G
G. Venkatesan
Researcher at Sethu Institute of Technology
Publications - 29
Citations - 241
G. Venkatesan is an academic researcher from Sethu Institute of Technology. The author has contributed to research in topics: Low-temperature thermal desalination & Taguchi methods. The author has an hindex of 7, co-authored 15 publications receiving 139 citations. Previous affiliations of G. Venkatesan include Texas A&M University & National Institute of Ocean Technology.
Papers
More filters
Journal ArticleDOI
Numerical analysis of curved vane demisters in estimating water droplet separation efficiency
TL;DR: In this article, a vane demister profile identified from literature, on which experimental data is available, is chosen and water particles at the rated flow rate and distribution are injected.
Journal ArticleDOI
Influence of turbulence models on the performance prediction of flow through curved vane demisters
TL;DR: In this article, two dimensional computational analyses with different turbulence models are carried out for the flow of single phase fluid (air) through curved vane demisters, as used in desalination plants.
Journal ArticleDOI
Regression analysis of a curved vane demister with Taguchi based optimization
TL;DR: In this paper, a Taguchi coupled CFD analysis was performed to select the optimal geometrical parameters for a curved vane demister, and the results of the chosen objective functions were fed to the statistical tool Minitab.
Journal ArticleDOI
Design and selection of curved vane demisters using Taguchi based CFD analysis
TL;DR: In this paper, a baseline design of a curved vane demister was chosen and the key geometrical parameter which influences the demister performance was identified, and a design of an experiment approach using Taguchi method was chosen to select an orthogonal array of 25 designs.
Journal ArticleDOI
Evaluation of EDM process parameters on titanium alloy through Taguchi approach
TL;DR: In this article, the impact of variables for machining, such as spark on time, discharge current, and voltage based on the Taguchi strategy method was examined and optimized for Titanium machining.