Concentrations Of Al2O3 Nanoparticles Research Articles

Al2O3 Nanoparticles Infiltered in the Fifth-Generation Adhesive to Carious Dentin. A SEM, EDX, μTBS, and FTIR Assessment

Aluminum trioxide (Al2O3) nanoparticles (NPs) loaded in a fifth-generation adhesive to caries-affected dentin. Molars with occlusal caries were selected. Specimens underwent acid etching and were categorized into 4 groups based on the concentration of Al2O3 NPs in the fifth-generation adhesive. Group 1: 0% Al2O3 NPs, Group 2: 2% Al2O3 NPs, Group 3: 5% Al2O3 NPs and Group 4: 10% Al2O3 NPs. Surface characterization of Al2O3 NPs was assessed via SEM, elemental distribution of particles in Al2O3 was evaluated via EDX, DC was assessed via FTIR, and antimicrobial efficacy was evaluated through the pour plate method. Teeth underwent μTBS testing using the universal testing machine. The Kruskal-Wallis test was used to assess the difference in survival rates of S. mutans. The means of different groups were compared using ANOVA and Tukey’s posthoc test to ascertain significant differences. The highest DC was observed in unmodified adhesive. The lowest DC was displayed in group 4. The highest μTBS scores were observed in group 3 samples. The lowest μTBS was observed in group 1 samples. The most effective group against S. mutans was 4. The ER adhesive loaded with 2 wt% and 5 wt% Al2O3 NPs exhibited superior μTBS and antibacterial effectiveness. The addition of Al2O3 to the adhesive resulted in a reduction in the degree of conversion.

Influence of solar thermal radiations and convective boundary on Al2O3/H2O transient model efficiency

Riga plate is a new, sophisticated magnetic field device that may be created by adjusting a group of permanent magnets and a different electrode over a plane surface. The heat transport and fluid movement in such physical setup are of paramount interest and have numerous engineering and industrial application particularly in submarines technologies. Due to the fixed magnetics the field produced which imperatively affect the model dynamics. Keeping in mind the influential applications of such physical setup, the purpose of this study is to introduce a new model based scrutinization of heat transport of stagnation point flow of Al2O3/water along vertically oriented convectively heated Riga surface. The conventional stagnation point flow model extended for nanofluid via radiative heat flux, dissipation effects and the first order thermal slip. The values of thermal conductivity values estimated via Corcione model and achieved the final nanoliquid model. For the results interpretation, the numerical scheme used and portrayed the results using different parametric ranges. The fluid motion is observed very slow due to stronger mixed convection and higher concentration of Al2O3 nanoparticles. The temperature is determined very high against the stronger convection effects and radiation number. However, the fluid layers in the vicinity of Riga surface have high heat transmission ability. Further, thermal slip and viscous dissipation effects also boost the temperature of Al2O3/water. Further, buoyancy number δ resists the fluid movement and thermal boundary region reduces in the presence of buoyancy factor.

A New Process for Efficient Non-Destructive Metal-Activated Composite Plating of Ni-P-Al2O3 on Titanium Base and Its Performance Research

A new high efficient and non-destructive mental activation process of electroless composite plating was proposed. The process utilized electromagnetic induction equipment to heat the titanium alloy substrate and used its energy to complete the activation process, which could successfully attach the nickel nanoparticles firmly to the surface of the titanium alloy; at the same time, the process pre-activated Al2O3 nanoparticles and added the activated nanoparticles to the plating solution. In the process of plating, the activated titanium substrate was used as the catalytic center of electroless nickel plating (ENP) for electroless composite plating. The new activation process avoided complicated traditional processes such as acid etching and zinc dipping. Such traditional processes require huge doses of chemicals, including various strong acids, so improper waste liquid treatment will cause harm to the environment. The important parameters of the process were optimized by orthogonal experiments. A scanning electron microscope (SEM), an X-ray photoelectron spectroscopy (XPS), an energy dispersive spectrometer (EDS), thermal shock experiments and friction and wear experiments were used to characterize and analyze the surface morphology, composition, binding force and friction coefficient of the coating, and analyze the coating quality by measuring the plating rate and the thickness of the coating. The results showed that the rate of electroless composite plating increased with the increase in Al2O3 nanoparticle concentration. When the concentration of Al2O3 nanoparticles reached 1.5 g/L, the ENP rate decreased with the increase in Al2O3 nanoparticle concentration. The adhesion of the sample was evaluated by the scratch test, which showed that the binding grade of the sample was 0, and the Vickers hardness was 688.5 HV. Results showed that the coating produced by this new process has excellent performance. Therefore, the process is an environmentally friendly and fast activation composite plating process.

