Nanotubes Research Articles

Multi-Response Modelling and Optimization of Agave Cantala Natural Fiber and Multi-wall Carbon Nano Tube Reinforced Polymer Nanocomposite: Application of Mixture Design

Multi-Response Modelling and Optimization of Agave Cantala Natural Fiber and Multi-wall Carbon Nano Tube Reinforced Polymer Nanocomposite: Application of Mixture Design

Review on the Relationship between Nano Modifications of Geopolymer Concrete and Their Structural Characteristics.

The main objective of this review is to study some important nanomaterials and their impact on the performance of geopolymer concrete. This paper is an investigation into trends and technology in the development of different nanomaterials to develop higher structural performance geopolymer concrete. The effect of the alkaline to binder and sodium silicate to sodium hydroxide ratio on the performances of geopolymer performances is studied. The relationship between setting time and slump is evaluated through the ternary plot, the variation in compressive strength values is evaluated using the kernel density plot, and the relationship between split tensile and flexural strength is investigated using the scattering interval plot. Regression analysis is carried out among water absorption and bulk-density result values obtained from previous literature. As the molarity and alkaline to binder (A/B) ratios increase, the strength development of geopolymer concrete increases up to a specific limit. The addition of a small quantity of nanomaterials, namely, nano silica, nano alumina, carbon nano tubes, and nano clay, led to the maximum strength development of geopolymer concrete. Incorporating these nanomaterials into the geopolymer significantly refines the structural stability, improving its durability. The various products in GP composites emerging from the incorporation of highly reactive SEM, XRD, and FTIR analysis of nanomaterials reveal that the presence of nanomaterials, which enhances the rate of polymerization, leads to better performance of the geopolymer.

Magnetic responsive mesoporous alginate/β-cyclodextrin polymer beads enhance selectivity and adsorption of heavy metal ions

Mesoporous (~7–8 nm) biopolymer hydrogel beads (HNTs-FeNPs@Alg/β-CD) were synthesised via ionic polymerisation route to separate heavy metal ions. The adsorption capacity of HNTs-FeNPs@Alg/β-CD was higher than that of raw halloysite nano tubes (HNTs), iron nanoparticles (FeNPs), and bare alginate beads. FeNPs induce the magnetic properties of adsorbent and metal-based functional groups in and around the hydrogel beads. The mesoporous surface of the adsorbent permits access of heavy metal ions onto the polymer beads to interact with internal active sites and the mesoporous polymer network. Maximum adsorption capacities of lead (Pb), copper (Cu), cadmium (Cd), and nickel (Ni) were 21.09 mg/g, 15.54 mg/g, 2.47 mg/g, and 2.68 mg/g, respectively. HNTs-FeNPs@Alg/β-CD was able to adsorb heavy metals efficiently (75–99%) under environment-relevant concentrations (200 μg/L) from mixed metal contaminants. The adsorption and selectivity trends of heavy metals were Pb > Cu > Cd > Ni, despite electrostatic binding strength of Cd > Cu > Pb > Ni and covalent binding strength of Pb > Ni > Cu > Cd. It demonstrated that not only chemosorption but also physisorption acts as the sorption mechanism. The reduction in surface area, porosity, and pore volume of the expended adsorbent, along with sorption study results, confirmed that pore filling and intra-particle diffusion played a considerable role in removing heavy metals.

