Devendra Yadav | IIT Dhanbad, Dhanbad (original) (raw)
Papers by Devendra Yadav
Conference Paper, 2017
In this experimental investigation, the effect of concentration, size, and temperature on the vis... more In this experimental investigation, the effect of concentration, size, and temperature on the viscosity of Al 2 O 3-water nanofluid has been studied. The experiments performed on the various concentration of Al 2 O 3-water nanofluid with particle size 13 nm, 50 nm and 150 nm in the temperature range of 25-80 ℃. The viscosity data were collected using stress-controlled Bohlin Gemini rheometer. The effect of pH value on the viscosity has also been studied. Exponentially decrease in viscosity with an increase in temperature was observed. It has been analyzed and found that the viscosity decreases with temperature and follow the same pattern of decrement for all concentration and size of nanofluid. Al 2 O 3-water nanofluid has been found Newtonian behavior for 50 nm and 150 nm particle size samples at the ambient temperature in the shear rate range 100 s-1 to 250 s-1 .
Book Chapter, 2020
The heat pipe has higher thermal conductance, which prominent the thermal transport from one poin... more The heat pipe has higher thermal conductance, which prominent the thermal transport from one point to another point and makes it the most useful in the cooling applications. In this work, the heat pipe is designed and made to cool the electronic devices based on the case study on different parameters (pipe material, working fluid, length, angle, mesh size of wick). The pipe has a length of 30 cm, the internal diameter of 1 cm and a thickness 1 mm. Evaporator, adiabatic and condenser section lengths are 8.5 cm, 6.5 cm and 15 cm, respectively. The coolant filling ratio for water-based heat pipe is 85% of evaporator volume and for acetone-based is 100% by volume of evaporators. Annular fins (5 × 5 cm2) of aluminium plates are used in the condenser section to enhance the heat transfer, and fin gap is 1.2 cm. The efficient cooling for heat pipes is observed at 60° of inclination and at a temperature of 60 °C. The maximum heat transfer capability of the wick is maximum at horizontal position.
AIP Confernce, 2018
Effect of surface moisture on the effectiveness of the hydrophobisation of mortars with pumice ag... more Effect of surface moisture on the effectiveness of the hydrophobisation of mortars with pumice aggregate
IEEE Conference, 2020
Artificial neural network techniques are widely used for prediction purposes. The main advantage ... more Artificial neural network techniques are widely used for prediction purposes. The main advantage of ANN is on the solution of complex non-linear problems. The thermophysical properties of nanofluids depend on many parameters i.e. nature of the base fluid, particle, temperature, volume concentration, shape and size of nanoparticles etc. This dependency makes the relation between thermophysical property and variable parameters very complex and is very difficult for prediction purposes. The accurate prediction of thermophysical properties cannot be done by conventional models, this time artificial neural network technique is suited for accurate prediction. In this work, different % Vol. concentration (0.1-2%) CNT based nanofluids were prepared at various base fluids (transformer oil, Ethylene Glycol (EG), and water). Their thermal conductivity was measured by transient hot-wire setup at different temperatures (20-50). The thermal conductivity results from the measurement were higher than those predicted by the conventional models. Therefore, a Multilayer perceptron (ANN) model has been utilized for accurate prediction of thermal conductivity at different base fluid, concentration and temperature. These variable parameters were selected as input for the ANN model. For the prediction of thermal conductivity in the broad range of parameters. Levenberg-Marquardt algorithm was employed in the present ANN model. The final optimal model can accurately predict the thermal conductivity of CNT nanofluids. The predicted thermal conductivity of the CNT nanofluid of the ANN model coincides with the experimental data. Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and correlation coefficient (R 2) were the selection criteria of the ANN model. For the final optimal model, their values were 0.005, 0.0033 and 0.9999 respectively. The deviation of results was within ±5%. The present ANN model have a higher prediction capability over conventional models.
