What is he best known for?
The fields of study he is best known for:
- Thermodynamics
- Mechanics
- Mechanical engineering
His primary scientific interests are in Mechanics, Heat transfer, Thermodynamics, Reynolds number and Heat transfer coefficient.
The study of Mechanics is intertwined with the study of Classical mechanics in a number of ways.
His Heat transfer study incorporates themes from Mechanical engineering, Vortex, Fluid dynamics, Pressure drop and Transient.
Bernhard Weigand combines subjects such as Pressure gradient, Computation and Internal flow with his study of Thermodynamics.
His Heat transfer coefficient research is multidisciplinary, incorporating perspectives in Plenum chamber, Thermocouple, Optics, Dimple and Leading edge.
His research in Turbulence intersects with topics in Prandtl number and Laminar flow.
His most cited work include:
- Multiple Jet Impingement − A Review (160 citations)
- Direct numerical simulation of evaporating droplets (119 citations)
- Effect of viscosity on droplet-droplet collision outcome: Experimental study and numerical comparison (86 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Mechanics, Heat transfer, Turbulence, Reynolds number and Thermodynamics.
Heat transfer coefficient, Flow, Jet, Direct numerical simulation and Pressure drop are the primary areas of interest in his Mechanics study.
His studies examine the connections between Direct numerical simulation and genetics, as well as such issues in Volume of fluid method, with regards to Free surface.
His work deals with themes such as Nusselt number, Mechanical engineering, Laminar flow and Liquid crystal, which intersect with Heat transfer.
His research brings together the fields of Computational fluid dynamics and Reynolds number.
Specifically, his work in Thermodynamics is concerned with the study of Thermal conduction.
He most often published in these fields:
- Mechanics (65.15%)
- Heat transfer (31.68%)
- Turbulence (18.22%)
What were the highlights of his more recent work (between 2018-2021)?
- Mechanics (65.15%)
- Turbulence (18.22%)
- Reynolds number (16.63%)
In recent papers he was focusing on the following fields of study:
Bernhard Weigand mainly focuses on Mechanics, Turbulence, Reynolds number, Heat transfer and Direct numerical simulation.
His research integrates issues of Evaporation, Work and Porous medium in his study of Mechanics.
His study ties his expertise on Computational fluid dynamics together with the subject of Turbulence.
His Reynolds number research incorporates themes from Flow, Open-channel flow, Vector field and Convection.
The Heat transfer study which covers Jet that intersects with Turbomachinery.
His biological study spans a wide range of topics, including Compressibility, Boundary layer, Volume of fluid method, Computer simulation and Turbulence kinetic energy.
Between 2018 and 2021, his most popular works were:
- Direct numerical simulation of convective heat transfer in porous media (19 citations)
- Experimental and numerical investigation of phase separation due to multicomponent mixing at high-pressure conditions (15 citations)
- Laboratory Experiments of High-Pressure Fluid Drops (14 citations)
In his most recent research, the most cited papers focused on:
- Thermodynamics
- Mechanical engineering
- Mechanics
The scientist’s investigation covers issues in Mechanics, Turbulence, Reynolds number, Heat transfer and Flow.
He brings together Mechanics and Range to produce work in his papers.
His Turbulence study combines topics from a wide range of disciplines, such as Enstrophy, Boundary layer and Buoyancy.
His study in Reynolds number is interdisciplinary in nature, drawing from both Algebraic number, Jet, Open-channel flow, Constitutive equation and Scalar.
His work carried out in the field of Heat transfer brings together such families of science as Surface roughness and Isothermal process.
His work carried out in the field of Flow brings together such families of science as Mixing and Advection.
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.
