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Microstructure of flow pattern defects in boron-doped Czochralski-grown silicon 被引量:1
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作者 LIU Caichi HAO Qiuyan +5 位作者 ZHANG Jianfeng TENG Xiaoyun Sun Shilong Qigang Zhou WANG Jing XIAO Qinghua 《Rare Metals》 SCIE EI CAS CSCD 2006年第4期389-392,共4页
The morphology and microstructure of flow pattern defects (FPDs) in lightly boron-doped Czochralski-grown silicon (Cz-Si) crystals were investigated using optical microscopy and atomic force microscopy. The experi... The morphology and microstructure of flow pattern defects (FPDs) in lightly boron-doped Czochralski-grown silicon (Cz-Si) crystals were investigated using optical microscopy and atomic force microscopy. The experimental results showed that the morphology of FPDs was parabola-like with several steps. Single-type and dual-type voids were found on the tip of FPDs and two heaves exist on the left and right sides of the void. All the results have proved that FPDs were void-type defects. These results are very useful to investigate FPDs in Cz-Si wafers further and explain the annihilation of FPDs during high-temperature annealing. 展开更多
关键词 flow pattern defects grown-in defects atomic force microscopy Czochralski-grown silicon
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Wafer Defect Map Pattern Recognition Based on Improved ResNet
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作者 YANG Yining WEI Honglei 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2024年第S01期81-88,共8页
The defect detection of wafers is an important part of semiconductor manufacturing.The wafer defect map formed from the defects can be used to trace back the problems in the production process and make improvements in... The defect detection of wafers is an important part of semiconductor manufacturing.The wafer defect map formed from the defects can be used to trace back the problems in the production process and make improvements in the yield of wafer manufacturing.Therefore,for the pattern recognition of wafer defects,this paper uses an improved ResNet convolutional neural network for automatic pattern recognition of seven common wafer defects.On the basis of the original ResNet,the squeeze-and-excitation(SE)attention mechanism is embedded into the network,through which the feature extraction ability of the network can be improved,key features can be found,and useless features can be suppressed.In addition,the residual structure is improved,and the depth separable convolution is added to replace the traditional convolution to reduce the computational and parametric quantities of the network.In addition,the network structure is improved and the activation function is changed.Comprehensive experiments show that the precision of the improved ResNet in this paper reaches 98.5%,while the number of parameters is greatly reduced compared with the original model,and has well results compared with the common convolutional neural network.Comprehensively,the method in this paper can be very good for pattern recognition of common wafer defect types,and has certain application value. 展开更多
关键词 ResNet deep learning machine vision wafer defect map pattern recogniton
