World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
76
Citations
26087
World Ranking
265
National Ranking
130

Overview

David Dornfeld was affiliated with the University of California, Berkeley in the United States. Throughout their career, Dornfeld contributed to the academic community primarily through their association with this institution.

Although there are no specific publications or frequent co-authors listed, Dornfeld's profile does not include detailed information on recent papers or primary topics of research. Similarly, no data is available about the main fields or subfields of study, frequent publication venues, or book publications from Dornfeld.

Dornfeld is noted as deceased, and as such, all references to their academic career are presented in the past tense to reflect this status.

Best Publications

  • Advanced monitoring of machining operations

    Roberto Teti;Krzysztof Jemielniak;Garret O'Donnell;David Dornfeld

  • Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach

    Joost R. Duflou;John W. Sutherland;David Dornfeld;Christoph Herrmann

  • Recent Advances in Mechanical Micromachining

    David Dornfeld;Sangkee Min;Y. Takeuchi

  • Tool Condition Monitoring (TCM) — The Status of Research and Industrial Application

    G. Byrne;D. Dornfeld;I. Inasaki;G. Ketteler

  • Material removal mechanism in chemical mechanical polishing: theory and modeling

    Jianfeng Luo;D.A. Dornfeld

  • Advancing Cutting Technology

    G. Byrne;David Dornfeld;B. Denkena

  • Intelligent Manufacturing Systems

    Andrew Kusiak;David Dornfeld

  • Burrs—Analysis, control and removal

    J.C. Aurich;D. Dornfeld;P.J. Arrazola;V. Franke

  • Present Situation and Future Trends in Modelling of Machining Operations Progress Report of the CIRP Working Group ‘Modelling of Machining Operations’

    C.A. van Luttervelt;T.H.C. Childs;I.S. Jawahir;F. Klocke

  • Material Removal Mechanisms in Lapping and Polishing

    C. J. Evans;E. Paul;David Dornfeld;D. A. Lucca

  • Cloud-enabled prognosis for manufacturing

    Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld

  • Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use

    Nancy Diaz;Elena Redelsheimer;David Dornfeld

  • A Review of Engineering Research in Sustainable Manufacturing

    Karl R. Haapala;Fu Zhao;Jaime Camelio;John W. Sutherland

  • Automated energy monitoring of machine tools

    Athulan Vijayaraghavan;David Dornfeld

  • Precision manufacturing process monitoring with acoustic emission

    D.E. Lee;I. Hwang;C.M.O. Valente;J.F.G. Oliveira

  • Sensor Integration Using Neural Networks for Intelligent Tool Condition Monitoring

    S. Rangwala;D. Dornfeld

  • Neural Network Sensor Fusion for Tool Condition Monitoring

    David A. Dornfeld;M.F. DeVries

  • Moving Towards Green and Sustainable Manufacturing

    David Alan Dornfeld

  • Quantitative Relationships for Acoustic Emission from Orthogonal Metal Cutting

    Elijah Kannatey-Asibu;David A. Dornfeld

  • Drilling Burr Formation in Titanium Alloy, Ti-6AI-4V

    D.A. Dornfeld;J.S. Kim;H. Dechow;J. Hewson

  • Learning and optimization of machining operations using computing abilities of neural networks

    S.S. Rangwala;D.A. Dornfeld

Frequent Co-Authors

Chris Yuan
Chris Yuan Case Western Reserve University
Paul K. Wright
Paul K. Wright University of California, Berkeley
Arpad Horvath
Arpad Horvath University of California, Berkeley
John W. Sutherland
John W. Sutherland Purdue University West Lafayette
Kincho H. Law
Kincho H. Law Stanford University
Sung-Hoon Ahn
Sung-Hoon Ahn Seoul National University
Fritz Klocke
Fritz Klocke RWTH Aachen University
Yuebin Guo
Yuebin Guo Rutgers, The State University of New Jersey
Tarek I. Zohdi
Tarek I. Zohdi University of California, Berkeley
Volker Schulze
Volker Schulze Karlsruhe Institute of Technology

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Best Scientists Citing David Dornfeld