A Review on Mechanical Properties of Deformation Mechanism of Tubular Nanostructures: Molecular Dynamics Simulations

A molecular dynamic (MD) simulation, which is used for estimating mechanical properties of both microscopic and mesoscopic materials during loading/unloading processes. Understanding the deformation mechanisms of material's internal structure, shape and volume is a key step to enhance its strength and rigidity. Novel nanostructures, nanoparticles and nanocomposites, more efficient, selective, and environmental friendly can be developed and suggested. At the moment, few experimental methods can characterize molecular mechanisms due to their time-consuming and cost-intensive. Therefore, MD simulation allows to gain understanding in structure-to-function relationships involved in the low-dimensional materials. Specifically, MD simulation can be performed on the time scale of nanoseconds, and in three dimensions, it is thus sufficient for the study of the mechanical behaviors and deformation mechanisms at a molecular level. This work reviews the progress in MD simulation of the mechanical properties and structure deformations for various tubular nanomaterials including silicon, carbon and III-V compound nanotubes (NTs), respectively. In particular, we have a detailed description and analysis of the impacts of environmental and structural factors on material strength for the present nanostructures. It is hopeful that this review can provide certain reference for the follow-up research.

Utilizing Nanotechnology to Solve Drilling Problems in Iraqi Oil Fields

Nanotechnology is a recent technology which is used in all industry sectors. In the oil and gas industry, this technology is commonly used due to its importance in solving the problems encountered while drilling operations and production stages. Nanotechnology can be used to improve the drilling process by adding nano-materials to drilling fluids in order to reduce drilling problems. This research is extended to previous research that published in journal of petroleum research and studies to compared the effect of nano-materials [Commercial nano-materials Multi Walled Carbone Nano Tube (MWCNT) and nano silicon oxide (SiO2) with nano-silica (rice husks, that prepared in PRDC labs) on water base drilling mud properties].
 All characterization tests were achieved by the Nanotechnology and advanced materials researches center it is belongs to the University of Technology. The investigated properties of drilling mud included rheological properties and filtration. All tests are conducted according to API specifications (American Petroleum Institute).
 The results show an improvement in the rheological properties (plastic viscosity, yield point, apparent viscosity and gel strength) and filtration after adding the commercial MWCNT, nano silicon dioxide(Sio2) and the prepared nano-silica (rice husks) to the water based mud. The results of plastic viscosity of MWCNT,Sio2 and nano silica(rice husks) are 12,20,8 cp after adding 0.7 gm to the water base mud while the amount of filter is 11.8 ml after adding nano particle size of MWCNT , nanoSio2 and 11.6 after adding nano silica(rice husks). The prepared nano silica (rice husks) gave results similar to the results of the commercial nano silicon dioxide (SiO2). Therefore, using of nano silica (rice husks) can be cost effective due to producing these materials locally instead of using the commercial nano SiO2.

Transition metal co-doped TiO2 nanotubes decorated with Pt nanoparticles on optical fibers as an efficient photocatalyst for the decomposition of hazardous gaseous pollutants

In this study, pristine TiO2 nanotubes (NTs) and Fe-, Ni-, Co- and Pt co-doped TiO2 NTs are synthesized via the hydrothermal method and photodecomposition of a mixture of NH3, CH4, and CO2 are investigated under simulated solar light irradiation. The physiochemical analysis confirms the formation of NTs and the stable oxidation state of co-doped TiO2 NTs. The photocatalytic activity analysis of the co-doped TiO2 NTs decorated with Pt shows superior performance compared to pure and Pt-doped TiO2 NTs which could be due to light absorption from the ultraviolet to the visible region and reduction of bandgap energy from 3.08 (TiO2) to 1.69 eV. Moreover, the nanostructures of co-doped TiO2 NTs/Pt NPs are coated on optical fibers which increase the efficiency of reactions by enabling complete light absorption revealing a synergistic improvement in the decomposition efficiency of the NH3 (95%), CO2 (60%), and CH4 (60%) in a mixture of gases.

Fabrication of TiO2/NiO p-n Nanocomposite for Enhancement Dye Photodegradation under Solar Radiation.