Development and Characterization of Novel Green Cutting Fluids with Nano-additives

In this current investigation, novel cutting fluids developed through a unique combination of food grade emulsifiers, plant based additives (EA) and nano particles (NP) as cutting fluid additives in corn oil (CO) based vegetable oil. Five dissimilar corn-based green cutting fluids (CBGC1, CBGC2, CBGC3, CBGC4, CBGC5) were prepared by varying the weight percentages (wt.%) of EAs (5, 10, 15, 20, 25) with CO, and their thermo-physical properties were meticulously analyzed. Among these formulations, CBGC2 demonstrated superior lubrication performance, making it the most promising oil for further investigation. Subsequently, the effect of different NP was investigated by adding alumina (Al2O3), graphene (Gr) and multi walled carbon nanotubes (MWCNT) NPs in the CBGC2 solution in the ratio of 0.4, 0.8 and 1.2 in weight percent (wt.%) and the experimental results reveal substantial enhancements in thermophysical properties. Among various samples, the nanofluid containing 0.8 wt.% concentration of Al2O3 nanoparticles in CBGC2 exhibited the highest viscosity. Additionally, the thermal conductivity of the nanofluid enhanced by 24.82% when 1.2 wt.% of Gr nanoparticles added oil compared to CBGC2. Furthermore, in tribological tests, CBGC2 with 0.4% Al2O3 exhibited the lowest frictional force among the prepared cutting fluids. The contact angle reduced to a maximum extent by 11.14% for cutting fluids containing 1.2% alumina nanoparticles. These findings suggest that these innovative green cutting fluid formulations with nano-additives hold great potential for improving machining processes in various industrial applications towards sustainability.

Effects of current control modes on the morphological and biological properties of graded FeCrNi metal-matrix coatings containing Al2O3 nanoparticles for cardiovascular applications

Implant coatings represent the most effective strategy to address multiple issues, ultimately increasing implant longevity and improving implant compatibility. In this study, we investigated the electrodeposition of a novel graded FeCrNi/Al₂O₃ coating on a 316L substrate for cardiovascular implants using direct current (DC) and pulsed current (PC). The effects of a current density range of 3–11 A dm⁻² and decreasing the duty cycle from 90 % to 50 % and subsequently to 10 % on the concentration of Al₂O₃ nanoparticles in the FeCrNi matrix, as well as on the microstructure and morphological properties, were studied using scanning electron microscopy (SEM). Additionally, structural characterization of the FeCrNi/Al₂O₃ films was performed using X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). To assess the cytocompatibility of the samples, human coronary artery endothelial cells (HCAEC) were used. The results indicate that the PC provides a uniform microstructure and a smoother surface compared to the direct current DC. The study also reveals that the PC results in fewer defects and microcracks in the coating due to reduced formation of chromium hydrides in the layer and a significant reduction in stress during the deposition process. When using PC, an increase in particle incorporation in the coating was achieved, but no effect of changing the duty cycle was found. The highest deposition rate of Al₂O₃ was achieved at a current density of 11 A dm⁻² with an electrolyte containing 10 g L⁻¹ Al₂O₃. The FeCrNi/Al₂O₃ coatings exhibit low cytotoxicity when deposited using a high alumina content and DC, showing cell viability of over 90 %. However, only a few samples demonstrated cell viability higher than 80 % on day three. The proposed composite coating may represent an initial step towards improving implant coatings for cardiovascular stent materials.

Role of Al2O3 reinforcements in polymer-based nanocomposites for enhanced nanomechanical properties: Time-dependent modeling of creep and stress relaxation

Alumina (Al2O3) based nanocomposites mark a paradigm shift in materials science, offering unprecedented opportunities for multifunctional applications. This study meticulously examines the mechanical properties of polymer nanocomposites (PNCs), with a specific focus on the impact of varying sizes and concentrations of Al2O3 nanoparticles. By investigating these parameters, the research enables the tailoring of mechanical properties to meet specific requirements. The study reveals remarkable enhancements in the reduced modulus (Er), reaching up to 350%, 175%, and 100% under load and displacement control modes for 25 nm, 80 nm, and 200 nm average particle sizes, respectively. Beyond mechanical strength, the research delves into the nanocomposites resistance to long-term deformation (creep) and their ability to maintain consistent performance under load (stress relaxation). Additionally, the tribological performance lays the groundwork for the development of high-performance materials. The insights gained from this study represent more than an incremental improvement; they signify a transformative leap forward in addressing the multifaceted challenges of advanced material technology, with the potential to revolutionize various industries.

