Graphene Nanoparticles Research Articles

Improvements in Mechanical and Shape-Memory Properties of Bio-Based Composite: Effects of Adding Carbon Fiber and Graphene Nanoparticles.

Shape-memory carbon fiber (CF) polymer composites reinforced with graphene nanoplatelets (GnPs) as a filler based on a bio-based V-fa/ECO copolymer were prepared at different graphene GnPs and CF mass fractions using the hand lay-up and hot-pressing methods. The obtained composite specimens were subjected to flexural, dynamic mechanical, and shape-memory analyses. The obtained results revealed that the flexural strength and modulus were improved by the addition of the GnPs and CF due to the improvement in the interfacial adhesion and fiber reinforcement with up to 3 wt.% GnPs and 60 wt.% CF. Additionally, appreciable improvements in the shape-memory performance were achieved with the addition of the GnPs, where values of up to 93% and 96% were recorded for the shape fixity and recovery, respectively. The shape-memory performance was affected by the fiber mass fraction, with the composites retaining the shape-memory effect albeit with a significant drop in performance at higher fiber mass fractions. Lastly, the specimens at 40 wt.% CF and 3 wt.% GnPs were determined to be the optimum compositions for the best performance of the bio-based SMP composite.

Anti-wear and vibration-noise control of nitrogen-doped graphene/C60 nano additives

Traditional lubricants can no longer meet the demand for vibration and noise reduction performance in industrial production. In order to reduce the vibration and noise caused by friction under heavy load conditions, nitrogen-doped graphene prepared by a bottom-up method is used as an additive. By incorporating nitrogen-doped graphene and C60 nanoparticles into PAO6 lubricant, a highly efficient nano-lubricant with both vibration and noise reduction properties is synthesized. The performance of the nano-lubricant is determined by rotational wear tests, and the obtained wear traces on steel balls and plates are evaluated by 3D depth-of-field microscopy, scanning electron microscopy, and Raman spectroscopy, and the vibration and noise signals are analyzed using vibration analyzers and digital sound level meters. The coefficient of friction and wear volume of N-doped graphene:C60 (0.4:0.5) can be reduced by 60% and 57%, respectively. Especially, the Z-axis vibration acceleration and noise sound pressure are reduced by 81% and 19%, respectively. The results indicate that the hybrid nanoparticles can directly reduce friction and wear through filling and adsorption. In addition, the slight deformation of the coupled nitrogen-doped graphene/C60 structure can absorb the load and reduce the stress concentration, thus indirectly attenuating the friction-induced vibration and noise.

Thermal performance evaluation of solar collector with rice husk Graphene-PCM: Bioengineering approach

The thermal properties of paraffin wax were upgraded by utilizing rice husk-derived graphene nanoparticles. In terms of performance, the stability of NPEPCM is an essential aspect. The stability of REPCM is checked using surfactants (CTAB, SDBS, SDS) and sonication time. An increment in the thermal conductivity of paraffin wax was perceived. Maximum conductivity of 0.59 Wm−1K−1 was achieved at 304 K for 1.5 wt% of RGP’s. The maximum thermal conductivity of 0.69 Wm−1K−1 was achieved using pure Graphene at 304 K. Using RGPEPW at different concentrations of RGP’s, the thermal efficiency was calculated for different flow rates of fluid and solar irradiance, and the consequence of the abridged temperature coefficient on the efficiency of FPSC observed. Maximum efficiencies of 67.5 % and 63.9 % were noted for 1 wt% of graphene nanoparticles and 1.5 wt% of RGPs at a 3 Lt/min flow rate, respectively. The improvement of 29.8 % and 22.8 % in the efficiency of FPSC is observed for 1 wt per cent of Graphene and 1.5 wt per cent of RGPs, respectively. Using RGPEPW with a 9.2 % increment in the outlet, the temperature was noticed in the afternoon at a 1.2 Lt/min flow rate. The bioengineering approach gives an understanding of engineering, biology, and environmental science involvement in the present study.