A p-n nanocomposite based on TiO2 nanotubes (NTs) and NiO nanoparticles (NPs) was designed and optimized in this study to improve the photocatalytic performance of methylene blue (MB). The hydrothermal technique has been used to produce TiO2/NiO nanocomposites with different NiO NPs weight ratios; 1TiO2:1NiO, 1TiO2:2NiO, and 1TiO2:3NiO. The crystal phase, chemical composition, optical properties, and morphology of TiO2/NiO were explored by various techniques. TiO2 NTs have a monoclinic structure, while NiO NPs have a cubic structure, according to the structural study. The bandgap of TiO2 NTs was reduced from 3.54 eV to 2.69 eV after controlling the NiO NPs weight ratio. The TiO2/2NiO nanocomposite showed the best photodegradation efficiency. Within 45 min of solar light irradiation, the efficiency of MB dye degradation using TiO2/2NiO hits 99.5% versus 73% using pure TiO2 NTs. Furthermore, the catalytic photodegradation efficiency did not deteriorate significantly even after five reusability cycles, intimating the high stability of the TiO2/2NiO nanocomposite. This suggests that the loading of NiO NPs into TiO2 NTs lowers the recombination of photo-produced electron/hole pairs and enlarged solar spectral response range, which results in improved photocatalytic activity. The mechanism of charge transfer in the TiO2/NiO and kinetic models were discussed for the photodegradation of MB.

Application of neural network based regression model to gas concentration analysis of TiO2 nanotube-type gas sensors

We performed a gas analysis of TiO2 nanotube (NT)-type integrated gas sensors using a machine learning (ML) algorithm and neural network-based regression. We fabricated a TiO2-NT integrated gas sensor with multiple sensing elements with different response characteristics, and we measured the output signals of each sensing element exposed to a gas mixture, where the main components were nitrogen and oxygen gas with a small amount of carbon monoxide. We analyzed the output signals of the sensor elements using the ML technique to predict the concentrations of CO and O2, to which the TiO2-NT gas sensors were sensitive. Sensor output data were collected for seven sets of mixed gas concentrations with different concentrations of each component gas. Four or five of the seven datasets were used as ML training data for the neural network method, and the concentrations of CO and O2 in the remaining three or two datasets were predicted. Consequently, we confirmed that increasing the number of sensor elements significantly improved the prediction accuracy of the gas concentration. When the output signals from 10 sensor elements were used, the gas concentration could be predicted with an accuracy of less than 0.001% for a carbon monoxide concentration of 0.02%. This accuracy was sufficient for practical application.

A facile template-assisted synthesis of large-scale Bi2O3 nanotube arrays for self-powered UV photodetector

Large-scale Bi2O3 nanotubes (NTs) arrays were successfully synthesized on ITO substrate with the assistance of ZnO nanorods template at room temperature. The as-synthesized highly orientated Bi2O3 NTs with an average diameter of ∼95 nm were well distributed throughout the entire substrate. Moreover, Bi2O3 NTs were employed to construct the ultraviolet photodetector (UVPD). Received to UV irradiation, the Bi2O3 NTs UVPD displayed a high average current density of 40.4 μA/cm2, coupled with fast average rise time of ∼28.8 ms and decay time of ∼40.9 ms. Furthermore, the Bi2O3 NTs UVPD could carry out accurate UV detection without external bias as well as maintain good stability and repeatability. Additionally, the UV detection mechanism of the as-assembled Bi2O3 NTs UVPD was also discussed.

Thermal tuning of the morphology of hydrothermally synthesized CeO2 nanotubes for photocatalytic applications