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A Case Study on Design Patterns and Software Defects in Open Source Software 被引量:1
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作者 Mubin Ozan Onarcan Yongjian Fu 《Journal of Software Engineering and Applications》 2018年第5期249-273,共25页
Design patterns are object oriented software design practices for solving common design problems and they affect software quality. In this study, we investigate the relationship of design patterns and software defects... Design patterns are object oriented software design practices for solving common design problems and they affect software quality. In this study, we investigate the relationship of design patterns and software defects in a number of open source software projects. Design pattern instances are extracted from the source code repository of these open source software projects. Software defect metrics are extracted from the bug tracking systems of these projects. Using correlation and regression analysis on extracted data, we examine the relationship between design patterns and software defects. Our findings indicate that there is little correlation between the total number of design pattern instances and the number of defects. However, our regression analysis reveals that individual design pattern instances as a group have strong influences on the number of defects. Furthermore, we find that the number of design pattern instances is positively correlated to defect priority. Individual design pattern instances may have positive or negative impacts on defect priority. 展开更多
关键词 Design pattern SOFTWARE defect defect PRIORITY SOFTWARE Quality SOFTWARE REPOSITORY MINING
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Microstructure of flow pattern defects in boron-doped Czochralski-grown silicon
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作者 LIU Caichi HAO Qiuyan +5 位作者 ZHANG Jianfeng TENG Xiaoyun Sun Shilong QigangZhou WANG Jing XIAO Qinghua 《北京科技大学学报》 EI CAS CSCD 北大核心 2006年第8期793-793,共1页
The morphology and microstructure of flow pattern defects (FPDs) in lightly boron-doped Czochralski-grown silicon (Cz-Si) crystals were investigated using optical microscopy and atomic force microscopy. The experiment... The morphology and microstructure of flow pattern defects (FPDs) in lightly boron-doped Czochralski-grown silicon (Cz-Si) crystals were investigated using optical microscopy and atomic force microscopy. The experimental results showed that the morphology of FPDs was parabola-like with several steps. Single-type and dual-type voids were found on the tip of FPDs and two heaves exist on the left and right sides of the void. All the results have proved that FPDs were void-type defects. These results are very useful to investigate FPDs in Cz-Si wafers further and explain the annihilation of FPDs during high-temperature annealing. 展开更多
关键词 流态缺陷 微观结构 原子力显微镜方法 硼掺杂 直拉法单晶硅 晶体生长
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Fabrication of virus-like particles with strip-pattern surface:A two-step self-assembly approach 被引量:6
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作者 Shuo Zhang Chun-Hua Cai +2 位作者 Zhou Guan Jia-Ping Lin Xing-Yu Zhu 《Chinese Chemical Letters》 SCIE CAS CSCD 2017年第4期839-844,共6页