![Research paper thumbnail of Analysis Over Trio-Tube with Dual Thermal Communication Surface Heat Exchanger [TTH Xr.]](https://attachments.academia-assets.com/63654710/thumbnails/1.jpg)
](Book Chapter, 2020
The thermal performance of the trio tube with a dual thermal communication surface heat exchanger... more The thermal performance of the trio tube with a dual thermal communication surface heat exchanger (T.T.H. Xr) is analyzed experimentally under the steady-state conditions. Water was used as a working fluid which was available at three different inlet temperatures of cold (C), hot (H), and normal (N). The performance of T.T.H. Xr was compared for the three different flow arrangements of C–H–N, C–H–C, and N–H–C at counter-current flow. The pipes were made of aluminum (inner tube 12.7 mm), copper (intermediate tube 25.4 mm), and GI tube (outer tube 38.1 mm), all pipes having a thickness of 1.5 mm. N–H–C and C–H–C flow arrangements show better heat transfer results compared to C–H–N. The results from experiments were also verified numerically by using the derived equations. A case study was also performed on the results obtained from T.T.H.Xr to compare its performance with the double-tube heat exchanger on the same parameters. It was observed that the pipe length for T.T.H.Xr reduced by ~58.39% compared to the double-tube heat exchanger to extract the same amount of heat transfer from the hot fluid.
In this work, an experimental setup for trio tube heat exchanger is designed and fabricated. The ... more In this work, an experimental setup for trio tube heat exchanger is designed and fabricated. The experimental setup is comprises of aluminum (inner tube 12.7 mm) and copper (intermediate tube 25.4 mm) and GI tube (outer tube 38.1 mm). The effective length of the heat exchanger is 2.1 m. For the hot fluid, a 2000 W capacity immersion heater was used to raise the temperature of the water. In this experimental setup, heat can be transferred between three liquids. Which is it'sspecial competence over the double tube heat exchanger. Three different flow arrangements can be maintained in the heat exchanger; N-H-C, C-H-C and C-H-N. The performance of the experimental setup was initially tested for water. The measurements were taken at 50 ℃ temperature of hot water and 30℃ of the other two water streams at the inlet. The experiments were conducted for counter flow arrangements of fluid streams so that the performance of the heat exchanger can be checked at the maximum amount of heat extraction from hot water. The temperature variation along the length of the heat exchanger was analyzed, the graphs are in good agreement with the standard graphs.
Conference Paper, 2017
In this experimental investigation, the effect of concentration, size, and temperature on the vis... more In this experimental investigation, the effect of concentration, size, and temperature on the viscosity of Al 2 O 3-water nanofluid has been studied. The experiments performed on the various concentration of Al 2 O 3-water nanofluid with particle size 13 nm, 50 nm and 150 nm in the temperature range of 25-80 ℃. The viscosity data were collected using stress-controlled Bohlin Gemini rheometer. The effect of pH value on the viscosity has also been studied. Exponentially decrease in viscosity with an increase in temperature was observed. It has been analyzed and found that the viscosity decreases with temperature and follow the same pattern of decrement for all concentration and size of nanofluid. Al 2 O 3-water nanofluid has been found Newtonian behavior for 50 nm and 150 nm particle size samples at the ambient temperature in the shear rate range 100 s-1 to 250 s-1 .
Book Chapter, 2020
The heat pipe has higher thermal conductance, which prominent the thermal transport from one poin... more The heat pipe has higher thermal conductance, which prominent the thermal transport from one point to another point and makes it the most useful in the cooling applications. In this work, the heat pipe is designed and made to cool the electronic devices based on the case study on different parameters (pipe material, working fluid, length, angle, mesh size of wick). The pipe has a length of 30 cm, the internal diameter of 1 cm and a thickness 1 mm. Evaporator, adiabatic and condenser section lengths are 8.5 cm, 6.5 cm and 15 cm, respectively. The coolant filling ratio for water-based heat pipe is 85% of evaporator volume and for acetone-based is 100% by volume of evaporators. Annular fins (5 × 5 cm2) of aluminium plates are used in the condenser section to enhance the heat transfer, and fin gap is 1.2 cm. The efficient cooling for heat pipes is observed at 60° of inclination and at a temperature of 60 °C. The maximum heat transfer capability of the wick is maximum at horizontal position.
