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Relevant bibliographies by topics / Microstructure analysis

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Academic literature on the topic 'Microstructure analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Microstructure analysis"

1

Suzuki, Asuka, Yusuke Sasa, Makoto Kobashi, et al. "Persistent Homology Analysis of the Microstructure of Laser-Powder-Bed-Fused Al–12Si Alloy." Materials 16, no. 22 (2023): 7228. http://dx.doi.org/10.3390/ma16227228.

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The laser powder bed fusion (L-PBF) process provides the cellular microstructure (primary α phase surrounded by a eutectic Si network) inside hypo-eutectic Al–Si alloys. The microstructure changes to the particle-dispersed microstructure with heat treatments at around 500 °C. The microstructural change leads to a significant reduction in the tensile strength. However, the microstructural descriptors representing the cellular and particle-dispersed microstructures have not been established, resulting in difficulty in terms of discussion regarding the structure–property relationship. In this stu

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Li, Qinghua, Qingyu Guan, Yi Ji, Wenyang Xu, and Tiantian Xu. "Optimizing Dual-Microstructure Parameters in Ball-End Milling Tools: Synergistic Effects and Parameter Combination Analysis." Applied Sciences 15, no. 11 (2025): 6329. https://doi.org/10.3390/app15116329.

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To address the issues of high cutting speeds and low surface precision during milling, this study investigates the effects of front and back cutting face microstructures on ball-end milling cutters processing 304 stainless steel. Firstly, a theoretical energy model for front and back cutting face microstructures is established to verify the feasibility of embedding microstructures. Then, finite element analyses are conducted on cutters with varying microstructure parameters on front and back cutting faces to determine reasonable parameter ranges. Parameter combinations are subsequently used to

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Nolan, T. P., R. Sinclair, T. Yamashita, and R. Ranjan. "Correlation of micro-structural, micro-chemical and micro-magnetic properties of longitudinal recording media using CM20FEG Lorentz TEM." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 892–93. http://dx.doi.org/10.1017/s042482010017219x.

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Cobalt alloy on chromium thin film magnetic media are used in industry computer hard disk drives because of their large values of coercivity (Hc), remanent magnetization (Mr), squareness (S*), and relatively low noise. The magnetic performance depends strongly on processing conditions and the resulting nanometer scale microstructure.A complete structure-processing-properties analysis requires effective measurement of magnetic and microstructural properties. To date, most structure-properties analyses have involved correlation of bulk magnetic (hysteresis loop) properties and magnetic recording

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Han, Yuexing, Chuanbin Lai, Bing Wang, Tianyi Hu, Dongli Hu, and Hui Gu. "SEGMENTATION AND ANALYSIS METHOD FOR TWO-PHASE CERAMIC (HfB2-B4C) BASED ON THE DETECTION OF VIRTUAL BOUNDARIES." Image Analysis & Stereology 38, no. 1 (2019): 95. http://dx.doi.org/10.5566/ias.1992.

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Microstructure of a material stores the genesis of the material and shows various properties of the material. To efficiently analyse the microstructure of a material, the segmentation of different phases or constituents is an important step. However, in general, due to the microstructure’s complexity, most of segmentation is manually done by human experts. It is challenging to automatically segment the material phases and the microstructure. In this work, we propose a method which combines the the dilation operator, GLCM (gray-level co-occurrence matrix), Hough transform and DBSCAN (density-ba

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Trzciński, Jerzy, and Emilia Wójcik. "Application of microstructure classification for the assessment of the variability of geological-engineering and pore space properties in clay soils." Open Geosciences 11, no. 1 (2019): 236–48. http://dx.doi.org/10.1515/geo-2019-0019.

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Abstract The performed investigations were focused on analysing the variability of geological-engineering properties in clay soils from central-eastern Europe with regard to microstructures. Thirty-nine soils differing in origin, lithology and microstructure type were selected for analysis. Results of studies on lithological and physical and mechanical parameters were analysed, coupled with quantitative microstructural parameters based on microstructure images. The relationships between lithological, physical and mechanical and pore space parameters were determined with regard to microstructur

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Müller, Martin, Marie Stiefel, Björn-Ivo Bachmann, Dominik Britz, and Frank Mücklich. "Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures." Metals 14, no. 5 (2024): 553. http://dx.doi.org/10.3390/met14050553.