CeO2 nanotubes (NT) were synthesized via a hydrothermal method, employing two different alkaline bases, NaOH, and KOH, to obtain NTNaOH-CeO2 and NTKOH-CeO2. The as-produced NTNaOH-CeO2 and NTKOH-CeO2 were heated in air to study their morphological evolution and characterize the influence of morphology on their photocatalytic activities. Two morphological changes were observed, from NTNaOH-CeO2 and NTKOH-CeO2 nanotubes at room temperature to nanobars at temperatures starting from 375 °C, followed by a recrystallization of these at 550 °C and above. These transformations correspond to irreversible structural modifications that changed the morphological and optical properties as characterized by a high-resolution transmission electron microscope (HRTEM), X-ray diffraction (XRD), IR spectra, temperature-dependent Raman spectroscopy, thermo-gravimetric analysis (TGA), and photocatalytic activity. Higher temperatures produced significantly lower wavenumber shifts in the Raman band spectra of NTNaOH-CeO2 and NTKOH-CeO2. The dominant F2g phonon exhibited monotonic lower wavenumber shifts with increasing temperatures. A discontinuity on the phonon broadening for NTKOH-CeO2 was observed around 345 °C. The post-temperature HR-TEM and Raman analysis confirmed the changes in the morphology of both NTNaOH-CeO2 and NTKOH-CeO2, collapsing from nanotubes to nanobars (NB). The phonon softening's linewidths and lifetimes were analyzed using a model that considered four anharmonic processes. The study of the photocatalytic response of NTNaOH-CeO2 and NTKOH-CeO2 calcined at 850 °C (with the morphology transformation from NT to NB), which resulted in the prepared material presenting superior catalytic activity when compared with commercial non-stoichiometric CeO2, having activities up to two orders of magnitude faster than similar compounds reported in the literature. The so-prepared and calcined NTMOH-CeO2 (M = K or Na) NB has potential applications in water remediation to degrade textile dyes, which are found as contaminants in water wastage in this industry.

Visible-light-driven molecularly imprinted self-powered sensor for atrazine with high sensitivity and selectivity by separating photoanode from recognition element

Atrazine (ATZ) is one of the most widely used and highly toxic triazine herbicides in the world. It is of vital significance to realize ATZ detection with high sensitivity, high selectivity and easy on-site feasibility. Herein, assembled with Ti-Fe-O nanotubes (NTs)/Ni(OH)2 photoanode and molecularly imprinted polymer (MIP) functionalized cathode, a novel molecularly imprinted self-powered sensor (SPS) based on visible-light-driven photo fuel cell (PFC) is developed for ATZ. The MIP cathode serves as the recognition element with advantages of low production cost, high mechanical strength and good stability, while the enzyme-free photoanode has excellent visible light activity and particularly catalytic effects on glucose, leading to spontaneously electron generation and driving the whole cell. By using [Fe(CN)6]3− as the electron transfer switch probe, the SPS can sense ATZ rapidly by the change of output power once ATZ is captured by the cathode. Based on the strategy of using typical photoanode with outstanding oxidative catalytic ability for fuel and placing the recognition element on the cathode separately, the proposed SPS demonstrates excellent power generation performance with a maximum open circuit potential (EOCV) of 0.79 V and a maximum output power density (Pmax) of 13.5 μW·cm−2. It shows a wide linear range of 0.002–21.6 ng·mL−1, a low detection limit of 0.61 pg·mL−1, and a prominent selectivity towards ATZ even in the presence of 100-fold interferents. A proof-of-concept for the integration of molecularly imprinted techniques with PFC and the innovative inspiration for wide used of SPS in complicated environmental system has therefore been provided.

Micro spot ZnO nanotubes using laser assisted chemical bath deposition: A low-cost approach to UV photodetector fabrication

Due to its outstanding characteristics across a wide variety of applications, such as electrical, photonic, electrochemical, and electromechanical devices, one-dimensional Zinc oxide (ZnO) is one of the most promising nanostructures. Using a continuous wave semiconductor laser with a wavelength of 460 nm and a power of 1 W, functional ZnO nanostructures known as nanotubes (NTs) with high-quality structural, optical, and electrical properties on a glass substrate coated with iron (Fe) to construct a UV photoconductive detector with high responsivity were produced for first time by using a simple and quick laser assisted chemical bath deposition (LACBD). X-ray diffractometry (XRD), field emission scanning electron microscopy (FE-SEM), and energy dispersive X-ray (EDX)analyses were used to investigate the evolution of the material's physical and structural characteristics. Our findings revealed that laser-assisted in-situ irradiation of the chemical solution resulted in faster growth of ZnO thin films. To account for the potential of these nanostructures, the effectiveness of ZnO nanotubes (NTs) in ultraviolet (UV) detection has also been investigated. The NT-based photodetector has outstanding stability and responsiveness in both dark and light conditions. Exciton confinement is identified using time-resolved spectroscopy, suggesting that the high surface-to-volume ratio, optical confinement, and high structural quality of the NTs are responsible.

