24 research outputs found
sj-docx-1-pic-10.1177_09544062231163493 – Supplemental material for Heat transfer coefficient and thermal performance of heat pipe with R134a/mineral oil nanodiamond+Fe3O4 hybrid nanorefrigerant
No full textSupplemental material, sj-docx-1-pic-10.1177_09544062231163493 for Heat transfer coefficient and thermal performance of heat pipe with R134a/mineral oil nanodiamond+Fe3O4 hybrid nanorefrigerant by Lingala Syam Sundar, Abdulaziz Mohammed Alklaibi, Kotturu VV Chandra Mouli and Deepanraj Balakrishnan in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science</p
sj-docx-1-pie-10.1177_09544089221127617 - Supplemental material for Numerical investigation of nanoparticles dispersion on forced / mixed convective flows and heat transfer in a lid-driven stepped cavity configurations
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221127617 for Numerical investigation of nanoparticles dispersion on forced / mixed convective flows and heat transfer in a lid-driven stepped cavity configurations by Purohitam Narasimha Siva Teja, Santhosh Kumar Gugulothu, Puchalapalli Dinesh Sankar Reddy and Balakrishnan Deepanraj in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
ANN prediction analysis of engine performance and emissions characteristics using a new set of plastic pyrolysis oil blended with pure diesel
No full textArtificial Neural Network a soft tool enabled by Artificial intelligence was utilized to accurately predict engine performance and emissions analysis using a new set of plastic pyrolysis oil blended with pure diesel. Under various loads, blends, and speeds, this chapter analyzed the effect of plastic pyrolysis oil (PPO) on a diesel engine's performance and emissions, which were used to forecast performance and emissions. The ANN models have the potential to produce a more accurate estimate of the brake thermal efficiency, brake-specific fuel consumption, and emission performance parameters
Experimental investigation on the performance of a pyramid solar still for varying water depth, contaminated water temperature, and addition of circular fins
No full textThe experimental investigation was meant to investigate the effect of water depth in the basin, the water temperature at the inlet of solar still, and adding circular fins to the pyramid solar still on freshwater output. The investigation was divided into three sections. The first area of research is to study effect of increasing water depth in the solar still, which ranged from 2 to 6 cm, second section concentrated on varying the inflow water temperature from 30 to 50ºC, and third section investigated the influence of incorporating circular fins into the solar still basin on the water output and quality. The experimental findings showed that basin depth considerably impacts freshwater flow. The highest significant difference, 38%, was recorded by changing the water level in the basin from 2 to 6 cm. Freshwater yielded the most at a depth of 2 cm, totalling 1250.3 mL, followed by 1046 mL at a depth of 3 cm. A water depth of 4 cm produced 999 mL, whereas a water depth of 5 cm made 911 mL. The lowest production occurred at a water depth of 6 cm, producing 732 mL; furthermore, including fins at the bottom increased productivity by 8.2%. Elevating the temperature from 30 to 50ºC of the inlet water led to a water output increase of 15.3% to 22.2%. These findings underscore the profound potential of harnessing solar energy to address global water challenges and pave the way for further advancements in efficient freshwater productio
Study on performance and emission characteristics of a single cylinder diesel engine using exhaust gas recirculation
No full text
Dielectric Resonant Antenna Technology for Wireless Transfer in Electric Vehicles
No full textExploring Dielectric Resonator Antennas (DRAs) in Electric Vehicles (EVs) Wireless Power Transfer (WPT) systems is the focus of this study. DRA technology has gained prominence for its unique advantages, offering high efficiency and compact form factors in comparison to conventional antennas. In the context of EVs, the integration of DRAs in WPT systems has shown promising results in addressing challenges related to charging efficiency and spatial constraints. The resonant properties of DRAs enhance power transfer efficiency by mitigating impedance mismatches and reducing energy losses during transmission. Furthermore, the dielectric material properties of DRAs contribute to minimizing electromagnetic interference and enhancing the reliability of WPT in EV applications. This highlights the potential benefits of employing DRAs in achieving robust and efficient wireless charging solutions for electric vehicles. The study encompasses theoretical analysis, simulation studies, and practical implementations to validate the performance of DRAs in WPT systems. The findings suggest that DRA-based WPT systems present a compelling avenue for advancing the state-of-the-art in EV charging technology with efficiency of 84%, providing a more streamlined and effective approach to meet the growing demands of electric mobility in scooters