Hydromagnetic Flow of Casson Fluid Carrying CNT and Graphene Nanoparticles in Armory Production

Carbon nanotubes (CNTs) and graphenes possess the properties that make them the future of armory in the military. Bullet-proof vests, for instance, are indispensable components of any military arsenal whose maintenance cost and weight can be drastically reduced if the materials are changed to CNT and graphenes. The purpose of this study is to investigate heat and mass transport phenomena in the hydromagnetic flow of Casson fluid suspending carbon nanotubes and graphene nanoparticles in armory production. An appropriate model is developed, taking into account the Buongiorno model and the effect of heat radiation. Using similarity variables, the model is reformulated into a dimensionless form. The numerical solution to the dimensionless model is obtained using the three-stage Lobatto IIIa finite difference approach, which is programmed into the MATLAB bvp4c package. The study reveals that an increase in the Casson fluid parameter leads to a decrease in the velocity profiles. There is a 78.41% reduction in skin friction when results are compared with the CNT-water nanofluid.

Effect of γ irradiation and Vitamin-E on the thermal and mechanical properties of graphene/nanodiamond reinforced hybrid UHMWPE nanocomposites

This work focus on solving the problems of fabricating inadequate prosthetic joint from mechanical perspective in total joint replacement. Ultra high molecular weight polyethylene (UHMWPE) composites with different weight fractions of Graphene (Gr) and Nanodiamond (ND) nanoparticles (0.2–0.5 wt %) were prepared by high pressure compression molding. The effect of vitamin E (vit E) and gamma irradiation at 50 kGy and 100 kGy doses on the structural and thermal properties of UHMWPE composites were investigated through swell ratio test, fourier transformation infrared spectroscopy (FTIR), differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA). The mechanical properties including tensile, flexural, impact test, nanoindentation and micro scratch were studied and the fractured surfaces were analyzed under scanning electron microscope (SEM). Influence of gamma irradiation on UHMWPE composites shows better crosslinks and crystallinity in the polymer matrix. The nano-composites shows significant improvements in various mechanical properties compared to the 0.5 wt % vitamin-E + UHMWPE composite, with a 23 % increase in Young's modulus, a 21 % increase in flexural strength, a 24 % increase in hardness, and a 17 % increase in impact strength. The results shows that 100 kGy gamma irradiated composites exhibited better results. Composite with 0.5 wt % vit E + 0.3 wt % Gr + 0.5 wt % ND shown significant improvement in structural, thermal and mechanical properties.

Electrochemical measurement of naproxen in the presence of diclofenac and ascorbic acid using Gr/ZnFe2O4/CPE

In this project, a carbon paste electrode (CPE) modified with graphene and ZnFe2O4 spinel nanoparticles, Gr/ZnFe2O4/CPE, was used to measure the drug naproxen. Various electrochemical methods such as cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), differential pulse voltammetry (DPV), chronoamperometry, and chronocoulometry were used to investigate the behavior of naproxen. The electrochemical behavior of naproxen on the modified electrode with graphene and ZnFe2O4 and the unmodified electrode was investigated. Parameters such as the amount of graphene and ZnFe2O4 nanoparticles at the stage of making the electrode, pH of the environment, and instrument parameters were optimized. The relationship between peak current, Ip, and concentration of naproxen in the DPV method is linear in the two ranges of 0.05 to 3.00 μM and 3.00 to 50.00 μM, and the detection limit was 0.222 nM. The selectivity of the method was evaluated by examining the interference effect of different species in the measurement of naproxen. The amount of naproxen in real samples was measured using the modified electrode. Finally, Gr/ZnFe2O4/CPE was used to measure naproxen in the presence of diclofenac and ascorbic acid.

