Assessment of Temperature and Nanoparticle Concentration on the Viscosity of Glycerine-water Based SiO2 Nanofluids | Chapter 4 | Research Developments in Science and Technology Vol. 7

 The dynamic viscosity of SiO2/22nm nanofluids created in a glycerine-water (30:70 by volume) mixed base liquid, referred to as GW70, was determined experimentally. At temperatures ranging from 20 to 80 degrees Celsius, nanofluids with concentrations of 0.2, 0.6, and 1.0 percent are generated, and viscosity measurements are taken with an LVDV-2T Brookfield Viscometer. The particle size and elemental composition of nanoparticles are determined using FESEM and EDX, while XRD images show the existence of SiO2 peaks in the crystalline structure. The rheology of nanofluids is affected by the concentration of nanoparticles. In the experimental temperature and concentration range, nanofluids behave Newtonian. The viscosity of nanofluids increased as particle concentration increased and reduced as temperature increased. At 20oC, the highest viscosity value is at 1.0 percent vol. concentration, whereas at 80oC, the lowest viscosity value is at 0.2 percent vol. concentration. The viscosity of the glycerine-water base fluid was also tested at 20, 40, 60, and 80 degrees Celsius. The viscosity ratio of all nanofluids to the base liquid is determined to be larger than one. This viscosity data may be used to determine the HTC of glycerine-water-based silica nanofluids.

Author(s) Details:

M. Mohammed Mohaideen,
Department of Aeronautical Engineering, Malla Reddy College of Engineering and Technology, Hyderabad-500100, India.

P. H. V. Sesha Talpa Sai,
Department of Mechanical Engineering, Malla Reddy College of Engineering and Technology, Hyderabad-500100, India.

M. L. R. Chaitanya Lahari,
Department of Mechanical Engineering, Malla Reddy College of Engineering and Technology, Hyderabad-500100, India.

Please see the link here: https://stm.bookpi.org/RDST-V7/article/view/7078

ANN Validation of Biodiesel Synthesis Optimization using Heterogeneous Catalyst (SiO2)| Chapter 12 | Recent Developments in Engineering Research Vol. 12

 The goal of this study is to compare the performance of convolutional windows to that of traditional windows. Convolutional windows are created by convolving the window on its own. These new windows are used to generate a pseudo-LFM signal by combining two stages of piecewise linear frequency functions. The proposed LFM signal was simulated using both traditional and convolutional window functions, and convolutional windows produced higher peak to side lobe level ratio (PSLR) values than traditional windows. The five variables that influence biodiesel yield are reaction time, stirring speed, and temperature. On a small scale, the impact of these variables has been investigated. At optimum conditions of 20% molar ratio, 3% SiO2 catalyst addition, 65oC reaction temperature, 180 min reaction time, and 500 rpm stirring speed, the experimental biodiesel yield is 77 percent. Minitab results are compared to ANN results using a script, both analytically and graphically.

Author(s) Details

Satish A. Patil
Mechanical Engineering, DYPIT, Pune (MS), India and PDEA’S College of Engineering, Manjari, Pune (Affilated to Savitribai Phule Pune University), Pune, India.

R. R. Arakerimath
G H Raisoni College of Engineering and Management, Wagholi, (Affilated to Savitribai Phule Pune University), Pune, India.

View Book :- https://stm.bookpi.org/RDER-V12/article/view/1489