Performance Analysis of The Hairpin Heat Exchanger Using Different Nano Fluids
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 3
Abstract
An apparatus that moves heat from one fluid to another is a heat exchanger. To avoid mixing, the fluids may be separated by a solid wall, or they may be in direct touchHairpin Exchangers are available in bare tubes, finned tubes, U-tubes, straight tubes (with rod-thru capability), fixed tube sheets, and detachable bundles. They also come in single tubes (Double Pipe) and numerous tubes within a hairpin shell (Multitude). The combination characteristics of nano fluid and base fluid water are calculated in this article. Magnesium Oxide and silver nano particle volume fractions of 0.35, 0.45, 0.55, and 0.65 percent at varied velocities (0.5, 1,1.5, and 2 m/s) were used as nano fluids. The properties of nanofluids are calculated theoretically, and the results are used as inputs for analysisA 3D model of the hair pin heat exchanger with and without twisted tape is made using CREO parametric software. CFD analysis of the hair pin heat exchanger is performed at different nanofluid volume fractions. The pressure drop, Reynolds number, heat transfer coefficient, and Nusselt number are all determined using CFD analysis.
Authors and Affiliations
P. Kiranbabu, V. Sivaprasad, Raghuram Pradhan, L. Ramprasad Reddy, S. Kondala Rao, Yarram Srinivasa Reddy
Food Serving Robot for Contactless Experience
As the world is emerging towards new trends and technologies; there is a need to invent something that is more attractive and useful for the citizens. This research work highlights a very young area of ​​application...
Improved HMM by Deep Learning for Ear Classification
Ear recognition is one of the most relevant applications of image analysis. It’s a true challenge to build an automated system which exceeds human ability to recognize ears. Humans do not identify the ears ordinarily, so...
StockGuru: Smart Way to Predict Stock Price Using Machine Learning
Stock price prediction is a trending concept in today’s world. The proposed work uses Twitter data to predict public mood and use the predicted mood to predict the stock market movements. The ceaseless use of social medi...
Kinetics of Free-Radical Nonbranched-Chain Processes of Formation of1,2-Alkanediols,Carbonyl Compounds,and Methanol in Alcohol–Formaldehyde Solutions Including Determinationof Free Formaldehyde and Solvent Concentrations
A mechanism of the initiated nonbranched-chain process of form-ing 1,2-alkanediols,carbonyl compounds, and methanolin alco-hol–formaldehyde systems is suggested. The quasi-steady-state treatment is used to obtain kinetic...
A Detailed Review on Disease Prediction Models that uses Machine Learning
Human body is guarded by the immune system, but sometimes this immune system alone is not capable of preventing our body from diseases. Environmental conditions and living habits of people are the cause of many diseases...