Spherical nanostructures with striped patterns on the surfaces resembling the essential structures of natural virus particles were constructed through a two-step self-assembly approach of polystyrene-boligo(acrylic a... Spherical nanostructures with striped patterns on the surfaces resembling the essential structures of natural virus particles were constructed through a two-step self-assembly approach of polystyrene-boligo(acrylic acid)(PS-b-oligo-AA) and poly(γ-benzyI L-glutamate)-b-poly(ethylene glycol)(PBLG-bPEG) copolymer mixtures in solution.On the basis of difference in hydrophilicity and self-assembly properties of the two copolymers,the two-step self-assembly process is realized.It was found that PS-boligo-AA copolymers formed spherical aggregates by adding a certain amount of water into polymer solutions in the first step.In the second step,two polymer solutions were mixed and water was further added,inducing the self-assembly of PBLG-b-PEG on the surfaces of PS-b-oligo-AA spheres to form striped patterns.In-depth study was conducted for the indispensable defects of striped patterns which are dislocations and +1/2 disclinations.The influencing factors such as the mixing ratio of two copolymers and the added water content in the first step on the morphology and defects of the striped patterns were investigated.This work not only presents an idea to interpret mechanism of the cooperative self-assembly behavior,but also provides an effective approach to construct virus-like particles and other complex structures with controllable morphology. 展开更多
关键词 Virus-like particles Two-step self-assembly Striped patterns defects Polypeptide Ordered structure
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Interaction of Wave Trains with Defects
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作者 Xian-Wei Chen Peng-Fei Li +3 位作者 Xiao-Ping Yuan Ye-Hua Zhao Jun Ma Jiang-Xing Chen 《Communications in Theoretical Physics》 SCIE CAS CSCD 2019年第3期334-338,共5页
The evolution and transition of planar wave trains propagating through defects(obstacles) in an excitable medium are studied. When the frequency of the planar wave trains is increased, three different dynamical regime... The evolution and transition of planar wave trains propagating through defects(obstacles) in an excitable medium are studied. When the frequency of the planar wave trains is increased, three different dynamical regimes,namely fusion, "V" waves, and spiral waves, are observed in turn and the underlying mechanism is discussed. The dynamics is concerned with the shapes of the defects. Circle, triangle, and rectangle defects with different sizes are considered. The increase of pacing frequency broadens the fan-shaped broken region in the behind of a rectangle defect.The increase of width of a triangle defect leads to breakup of wave trains easier while the change of height shows opposite effect, which is presented in a phase diagram. Dynamical comparison on defects with different shapes indicates that the decrease of the defect width along the propagation of wave trains makes the fan-shaped region and the minimal frequency for breakup of spiral both increased. 展开更多
关键词 PLANAR WAVE TRAINS defects FUSION “V” pattern SPIRAL WAVE