Grafen nanoplatelet takviyeli epoksi kompozitlerin mekanik özellikleri ve aşınma davranışı üzerinde takviye oranının etkisi

New features are gained to the enhanced characteristic of composites with the addition of nanoscale particles. Graphene has an important place among nanoparticle reinforcing elements due to its two-dimensional structure and high strength. In this study, tribological behaviour and mechanical properties of the nano particle reinforced composite material investigated. The amount of nano particle reinforcement on the mechanical and wear behavior was investigated. Nanoparticles were incorporated into the non-reinforced sample at varying weight ratios, ranging from 0.1% to 0.5%. The findings indicated that the inclusion of graphene nanoparticles into the epoxy matrix material enhances the mechanical properties of the specimens across all reinforcement ratios.The failure load of the neat epoxy samples was determined as 415.94 N and the modulus of elasticity as 2.4 GPa. The best mechanical results in graphene reinforced composites were obtained in 0.2% reinforced composites, and the failure load and elasticity modulus values were found as 903.13 N and 4.46 GPa, respectively. Furthermore, the tribological performance of the specimens was examined under dry sliding conditions. The worn surfaces were examined using SEM. The incorporation of graphene reinforcement has been observed to positively impact the wear resistance of the epoxy matrix material.

A novel computational multi-scale modeling of randomly-distributed-graphene/epoxy nanocomposites with interfacial interactions

This article introduces a novel multi-scale modeling methodology that incorporates randomly distributed graphene/epoxy nanocomposites, accounting for interfacial interactions. The objective is to forecast the elastic characteristics and mechanical performance of nanocomposites reinforced with single-layer graphene. We developed a new multi-scale scheme by randomly distributing the triple-structure formed by graphene, interface material and their Van Der Walls interactions in epoxy with an improved algorithm by using the finite element method. The number of single-layer graphene affecting the random distribution method and the volume fraction of nanocomposites were investigated. A developed methodology was proposed for producing graphene-VanDerWalls interactions-interface structures, avoiding overlapping desired geometric dimensions and numbers in a representative control volume and determining random positions. In order to model Van Der Walls interactions between graphene and interface material atoms by finite element method and to apply them to randomly distributed graphene, a different algorithm was required. Performing numerical analyzes of graphene nanoparticles by embedding them into epoxy with the real dimensions is not an appropriate task today. In particular, it is impossible to analyze these real graphene nanoparticles as multiple by randomly distributing them in epoxy. Therefore, in this research, a new approach has been developed to overcome this problem. The result of the model is in acceptable agreement with the result of conducted experimental results from the literature.

Experimental investigation of usage of POE lubricants with Al2O3, graphene or CNT nanoparticles in a refrigeration compressor.

In this study, the use of nanolubricants containing Al2O3, graphene, and carbon nanotubes (CNTs) at different mass fractions in a refrigeration compressor was experimentally investigated. The required electrical power of the compressor was measured to determine the effect of the use of nanolubricants. Nanoparticles used in the preparation of nanolubricants were gradually added to the lubricant to determine the optimum nanoparticle mass fraction for each nanoparticle type. Thus, it was found that the compressor operated safely and efficiently with nanolubricants. Furthermore, the optimum mass fractions were determined to be 0.750% for Al2O3, 0.250% for graphene, and 0.250% for CNTs for operating conditions of this study. As a result, the required electrical power of the compressor decreased by 6.26, 6.82, and 5.55% with the addition of Al2O3, graphene, and CNT nanoparticles at optimum mass fractions of 0.750, 0.250, and 0.250% to the lubricant, respectively, compared to the compressor using pure oil. Moreover, density and dynamic viscosity of the nanolubricant samples used in the experiments were also measured, and their kinematic viscosity, which is an important parameter for lubricants, was calculated. It was determined that the kinematic viscosity continuously increased with increasing nanoparticle fraction. In conclusion, nanolubricants containing nanoparticles above the optimum mass fraction increase the required electrical power of the compressor. It is concluded that nanoparticle fractions should not be used above the optimum value in nanolubricant applications.

