNet and Early-Add(RGEA),实现模型的轻量化;②在FPN Neck基础上,结合EA-fusion策略设计出FPN and Early Add Fusion(FEAF)Neck网络,进一步加强深浅特征晚融合,提高中大船舶目标特征的提取;③通过细粒度分析改进RPN网络得到Two-RPN(TRPN)网络,提高模型的检测粒度和预测框准确性;④引入多任务损失函数——Cross Entropy Loss and Smooth L1 Loss(CE_S),包括分类任务和回归任务,进一步提升检测性能。通过在标准基准数据集SSDD上进行大量实验,验证了RGDET-Ship模型的有效性和健壮性。实验结果表明,相较于Faster RCNN和Cascade RCNN,RGDET-Ship在mAP_0.5:0.95上分别提升了5.6%和3.3%,在AR上分别提升了9.8%和7.6%。展开更多
为减少联合收获机振动对谷物流量传感器监测结果的干扰,设计了一种基于声学黑洞(ABH,acoustic black hole)原理的谷物流量传感器龙门支架减振结构,通过有限元方法分析减振结构的振动特性,分析了二维声学黑洞比例系数ε、幂函数指数m和半...为减少联合收获机振动对谷物流量传感器监测结果的干扰,设计了一种基于声学黑洞(ABH,acoustic black hole)原理的谷物流量传感器龙门支架减振结构,通过有限元方法分析减振结构的振动特性,分析了二维声学黑洞比例系数ε、幂函数指数m和半径R对其减振性能的影响规律。结果表明,声学黑洞能够显著降低龙门支架的振动,ε、m和R对声学黑洞减振性能的影响均未表现出明显线性关系,当ε=0.001 2、m=2.5、R=15 mm时声学黑洞的减振效果最好。以振动速度平方和作为优化目标,建立了多项式回归代理模型,通过遗传算法对声学黑洞比例系数ε、幂函数指数m和半径R的取值进行了优化。相比于未添加声学黑洞的原始龙门支架和初始声学黑洞方案,优化后龙门支架的振动速度平方和分别降低68.92%和2%,表明优化方案具有更佳的减振性能。提出的基于声学黑洞的减振结构和优化设计方法为农业机械被动宽频减振研究提供了理论参考。展开更多
基金the National Natural Science Foundation of China for the financial support by the grant 50171018 and 59771015, and Education Ministry of China for an outstanding teacher research fund to this study. Some student work
文摘A concept of microstructure design for materials or materials microstructure engineering is proposed. The argument was suggested based on literature review and. some our new research work on second phase strengthening mechanisms and mechanical property modeling of a particulate reinforced metal matrix composite. Due to development of computer technology, it is possible now for us to establish the relationship between microstructures and properties systematically and quantitatively by analytical and numerical modeling in the research scope of computerization materials. Discussions and examples on intellectual optimization of microstructure are presented on two aspects: grain boundary engineering and optimal geometry of particulate reinforcements in two-phase materials.
基金TheNationalNaturalScienceFoundationofChina (No .5 0 0 75 0 5 3)
文摘The uniform experiment design is an effective way of optimizing technology scheme for refining the grain size during multistage deformation. In this paper, it is adopted to evaluate the effect of each technology parameter on final grain size of AISI H13 hot work tool steel during multistage deformation. It has been verified that the technology scheme for refining the final grain size can be determined rapidly and efficiently with the aid of the uniform design. The results show that the deformation parameters and the intermission time after deformation of the first stage affect the final grain size remarkably. For AISI H13 hot work tool steel, the final grain size can be refined notably when deformation parameters for the first stage are set as follows: a deformation temperature range of 1?025 1?085 ℃; a true strain of above 0.26 and the interpass time between the first and the second stage of deformation less than 10 s.
文摘The angular acceleration due to the spin effect increases the burning rate of solid propellant and changes the motor performance by increasing the operating pressure and decreasing the burning time. So it is important to know the grain regression taken place in the solid propellant rocket motor in the acceleration field. This study represents the grain regression analysis of two-dimensional axis-symmetric star grain configuration of the solid propellant rocket motor with spin induced acceleration effect and pressure effect on burn rate using geometrical and numerical analysis. While the rocket is spinning, the burn rates on each point of the propellant surface are different with its radial distance, acceleration vector angle and surface slope. With the different burn rates on the propellant surface, we analyze the propellant surface perimeter and port area, and these results are compared with those of constant burn rate and burn rate affected by the chamber pressure.
文摘针对SAR图像船舶检测任务在船舶组合和船舶融合场景下低检测精度的问题,提出了一种轻量化船舶检测算法——RGDET-Ship,有效提高了SAR图像在复杂场景下的船舶检测精度。该算法的创新点包括:①构建基于改进ResNet的基础主干网络,增强深浅网络早特征融合,保留更丰富的有效特征图,并利用RegNet进行模型搜索得到一簇最优结构子网络RegNet and Early-Add(RGEA),实现模型的轻量化;②在FPN Neck基础上,结合EA-fusion策略设计出FPN and Early Add Fusion(FEAF)Neck网络,进一步加强深浅特征晚融合,提高中大船舶目标特征的提取;③通过细粒度分析改进RPN网络得到Two-RPN(TRPN)网络,提高模型的检测粒度和预测框准确性;④引入多任务损失函数——Cross Entropy Loss and Smooth L1 Loss(CE_S),包括分类任务和回归任务,进一步提升检测性能。通过在标准基准数据集SSDD上进行大量实验,验证了RGDET-Ship模型的有效性和健壮性。实验结果表明,相较于Faster RCNN和Cascade RCNN,RGDET-Ship在mAP_0.5:0.95上分别提升了5.6%和3.3%,在AR上分别提升了9.8%和7.6%。
文摘为减少联合收获机振动对谷物流量传感器监测结果的干扰,设计了一种基于声学黑洞(ABH,acoustic black hole)原理的谷物流量传感器龙门支架减振结构,通过有限元方法分析减振结构的振动特性,分析了二维声学黑洞比例系数ε、幂函数指数m和半径R对其减振性能的影响规律。结果表明,声学黑洞能够显著降低龙门支架的振动,ε、m和R对声学黑洞减振性能的影响均未表现出明显线性关系,当ε=0.001 2、m=2.5、R=15 mm时声学黑洞的减振效果最好。以振动速度平方和作为优化目标,建立了多项式回归代理模型,通过遗传算法对声学黑洞比例系数ε、幂函数指数m和半径R的取值进行了优化。相比于未添加声学黑洞的原始龙门支架和初始声学黑洞方案,优化后龙门支架的振动速度平方和分别降低68.92%和2%,表明优化方案具有更佳的减振性能。提出的基于声学黑洞的减振结构和优化设计方法为农业机械被动宽频减振研究提供了理论参考。