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Plastic flow pattern and its effect in friction stir welding of A2024 and A1060
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作者 王希靖 张忠科 +1 位作者 李晶 达朝炳 《中国有色金属学会会刊:英文版》 CSCD 2006年第A03期1336-1341,共6页
During the friction stir welding (FSW), the property of the welding joint is highly affected by the plastic and viscous flow behavior of the softened material. The flow pattern of the welded material was examined thro... During the friction stir welding (FSW), the property of the welding joint is highly affected by the plastic and viscous flow behavior of the softened material. The flow pattern of the welded material was examined through observing the microstrucrural distribution of friction stir welded joints between dissimilar 2024 and 1060 aluminum alloy. The experimental results show that the flow patterns of material at different locations in the weld are different and can be divided into four layers along the thickness direction: surface flow layer influenced by the shoulder of the tool, in which the material tends to flow as integrity; horizontal flow layer influenced by the surface flow layer, in which the material of surface flow layer enters and flows forwards under the advancing force of the tool; vertical flow layer (plastic flow area induced by stirring of the pin), in which the flow pattern is complex and onion rings can often be observed; unstirred bottom layer because of the length of the pin being shorter than the thickness of the plates. The effect of plastic flow on welding quality was further investigated. The study suggests that welding quantity is significantly influenced by the flow pattern and defects always appear in horizontally lamellar flow region because of the complex flow pattern. 展开更多
关键词 焊接工艺 金属加工 定位焊接 固相
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无人矿卡卸载区典型点云缺损模式及修补方法研究
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作者 杨健健 张昱源 +4 位作者 张少聪 桂天牧 黄乾坤 王国勇 额尔德木吐 《煤炭学报》 北大核心 2025年第10期4588-4608,共21页
随着无人驾驶技术在露天矿的广泛应用,激光雷达点云数据的完整性对矿卡安全作业至关重要。针对卸载区复杂环境导致的点云缺损问题,系统研究了典型点云缺损模式及其修补方法,有效解决了露天矿卸载区点云空洞对挡墙识别与路面感知的威胁... 随着无人驾驶技术在露天矿的广泛应用,激光雷达点云数据的完整性对矿卡安全作业至关重要。针对卸载区复杂环境导致的点云缺损问题,系统研究了典型点云缺损模式及其修补方法,有效解决了露天矿卸载区点云空洞对挡墙识别与路面感知的威胁。首先建立了激光雷达点云缺损的几何遮挡模型,量化了障碍物遮挡概率与雷达参数、空间密度的关联性,以揭示其物理机制。基于实际采集的卸载区点云数据,统计并选取了六类典型空洞,结合多维特征详细分析了其缺损模式:I型(路面坡度变化)、II型(散乱岩土堆积)、III型(挡墙间隙)、IV型(挡墙结构缺损)、V型(岩土倾落)和VI型(扬尘遮挡)。前四类源于地形遮挡,后两类由动态高密度遮挡物引发,弥补了现有研究对矿区特殊场景的针对性不足。针对不同缺损特性,提出基于地形特征的复合修补策略,通过动态栅格投影与主成分分析分割路面与挡墙点云,采用分块平面拟合(BPFR)方法实现路面的高效修复,基于泊松重建方法与凹包约束精准还原挡墙三维结构,最后合并修补结果。实验表明,在保证修补效率的同时,复合方法在法向量一致性(NC=0.99815)、均方根误差(RMSE=0.04971 m)和全局偏差(SSE=75.92)上均优于对比方法,且能适应卸载区复杂地形与动态遮挡场景。研究验证了所提方法在真实矿区数据中的有效性,提升了点云完整性与环境感知精度,为无人矿卡下游任务提供了可靠数据支撑,对推动露天矿无人化作业具有重要工程价值。 展开更多
关键词 无人矿卡 卸载区 点云缺损模式 空洞修补 激光雷达
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拓扑数据分析在晶圆图缺陷模式分类中的高效应用
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作者 杜先君 丁家俊 董明月 《电子测量与仪器学报》 北大核心 2025年第10期185-196,共12页
晶圆图的缺陷模式分类是半导体生产制造过程中的重要环节,对提高产品良品率与生产效率有着重要意义。针对现有深度学习晶圆图缺陷模式分类方法解释性差和资源消耗高等问题,改进了一种基于拓扑数据分析(topological data analysis, TDA)... 晶圆图的缺陷模式分类是半导体生产制造过程中的重要环节,对提高产品良品率与生产效率有着重要意义。针对现有深度学习晶圆图缺陷模式分类方法解释性差和资源消耗高等问题,改进了一种基于拓扑数据分析(topological data analysis, TDA)的特征提取方法,其依托持久同调理论,通过构建Alpha复形(alpha complex)以挖掘晶圆图的拓扑结构,并将其转化为可量化的拓扑特征。实验结果表明,在基于WM-811K数据集构建的模拟晶圆图数据集上,采用Alpha复形代替原VR复形(vietoris-rips complex),平均复形构建时间降低了约82%,平均内存占用降低了约10.09%。此外,将基于TDA的方法与DenseNet121、Swin Transformer以及新兴的ConvNeXt模型进行了对比,在特征提取方面,t-SNE可视化结果显示基于TDA方法提取的特征向量取得了最佳的聚类效果,相比于次优的ConvNeXt,轮廓系数提升了17.24%,提取时间降低了约75%,而内存峰值降低了约95%;在分类性能方面,结合支持向量机(SVM)分类器的实验表明,基于TDA的模型整体分类准确率高达0.992,优于DenseNet(0.989 3)和Swin Transformer(0.982 0)。 展开更多