Development of nanocomposite with LDPE and Graphene nanoparticles by means of melt extrusion method

Graphene nanoparticles have found an important role in the field of nano composites as a potential filler material through enhancement of the matrix property. In the present study graphene nanoparticles in varying amounts are mixed with low density polyethylene, the most extensively used polyolefin using melt extrusion method. This manufacturing process imposes strong anisotropy on the sample’s morphology where the filler particles are oriented along the extrusion direction. The nano composite prepared was found to exhibit excellent thermal withstanding behaviour. The Differential Scanning Calorimetry (DSC) study results had shown that as the amount of filler is varied, the thermal properties material is found to be enhanced compared with the virgin polymer. The absorption properties of the composite were verified using UV visible photometer. As the amount of graphene nanoparticles is increased the intensity of absorption of the composite is also found to be increased. Developed material with enhanced thermal stability can find applications in electric and electronic devices specifically in biomedical field where soft and flexible material are required.

Performance of water-based printed hybrid graphene/silver nanoparticle conductive inks for flexible strain sensor applications

Flexible electronic devices such as wearable strain sensors have drawn much interest in health monitoring systems. In the present study, hybrid ink-printed flexible strain sensors made of graphene and silver nanoparticles (AgNPs) were formulated. The main aim of the study is to investigate the effect of hybrid graphene and AgNP ratios on the properties of conductive inks and their performance as flexible strain sensors. The new conductive inks were printed on various types of flexible substrates: polyethylene terephthalate (PET), polyimide (PI), and polyvinyl alcohol (PVA). The performance of conductive ink on these substrates was evaluated. The results showed that the ratio of graphene/AgNPs influenced the properties of conductive inks. Graphene/AgNPs with a 0.3/0.2 wt% exhibit higher stability, wettability, and electrical conductivity than 0.4/0.1, 0.2/0.3, and 0.1/0.4 wt%. Hybrid graphene/AgNPs conductive ink printed on PI substrate showed better wettability and electrical performance compared to those on PET and PVA substrates. The gauge factors (GF) of the PI substrate are higher, 6.2% and 32%, compared to PET and PVA, respectively, at the 30% strain range. In short, the hybrid graphene/AgNPs strain sensor on PI that showed good linearity, sensitivity, and stability has a high potential to be used in low-strain health monitoring systems.

ASSESSMENT OF ACUTE NEUROTOXICITY OF NITROGEN-DOPED MULTILAYER GRAPHENE NANOPARTICLES AND THEIR CAPABILITY TO CHANGE Cd2+/Pb2+/Hg2+-INDUCED INJURY IN BRAIN CORTEX NERVE TERMINALS

Graphene materials are widely used in different technologies and certainly released into aquatic and air surroundings being environmental pollution components. Nitrogen‑doped graphene nanomaterials have great potential for application, in particular, in energy storage, as electrochemical sensors and waste water treatment. Aim. Evaluate neurotoxic risk of nitrogen-doped multilayer graphene. Methods. Here, nitrogen-doped multilayer graphene nanoparticles (N-MLG) were synthesized by means of electrochemical exfoliation of high-purity graphite rods in NaN3-based electrolyte and characterised using TEM, AFM and UV-vis spectroscopy. Neuroactive features of N-MLG were assessed in isolated cortex nerve terminals (synaptosomes) analysing the extracellular level of excitatory neurotransmitter L-[14C] glutamate and inhibitory one [3H]GABA. Results. It was revealed that N-MLG did not affect the extracellular synaptosomal levels of L-[14C] glutamate and [3H]GABA within the concentration range 0.01–0.5 mg/ml, and an increase in a concentration up to 1 mg/ml caused an insignificant increase (tendency to increase) in these levels for both neurotransmitters. To analyse a capability of interaction with heavy metals in biological system, N-MLG was investigated using model of acute Cd2+/Pb2+/Hg2+-induced neurotoxicity in nerve terminals. In was revealed that Cd2+/Pb2+/Hg2+-induced increase in the extracellular level of L-[14C] glutamate and [3H]GABA was not changed by N-MLG. Conclusions. N-MLG does not possess neurotoxic signs and is biocompatible within the concentration range 0.01–1 mg/ml. In biological system, N-MLG did not mitigate/aggravate Cd2+/Pb2+/Hg2+-induced neurotoxicity in nerve terminals.

