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Michal Kuffa

Observed names: Kuffa Michal, Kuffa, Michal, M. Kuffa
Institution: Inspire
ORCID: 0000-0002-5326-1269
Observed ORCID: 0000-0002-5326-1269
OpenAlex ID: A5091495609
Identification of in-process machine tool dynamics using forced vibrations in milling process
2022 · Vahid Ostad Ali Akbari, Yaser Mohammadi, et al. · International Journal of Mechanical Sciences · 51
Investigation of friction modeling on numerical Ti6Al4V cutting simulations
2024 · Nanyuan Zhang, Hagen Klippel, et al. · International Journal of Mechanical Sciences · 33
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Abrasive and adhesive wear behaviour of metallic bonds in a synthetic slurry test for wear prediction in reinforced concrete
2021 · Stefan Fabbro, Lucas Marra Araujo, et al. · Wear · 28
Physics-informed Bayesian machine learning for probabilistic inference and refinement of milling stability predictions
2023 · Vahid Ostad Ali Akbari, Michal Kuffa, et al. · CIRP journal of manufacturing science and technology · 24
Comparison of lubrication conditions for grinding of mild steel with electroplated cBN wheel
2016 · Michal Kuffa, Fredy Kuster, et al. · CIRP journal of manufacturing science and technology · 23
Hybrid SPH-FEM solver for metal cutting simulations on the GPU including thermal contact modeling
2023 · Nanyuan Zhang, Hagen Klippel, et al. · CIRP journal of manufacturing science and technology · 22
Large-scale investigation of dry orthogonal cutting experiments Ti6Al4V and Ck45
2024 · Hagen Klippel, Stefan Süssmaier, et al. · The International Journal of Advanced Manufacturing Technology · 17
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A new grinding strategy to improve the acoustic properties of railway tracks
2016 · Michal Kuffa, Daniel Ziegler, et al. · Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit · 17
Study on the effect of wear models in tool wear simulation using hybrid SPH-FEM method
2023 · Nanyuan Zhang, Hagen Klippel, et al. · Procedia CIRP · 16
Improving stability predictions in milling by incorporation of toolholder sound emissions
2022 · Vahid Ostad Ali Akbari, M. Postel, et al. · CIRP journal of manufacturing science and technology · 14
Cutting Force Prediction of Ti6Al4V using a Machine Learning Model of SPH Orthogonal Cutting Process Simulations
2022 · Hagen Klippel, Eduardo Gonzalez Sanchez, et al. · Journal of Machine Engineering · 13
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A Kinematic Process Model and Investigation of Surface Roughness for High Efficiency Dry Grinding
2016 · Michal Kuffa, Simon Züger, et al. · Procedia CIRP · 12
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Acoustic Roughness Measurement of Railway Tracks: Implementation of a Chord-Based Optical Measurement System on a Train
2022 · Florian Mauz, Remo Wigger, et al. · Applied Sciences · 7
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Experimental study and smoothed particle hydrodynamics simulation of synthetic diamond grit scratching on steel
2022 · Stefan Fabbro, Mohamadreza Afrasiabi, et al. · International Journal of Solids and Structures · 7
Dry Cutting Experiments Database Ti6Al4V and Ck45
2022 · Klippel, Hagen, Süssmaier, Stefan, et al. · arXiv (Cornell University) · 6
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Acoustic Roughness Measurement of Railway Tracks: Laboratory Investigation of External Disturbances on the Chord-Method with an Optical Measurement Approach
2022 · Florian Mauz, Remo Wigger, et al. · Applied Sciences · 6
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Enhancing orthogonal finishing machining of Ti6Al4V with laser-ablated tool geometry modifications
2024 · Fabian Kneubühler, Nanyuan Zhang, et al. · The International Journal of Advanced Manufacturing Technology · 5
Automatic Detection of the Running Surface of Railway Tracks Based on Laser Profilometer Data and Supervised Machine Learning
2024 · Florian Mauz, Remo Wigger, et al. · Sensors · 5
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Automatic Characterization of WEDM Single Craters Through AI Based Object Detection
2024 · Eduardo Gonzalez-Sanchez, Davide Saccardo, et al. · International Journal of Automation Technology · 5
Automated machine tool dynamics identification for predicting milling stability charts in industrial applications
2024 · Vahid Ostad Ali Akbari, Christian Schuppisser, et al. · The International Journal of Advanced Manufacturing Technology · 5
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Acoustic Roughness Measurement of Railway Tracks: Running Surface Detection and Compensation of Lateral Movements for Optical Measurements on a Train
2023 · Florian Mauz, Remo Wigger, et al. · Sensors · 5
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Automated Evaluation of Continuous and Segmented Chip Geometries Based on Image Processing Methods and a Convolutional Neural Network
2022 · Hagen Klippel, Samuel Pflaum, et al. · Journal of Machine Engineering · 5
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Acoustic roughness measurement of railway tracks: Implementation of an optical measurement approach & possible improvements to the standard
2022 · Florian Mauz, Remo Wigger, et al. · Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit · 5
Stochastic Kinematic Process Model with an Implemented Wear Model for High Feed Dry Grinding
2017 · Michal Kuffa, Fredy Kuster, et al. · Inventions · 5
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Ignition Delay Time Modeling in Wire-EDM
2023 · Paulo Matheus Borges Esteves, Micha Hensen, et al. · Journal of Manufacturing and Materials Processing · 4
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Works count: 46
Citation count: 361
H-index: 12
I10-index: 12
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