R. Zielke - Concepedia

Author

R. Zielke

TU Dortmund University ORCID

Also Known As

R Zielke, R. Zielke, Reiner Zielke, Zielke, R., Zielke, Reiner

Publications

185

Citations

H-Index

Concepts

All Affiliations

TU Dortmund University Institut für Forschung und Transfer University of Stuttgart

About

R. Zielke is an author at TU Dortmund University specializing in engineering, microstructure, and mechanics of materials.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	109
2	Health Sciences	1	1	11
3	Chemical Engineering	1	1	11
4	Electrical Engineering	1	1	29
5	Environmental Engineering	1	1	11

R. Zielke

Publications

133

Citations

H-Index

Page 1

	Year	Citations
Application of magneto-optical method for real-time visualization of eddy currents with high spatial resolution for nondestructive testing Uwe Radtke, R. Zielke, H.-G. Rademacher, Optics and Lasers in Engineering Optical Eddy CurrentMagnetismReal-time VisualizationEngineeringCoherent Gradient Sensing	2001	42
Investigation of PLC band nucleation in AA5754 X. Feng, G. Fischer, R. Zielke, Materials Science and Engineering A Electrical EngineeringEngineeringPlc Band NucleationNucleationCrystallography	2012	29
Void distribution in a brazed cemented carbide steel joint analyzed by X-ray microscopy Wadih Yared, Chih‐Yu Chen, Norman Sievers, Measurement Materials ScienceEngineeringVoid DistributionMechanical EngineeringCarbide Steel	2019	14
Examination of the Porosity in Reactive Air Brazed Joints by Ultrasonic Testing Wolfgang Tillmann, Norman Sievers, Jan Pfeiffer, Advanced Engineering Materials EngineeringMechanical EngineeringReactive AirCeramic PowdersAcoustic Cavitation	2014	13
A numerical method for the generation of hierarchical Poisson Voronoi microstructures applied in micromechanical finite element simulations—part I: method Yanling Schneider, Ulrich Weber, W. Wasserbäch, Computational Mechanics	2020	12
Experimental Investigations of Micro-Meso Damage Evolution for a Co/WC-Type Tool Material with Application of Digital Image Correlation and Machine Learning Yanling Schneider, R. Zielke, Chensheng Xu, Materials	2021	12
Modeling the separation performance of depth filter considering tomographic data K. Hoppe, Michail Maricanov, Gerhard Schaldach, Environmental Progress & Sustainable Energy FiltrationImage ReconstructionEngineeringDepth MapUnderwater Imaging	2020	11

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