Surface-tension change of graphene-based water nanofluid and its effects on heat-transfer process

Nanofluids with high thermal conductivities are gaining attention for heat-exchange applications, particularly in boiling processes. Nanofluid heat-transfer efficiency is significantly influenced by the surface tension (ST) and wettability patterns of the nanofluid. This study investigated graphene-based water nanofluids prepared from three different viscoelastic polymer solutions. The effects of the dispersant, graphene concentration, and temperature on the ST were investigated, and the wetting behavior of nanofluids on stainless steel and polypropylene random surfaces was determined. The results indicated that the ST of the nanofluids exhibited a negative correlation with the dispersant concentration and temperature. Additionally, the inclusion of graphene reduced the ST in xanthan-gum systems but increased it in sodium carboxymethyl cellulose and polyethylene-oxide systems. Overall, the nanofluids exhibited a lower ST than water. The decrease in the nanofluid ST is ascribed to the development of a rigid network resulting from the co-adsorption of graphene nanoparticles and the dispersant at the gas–liquid interface. Furthermore, graphene has been demonstrated to enhance the wettability of the base fluids of various materials. A decrease in ST led to increased frictional resistance; however, this was counteracted by an increase in the contact angle, resulting in an overall reduction in frictional resistance. Moreover, reducing the ST can improve the fluid boiling heat transfer. Therefore, these nanofluids exhibited the dual effect of reduced flow resistance and enhanced heat-transfer efficiency. This study offers valuable insights into the behavior of nanofluids and their potential applications in areas such as energy storage and spacecraft thermal management.

The Effect of Sonication Time on Thermal Conductivity and Stability of Graphene (Gr) and Aluminium Nitride (AlN)

Nanolubricants are a critical topic currently due to their outstanding thermal conductivity and system performance. A highly stable nanolubricant dispersion is extremely useful for good lubrication performance. However, maintaining their dispersion stability over time is still a major challenge in this field. As a result, the goal of this paper is to evaluate the influence of sonication duration on the stability and thermal conductivity of nanolubricants. In this work, 0.1 vol% concentrations of graphene (Gr) and aluminium nitride (AlN) nanoparticles and polyolester oil (POE) as the base fluid are used. The duration of mechanical stirrer is constant however the ultrasonication time is varied. The stability of nanolubricants are observed by using visual observation technique for 21 days and measured by thermal conductivity and Zeta potential. The results show that the 45 min of sonication time for AlN and 15 min of sonication time for Gr are the optimum time for the ultrasonication.

CoCr2O4/Graphene modified glass carbon electrode for highly dual-sensing detection of hydrogen peroxide and glucose

The development of a non-enzymatic electrochemical sensor possessing well dual-sensing to H2O2 and glucose remains challenging due to less report. Herein, spinel CoCr2O4 nanoparticles with small size were synthesized by sol–gel reaction, which were then simply mixed with commercial graphene under ultrasonic to obtain uniformly dispersed CoCr2O4/Graphene composite. They were deposited onto the surface of bare glassy carbon electrode (GCE) through a common drop-coating method. The CoCr2O4/Graphene/GCE sensor firstly achieves highly dual-sensing to H2O2 and glucose in 0.1 M NaOH solution. At 0.4 and 0.55 V, its sensitivities to H2O2 and glucose can separately reach up to 1168.6 and 1722.5 μA mM−1 cm−2, and the corresponding detection limits are as low as 18 nM and 12 nM. These key indexes are the best among reported dual-functional spinel oxide-based electrodes. This excellent electrochemical sensing ability stems from its large electrode active area, good conductivity, and the synergism between graphene and CoCr2O4 nanoparticles with mixed redox couplings, which provides an efficient platform for dual-sensing detection. In addition, the modified electrode can accurately determine glucose in human tears, rat serum and orange juice, as well as H2O2 in milk whey, mouthwash and disinfectant, thus predicting its good application prospects.

