What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Composite material
Chi Fai Cheung spends much of his time researching Machining, Diamond turning, Mechanical engineering, Surface roughness and Surface finish.
His biological study spans a wide range of topics, including Kinematics and Compensation.
His Diamond turning study incorporates themes from Engineering drawing and Copper.
His study in Mechanical engineering is interdisciplinary in nature, drawing from both Precision engineering, Microplasticity, Surface and Anisotropy.
His Surface roughness research is multidisciplinary, relying on both Vibration, New product development, Manufacturing engineering and Optics.
In his study, Profilometer, Surface metrology and Metal matrix composite is strongly linked to Diamond, which falls under the umbrella field of Surface finish.
His most cited work include:
- A theoretical and experimental investigation of surface roughness formation in ultra-precision diamond turning (130 citations)
- A dynamic surface topography model for the prediction of nano-surface generation in ultra-precision machining (104 citations)
- Characterisation of nanosurface generation in single-point diamond turning (104 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Machining, Mechanical engineering, Surface, Diamond turning and Ultra precision.
His work in Machining addresses issues such as Surface roughness, which are connected to fields such as Vibration.
His Mechanical engineering research is multidisciplinary, incorporating elements of Precision engineering, Compensation and Microstructure.
His work in Surface covers topics such as Artificial intelligence which are related to areas like Pattern recognition.
Chi Fai Cheung combines topics linked to Anisotropy with his work on Diamond turning.
His work deals with themes such as Jet and Material removal, which intersect with Polishing.
He most often published in these fields:
- Machining (32.64%)
- Mechanical engineering (29.24%)
- Surface (21.15%)
What were the highlights of his more recent work (between 2016-2021)?
- Polishing (11.23%)
- Machining (32.64%)
- Surface (21.15%)
In recent papers he was focusing on the following fields of study:
Polishing, Machining, Surface, Mechanical engineering and Composite material are his primary areas of study.
His work carried out in the field of Machining brings together such families of science as Surface finish, Diamond, Optics, Vibration and Microstructure.
His work on Diamond turning is typically connected to Diamond tool as part of general Diamond study, connecting several disciplines of science.
Chi Fai Cheung has included themes like Grinding, Curvature, Artificial intelligence, Ultra precision and Extrapolation in his Surface study.
The concepts of his Mechanical engineering study are interwoven with issues in Development, Kinematics and Metrology.
His work in the fields of Surface roughness, Surface integrity, Brittleness and Grinding wheel overlaps with other areas such as Magnetic field.
Between 2016 and 2021, his most popular works were:
- On-machine and in-process surface metrology for precision manufacturing (69 citations)
- Reusable and Recyclable Graphene Masks with Outstanding Superhydrophobic and Photothermal Performances. (58 citations)
- A novel multi-jet polishing process and tool for high-efficiency polishing (41 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Optics
The scientist’s investigation covers issues in Polishing, Optics, Mechanical engineering, Surface and Machining.
His Optics research incorporates elements of Jet, Abrasive and Nozzle.
In his research on the topic of Nozzle, Grinding, Vibration and Grinding wheel is strongly related with Surface roughness.
As part of his studies on Mechanical engineering, Chi Fai Cheung frequently links adjacent subjects like Kinematics.
His research investigates the connection between Surface and topics such as Algorithm that intersect with problems in Measurement uncertainty, B-spline and Basis function.
The Machining study combines topics in areas such as Compensation, Diamond, Motion control, Microstructure and Self-optimization.
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