AIP Confernce, 2018
Effect of surface moisture on the effectiveness of the hydrophobisation of mortars with pumice ag... more Effect of surface moisture on the effectiveness of the hydrophobisation of mortars with pumice aggregate
IEEE Conference, 2020
Artificial neural network techniques are widely used for prediction purposes. The main advantage ... more Artificial neural network techniques are widely used for prediction purposes. The main advantage of ANN is on the solution of complex non-linear problems. The thermophysical properties of nanofluids depend on many parameters i.e. nature of the base fluid, particle, temperature, volume concentration, shape and size of nanoparticles etc. This dependency makes the relation between thermophysical property and variable parameters very complex and is very difficult for prediction purposes. The accurate prediction of thermophysical properties cannot be done by conventional models, this time artificial neural network technique is suited for accurate prediction. In this work, different % Vol. concentration (0.1-2%) CNT based nanofluids were prepared at various base fluids (transformer oil, Ethylene Glycol (EG), and water). Their thermal conductivity was measured by transient hot-wire setup at different temperatures (20-50). The thermal conductivity results from the measurement were higher than those predicted by the conventional models. Therefore, a Multilayer perceptron (ANN) model has been utilized for accurate prediction of thermal conductivity at different base fluid, concentration and temperature. These variable parameters were selected as input for the ANN model. For the prediction of thermal conductivity in the broad range of parameters. Levenberg-Marquardt algorithm was employed in the present ANN model. The final optimal model can accurately predict the thermal conductivity of CNT nanofluids. The predicted thermal conductivity of the CNT nanofluid of the ANN model coincides with the experimental data. Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and correlation coefficient (R 2) were the selection criteria of the ANN model. For the final optimal model, their values were 0.005, 0.0033 and 0.9999 respectively. The deviation of results was within ±5%. The present ANN model have a higher prediction capability over conventional models.
Book Chapter, 2020
The thermal performance of the trio tube with a dual thermal communication surface heat exchanger... more The thermal performance of the trio tube with a dual thermal communication surface heat exchanger (T.T.H. Xr) is analyzed experimentally under the steady-state conditions. Water was used as a working fluid which was available at three different inlet temperatures of cold (C), hot (H), and normal (N). The performance of T.T.H. Xr was compared for the three different flow arrangements of C–H–N, C–H–C, and N–H–C at counter-current flow. The pipes were made of aluminum (inner tube 12.7 mm), copper (intermediate tube 25.4 mm), and GI tube (outer tube 38.1 mm), all pipes having a thickness of 1.5 mm. N–H–C and C–H–C flow arrangements show better heat transfer results compared to C–H–N. The results from experiments were also verified numerically by using the derived equations. A case study was also performed on the results obtained from T.T.H.Xr to compare its performance with the double-tube heat exchanger on the same parameters. It was observed that the pipe length for T.T.H.Xr reduced by ~58.39% compared to the double-tube heat exchanger to extract the same amount of heat transfer from the hot fluid.
In this work, an experimental setup for trio tube heat exchanger is designed and fabricated. The ... more In this work, an experimental setup for trio tube heat exchanger is designed and fabricated. The experimental setup is comprises of aluminum (inner tube 12.7 mm) and copper (intermediate tube 25.4 mm) and GI tube (outer tube 38.1 mm). The effective length of the heat exchanger is 2.1 m. For the hot fluid, a 2000 W capacity immersion heater was used to raise the temperature of the water. In this experimental setup, heat can be transferred between three liquids. Which is it'sspecial competence over the double tube heat exchanger. Three different flow arrangements can be maintained in the heat exchanger; N-H-C, C-H-C and C-H-N. The performance of the experimental setup was initially tested for water. The measurements were taken at 50 ℃ temperature of hot water and 30℃ of the other two water streams at the inlet. The experiments were conducted for counter flow arrangements of fluid streams so that the performance of the heat exchanger can be checked at the maximum amount of heat extraction from hot water. The temperature variation along the length of the heat exchanger was analyzed, the graphs are in good agreement with the standard graphs.