The microstructure and mechanical properties of as-cast A356（Al–Si） alloy castings were investigated. A356 alloy was cast into three different molds composed of sand, ferrochrome（Fe–Cr） slag, and a mixture of sa...The microstructure and mechanical properties of as-cast A356（Al–Si） alloy castings were investigated. A356 alloy was cast into three different molds composed of sand, ferrochrome（Fe–Cr） slag, and a mixture of sand and Fe–Cr. A sodium silicate–CO_2 process was used to make the necessary molds. Cylindrical-shaped castings were prepared. Cast products with no porosity and a good surface finish were achieved in all of the molds. These castings were evaluated for their metallography, secondary dendrite arm spacing（SDAS）, and mechanical properties, including hardness, compression, tensile, and impact properties. Furthermore, the tensile and impact samples were analyzed by fractography. The results show that faster heat transfer in the Fe–Cr slag molds than in either the silica sand or mixed molds led to lower SDAS values with a refined microstructure in the products cast in Fe–Cr slag molds. Consistent and enhanced mechanical properties were observed in the slag mold products than in the castings obtained from either sand or mixed molds. The fracture surface of the slag mold castings shows a dimple fracture morphology with a transgranular fracture nature. However, the fracture surfaces of the sand mold castings display brittle fracture. In conclusion, products cast in Fe–Cr slag molds exhibit an improved surface finish and enhanced mechanical properties compared to those of products cast in sand and mixed molds.展开更多
The as-cast Mg-8Li-3Al-0.5Mn-xSr（LAM830-xSr, x=0-1.0） alloys were designed and prepared in a vacuum induction furnace under controlled argon atmosphere. The alloys were then processed by hot extrusion, and their mic...The as-cast Mg-8Li-3Al-0.5Mn-xSr（LAM830-xSr, x=0-1.0） alloys were designed and prepared in a vacuum induction furnace under controlled argon atmosphere. The alloys were then processed by hot extrusion, and their microstructural evolution and mechanical properties were analyzed. Results indicate that the LAM830 alloy mainly consists of α-Mg, β-Li, Al2Mn3, and LiMgAl2 phases. Sr addition results in the precipitation of Al-Sr. Moreover, Sr addition results in a fact that the secondary dendrite arm spacing（DAS） of the primary α-Mg phase is obvious refined. Microstructure of the investigated alloys is further refined as a result of the hot extrusion treatment. The content and morphology of the secondary phases have important effects on the mechanical properties of the alloys. The as-extruded LAM830-0.5Sr alloy exhibits an optimal elongation of 22.43% and as-extruded LAM830-0.75 Sr alloy shows an optimal tensile strength of 265.46 MPa.展开更多
为提高汽车工艺涂胶质量及机械臂作业效率,针对基于深度学习的双目视觉车顶焊缝涂胶机械臂系统,提出了一种SEmYOLOv5算法,在主干网络上增加SE(squeeze and excitation)注意力机制,同时在颈部网络上增加一组采样模块,提高焊缝的识别能力...为提高汽车工艺涂胶质量及机械臂作业效率,针对基于深度学习的双目视觉车顶焊缝涂胶机械臂系统,提出了一种SEmYOLOv5算法,在主干网络上增加SE(squeeze and excitation)注意力机制,同时在颈部网络上增加一组采样模块,提高焊缝的识别能力。对提取到的图像进行图像处理,使得更好的提取车顶焊缝的特征信息从而得到特征点坐标,采用B样条曲线法对机械臂进行轨迹规划。改进后的算法相较原YOLOv5算法的mAP值提升了6.76%,针对该系统进行实验并验证了提出的基于深度学习的双目视觉车顶焊缝涂胶机械臂系统的有效性。展开更多
基金the DST–Fly Ash unit, New Delhi, India for their financial support (Grant Ref No.FAU/DST/600(52)/2012-13)Advance Analytical laboratory, Andhra University, India for the support in SEM–EDS studies
文摘The microstructure and mechanical properties of as-cast A356（Al–Si） alloy castings were investigated. A356 alloy was cast into three different molds composed of sand, ferrochrome（Fe–Cr） slag, and a mixture of sand and Fe–Cr. A sodium silicate–CO_2 process was used to make the necessary molds. Cylindrical-shaped castings were prepared. Cast products with no porosity and a good surface finish were achieved in all of the molds. These castings were evaluated for their metallography, secondary dendrite arm spacing（SDAS）, and mechanical properties, including hardness, compression, tensile, and impact properties. Furthermore, the tensile and impact samples were analyzed by fractography. The results show that faster heat transfer in the Fe–Cr slag molds than in either the silica sand or mixed molds led to lower SDAS values with a refined microstructure in the products cast in Fe–Cr slag molds. Consistent and enhanced mechanical properties were observed in the slag mold products than in the castings obtained from either sand or mixed molds. The fracture surface of the slag mold castings shows a dimple fracture morphology with a transgranular fracture nature. However, the fracture surfaces of the sand mold castings display brittle fracture. In conclusion, products cast in Fe–Cr slag molds exhibit an improved surface finish and enhanced mechanical properties compared to those of products cast in sand and mixed molds.
基金Project(2007CB613702)supported by the National Basic Research Program of ChinaProject(2008BB4323)supported by the Natural Science Foundation of Chongqing Science and Technology Commission,ChinaProject(2010DFR50010)supported by the International Scientific and Technological Cooperation Projects,China
文摘The as-cast Mg-8Li-3Al-0.5Mn-xSr（LAM830-xSr, x=0-1.0） alloys were designed and prepared in a vacuum induction furnace under controlled argon atmosphere. The alloys were then processed by hot extrusion, and their microstructural evolution and mechanical properties were analyzed. Results indicate that the LAM830 alloy mainly consists of α-Mg, β-Li, Al2Mn3, and LiMgAl2 phases. Sr addition results in the precipitation of Al-Sr. Moreover, Sr addition results in a fact that the secondary dendrite arm spacing（DAS） of the primary α-Mg phase is obvious refined. Microstructure of the investigated alloys is further refined as a result of the hot extrusion treatment. The content and morphology of the secondary phases have important effects on the mechanical properties of the alloys. The as-extruded LAM830-0.5Sr alloy exhibits an optimal elongation of 22.43% and as-extruded LAM830-0.75 Sr alloy shows an optimal tensile strength of 265.46 MPa.
文摘为提高汽车工艺涂胶质量及机械臂作业效率,针对基于深度学习的双目视觉车顶焊缝涂胶机械臂系统,提出了一种SEmYOLOv5算法,在主干网络上增加SE(squeeze and excitation)注意力机制,同时在颈部网络上增加一组采样模块,提高焊缝的识别能力。对提取到的图像进行图像处理,使得更好的提取车顶焊缝的特征信息从而得到特征点坐标,采用B样条曲线法对机械臂进行轨迹规划。改进后的算法相较原YOLOv5算法的mAP值提升了6.76%,针对该系统进行实验并验证了提出的基于深度学习的双目视觉车顶焊缝涂胶机械臂系统的有效性。