A novel flexible and fluoride-free superhydrophobic thermal energy storage coating for photothermal energy conversion

The development of advanced multifunctional phase change materials (PCMs) for solar energy harvesting and storage is an important alternative to conventional energy sources. Herein, a novel flexible superhydrophobic thermal energy storage (FSTES) coating without fluoride is prepared by spraying mesoporous C@SiO 2 nanotubes (NTs) supporting materials, PCMs (industrial paraffin wax , IPW), and adhesives (polydimethylsiloxane, PDMS) on the cloth. The coating has a high enthalpy (107.29 J/g) because the mesoporous C@SiO 2 NTs have a large loading capacity on IPW (78.6 wt%). Moreover, the coating has good photothermal conversion efficiency (87.6%) due to C@SiO 2 NTs with good light absorption. By the combined effect of C@SiO 2 NTs with hierarchical roughness and PDMS with low surface energy, the coating achieved excellent fluorine-free superhydrophobicity with good corrosion resistance , UV irradiation resistance, and self-cleaning properties, which ensures the sustainably photothermal conversion efficiency and extends the life of the coating. In addition, the coating has excellent flexibility and offers the possibility of wearability. This research provides ideas for the preparation of flexible superhydrophobic coating , which are close to practical application. The fluoride-free superhydrophobic thermal energy storage coating on cloth exhibits excellent flexibility, superhydrophobicity, and photothermal conversion efficiency, offering the possibility of wearability. • Fluoride-free superhydrophobic thermal energy storage coating was designed. • The coating with good flexibility can withstand various deformations. • The coating with good superhydrophobic properties can withstand extreme conditions. • The coating exhibited high photothermal conversion efficiency. • The coating offered the possibility of wearability and thermal therapy.

Synthesis, Characterization, Properties, and Novel Applications of Fluorescent Nanodiamonds.

In the last few years, fluorescent nanodiamonds (FNDs) have been developed significantly as a new member in the nanocarbon family. The surface of FNDs is embedded with some crystallographic defects containing color centres which surmount the properties of other fluorochromes including up conversion and down conversion nanoparticles, quantum dots, nano tubes, fullerenes, organic dyes, silica etc. Some of the intriguing properties like inevitable photostability, inherent bio-compatibility, outstanding optical and robust mechanical properties, excellent magnetic field, and electric field sensing potentiality make FNDs appealing to some benevolent applications in numerous fields like bio-imaging, delivering drugs, fighting cancer, spin electronics, imaging of magnetic structure at nanoscale and as promising nanometric temperature sensor. The structure of FNDs has certain point defects on the surface among which negatively charged nitrogen vacancy centre (NV-) is the most investigated color centre. The production of NV- fluorescence nanodiamonds is the most challenging task as substitution of carbon atoms is required to create vacancies by causing irradiation from an electron beam which is followed by high temperature annealing. Thus, this review points out the relative advantages of FNDs containing negatively charged nitrogen vacancy centres produced from HPHT method or CVD method with those nanodiamonds produced through detonation process or pulsed laser ablation (PLA) method. The steps involved in the fabrication of FNDs are described along with the major challenges and struggles underwent during the process in this review. This review also summarizes the recent developments made in the functionalization and applications predominantly made in the field of biological science and it is understood that depending on the defect color centres they can exhibit different emitted wavelengths ranging from UV-visible to near infrared with broad or narrow bandwidths. This review also highlights some of the fluorescent NDs that emit stable and strong red or green photoluminescence from the defect centers of NV- which are implanted in the crystal lattice. This critical and extensive review will be useful for the further progress in this futuristic field of FNDs.