Effect of CeO2@GNPs on the Corrosion Properties of 2024 Alloy

The nanocomposites of 2024 Al reinforced with CeO2@GNPs (graphene) nanoparticles were fabricated using the hot-press sintering method. With the addition of 0.5 wt% CeO2@GNPs, the YS and UTS of the fabricated nanocomposites increased by 21.1% and 24.7%, respectively. The load transfer effect and optimization of the interfacial bonding were the main factors to improve the mechanical properties of the composites. The effect of the surface modification of GNPs on the corrosion resistance of the composites was investigated, demonstrating that the addition of GNPs weakened the corrosion resistance of the fabricated nanocomposites. Meanwhile, the corrosion current density (2.776 × 10−3 A·cm−2) and polarization resistance (13,971.37 Ω cm2) of the prepared composites with CeO2 nanoparticle-layered GNPs exhibited a significant decreasing trend compared with the composites without a CeO2 nanoparticle layer (3.540 × 10−3 A·cm−2, 10,199.72 Ω cm2). Optimizing the dispersion of GNPs and their interfacial bonding with the aluminum matrix promoted the reduction in the corrosion area and the possibility of micro-couple formation, leading to an effective enhancement of the corrosion resistance of the nanocomposites.

The synergistic effects of graphene on the physical, hydrophobic, surface, and thermal properties of acrylic-epoxy-polydimethylsiloxane composite coatings

Acrylic-epoxy based polydimethylsiloxane (PDMS) nanocomposite coatings loaded with different concentrations (0.5–3 wt%) of graphene nanoparticles were successfully prepared via solution intercalation approach. The main objective of this research was to investigate the hydrophobicity and thermal properties of the graphene-based coatings for various applications. Furthermore, the thermal analysis of the coatings was conducted via thermogravimetric analysis (TGA). In addition, the ultraviolet–visible (UV–Vis) spectroscopy and water contact angle (WCA) instrument were employed to evaluate the degree of transparency and surface wettability of the coatings. The surface adhesion analysis of the coatings was conducted using cross-hatch test (CHT) and the dispersion of the graphene nanoparticles was examined via field emission scanning electron microscope (FESEM) respectively. In terms of surface wettability, the graphene coating sample (1 % G) exhibited the highest WCA value of 99.75°, thus revealing its hydrophobic attribute. Moreover, the results obtained from TGA analysis revealed that the incorporation of graphene nanoparticles into the polymer matrix showed a reduction in degradation temperature, in other words, the increment of graphene content resulted the cross-linking density of the coating to decrease. Furthermore, at lower loading rates (e.g., 1 wt%), the FESEM results confirmed the excellent and even distribution of the graphene nanoparticles within the polymer matrix particularly at lower loading rates. At higher loading rates of graphene nanoparticles, the overall performance of the coatings was observed to decrease due to the presence of large agglomeration, which resulted the WCA to slightly decrease. In summary, due to its unique structure and properties, the incorporation of graphene as nanofiller into the polymer matrix could effectively enhance the compactness and protective performance of the acrylic-epoxy surface tolerant coating.

