What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Composite material
- Electrical engineering
David Dornfeld mostly deals with Machining, Acoustic emission, Machine tool, Manufacturing engineering and Mechanical engineering.
His research in Machining intersects with topics in Engineering drawing, Cutting tool, Control engineering, Edge and Process.
David Dornfeld combines subjects such as Wafer, Abrasion, Composite material, Abrasive and Chemical-mechanical planarization with his study of Engineering drawing.
His Acoustic emission research integrates issues from Structural engineering, Grinding, Tool wear and Signal processing.
David Dornfeld has researched Machine tool in several fields, including Energy consumption, Reliability engineering, Simulation and Kinetic energy recovery system.
His research integrates issues of Energy engineering and Efficient energy use in his study of Manufacturing engineering.
His most cited work include:
- Advanced monitoring of machining operations (783 citations)
- Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach (712 citations)
- Recent Advances in Mechanical Micromachining (609 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Machining, Mechanical engineering, Manufacturing engineering, Engineering drawing and Acoustic emission.
His studies in Machining integrate themes in fields like Machine tool, Edge and Cutting tool.
Mechanical engineering and Finite element method are commonly linked in his work.
His Manufacturing engineering study combines topics in areas such as Energy consumption and Process.
Wafer is closely connected to Composite material in his research, which is encompassed under the umbrella topic of Engineering drawing.
His Acoustic emission research is multidisciplinary, relying on both Diamond turning, Structural engineering and Signal, Signal processing.
He most often published in these fields:
- Machining (26.51%)
- Mechanical engineering (20.72%)
- Manufacturing engineering (17.11%)
What were the highlights of his more recent work (between 2011-2019)?
- Manufacturing engineering (17.11%)
- Energy consumption (8.92%)
- Machining (26.51%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Manufacturing engineering, Energy consumption, Machining, Process and Machine tool.
His research integrates issues of Quality and Efficient energy use in his study of Manufacturing engineering.
His Energy consumption research incorporates elements of Scheduling, Energy, Data mining and Kriging.
His study on Tool wear is often connected to Process time as part of broader study in Machining.
The various areas that David Dornfeld examines in his Process study include Product life-cycle management, Track and Electronics.
His Machine tool research is classified as research in Mechanical engineering.
Between 2011 and 2019, his most popular works were:
- Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach (712 citations)
- A Review of Engineering Research in Sustainable Manufacturing (210 citations)
- Cloud-enabled prognosis for manufacturing (200 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Composite material
- Electrical engineering
His scientific interests lie mostly in Manufacturing engineering, Advanced manufacturing, Computer-integrated manufacturing, Energy consumption and Machine tool.
His Manufacturing engineering research includes elements of Quality, Resource, Efficient energy use and Integrated business planning.
As part of one scientific family, David Dornfeld deals mainly with the area of Efficient energy use, narrowing it down to issues related to the Scale, and often Unit process and Mechanical engineering.
David Dornfeld focuses mostly in the field of Advanced manufacturing, narrowing it down to topics relating to Life-cycle assessment and, in certain cases, Pollution prevention, Competitive advantage, Integrated Computer-Aided Manufacturing and Operations research.
His Computer-integrated manufacturing study combines topics from a wide range of disciplines, such as Uncertainty quantification, Predictive modelling, Scheduling and Production planning.
His Machine tool research includes themes of Process engineering and Machining.
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.