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The foundation of materials science and engineering is the establishment of process–microstructure–property links, which in turn form the basis for materials and process development and optimization. At the heart of this is the characterization and quantification of the material’s microstructure. To date, microstructure quantification has traditionally involved a human deciding what to measure and included labor-intensive manual evaluation. Recent advancements in artificial intelligence (AI) and machine learning (ML) offer exciting new approaches to microstructural quantification, especially c

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Kumar, Swarup, Asif Uzzaman, Md Ibrahim Adam, and Sree Biddut Kumar. "A Comprehensive Review of Prospects and Challenges of Microstructure and Functional Properties of Materials." European Journal of Theoretical and Applied Sciences 3, no. 2 (2025): 356–70. https://doi.org/10.59324/ejtas.2025.3(2).31.

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This thorough analysis examines the opportunities and difficulties related to improving the microstructure and functional characteristics of materials. Phases, grain boundaries, dislocations, and other flaws are examples of the microstructure, which is an essential component in defining the functional properties of a material, such as its electrical conductivity, mechanical strength, thermal stability, and resistance to corrosion. The production of materials with improved performance for a range of applications has been made possible by improvements in materials processing methods, such as sev

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Swarup, Kumar, Uzzaman Asif, Ibrahim Adam Md, and Biddut Kumar Sree. "A Comprehensive Review of Prospects and Challenges of Microstructure and Functional Properties of Materials." European Journal of Theoretical and Applied Sciences 3, no. 2 (2025): 356–70. https://doi.org/10.59324/ejtas.2025.3(2).31.

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This thorough analysis examines the opportunities and difficulties related to improving the microstructure and functional characteristics of materials. Phases, grain boundaries, dislocations, and other flaws are examples of the microstructure, which is an essential component in defining the functional properties of a material, such as its electrical conductivity, mechanical strength, thermal stability, and resistance to corrosion. The production of materials with improved performance for a range of applications has been made possible by improvements in materials processing methods, such as sev

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Jang, Seungsoo, Kyung Taek Bae, Dongyeon Kim, et al. "Microstructural Analysis of Solid Oxide Electrochemical Cells via 3D Reconstruction Using a FIB-SEM Dual Beam System." ECS Transactions 111, no. 6 (2023): 1265–69. http://dx.doi.org/10.1149/11106.1265ecst.

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Solid oxide electrochemical cells (SOCs) have attracted increasing attention as energy conversion devices due to their high efficiency. The microstructures of SOCs play a critical role in their electrochemical performance, however, characterizing them is challenging due to their heterogeneous microstructure. This paper describes a quantitative analysis of SOC microstructures via 3D reconstruction technique using a focused ion beam-scanning electron microscope (FIB-SEM) dual beam system. The reconstructed SOC electrodes offer microstructural characteristics, including particle and pore size, to

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Héripré, E., D. Caldemaison, A. Roos, and J. Crépin. "Microstrain Analysis of Titanium Aluminides." Materials Science Forum 638-642 (January 2010): 1330–35. http://dx.doi.org/10.4028/www.scientific.net/msf.638-642.1330.

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The aeronautic and automotive industries have shown a renewed interest in TiAl based alloys. The main reasons for such an interest are their low density (~3,8g/cm3), a good stiffness and a high strength for temperatures up to 750°C. However, these alloys exhibit, in their polycrystalline form, a poor ductility at room temperature with widely scattered values. The aim of this study is therefore to characterise their mechanical behaviour with a multiscale methodology, coupling microstructure analysis and strain field measurements. This methodology employs orientation imaging microscopy as well a

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Dissertations / Theses on the topic "Microstructure analysis"

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Axelsson, Maria. "Image analysis for volumetric characterisation of microstructure /." Uppsala : Centre for Image Analysis, Swedish University of Agricultural Sciences, 2009. http://epsilon.slu.se/200919.pdf.

