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The tribological characteristics of biodiesel blends containing corn oil and nanoparticles of copper oxide and titanium dioxide were examined in this study. The prepared biodiesel blends along with nanopowders are blended with 20W-40 lubricant. The aim was to explore the potential of these blends as lubricants in various mechanical systems. A pin-on-disk equipment was used to perform the tribological tests under different stresses. The optimal outcomes were achieved with the incorporation of 100 ppm CuO with BD20, which reduced the coefficient of friction by as much as 80 % and decreased the wear rate by up to 75 % in comparison to pure biodiesel. There is also a decrease in frictional force for the sample BD20 with 100 ppm CuO and pin temperature was minimum for the sample BD20. The results indicate the viability of using corn oil biodiesel mixtures containing CuO and TiO2 nanoparticles as eco-friendly lubricants in diverse industrial applications. [ABSTRACT FROM AUTHOR]

The extensive adoption of photovoltaic arrays and the resulting reduction in carbon pollution depend on the efficiency of PV systems being improved. The photovoltaic panels' ability to generate electricity is greatly influenced by the air temperature. Therefore, reducing the temperature of the photovoltaic surface can increase its efficiency and performance. Scholars have come up with a wide variety of active and passive approaches to cooling the PV arrays. Nanofluid has recently been suggested as a viable method to cool PV panels and increase solar PV performance. In this research, a nano-CeO2/water-based nanofluid was tested to see whether it may improve the efficiency of an experimented PV panel. The nanofluid has been developed by dispersing nano-CeO2 in clean water at a low concentration. The results showed that by using the nano-CeO2/water-based nanofluid, the PV's temperature could be reduced by 15 °C and the efficiency could be increased by 1.28%. [ABSTRACT FROM AUTHOR]

In the analysis of the fuel like the liquid fuels obtained from the transesterification process of Spirulina microalgae biomass, the physicochemical characteristics correspond to fractions of gasoline, paraffin, and diesel, and to determine the environmental sustainability of its use, combustion tests were carried out on a diesel test engine (1000, 2000, and 3000 rpm) to establish a comparison with commercial neat diesel. The results obtained prove, based on the analysis of emissions and combustion, that this fuel can be a direct replacement for diesel.

Polyethylene (PE) was used as a composite material to create a fabric containing 40% pineapple, 30% jute, and 30% cotton fibres by weight. The physical characterisation is carried out, like deterioration and water absorption tests. PE-based composites were shown to have a lower water absorption rate when dipped in deionized water to perform an absorption test. Fabric/PE composites decomposed slowly in the soil during the degradation test. Alkali solution of 5 percent, 7 percent, and 9 percent sodium hydroxide by weight for 60 minutes was studied as alkali impact mechanical characteristics: mechanical testing’s like tensile strength and modulus, elongation at break, bending strength, and modulus. Data investigation exposed that the tensile strength and modulus, elongation at break, bending strength, and composite modulus values were 64 MPa and 871 MPa, 23.14 percent, 45 MPa, and 512 MPa. There were tensile strength and modulus, elongation at break, bending strength, and modulus of the neat polyethylene sheet that were 32Mpa and 342 MPa, 79 percent, 22 MPa, and 234 MPa, respectively. Compared to a polyethylene sheet, composite values for tensile strength and modulus, bending strength, and modulus raised by 107%, 156%, 110%, and 115% as a result of fabric reinforcing.

The assessment of performance is the key role factor for the gearboxes in the field of wind turbine industry. The thermal performance depends upon the viscous forces of the oil; bearing with stand capacity of the gearboxes and unnecessary irrotational forces or movements caused during the rotation of the gears at intermediate stage and high speed stage. The generation of the power starts from 15 m/s to 25 m/s with the starting rpm of 15 rpm to 1150 rpm; from initial stage to high speed stage of the gearbox. Hence the reduction of torque at higher revolutions may tends to complete reduction in power; owing to the thermal performance drop occurred due to the reduction of oil viscosities; improper maintenance during the high load conditions. This may lead to cause higher maintenance costs for the investors who is coming in front to invest huge amount of money. This present experimental work deals with latest sensors utilization to analyse the data from master gear box to slave gear box. From the results it is observed that the implementation of latest technology sensors tends to improves the maintanence costs by 20% as compared to conventional sensors. Hence it is adviced to implement the latest technology sensors which is capable to measure the wind speed loads of 20 m/s to 45 m/s. This gives range of resolution for downloading the past data and predicting the futurized data for evaluating the thermal performance drop; leads to save the maintanence costs 20% as compared to conventional methods. [ABSTRACT FROM AUTHOR]