Prediction of viscosity of kerosene-based nanographene fluids by molecular dynamics simulation analysis

Molecular dynamics simulation was used to study the viscosity of rocket kerosene with nanofluid. The substitution model of a four-component rocket kerosene-based fluid was constructed and verified by experiments. Nano-graphene GNPs were introduced to investigate the effects of volume fraction and particle parameters on the viscosity of rocket kerosene. The viscosity of the composite system increased from 5.12 % to 15.68 % when the volume fraction of graphene increased from 0.1 % to 0.9 % at 303 K. When the volume fraction of graphene nanoparticles is 0.1 %, the temperature increases from 223 K to 323 K, and the viscosity of the composite system decreases from 27.59 mPa·s to 1.10 mPa·s. The simulation results show that the viscosity of rocket kerosene with nanographene particles is significantly higher than that of rocket kerosene-based fluid. Increasing the volume fraction of nano-graphene sheets and decreasing the particle size makes the graphene molecules collide and diffuse more frequently in the rocket kerosene, which leads to the increase of the viscosity of the composite system. In addition, shape factors such as the specific surface area and aspect ratio of the nanoparticles affect the viscosity of the kerosene-based nanofluids.

Graphene and gold nanoparticles integrated terahertz metasurface for improved sensor sensitivity

Terahertz metamaterial technology, as an efficient nondestructive testing method, has shown great development potential in the detection of biological samples. In this study, we have proposed a graphene-integrated gold nanoparticles (AuNPs) terahertz (THz) biosensor and have analyzed the sensing performance of four IC-type resonators (ICSRs) for biosensors: bare ICSRs, ICSRs-integrated AuNPs, ICSRs-integrated graphene, and ICSRs-integrated graphene and AuNPs. The AuNPs generate charge accumulation and induce local electric field enhancement due to the tip effect, and enhance the interaction between the THz wave and the analyte, thus improving the sensitivity of the sensor. The combination of AuNPs and ICSRs-integrated graphene results in sensors with more pronounced amplitude changes and higher sensitivity. Due to the Fermi energy level of graphene being close to the Dirac point, the sensor is ultra-sensitive to external stimuli with a limit of detection of 10.48 fg/ml for aspartic acid solutions. This biosensor has the potential to detect trace amino acids with high sensitivity, contributing to early disease detection and environmental detection for early diagnosis and ecological balance.

Dynamics of thermal radiation and Lorentz force on the hybrid nanofluid (Ethylene Glycol + Graphene + Copper) flow via an exponentially stretching sheet with chemical reaction: An irreversibility analysis

AbstractAn exciting new class of heat transmission fluids, nanofluids, has been developed as an alternative to traditional fluids in manufacturing. Fuel cells, heat exchangers and pharmaceutical processes are just a few of the many uses for them. When compared to monofluids, the heat transmission properties of hybrid fluids are superior. These are findings used in an extensive diversity of fields, from solar energy to air conditioning. The objective of this paper is to examine how Lorentz force and chemical reaction parameters affect the characteristics of a couple stress hybrid nanofluid (Ethylene Glycol + Graphene + Copper) flow via an exponentially stretching surface. The heat transport phenomenon is studied using viscous dissipation, exponential heat source and thermal radiation parameters. Furthermore, irreversibility analysis is provided in this paper. Governing equations are transformed into a set of nonlinear ordinary differential equations using suitable similarity transformations. The bvp4c solver in MATLAB is used to solve the transformed system. Engineering parameters of interest, including skin friction coefficient, are described using bar diagrams. It has been noted that the magnetic field and volume fraction of graphene nanoparticles (ϕ1) reduce the skin friction coefficient. At , the skin friction coefficient decreases at a rate of 4.68187. It is observed that there is an increment in the fluid temperature with the rise in the exponential heat source parameter, and the velocity profile increases with the increase in the mixed convection parameter. It is detected that, while Eckert number () was set to , Nusselt number was reduced by 6.29239. It is noticed that, while the chemical reaction () is set to , the mass transfer rate rises at a Rate of 0.349644. It has been observed that as the Brinkmann number and magnetic field parameters increase, so does the rate of entropy production. It is also detected that as the porosity parameter increases, the fluid momentum decreases. Furthermore, increasing the couple stress parameter decreases the fluid velocity.