Optimization of grinding titanium with 2%CNT-CBN wheel using TOPSIS

ABSTRACT Surface grinding, for most products, is the last step in its manufacture and has to be done carefully considering the surface finish it produces. This research work has focused on creating a new grinding wheel to grind difficult-to-machine metals, especially Titanium alloy (Ti-6Al-4 V). Including 2% Carbon Nano Tubes (CNTs) directly with CBN abrasives has shown a remarkable surface finish improvement. A full factorial design for experimentation was used, and surface roughness measurements and Material Removal Rates (MRR) were considered as yardsticks for the efficiency of this process. Further analyses have been carried out to determine their optimum parameters. Both theoretical and experimental routes have been pursued. The ‘Technique for Order Preference by Similarity to Ideal Solution’ (TOPSIS) route has been chosen to arrive at the right choice of operating parameters. This technique has been used in conjugation with the Analytic Hierarchy Process (AHP) to arrive at the right combination of grinding parameters, considering that the grinding process qualifies for using a multi-criteria decision-making method. Confirmatory tests have been conducted, and very little difference was found.

Chemiresistive gas sensor based on electrospun hollow SnO2 nanotubes for detecting NO at the ppb level

Detecting some appropriate target gases through the optimization of material structure is still applicable to some old sensing materials. In this work, we showed that hollow tin oxide (SnO2) nanotubes (NTs) exhibited a remarkable sensing performance for nitric oxide (NO) at 160 °C. The sensing materials were prepared by direct annealing of electrospun precursor nanofibers, and hollow NTs can be obtained at an appropriate heating rate of 6 °C/min. Given the large surface area of hollow SnO2 NTs, their sensing performance is better than that of solid SnO2 NTs. The response of hollow SnO2 NTs is approximately 33.3 upon exposure to 500 ppb of NO at 160 °C. The hollow SnO2 NTs also exhibit good repeatability, long-term stability, and excellent selectivity. These remarkable sensing properties indicate that conventional SnO2 still has great practical applications because of the fine design of the material structure and proper control of working conditions.

Development of a shape-stabilized phase change material utilizing natural and industrial byproducts for thermal energy storage in buildings

A comprehensive study was conducted to develop and utilize a novel shape-stabilized phase change material utilizing two abundantly available and low-cost natural materials, namely scoria and expanded perlite and an industrial byproduct, heavy oil ash, in combination with polyethylene glycol. The thermal and energy storage characteristics of the composite materials were evaluated with the aim of using them to conserve energy in the domestic facilities. The results of differential scanning calorimetry showed that expanded perlite composite has the highest melting and solidification latent heat values, 150.7 J/g and 134.6 J/g, respectively, compared to scoria and oil ash composite. However, expanded perlite composite has lower thermal conductivity compared to other composites. Consequently, a novel system incorporating carbon nano tubes (0.5 wt.% and 1 wt.%) in the expanded perlite composite was developed to improve its thermal conductivity. The thermal conductivity (0.453 W/m.K) of the new system with 0.5% carbon nano tubes is remarkably more than that of commonly used phase change materials. Further, the developed PCM with 0.5% carbon nano tubes can transform sunlight into thermal energy with a solar-to-thermal energy conversion efficiency of 59.4% and it has a thermal conductivity that is 97% more than that of polyethylene glycol alone. Besides, the newly developed PCM also shows excellent energy storage and release performance. All these favorable characteristics indicate that the developed phase change material can be beneficially utilized in thermal storage systems.