关键词 晶圆图缺陷模式分类 拓扑数据分析 持久同调 Alpha复形 支持向量机 半导体制造
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A DEVELOPED FULL-FIELD FEM ANALYSIS COMBINED WITH ESPI FOR THE INVESTIGATION OF DEFECT EVOLUTION IN POLYMER FILMS
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作者 Xiao-fang Liu Shuai-xia Tan +2 位作者 Xiao-li Zhang 赵宁 徐坚 《Chinese Journal of Polymer Science》 SCIE CAS CSCD 2013年第7期1022-1028,共7页
A full-field finite element method (FEM) analysis combined with electronic speckle pattern interferometry (ESPI) measurement was developed to investigate defect evolution in polymer films. Different from the previ... A full-field finite element method (FEM) analysis combined with electronic speckle pattern interferometry (ESPI) measurement was developed to investigate defect evolution in polymer films. Different from the previous reports, which only compare the ESPI experimental and FEM simulated results at several points or lines, herein the full-field FEM results were exported, subtracted with a continuous distribution. By choosing proper parameters and number of substeps, the simulated and experimental results showed excellent correspondence. Furthermore, the displacement fields vertical to the tensional direction were also presented, and the strain field was preliminarily evaluated. The current method of combination of ESPI and FEM allows for capturing the experimental fringe maps to validate and optimize FEM results simulated, and would give a higher security to structural and mechanical analysis of polymeric materials. 展开更多
关键词 Electronic speckle pattern interferometry Finite element method defect In-plane displacement Polymer film.
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10 kV三相异步电动机定子绝缘局部放电极坐标谱图分布特性分析 被引量:1
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作者 张利柄 康爱亮 +2 位作者 赵世杰 吝伶艳 陈占清 《绝缘材料》 北大核心 2025年第6期115-121,共7页
10 kV三相异步电动机定子绝缘在运行中会受到热、电、环境和机械等多应力作用,形成各种绝缘缺陷并导致局部放电,而在线监测过程中存在参考电压波形难获取、利用局部放电谱相位图(PRPD)进行放电识别时存在参考电压相位易丢失等问题。针... 10 kV三相异步电动机定子绝缘在运行中会受到热、电、环境和机械等多应力作用,形成各种绝缘缺陷并导致局部放电,而在线监测过程中存在参考电压波形难获取、利用局部放电谱相位图(PRPD)进行放电识别时存在参考电压相位易丢失等问题。针对这一问题,本文在实验室中制作了内部放电、槽放电及电晕放电3种局部放电模型,并采集局部放电信号。利用极坐标法将PRPD谱图转化为圆形的极坐标谱图,解决电压相位信息丢失的问题。结果表明:不同放电类型具有不同的极坐标谱图特征分布,内部放电在第一、三象限呈现对称分布特征;槽放电与电晕放电分布不对称,第三象限的幅值远大于第一象限。槽放电比电晕放电的点簇放电脉冲范围更大,放电形状更宽。不同放电类型的偏斜度、陡峭度、放电占比等特征参数具有明显的不同。随着电压等级的升高,极坐标谱图分布及特征参数发生明显变化。 展开更多
关键词 定子绕组 绝缘缺陷 PRPD谱图 极坐标谱图
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基于改进YOLOv8s的花色布疵点检测算法 被引量:1
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作者 王跃坤 徐洋 +2 位作者 余智祺 解国升 盛晓伟 《棉纺织技术》 2025年第2期41-48,共8页
针对花色布背景图案复杂、部分疵点目标小、与背景分离难度大,及其带来的自动化实时检测挑战等问题,提出一种基于改进YOLOv8s的花色布疵点检测算法。为增强网络检测疵点小目标的能力,引入BiFPN(Bi⁃directional Feature Pyramid)特征融... 针对花色布背景图案复杂、部分疵点目标小、与背景分离难度大,及其带来的自动化实时检测挑战等问题,提出一种基于改进YOLOv8s的花色布疵点检测算法。为增强网络检测疵点小目标的能力,引入BiFPN(Bi⁃directional Feature Pyramid)特征融合网络,充分融合语义信息和位置信息,增强算法区分疵点和背景的能力;同时,注意到疵点小目标中低质量样本对检测结果的影响,引入WIoU v3损失函数,抑制训练过程中低质量样本产生的有害梯度;最后,引入FasterBlock模型改进原始模型neck中的C2f模块,降低模型整体的参数量。结果表明:改进后的YOLOv8s模型在整个数据集的mAP@0.5∶0.95上可达59.6%,比原YOLOv8s模型提高了2.8个百分点;小目标的APs@0.5∶0.95可达45.1%,比原YOLOv8s模型提高了8.3个百分点;改进后模型参数量为10.557 M,检测速度可达131.6帧/s。认为:改进的YOLOv8s有效提升了沾污、花毛等小目标的检测效果。 展开更多
