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Original Articles

Detecting 3D Spatial Clustering of Particles in Nanocomposites Based on Cross-Sectional Images

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Pages 212-224 | Received 01 Dec 2012, Published online: 16 May 2014

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Jia (Peter) Liu, Chenang Liu, Yun Bai, Prahalada Rao, Christopher B. Williams & Zhenyu (James) Kong. (2019) Layer-wise spatial modeling of porosity in additive manufacturing. IISE Transactions 51:2, pages 109-123.
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Jianguo Wu, Yuan Yuan, Haijun Gong & Tzu-Liang (Bill) Tseng. (2018) Inferring 3D ellipsoids based on cross-sectional images with applications to porosity control of additive manufacturing. IISE Transactions 50:7, pages 570-583.
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Ling Dong, Xiaodong Li, Dan Yu, Hui Zhang, Zhong Zhang, Yanjun Qian & Yu Ding. (2017) Quantifying Nanoparticle Mixing State to Account for Both Location and Size Effects. Technometrics 59:3, pages 391-403.
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Articles from other publishers (7)

Bianca Maria Colosimo, Luca Pagani & Marco Grasso. (2022) Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing. Journal of Intelligent Manufacturing.
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Yuanyuan Gao, Xiaohu Huang, Jianguo Wu & Qiang Zhou. (2022) An order statistic approach for inference of the size distribution of 3D particle clusters in metal matrix nanocomposites. CIRP Journal of Manufacturing Science and Technology 38, pages 204-214.
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Yuanyuan Gao, Xiaohu Huang, Chao Wang & Jianguo Wu. (2022) Estimating Size and Number Density of Three-Dimensional Particles Using Truncated Cross-Sectional Data. Journal of Manufacturing Science and Engineering 144:2.
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Hua Tan, Zhang‐Can Huang, Si‐Rong Zhu, Lang He & Xi Fang. (2021) An image‐based approach for quantitative assessment of uniformity in particle distribution of noise reduction material. Microscopy Research and Technique 84:9, pages 1924-1935.
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Chiwoo Park & Yu DingChiwoo Park & Yu Ding. 2021. Data Science for Nano Image Analysis. Data Science for Nano Image Analysis 109 144 .
Jianguo Wu, Yuan Yuan & Xiaochun Li. (2017) Size Distribution Estimation of Three-Dimensional Particle Clusters in Metal-Matrix Nanocomposites Considering Sampling Bias. Journal of Manufacturing Science and Engineering 139:8.
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Matthew Plumlee & Jianjun Shi. (2013) Estimating spatial and temporal patterns of defects. Manufacturing Letters 1:1, pages 25-27.
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