Both solute-segregated long-period stacking ordered(LPSO)structure and stacking faults(SFs)are essential in strengthening rare-earth(RE)Mg alloys.Herein,LPSO-enriched Mg and SFs-enriched Mg are fabricated and comparab...Both solute-segregated long-period stacking ordered(LPSO)structure and stacking faults(SFs)are essential in strengthening rare-earth(RE)Mg alloys.Herein,LPSO-enriched Mg and SFs-enriched Mg are fabricated and comparably investigated for fatigue performances.During fatigue,the Mg nanolayers between LPSO lamellae or SFs act as the gliding channels of dislocations.However,SFs-enriched Mg exhibits outstanding fatigue strength due to solute strengthening within Mg nanolayers.Solute strengthening is assumed to contribute to the local accumulation of basal dislocations and the activation of non-basal dislocations.Dislocations are restricted locally and cannot glide long distances to specimen surfaces,which mitigates fatigue-induced extrusions and slip markings,ultimately leading to an increase in fatigue strength.These findings guide the development of RE-Mg alloys towards a synergy between high tensile and high fatigue performances.展开更多
提出了一种将Shape from Silhouette(SfS)技术应用在三坐标机上的新方法,即用摄像机获取图像,用三坐标机作移动平台,构建视觉测量系统,应用SfS技术对物体进行三维测量。该视觉测量系统扩展了坐标机功能,扩大了其应用范围。实验结果表明...提出了一种将Shape from Silhouette(SfS)技术应用在三坐标机上的新方法,即用摄像机获取图像,用三坐标机作移动平台,构建视觉测量系统,应用SfS技术对物体进行三维测量。该视觉测量系统扩展了坐标机功能,扩大了其应用范围。实验结果表明,该视觉测量系统具有SfS技术和坐标机两者的优点,重构物体三维模型的过程简单快捷,精度高于0.4mm,其结果可作为坐标机智能测量的基础,是一种非常实用的方法。展开更多
以特征点对应技术为基础的摄影测量术有着广泛应用，但存在着测量数据稀疏的缺陷，对此提出了SFS(Shape from shading)与特征点技术相结合的方法，加密插值点，解决复杂表面形状测量问题。首先设计了用于测量的摄像系统，然后讨论了图...以特征点对应技术为基础的摄影测量术有着广泛应用，但存在着测量数据稀疏的缺陷，对此提出了SFS(Shape from shading)与特征点技术相结合的方法，加密插值点，解决复杂表面形状测量问题。首先设计了用于测量的摄像系统，然后讨论了图像平面的剖分算法，最后给出SFS与特征点技术结合的有限单元形式，并设计了多重网格加速求解算法。算例表明，该方法效果令人满意。展开更多
【目的】为了快速、准确地计算土体结构和孔隙度等特征,提出一种基于SFS算法(shape from shading)的土壤三维结构重构方法。【方法】首先获取土壤的灰度显微图像,根据朗伯表面漫反射模型建立土壤的光照方程;然后利用泰勒展开法和雅克比...【目的】为了快速、准确地计算土体结构和孔隙度等特征,提出一种基于SFS算法(shape from shading)的土壤三维结构重构方法。【方法】首先获取土壤的灰度显微图像,根据朗伯表面漫反射模型建立土壤的光照方程;然后利用泰勒展开法和雅克比迭代法求解光照方程,计算出像素点高度值并实现土壤的三维重建;最后根据正态分布校正高度值计算土壤孔隙度。【结果】实验结果证明,该方法计算得出的孔隙度与环刀烘干法测得的结果相差0.81%,误差率1.75%。【结论】利用显微图像中土壤结构的三维信息,可以客观准确地计算出土壤孔隙度等物理特征。展开更多
基金supported by National Natural Science Foundation of China(Nos.12102280,12172238,12332012)Postdoctoral Fellowship Program of CPSF(No.GZB20230473)+1 种基金Support of Ultramicroscopy Research Center(URC,Kyushu University)are highly acknowledged.Yao Chen acknowledges the support of JSPS Fellowship(No.JP22F22720)JSPS KAKENHI(No JP22K03828).
文摘Both solute-segregated long-period stacking ordered(LPSO)structure and stacking faults(SFs)are essential in strengthening rare-earth(RE)Mg alloys.Herein,LPSO-enriched Mg and SFs-enriched Mg are fabricated and comparably investigated for fatigue performances.During fatigue,the Mg nanolayers between LPSO lamellae or SFs act as the gliding channels of dislocations.However,SFs-enriched Mg exhibits outstanding fatigue strength due to solute strengthening within Mg nanolayers.Solute strengthening is assumed to contribute to the local accumulation of basal dislocations and the activation of non-basal dislocations.Dislocations are restricted locally and cannot glide long distances to specimen surfaces,which mitigates fatigue-induced extrusions and slip markings,ultimately leading to an increase in fatigue strength.These findings guide the development of RE-Mg alloys towards a synergy between high tensile and high fatigue performances.
文摘提出了一种将Shape from Silhouette(SfS)技术应用在三坐标机上的新方法,即用摄像机获取图像,用三坐标机作移动平台,构建视觉测量系统,应用SfS技术对物体进行三维测量。该视觉测量系统扩展了坐标机功能,扩大了其应用范围。实验结果表明,该视觉测量系统具有SfS技术和坐标机两者的优点,重构物体三维模型的过程简单快捷,精度高于0.4mm,其结果可作为坐标机智能测量的基础,是一种非常实用的方法。
文摘以特征点对应技术为基础的摄影测量术有着广泛应用，但存在着测量数据稀疏的缺陷，对此提出了SFS(Shape from shading)与特征点技术相结合的方法，加密插值点，解决复杂表面形状测量问题。首先设计了用于测量的摄像系统，然后讨论了图像平面的剖分算法，最后给出SFS与特征点技术结合的有限单元形式，并设计了多重网格加速求解算法。算例表明，该方法效果令人满意。
文摘【目的】为了快速、准确地计算土体结构和孔隙度等特征,提出一种基于SFS算法(shape from shading)的土壤三维结构重构方法。【方法】首先获取土壤的灰度显微图像,根据朗伯表面漫反射模型建立土壤的光照方程;然后利用泰勒展开法和雅克比迭代法求解光照方程,计算出像素点高度值并实现土壤的三维重建;最后根据正态分布校正高度值计算土壤孔隙度。【结果】实验结果证明,该方法计算得出的孔隙度与环刀烘干法测得的结果相差0.81%,误差率1.75%。【结论】利用显微图像中土壤结构的三维信息,可以客观准确地计算出土壤孔隙度等物理特征。
