Dominik Britz
Dominik Britz
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Zitiert von
Zitiert von
Advanced steel microstructural classification by deep learning methods
SM Azimi, D Britz, M Engstler, M Fritz, F Mücklich
Scientific reports 8 (1), 1-14, 2018
Advanced microstructure classification by data mining methods
J Gola, D Britz, T Staudt, M Winter, AS Schneider, M Ludovici, F Mücklich
Computational Materials Science 148, 324-335, 2018
Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels
J Gola, J Webel, D Britz, A Guitar, T Staudt, M Winter, F Mücklich
Computational Materials Science 160, 186-196, 2019
Reproducible surface contrasting and orientation correlation of low-carbon steels by time-resolved beraha color etching
D Britz, A Hegetschweiler, M Roberts, F Mücklich
Materials Performance and Characterization 5 (5), 553-563, 2016
A new analysis approach based on Haralick texture features for the characterization of microstructure on the example of low-alloy steels
J Webel, J Gola, D Britz, F Mücklich
Materials Characterization 144, 584-596, 2018
A correlative approach to capture and quantify substructures by means of image registration
D Britz, J Webel, J Gola, F Mücklich
Practical Metallography 54 (10), 685-696, 2017
Identifying and quantifying microstructures in low-alloyed steels: a correlative approach
D Britz, J Webel, A Schneider, F Mücklich
Metallurgia Italiana 3, 5-10, 2017
Effect of indentation temperature on nickel-titanium indentation-induced two-way shape-memory surfaces
SA Brinckmann, M Frensemeier, CM Laursen, HJ Maier, D Britz, ...
Materials Science and Engineering: A 675, 253-261, 2016
Why we need all dimensions to solve both very old and very new questions in materials at the micro-, nano-and atomic scales
F Mücklich, M Engstler, D Britz, J Barrirero, P Rossi
Practical Metallography 52 (9), 507-524, 2015
Secondary carbides in high chromium cast irons: An alternative approach to their morphological and spatial distribution characterization
MA Guitar, A Scheid, S Suárez, D Britz, MD Guigou, F Mücklich
Materials Characterization 144, 621-630, 2018
Investigation of Austenite Evolution in Low-Carbon Steel by Combining Thermo-Mechanical Simulation and EBSD Data
S Weyand, D Britz, D Rupp, F Mücklich
Materials Performance and Characterization 4 (3), 322-340, 2015
Serial Sectioning Techniques–a Versatile Method for Three-Dimensional Microstructural Imaging: The working group “Serial Sectioning Tomography” is headed by Prof. Dr.-Ing …
F Mücklich, M Engstler, D Britz, J Gola
Practical Metallography 55 (8), 569-578, 2018
The Effect of Thermal Processing and Chemical Composition on Secondary Carbide Precipitation and Hardness in High-Chromium Cast Irons
MA Guitar, UP Nayak, D Britz, F Mücklich
International Journal of Metalcasting, 1-11, 2020
Tracing Microalloy Precipitation in Nb-Ti HSLA Steel during Austenite Conditioning
J Webel, A Herges, D Britz, E Detemple, V Flaxa, H Mohrbacher, ...
Metals 10 (2), 243, 2020
Evaluation of the etching process for analysis of secondary carbides in HCCI by optical and confocal laser microscopy
MA Guitar, A Scheid, D Britz, F Muecklich
Practical Metallography 56 (4), 246-261, 2019
Opening the Door to Fundamental Understanding of Structure and Color Metallography-a Correlative Microscopy Study on Steel
D Britz, A Hegetschweiler, F Mücklich
Microscopy and Microanalysis 20 (S3), 834-835, 2014
RVE-size Estimation and Efficient Microstructure-based Simulation of Dual-Phase Steel
F Scherff, J Gola, S Scholl, K Srivastava, T Staudt, D Britz, F Mücklich, ...
Technische Mechanik-European Journal of Engineering Mechanics 40 (2), 175-190, 2020
Quantification of the Phase Transformation Kinetics in High Chromium Cast Irons Using Dilatometry and Metallographic Techniques
MA Guitar, A Scheid, UP Nayak, L Nakamura, D Ponge, D Britz, ...
Application of Trainable Segmentation to Microstructural Images Using Low-alloy Steels as an Example
M Müller, D Britz, F Mücklich
Practical Metallography 57 (5), 337-358, 2020
Classification of Bainitic Structures Using Textural Parameters and Machine Learning Techniques
M Müller, D Britz, L Ulrich, T Staudt, F Mücklich
Metals 10 (5), 630, 2020
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