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Dolzmann, Georg. "Variational methods for crystalline microstructure : analysis and computation /." Berlin [u.a.] : Springer, 2003. http://www.loc.gov/catdir/enhancements/fy0813/2002036690-d.html.

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Lee, Kyuyong. "Analysis and control of microstructure in binary alloys." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/2164.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Physics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Mosaliganti, Kishore Rao. "Microscopy Image Analysis Algorithms for Biological Microstructure Characterization." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211390127.

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De, Bono Damaso M. "Inverse analysis and microstructure effects in nanoindentation testing." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/841572/.

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Inverse analysis of nanoindentation data has attracted increasing interest in industry due to its ability to estimate the bulk tensile properties of materials and potentially offers an alternative technique to conventional characterisation methods. Inverse analysis of nanoindentation data is particularly valuable in applications where conventional techniques are not suitable due to either the scale of characterisation (very small regions) or because the testing is expensive and time consuming. Despite using best practices to minimise sources of error in the experimental data, given the scale o

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Camesasca, Marco. "MULTISCALING ANALYSIS OF FLUIDIC SYSTEMS: MIXING AND MICROSTRUCTURE CHARACTERIZATION." online version, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1144350255.

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Miao, Teng. "Essays in microstructure analysis in the foreign exchange market." Thesis, City University London, 2010. http://openaccess.city.ac.uk/12193/.

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The aim of this thesis is to investigate the effects of foreign exchange order flows on exchange rate and stock market changes, in particular to examine the forecasting power of order flows and better understand the nature of the private information conveyed in order flows in the foreign exchange market. Chapter 1 investigates the performance of foreign exchange customer order flows (six major exchange rates over 3.5 years) as an additional explanatory variable to technical analysis to forecast exchange rate changes by applying genetic algorithm non-linear methodology. Using the interval permu

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Kim, Jeong I. "Analysis and Applications of Microstructure and Holey Optical Fibers." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/29089.

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Microstructure and photonic crystal fibers with periodic as well as random refractive-index distributions are investigated. Two cases corresponding to fibers with one-dimensional (1D) radial index distributions and two-dimensional (2D) transverse index distributions are considered. For 1D geometries with an arbitrary number of cladding layers, exact analytical solutions of guided modes are obtained using a matrix approach. In this part, for random index distributions, the average transmission properties are calculated and the influence of glass/air ratio on these properties is assessed. Import

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Khoral, Paramjeet S. 1963 Carleton University Dissertation Engineering Mechanical. "Coupling microstructure to heat transfer computation in weld analysis." Ottawa.:, 1989.

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Davock, Helen Jane. "Analysis of multilayer coatings by electron microscopy." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366423.

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Books on the topic "Microstructure analysis"

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Ticar, Johanna Maria. 3D Analysis of the Myocardial Microstructure. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-11424-4.

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Snyder, R. L. Defect and microstructure analysis by diffraction. Oxford University Press, 1999.

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3

Mittemeijer, Eric J., and Paolo Scardi, eds. Diffraction Analysis of the Microstructure of Materials. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06723-9.

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M, Grasserbauer, and Werner H. W, eds. Analysis of Microelectronic Materials and Devices. Wiley, 1994.

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United States. National Aeronautics and Space Administration., ed. Analysis of crystallization kinetics. North-Holland, 1997.

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6

1948-, Spence R. D., ed. Chemistry and microstructure of solidified waste forms. Lewis Publishers, 1992.

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7

Conti, Sergio, and Klaus Hackl, eds. Analysis and Computation of Microstructure in Finite Plasticity. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18242-1.

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Dolzmann, Georg. Variational Methods for Crystalline Microstructure - Analysis and Computation. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b10191.

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9

Tonelli, Alan E. NMR spectroscopy and polymer microstructure: The conformational connection. VCH, 1989.