The primary goal of this study is to evaluate the electrical characteristics of nano-particle-enhanced maize oil biodiesel for application in hybrid electric vehicles. The production of corn oil biodiesel begins with the implementation of the transesterification process, followed by the incorporation of varying compositions of CuO and TiO2 nano particles. Parameters such as breakdown voltage, permittivity, resistivity and electrical conductivity are used to evaluate the electrical properties of biodiesel blends. The resistivity value exhibits an upward trend as the diameter increases due to the dispersion of CuO along with TiO2 nano powder. Conversely, the breakdown voltage, permittivity and electrical conductivity experience a drop as the diameter increases. The mixing of CuO along with TiO2 nanoparticles has resulted in an overall improvement in electrical characteristics. [ABSTRACT FROM AUTHOR]

Corn oil biodiesel blends containing CuO nanoparticles were tested for their tribological properties in this research. The prepared biodiesel blends along with nanopowders are blended with 20W-40 lubricant. The aim was to explore the potential of these blends as lubricants in various mechanical systems. A pin-on-disk system was used to perform the tribological experiments, with each of the discs subjected to a different load. Including CuO nanoparticles into the biodiesel blends resulted in enhanced friction and wear properties. When compared to pure biodiesel, the addition of 100ppm CuO decreased the coefficient of friction by as much as 80% and the wear rate by up to 75%. These findings demonstrate the potential of using corn oil biodiesel blends with CuO nanoparticles as environmentally friendly lubricants in various industrial applications. [ABSTRACT FROM AUTHOR]

The major objective of this research was to evaluate the efficacy of biodiesel infused with CuO nanopowder as a fluid used for cutting in the framework of metal cutting processes. The transesterification process utilizing corn oil as the feedstock synthesized Biodiesel. Subsequently, the resulting biodiesel was blended with CuO nanopowder at a concentration of 100 parts per million (ppm). The aluminium work piece was firmly attached to a computer numerical control (CNC) machine, and a metal cutting process was carried out using biodiesel as the cutting fluid. The research included the evaluation of many attributes, including Arithmetic mean roughness (Ra), Root mean square roughness (Rq) and Ten Point height roughness (Rz), using the Talysurf apparatus. The results suggest that there is a positive relationship between the depth of cut and cutting time, as well as a negative relationship between the depth of cut and roughness values. Based on the results obtained, it can be deduced that the biodiesel produced has promising characteristics for use as efficient cutting fluids in the metal cutting procedure. [ABSTRACT FROM AUTHOR]

In this experimental work is based on the comparison on the three different nanoparticle mixed nanofluid usage influence on the evacuated tube solar collector (ETSC). The distilled water is initially tested to identify the better performance providing mass-flow rate then the mass-flow rate. There are three nanoparticles such as MWCNT, Al2O3, and CuO were used in to create the nanofluid by two step method to use as a heat transfer fluid in the system. There are four different combinations of nanofluid were created based on the 0.05% of volume fraction of nanoparticles involvement. The corresponding performance parameters such as outlet temperature, maximum absorbed heat and thermal efficiency were measured and calculated. Among that 50% of MWCNT, 40% of Al2O3, and 10% of CuO nanoparticle mixer of 0.05% volume fraction used nanofluid reached the 38.76% higher temperature difference 33.02% more useful heat absorbed and 33.04% of more efficiency than distilled water in the system. [ABSTRACT FROM AUTHOR]

High specific strength, strength-to-weight ratio, cheap cost, and other advantages, nanofillers are now the subject of most research on natural fibers. The current research's main goal is to combine the Taguchi and artificial neural networks (ANN) approaches to maximize the mechanical characteristics of nanocomposites. The parameters: (i) nano-SiO2 wt%, (ii) banana fiber wt%, (iii) compression pressure in MPa, and (iv) compression molding temperature in °C were selected to achieve the objectives above. An L16 orthogonal array was used to optimize the process parameters based on the Taguchi technique. According to the intended experiment, mechanical characteristics, such as tension, bending, and impact strength, were assessed. The ANN was used to forecast outcomes that were optimized. The fiber mat thickness of banana fiber and the weight ratio of nano-SiO2 showed a considerable improvement in the mechanical characteristics of hybrid composites. According to the Taguchi technique, the most significant mechanical characteristics were 47.36 MPa tensile, 64.48 MPa flexural, and 35.33 kJ of impact under circumstances of 5% SiO2, 19 MPa pressure, and 110 °C. With 95% accuracy, ANN-predicted mechanical strength. The ANN forecast was more accurate than the regression model and experimental data. The above nanobased hybrid composites are mainly employed to satisfy the needs of the contemporary vehicle sector. [ABSTRACT FROM AUTHOR]