TY - JOUR
T1 - Quantifying boundary effect of nanoparticles in metal matrix nanocomposite fabrication processes
AU - Zeng, Li
AU - Zhou, Qiang
AU - De Cicco, Michael P.
AU - Li, Xiaochun
AU - Zhou, Shiyu
N1 - Funding Information:
The authors would like to thank the editor and the referees for their valuable comments and suggestions. This work was supported in part by the National Science Foundation under grant 0926084 and by the National Institute of Standards and Technology through its Technology Innovation Program.
Funding Information:
Shiyu Zhou is a Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin–Madison. He received his B.S. and M.S. in Mechanical Engineering from the University of Science and Technology of China in 1993 and 1996, respectively, and his master’s degree in Industrial Engineering and Ph.D. in Mechanical Engineering from the University of Michigan in 2000. His research interests include in-process quality and productivity improvement methodologies by integrating statistics, system and control theory and engineering knowledge. His research is sponsored by the National Science Foundation, Department of Energy, Department of Commerce and Industry. He is a recipient of a CAREER Award from the National Science Foundation and the Best Application Paper award from IIE Transactions. He is a member of IIE, INFORMS, ASME, and SME.
PY - 2012/7/1
Y1 - 2012/7/1
N2 - Lightweight, high-strength Metal Matrix NanoComposites (MMNCs) are promising materials for use in automotive, aerospace, and numerous other applications. A uniform distribution of nanoparticles within the metal matrix is critical to the quality of such composites. In current MMNC fabrication processes, however, a boundary effect often occurs where the nanoparticles tend to gather around the grain boundaries of the metal matrix. To realize quality control and guide process improvement efforts, this article proposes a method for quantitatively assessing the boundary effect observed in microstructure images of MMNC samples based on the theory of spatial statistics. Two indices for quantifying the degree of boundary effect in an image, called Boundary Indices (BIs), are developed and their statistical properties are provided. The performances of the BIs are shown and compared in a numerical study. They are also applied to images from a real MMNC fabrication process to validate the effectiveness of the proposed method.
AB - Lightweight, high-strength Metal Matrix NanoComposites (MMNCs) are promising materials for use in automotive, aerospace, and numerous other applications. A uniform distribution of nanoparticles within the metal matrix is critical to the quality of such composites. In current MMNC fabrication processes, however, a boundary effect often occurs where the nanoparticles tend to gather around the grain boundaries of the metal matrix. To realize quality control and guide process improvement efforts, this article proposes a method for quantitatively assessing the boundary effect observed in microstructure images of MMNC samples based on the theory of spatial statistics. Two indices for quantifying the degree of boundary effect in an image, called Boundary Indices (BIs), are developed and their statistical properties are provided. The performances of the BIs are shown and compared in a numerical study. They are also applied to images from a real MMNC fabrication process to validate the effectiveness of the proposed method.
KW - Boundary effect
KW - Kolmogorov-Smirnov test
KW - boundary index
KW - metal matrix nanocomposite
KW - normalized log spacing statistic
KW - particle capture
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U2 - 10.1080/0740817X.2011.635180
DO - 10.1080/0740817X.2011.635180
M3 - Article
AN - SCOPUS:84860489619
SN - 0740-817X
VL - 44
SP - 551
EP - 567
JO - IIE Transactions (Institute of Industrial Engineers)
JF - IIE Transactions (Institute of Industrial Engineers)
IS - 7
ER -