关键词 花色布 疵点检测 YOLOv8s BiFPN FasterBlock WIoU v3损失函数
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基于纺织图案特征分析的服装生产瑕疵检测技术
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作者 胡冰 汪世奎 《河南工程学院学报(自然科学版)》 2025年第2期7-11,共5页
为提高服装生产中织物瑕疵检测的速度和准确率,提出了一种结合改进深度生成对抗网络(DCGAN)与改进YOLOv5模型的服装生产瑕疵检测(IDPGP)方案。消融实验结果显示,完整IDPGP方案的检测准确率达95%,误检率和漏检率分别控制在3%和2%左右,处... 为提高服装生产中织物瑕疵检测的速度和准确率,提出了一种结合改进深度生成对抗网络(DCGAN)与改进YOLOv5模型的服装生产瑕疵检测(IDPGP)方案。消融实验结果显示,完整IDPGP方案的检测准确率达95%,误检率和漏检率分别控制在3%和2%左右,处理速度约150 ms。在实际应用测试中,该方案对3000个样本的平均分类准确率接近98%,优于CA-EfficientDet方案的88%。IDPGP方案有助于企业对服装生产质量进行控制,也为服装生产瑕疵检测技术的研发提供了参考。 展开更多
关键词 纺织图案 特征分析 服装生产 瑕疵检测
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基于投票筛选增强自编码器的复杂图案织物疵点识别方法
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作者 王彪 丁瑜 黄璜 《毛纺科技》 北大核心 2025年第12期130-137,共8页
为解决复杂图案织物因具有丰富纹理与多样色彩,使得其中的微小疵点极易被掩盖,导致识别难度大幅增加难题,提出基于投票筛选增强自编码器的复杂图案织物疵点识别方法。首先采用线性滤波结合像素值重新分配的方式,对复杂织物图像进行干扰... 为解决复杂图案织物因具有丰富纹理与多样色彩,使得其中的微小疵点极易被掩盖,导致识别难度大幅增加难题,提出基于投票筛选增强自编码器的复杂图案织物疵点识别方法。首先采用线性滤波结合像素值重新分配的方式,对复杂织物图像进行干扰抑制,有效削弱纹理与色彩的干扰。然后利用多个自编码器独立学习抑制干扰后的织物图像特征,并生成重构图像。随后通过投票筛选机制综合各编码器的识别结果,依据多数表决原则确定识别结果。实验结果表明,在包含不同疵点类型及正常样本的2个测试集上,该研究方法的Matthews相关系数(MCC)值均高于其他对比方法,证明了该方法在复杂图案织物疵点识别任务中具有更高的准确性和有效性。 展开更多
关键词 投票筛选增强自编码器 复杂图案 织物疵点 干扰抑制 识别方法
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Topological Degeneracy Induced Flat Bands in Two-Dimensional Holed Systems
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作者 Yuge Chen Hui Yu +2 位作者 Yun-Peng Huang Zhen-Yu Zheng Jiangping Hu 《Chinese Physics Letters》 2025年第9期305-310,共6页
Systems hosting flat bands offer a powerful platform for exploring strong correlation physics.Theoretically,topological degeneracy arising in systems with non-trivial topological orders on periodic manifolds of non-ze... Systems hosting flat bands offer a powerful platform for exploring strong correlation physics.Theoretically,topological degeneracy arising in systems with non-trivial topological orders on periodic manifolds of non-zero genus can generate ideal flat bands.However,experimental realization of such geometrically engineered systems is very difficult.In this work,we demonstrate that flat planes with strategically patterned hole defects can engineer ideal flat bands.We construct two families of models:singular flat band systems where degeneracy is stabilized by non-contractible loop excitations tied to hole defects and perfectly nested van Hove systems where degeneracy arises from line excitations in momentum space.These models circumvent the need for exotic manifolds while retaining the essential features of topological flat bands.By directly linking defect engineering to degeneracy mechanisms,our results establish a scalable framework for experimentally accessible flat band design. 展开更多
关键词 flat bandswe flat bands strategically patterned hole defects flat planes flat bandshoweverexperimental topological degeneracy geometrically engineered systems strong correlation physicstheoreticallytopological degeneracy
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不同缺陷特征对坝基防渗墙渗流性态的影响规律研究