Facile Synthesis of Fe‐Doped CoO Nanotubes as High‐Efficient Electrocatalysts for Oxygen Evolution Reaction

Developing high‐performance, low‐cost, and robust electrocatalysts is of great importance to boost the efficiency of oxygen evolution reaction (OER). Herein, based on the integrated design of chemical composition and geometric structure, Fe‐doped CoO nanotubes (NTs) with high OER activity are prepared by a facile template‐free approach. The construction of this tubular structure is realized via a simple wet‐chemical reaction to prepare solid nanorods as precursor and a subsequent calcination treatment of the precursor to form hollow cavity. The favorable composition and unique hollow structure endow these Fe‐doped CoO NTs with remarkable activity toward OER. When used as the electrocatalyst for OER, the Fe‐doped CoO NTs show a small overpotential of 282 mV at the current density of 10 mA cm−2, a low Tafel slope of 78.26 mV dec−1, and a high turnover frequency of 0.0965 s−1 at the overpotential of 282 mV, which is superior to those of CoO NTs and solid CoO nanoparticles. Moreover, the Fe‐doped CoO NTs also exhibit excellent long‐term stability of 24 h at the current density of 10 mA cm−2.

Using artificial neural networks for predicting mechanical and radiation shielding properties of different nano-concretes exposed to elevated temperature

This study aims to investigate and predict the effects of adding different Nano additives (Nano alumina, Carbon Nanotubes, and hybrid mix of both materials) within normal strength concrete on both mechanical and gamma ray radiation shielding properties of concrete after exposure to elevated temperatures. Both residual compressive strength (RCS) and gamma ray’s linear attenuation coefficient (µ) tests were used as an indicator of the change in properties after exposure to elevated temperature. While the results showed remarkable positive effects for all Nano additives at all replacement ratios, the hybrid mix of 1.5% Nano alumina (NA) along with 0.1 Carbon Nano tubes (CNT) showed the optimum enhancement for both the mechanical and radiation shielding properties. A smart modelling Artificial Neural Networks (ANN) was also developed for predicting the values of RCS and µ for the different concrete mixtures. The type and the proportion of Nano additives, the temperature, and the elevated temperature exposure time were input variables for the neural networks. The predicted values of RCS and µ are the outputs. The prediction results obtained from the developed ANN showed a high agreement with the experimental results and the predictive capability of developed models was better compared to regression analysis.

Numerical Simulations of Environmental Energy Features in Solar Pump Application by Using Hybrid Nanofluid Flow: Prandtl-Eyring Case

As the primary energy source derived from the sun, solar energy is widely utilized in various technologies, including photovoltaic cells as well as the solar types of energy plates, street lights, and water pumping. This era is about studying solar radiations and a way to active enhancements in solar power pump (SWP) efficacy with the use of solar radiations and nanotechnology. Communication is structured to examine the capability of SWP in terms of transfer of heat using a hybrid nanofluid passing through a parabolic trough surface collector (PTSC) placed inside the pipeline of SWP. Solar radiation has been considered a heat source. The performance in terms of heat transfer of the SWP is scrutinized for various effects like porous media, viscous dissipation, radiative heat flux, and Cattaneo–Christov heat flux (C–CHF). Entropy generation analysis is also conducted for Prandtl – Eyring fluid (P-EF). The simulated momentum and energy equations were solved using the Keller box technique, which is a well-known numerical approach. For this work, Prandtl – Eyring hybrid nanofluid (P-EHNF) has been considered, consisting of double diverse kinds of nanotubes (NT), including single-walled carbon nanotubes (SWCNT) and multi-walled carbon nanotubes (MWCNT) in the rich, viscous fluid of kind Sodium Alginate (SA). The impact of various parameters on velocity, temperature fields, shear stress, coefficient of drag force, and Nusselt number are investigated and demonstrated in graphs and tables. The SWP experience an enhancement in the transfer of heat for amplification of the parameters of thermal radiative flow as well as viscous dissipation. In comparison with conventional nanofluid, hybrid nanofluid performs better in heat transmission. The thermal efficacy of MWCNT/SWCNT-SA over SWCNT-SA got down to a minimal level of 39.9% and peaked at 42.2%.