D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 46 Citations 8,428 304 World Ranking 786 National Ranking 358

Research.com Recognitions

Awards & Achievements

2001 - Fellow of the American Society of Mechanical Engineers

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Composite material
  • Electrical engineering

Kornel F. Ehmann mainly investigates Mechanical engineering, Machining, Vibration, Structural engineering and Engineering drawing. His studies deal with areas such as Development, Finite element method, Torque and Edge as well as Mechanical engineering. His Machining research includes themes of Mechanics, Surface and Cutting tool.

Kornel F. Ehmann combines subjects such as Ultrasonic sensor, Mill, Rolling mill and Dimple with his study of Vibration. Within one scientific family, Kornel F. Ehmann focuses on topics pertaining to Needle insertion under Structural engineering, and may sometimes address concerns connected to Bevel. His Engineering drawing research focuses on Sensitivity and how it connects with Machine tool, Workspace, Position, Propagation of uncertainty and Ball joint.

His most cited work include:

  • The Mechanics of Machining at the Microscale: Assessment of the Current State of the Science (326 citations)
  • Machining Process Modeling: A Review (232 citations)
  • Machining of Carbon Fiber Reinforced Plastics/Polymers: A Literature Review (153 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Mechanical engineering, Machining, Structural engineering, Composite material and Vibration. The Mechanical engineering study combines topics in areas such as Point and Surface. Kornel F. Ehmann interconnects Machine tool, Engineering drawing, Edge and Laser in the investigation of issues within Machining.

In his study, Control theory, Workspace and Position is strongly linked to Kinematics, which falls under the umbrella field of Machine tool. His Laser ablation study in the realm of Laser interacts with subjects such as Surface micromachining. His work on Finite element method as part of his general Structural engineering study is frequently connected to DSIF, thereby bridging the divide between different branches of science.

He most often published in these fields:

  • Mechanical engineering (28.23%)
  • Machining (25.83%)
  • Structural engineering (16.52%)

What were the highlights of his more recent work (between 2017-2021)?

  • Composite material (14.41%)
  • Laser (11.41%)
  • Machining (25.83%)

In recent papers he was focusing on the following fields of study:

Composite material, Laser, Machining, Mechanical engineering and Deposition are his primary areas of study. In his study, which falls under the umbrella issue of Composite material, Mechanics, Sheet metal and Dielectrophoresis is strongly linked to Water jet. His work on Laser ablation as part of general Laser research is frequently linked to Plasma and Surface micromachining, thereby connecting diverse disciplines of science.

His research in Mechanical engineering intersects with topics in Chip, Surface and Feature. His Surface research is multidisciplinary, incorporating elements of Vibration and Surface roughness. His studies in Deposition integrate themes in fields like Substrate, Volume and Nozzle.

Between 2017 and 2021, his most popular works were:

  • Data-driven multi-scale multi-physics models to derive process---structure---property relationships for additive manufacturing (77 citations)
  • Deep learning predicts path-dependent plasticity. (48 citations)
  • Towards atomic and close-to-atomic scale manufacturing (48 citations)

In his most recent research, the most cited papers focused on:

  • Mechanical engineering
  • Composite material
  • Electrical engineering

His primary areas of study are Mechanical engineering, Machining, Laser, Composite material and Incremental sheet forming. His Mechanical engineering research is multidisciplinary, incorporating perspectives in Feature, Surface and Chip. His Surface research focuses on subjects like Engineering drawing, which are linked to Kinematics.

He usually deals with Kinematics and limits it to topics linked to Linear stage and Control theory and Position. His work focuses on many connections between Chip and other disciplines, such as Edge, that overlap with his field of interest in Finite element method. Kornel F. Ehmann has included themes like Wetting and Pulse, Optics in his Machining study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Mechanics of Machining at the Microscale: Assessment of the Current State of the Science

X. Liu;R. E. DeVor;S. G. Kapoor;K. F. Ehmann.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2004)

577 Citations

The Mechanics of Machining at the Microscale: Assessment of the Current State of the Science

X. Liu;R. E. DeVor;S. G. Kapoor;K. F. Ehmann.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2004)

577 Citations

Machining Process Modeling: A Review

K. F. Ehmann;S. G. Kapoor;R. E. DeVor;I. Lazoglu.
Journal of Manufacturing Science and Engineering-transactions of The Asme (1997)

405 Citations

Machining Process Modeling: A Review

K. F. Ehmann;S. G. Kapoor;R. E. DeVor;I. Lazoglu.
Journal of Manufacturing Science and Engineering-transactions of The Asme (1997)

405 Citations

Machining of Carbon Fiber Reinforced Plastics/Polymers: A Literature Review

Demeng Che;Ishan Saxena;Peidong Han;Ping Guo.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2014)

265 Citations

Machining of Carbon Fiber Reinforced Plastics/Polymers: A Literature Review

Demeng Che;Ishan Saxena;Peidong Han;Ping Guo.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2014)

265 Citations

Volumetric Error Analysis of a Stewart Platform-Based Machine Tool

A.J. Patel;K.F. Ehmann.
CIRP Annals (1997)

241 Citations

Volumetric Error Analysis of a Stewart Platform-Based Machine Tool

A.J. Patel;K.F. Ehmann.
CIRP Annals (1997)

241 Citations

Deep learning predicts path-dependent plasticity.

M Mozaffar;R Bostanabad;R Bostanabad;W Chen;K Ehmann.
Proceedings of the National Academy of Sciences of the United States of America (2019)

203 Citations

A CAD approach to helical groove machining—I. mathematical model and model solution

S. K. Kang;Kornel Ehmann;C. Lin.
International Journal of Machine Tools & Manufacture (1996)

168 Citations

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