Krishna D.P. Nigam

What is he best known for?

The fields of study he is best known for:

• Thermodynamics
• Organic chemistry
• Catalysis

Krishna D.P. Nigam mainly investigates Thermodynamics, Mechanics, Laminar flow, Heat transfer and Computational fluid dynamics. In his research on the topic of Thermodynamics, Surface tension is strongly related with Flow. His work on Mechanics is being expanded to include thematically relevant topics such as Electromagnetic coil.

The concepts of his Laminar flow study are interwoven with issues in Mass transfer, Schmidt number, Reynolds number, Dean number and Residence time distribution. The various areas that Krishna D.P. Nigam examines in his Heat transfer study include Mixing and Chaotic mixing. His Computational fluid dynamics study integrates concerns from other disciplines, such as Volume of fluid method, Simulation, Computer simulation and Two-phase flow.

His most cited work include:

• Static Mixers in the Process Industries—A Review (334 citations)
• A Review on the Potential Applications of Curved Geometries in Process Industry (226 citations)
• Pressure drop and heat transfer study in tube-in-tube helical heat exchanger (167 citations)

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

Krishna D.P. Nigam mostly deals with Mechanics, Thermodynamics, Laminar flow, Heat transfer and Flow. Mechanics and Mixing are commonly linked in his work. His Mixing research includes themes of Mass transfer and Bubble.

His work in Laminar flow covers topics such as Secondary flow which are related to areas like Slug flow. His Heat transfer research is multidisciplinary, incorporating perspectives in Nusselt number and Heat exchanger. His study looks at the relationship between Pressure drop and fields such as Trickle-bed reactor, as well as how they intersect with chemical problems.

He most often published in these fields:

• Mechanics (44.25%)
• Thermodynamics (23.01%)
• Laminar flow (16.37%)

What were the highlights of his more recent work (between 2016-2021)?

• Mechanics (44.25%)
• Heat transfer (17.26%)
• Mass transfer (13.72%)

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

The scientist’s investigation covers issues in Mechanics, Heat transfer, Mass transfer, Flow and Computational fluid dynamics. His work is connected to Reynolds number, Dean number, Laminar flow, Secondary flow and Pressure drop, as a part of Mechanics. Laminar flow is the subject of his research, which falls under Thermodynamics.

His biological study spans a wide range of topics, including Nusselt number, Heat exchanger and Working fluid. He interconnects Mixing and Volumetric flow rate in the investigation of issues within Mass transfer. His Computational fluid dynamics research is multidisciplinary, incorporating elements of Mass transfer coefficient and Homogenization.

Between 2016 and 2021, his most popular works were:

• Novel technologies and conventional processes for recovery of metals from waste electrical and electronic equipment: Challenges & opportunities – A review (41 citations)
• Heat transfer model for thermal performance analysis of parabolic trough solar collectors using nanofluids (37 citations)
• Heat transfer model for thermal performance analysis of parabolic trough solar collectors using nanofluids (37 citations)

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

• Thermodynamics
• Organic chemistry
• Catalysis

Krishna D.P. Nigam focuses on Mechanics, Mixing, Mass transfer, Laminar flow and Pressure drop. Mechanics is closely attributed to Thermodynamics in his research. His Mixing course of study focuses on Vortex and Volume, Chaotic mixing, Capillary action, Dispersion and Flow.

His study in Mass transfer is interdisciplinary in nature, drawing from both Chemical process and Analytical chemistry. The Laminar flow study combines topics in areas such as Computational fluid dynamics, Turbulence, Reynolds number, Electromagnetic coil and Mixing. In the subject of general Heat transfer, his work in Thermal resistance is often linked to Solver, thereby combining diverse domains of study.