Preconcentrations of Pb(II), Ni(II) and Zn(II) by solid phase bio-extractor using thermophilic Bacillus subtilis loaded multiwalled carbon nanotube biosorbent
No full textAn alternative biotechnological solid phase bio-extraction (SPE) method was developed. Bacillus subtilis loaded multiwalled carbon nanotube was designed and used as biosorbent for the preconcentrations of Pb(II), Ni(II), and Zn(II). The experimental parameters such as sample flow rate, pH of sample solution, amounts of Bacillus subtilis and multiwalled carbon nanotube, volume of sample solution and reusability of column which affects the analytical characteristics of the SPE method were investigated in details. Surface structures were examined by using FTIR, SEM. The best pH was determined as 5.0 and the percentages recoveries of Zn(II), Ni(II), and Pb(II) were determined as 99.1%, 98.7%, and 96.2%, respectively, at a flow rate of 3 mL/min. In this study, in which the profitable sample volume was determined as 400 mL and the amount of multiwalled carbon nanotube (MWCNT) as 50 mg. It was also observed that the column had a significant potential to preconcentrate Zn(II), Ni(II), and Pb(II) even after 25 reuses. The biosorption capacities for Zn(II), Ni(II) and Pb(II) were calculated as 39.67 mg/g, 45.98 mg/g and 51.34 mg/g respectively. The LOD values were calculated as 0.024 ng/mL for Pb(II), 0.029 ng/mL for Ni(II), and 0.019 ng/mL for Zn(II). The linear range was detected as 0.25–25 ng/mL. The concentrations of Pb(II), Ni(II), and Zn(II) in a variety of real food samples were determined by using developed method after application of certified reference sample
Optimization of chromium (VI) reduction in aqueous solution using magnetic Fe<sub>3</sub>O<sub>4</sub> sludge resulting from electrocoagulation process
No full textThe reuse of electro-coagulated sludge as an adsorbent for Cr(VI) ion reduction was investigated in this study. Electro-coagulated sludge was obtained during the removal of citric acid wastewater by the electrocoagulation process. The following parameters were optimized for Cr(VI) reduction: pH (5–7), initial Cr(VI) concentration (10–50 mg/L), contact time (10–45 min), and adsorbent dosage (0.5–1.5 g/L). Cr(VI) reduction optimization reduction experimental sets were designed using response surface design. Cr(VI) reduction optimization results 97.0% removal efficiency and 15.1 mg/g adsorption capacity were obtained at pH 5.0, 1.5 g/L electro-coagulated Fe3O4 sludge, 10 mg/L initial Cr(VI) concentration and 45 min reaction time. According to the isotherm results, the experimental data are compatible with the Freundlich isotherm model, and since it is defined by the pseudo-second order model emphasizes that the driving forces of the Cr(VI) reduction process are rapid transfer of Cr(VI) to the adsorbent surface. The reusability of the adsorbent was investigated and Cr(VI) reduction was achieved at a high rate even in the 5th cycle. All these results clearly show that electro-coagulated Fe3O4 sludge is an effective, inexpensive adsorbent for Cr(VI) removal from wastewater
Prediction-optimization of the influence of 1-pentanol/jatropha oil blends on RCCI engine characteristics using multi-objective response surface methodology
No full textDespite their higher viscosity and longer ignition delay, alternative fuels like biodiesel can be used instead of fossil fuels. This study investigated the potential of the 1-pentanol (10, 20, and 30%) as the low reactivity fuel, which is a cetane value improver, and jatropha oil blended with diesel is considered the high reactivity fuel. 1-Pentanol was found to affect emission and combustion properties. Response surface methodology is adopted to forecast the operating parameters such as injection timing (23, 25, and 27 degrees bTDC) and engine load (50, 75, and 100%). This ideal model is used to obtain engine characteristics for different fuel blends. The model's robustness was demonstrated because Theil's uncertainty in its predictive abilities was less than 0.1189(Theil's U2). With a mean absolute percentage error of less than 1.18%, Nash-Sutcliffe efficiency was outstanding (0.9885-0.9995). With the help of results obtained from experiments, various models were developed and validated. The ideal engine parameters found were 73% of engine load, PES of 24%, and FIT of 24.9(degrees) bTDC (advanced), and under this configuration, better engine characteristics are achieved. Also, ANOVA, a statistically valid test, is used to develop a regression model. The regression model is adequate for the following R-2 values obtained, according to the test results: BTE: 99.57%, BSFC: 98.86%, Pmax: 98.83%, NOx: 98.22%, HC: 99.70% and CO: 98.38% respectively.(c) 2022 Elsevier Ltd. All rights reserved