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10

(1999), EUROMAT 99. Microstructural investigation and analysis: EUROMAT 99. Edited by Svejcar J, Jouffrey Bernard, Deutsche Gesellschaft für Materialkunde, and Federation of European Materials Societies. Deutsche Gesellschaft für Materialkunde, 2000.

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Book chapters on the topic "Microstructure analysis"

1

Hernando, Isabel, Empar Llorca, and Amparo Quiles. "Microstructure." In Handbook of Dairy Foods Analysis, 2nd ed. CRC Press, 2021. http://dx.doi.org/10.1201/9780429342967-16.

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Crompton, T. R. "Polymer Microstructure." In Practical Polymer Analysis. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2874-6_10.

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Hernando, Isabel, Empar Llorca, and Amparo Quiles. "Microstructure." In Handbook of Seafood and Seafood Products Analysis, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003289401-11.

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4

Capriz, Gianfranco. "Continua with Latent Microstructure." In Analysis and Thermomechanics. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-61598-6_9.

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Carstensen, Carsten. "Numerical Analysis of Microstructure." In Universitext. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04354-7_2.

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Hernando, I., E. Llorca, and A. Quiles. "Emerging Techniques for Microstructural Analysis." In Microstructure of Dairy Products. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781118964194.ch4.

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Impoco, Gaetano. "Quantitative Image Analysis in Microscopy." In Microstructure of Dairy Products. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781118964194.ch5.

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Schmid, Jochen, Jochen Theuer, Brigitte Stahl, et al. "Texture Analysis in Quantitative Microstructure Analysis." In Metal Matrix Composites and Metallic Foams. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606203.ch33.

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Axelrad, D. R. "Stochastic Analysis of Structural Changes in Solids." In Constitutive Laws and Microstructure. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83303-8_6.

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Skytte, Jacob, Flemming Møller, Otto Abildgaard, Anders Dahl, and Rasmus Larsen. "Discriminating Yogurt Microstructure Using Diffuse Reflectance Images." In Image Analysis. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19665-7_16.

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Conference papers on the topic "Microstructure analysis"

1

Kudo, Chihana, Xinyu Yan, and Kyosuke Yoshimi. "Microstructural Analysis of MoSiBTiC Alloys Based on Scanning Electron Microscopy Image Segmentation." In AM-EPRI 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p0507.

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Abstract The microstructure of MoSiBTiC alloys is very complex, with three to four constituent phases and characteristic structures such as fine precipitates and lamellar structures. To perform the microstructural analysis efficiently, image segmentation was first performed for each phase of the microstructural images. Utilizing the Trainable Weka Segmentation method based on machine learning, the required segmentation time was dramatically reduced. Furthermore, by pre-adjusting the contrast of the images, the segmentation could be performed accurately for gray phases with different shades of

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Das, Tuhin, Salim V. Brahimi, Jun Song, and Stephen Yue. "Insights into Hydrogen Embrittlement (HE) Susceptibility of Martensitic Steels Using Finite Element Analysis (FEA) and Experiments." In CORROSION 2021. AMPP, 2021. https://doi.org/10.5006/c2021-16887.

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Abstract Microstructure and strength affect hydrogen embrittlement (HE) susceptibility of martensitic steels. In order to understand their respective roles, two martensitic steels with the same chemical composition, but different strength (and or hardness) levels were selected. Incremental step load (ISL) technique was used to evaluate the environmental hydrogen embrittlement susceptibilities (EHE) of the materials by in-situ charging of hydrogen at a cathodic potential of -1.2VSCE. Microstructural characterization was performed using TEM. Stress and hydrogen concentration distributions at the

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Li, Juan, yi zou, li xu, chao li, and Yu Nie. "Study on algorithm of ceramic microstructure feature extraction based on morphological analysis." In International Conference on Pattern Recognition and Image Analysis, edited by Mingguang Shan and Tao Lei. SPIE, 2025. https://doi.org/10.1117/12.3056099.

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Henrie, Benjamin, Mark Lyon, and Brent Adams. "Microstructure Engineering in Design." In 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-5567.