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作者 叶玉麟 葛元彬 +2 位作者 赵明华 宋子屹 徐方才 《南水北调与水利科技(中英文)》 北大核心 2025年第S1期206-212,共7页
混凝土防渗墙是处理深厚覆盖层中坝基防渗问题的主要手段之一,其隐蔽性与服役环境的复杂性导致大埋深工况下的墙体损伤开裂一般无法仅通过物探技术实现对其损伤部位的准确定位,导致维修加固工作难以展开。本研究以四川某水电站实际工程... 混凝土防渗墙是处理深厚覆盖层中坝基防渗问题的主要手段之一,其隐蔽性与服役环境的复杂性导致大埋深工况下的墙体损伤开裂一般无法仅通过物探技术实现对其损伤部位的准确定位,导致维修加固工作难以展开。本研究以四川某水电站实际工程为研究对象,构建了精细化三维有限元渗流分析模型,揭示了不同缺陷工况下墙体与缺陷部位的渗流性态变化规律,系统分析了不同缺陷形式、尺寸、部位对墙体孔隙水压力与渗流量的影响程度;结果表明:三角形分叉缺陷与空洞缺陷工况下孔隙水压力较完整工况的变化率存在较大差异,分别约为4.0%与4.5%;此外,相较于纵向与横向缺陷,分叉缺陷与空洞缺陷引发的防渗墙断面渗流量增长倍率更大,最大可达到22.58倍和29.61倍,由以上两方面结果可以基本实现对防渗墙缺陷形式及尺度的判定,为实现基于渗流监测数据的防渗墙缺陷快速识别及定位提供技术支持。 展开更多
关键词 缺陷特征 精细化三维仿真 混凝土坝基防渗墙 缺陷识别与定位 渗流性态规律
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NSD ADI放射状缺陷成因分析及改善方案研究
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作者 熊溪 赵山岭 《中国集成电路》 2025年第11期58-64,共7页
分析表明,产品A在量产过程中,于N型源漏注入(NSD,N-type Source、Drain)光刻工艺环节持续出现放射状图形异常缺陷,且发生率高达2.2%。此缺陷可能影响后续离子注入工艺,存在导致良率损失甚至产品报废的风险。通过专项实验设计,我们深入... 分析表明,产品A在量产过程中,于N型源漏注入(NSD,N-type Source、Drain)光刻工艺环节持续出现放射状图形异常缺陷,且发生率高达2.2%。此缺陷可能影响后续离子注入工艺,存在导致良率损失甚至产品报废的风险。通过专项实验设计,我们深入研究了晶圆表面预处理O_(2) treatment工艺与该缺陷的形成机理,并成功开发出有效的解决方案。该方案不仅显著降低了产品A量产中的放射状图形缺陷发生率,有效规避了相关的良率损失与报废风险,同时也降低了制造成本。 展开更多
关键词 NSD 光刻 放射状图形缺陷 表面预处理 良率损失
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基于轻量级高分辨率网络的金属产品质量检测方法
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作者 韩俊嘉 段成璞 黄景涛 《河南科技大学学报(自然科学版)》 北大核心 2025年第5期40-50,M0004,M0005,共13页
传统人工检测存在标准不一、易受疲劳干扰等问题,而现有基于实时目标检测算法的深度学习方法因下采样操作会导致特征细节的丢失,且计算复杂度高,难以达到精准的要求。针对微观特征和计算量问题,提出一种轻量级高分辨率网络检测方法。该... 传统人工检测存在标准不一、易受疲劳干扰等问题,而现有基于实时目标检测算法的深度学习方法因下采样操作会导致特征细节的丢失,且计算复杂度高,难以达到精准的要求。针对微观特征和计算量问题,提出一种轻量级高分辨率网络检测方法。该方法通过全程高分辨率特征保持架构保留细微缺陷信号,结合深度可分离卷积实现轻量化设计,引入条件通道加权机制优化多分辨率特征融合,并提出全局空间特征提取方法强化上下文关联。实验表明:该网络在NEU-DET和GC10-DET数据集上的mAP_(50)分别达到79.6%和70.9%,参数量仅为5.3M,GFLOPs为7.1,在双路RTX4090显卡上的FPS达117,相较此前的基准模型在检测精度和计算效率上均展现显著优势。消融实验验证了各模块的有效性,为金属表面缺陷的工业实时检测提供了高精度、低功耗的解决方案。 展开更多
关键词 智能制造 模式识别 金属表面缺陷 表面质量检测 轻量化模型
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K-Means聚类算法下复杂花纹织物图像瑕疵检测方法
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作者 邵煜涵 杨昊 刘文良 《毛纺科技》 北大核心 2025年第5期137-143,共7页
为了实现对复杂花纹织物图像的精准瑕疵检测,解决现有方法在复杂花纹织物图像上表现不佳的问题,设计K-Means聚类算法下复杂花纹织物图像瑕疵检测方法。使用双边滤波器对复杂花纹织物图像实施平滑处理,以消除潜在的噪声和干扰。为克服K-M... 为了实现对复杂花纹织物图像的精准瑕疵检测,解决现有方法在复杂花纹织物图像上表现不佳的问题,设计K-Means聚类算法下复杂花纹织物图像瑕疵检测方法。使用双边滤波器对复杂花纹织物图像实施平滑处理,以消除潜在的噪声和干扰。为克服K-Means聚类算法的局限性,提出结合区域合并策略与改进K-Means预分割技术的彩色图像分割方法实施复杂花纹织物图像的分割处理,将疵点区域从织物的复杂纹理背景中区分出来。针对复杂花纹织物图像特有的复杂纹理背景以及显著的瑕疵形态差异,结合深度卷积神经网络与深度残差网络CrossNet,实现各种瑕疵的检测。实验结果表明:本文方法在复杂纹理特征提取方面表现优异,在缺经、缺纬、吊经、污点、破洞5种瑕疵类型上展现出优势,阳性预测值(PPV)均高于0.9。 展开更多
关键词 双边滤波器 K-Means预分割技术 复杂花纹 织物图像 深度卷积神经网络 瑕疵检测
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熔模精密铸造压蜡工艺参数对蜡模质量影响的研究
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作者 王云悝 李飞 +3 位作者 史小宝 许广涛 贺卫峰 李强 《铸造技术》 2025年第4期397-402,共6页
系统研究了压蜡工艺参数对熔模铸造蜡模质量的耦合影响机制,通过生产案例分析了蜡液温度(52~65℃)、包蜡压力(1.5~2.5 MPa)、流量(80~200 cm3/s)、循环时间等参数对蜡模成形性、尺寸精度及表面缺陷的作用规律。结果表明,蜡液温度高于60... 系统研究了压蜡工艺参数对熔模铸造蜡模质量的耦合影响机制,通过生产案例分析了蜡液温度(52~65℃)、包蜡压力(1.5~2.5 MPa)、流量(80~200 cm3/s)、循环时间等参数对蜡模成形性、尺寸精度及表面缺陷的作用规律。结果表明,蜡液温度高于60℃时,蜡模收缩率增大导致缩陷,低于55℃则充型能力不足引发黏模;包蜡压力需动态调整以平衡模具形变与蜡模致密度;流量与注蜡孔径的协同优化可减少冷隔与卷气缺陷。通过缺陷-参数调整模型,提出“压力流量优先、温度微调”的优化策略。 展开更多
关键词 熔模铸造 压蜡工艺 蜡模质量 参数优化 缺陷控制
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