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Kaur, Namita, Alok Kumar Pandey, Rishab Arora, Mohnika Samineni, and Gajula Ramesh. "Microstructure investigation of bioinspired composites: A microstructure analysis approach." In 5TH INTERNATIONAL CONFERENCE ON DESIGN AND MANUFACTURING ASPECTS FOR SUSTAINABLE ENERGY – 2023 (5ICMED2023). AIP Publishing, 2025. https://doi.org/10.1063/5.0263431.

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Heffelfinger, Jason R., Douglas L. Medlin, H. Yoon, Haim Hermon, and Ralph B. James. "Analysis of Cd1-xZnxTe microstructure." In Optical Science, Engineering and Instrumentation '97, edited by Richard B. Hoover and F. P. Doty. SPIE, 1997. http://dx.doi.org/10.1117/12.277702.

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Semeraro, Federico, Joseph C. Ferguson, John M. Thornton, et al. "Porous Microstructure Analysis (PuMA) software." In AIAA SCITECH 2023 Forum. American Institute of Aeronautics and Astronautics, 2023. http://dx.doi.org/10.2514/6.2023-1536.

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Bertaccini, Daniele, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Symposium: Continuum Mechanics and Microstructure." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3498472.

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Chen, Xianfeng, Tingfeng Ge, Lisa Tsou, Ming Li, Chorng Niou, and W. T. Kary Chien. "Microstructure Analysis of Wafer Bump Nodule." In ISTFA 2006. ASM International, 2006. http://dx.doi.org/10.31399/asm.cp.istfa2006p0115.

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Abstract The bump nodule growing in electroplating process could be large enough to induce bump to bump short even if the nodule would be weaken by re-flow process. In this work, the microstructure of PbSn eutectic bump and Au bump nodules was analyzed with FIB, SEM and EDS. In PbSn eutectic bump nodule, void defects can be observed with FIB imaging. In Au bump nodule, radiation-like grain structure around the center of Silicon-contained particle can be observed. Based on those analysis results, voids and particles are the source of bump nodule growth. The reason for bump nodule formation is t

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Merrill, John A., Siqi Wang, Yue Zhao, Dustin Arellano, and Liangzhong Xiang. "Photoacoustic microscopy for bone microstructure analysis." In Biophotonics and Immune Responses XV, edited by Wei R. Chen. SPIE, 2020. http://dx.doi.org/10.1117/12.2550372.

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Reports on the topic "Microstructure analysis"

1

Gibson, Carl H. Analysis of Soviet Microstructure Data. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada325698.

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Chatterjee, Tapan, Stacey Kerwien, and Elias Jelis. Microstructure Analysis of Boron Nitride. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada505516.

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Chatterjee, Tapan, Stacey Kerwien, and Elias Jelis. Microstructure Analysis of Boron Nanotubes. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada562019.

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Tam, S. W., and M. J. Steindler. Transport through low porosity media -- microstructure and uncertainty analysis. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/215837.

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Toole, John M., and Raymond W. Schmitt. Analysis of Fine Structure and Microstructure Data from Fieberling Guyot. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada324305.

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Brown, Christopher U., and M. Alkan A. Donmez. Microstructure Analysis for Additive Manufacturing: A Review of Existing Standards. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.ams.100-3.

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Kelly, James F. Application of optical image analysis to quantitative microstructure characterization of composite materials. National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3681.

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Heffelfinger, J. R., D. L. Medlin, H. Yoon, and R. B. James. Analysis of Cd{sub 1{minus}x}Zn{sub x}Te microstructure. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/541884.

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Bullard, Jeffrey. MicroChar: An Application for Quantitative Analysis of Cement and Clinker Microstructure Images. National Institute of Standards and Technology, 2015. http://dx.doi.org/10.6028/nist.tn.1876.

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Kane, Joshua James, and William Enoch Windes. Initial Assessment of X-Ray Computer Tomography image analysis for material defect microstructure. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1364233.

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