Enhancement of Water Based Mud Cutting Carrying Capacity Using Aluminium Oxide (Al2o3) Nanoparticle

This research seeks to determine how much Al2O3 nanoparticles can alter the rheological properties and cutting carrying capacity of bentonite-water drilling fluids when different concentration is applied. The aim is to explore these phenomena. The purpose of the research is to produce and describe drilling fluid using nanoparticles and evaluate its cutting-capture capability. The study examined the physiochemical, rheological, and filtration properties, as well as the cutting carry index (CCI) of samples produced from drilling in various concentrations of Al2O3nanoparticles. The control mud was created using bentonite with a concentration of 2.8g (0% Al2O3) without any nanoparticles. Al2O3 was discovered to enhance the plastic viscosity, apparent viscousness, and yield point, but inhibit the gel strength of the drilling fluid. Nevertheless, The Power Law Model was used to describe the Rheological behavior of the prepared mud samples, with a flow behavior index (n) less than 1, which indicated that the formulated muddy samples were all pseudo plastic fluids, ideally suitable for drilling fluid. According to the study, the addition of MgO and Al2O3 nanoparticles can affect the cutting carrying index, resulting in a high-cutting carrying Index that enhances the hole cleaning potential of the drilling mud. The findings of this study indicate a high cutting carrying capacity index, indicating the feasibility of using nanoparticles in drilling operations.

Thermal management of Li-ion batteries in electric vehicles by nanofluid-filled loop heat pipes

An analytical model is developed to determine the thermal performance of a Loop Heat Pipe filled (LHP) with copper oxide–water and alumina–water nanofluids for battery thermal management in electric vehicles. The thermal performances of the LHP are predicted for different heat loads and nanoparticle concentrations. It is demonstrated that for fast charging operation corresponding to a heat load of 150 W, the LHP ensures evaporator temperatures of less than 60 °C for a heat sink temperature of 40 °C. The heat transport capacity of the LHP is enhanced and the evaporator temperature is deceased by augmenting the nanoparticle concentration. The water–CuO nanofluid-filled LHP performs better than the water–Al2O3 nanofluid-filled one. The addition of the nanoparticles increases the LHP total pressure drop and the driving capillary pressure. The capillary limit of the water–CuO nanofluid-filled LHP is hardly affected by CuO nanoparticle concentration until 6% beyond which the capillary limit starts decreasing. For the water–Al2O3 nanofluid-filled LHP, the capillary limit decreases when Al2O3 nanoparticle concentration increases. Beyond 6% Al2O3 nanoparticle concentration, the capillary limit of the Al2O3-filled LHP becomes lower than the water-filled one.

Study the Optical and Morphological Properties of (PMMA/PS/Al2O3) Nanocomposites Before and After Exposed to Argon Plasma

This study aimed to investigate the alterations in the structural and optical properties of Poly-methyl-methacrylate (PMMA) and Polystyrene (PS) through the utilization of different weight percentages of Aluminum oxide (Al2O3) nanoparticles (2%, 4%, 6%, and 8%) by weight. The optical microscope images indicate that the distribution of nanoparticles in the blend was uniform, resulting in a continuous network within the polymer matrix. The field emission scanning electron microscope revealed that there was a connection between the interface that connects the polymer matrix and the additive. The optical properties before and after the exposure to Ar plasma exhibited that the absorbance, absorption coefficient, refractive index, extinction coefficient, dielectric constant (real, imaginary) and optical conductivity of (PMMA/PS/Al2O3) nanocomposites increased with the increasing of the concentrations of the Al2O3. The transmittance and the energy gap for indirect transition (allowed, forbidden) decreased with the increasing concentrations of Al2O3 nanoparticles. The optical properties after irradiation are seen to have high values compared with those before the irradiation which is attributed to the increased charge carriers and the occurrence of some bonds breaking. Finally, the results indicated that the (PMMA/PS/ Al2O3) nanostructures can be considered as promising materials for optoelectronics nanodevices.

Effective utilization of waste plastic derived fuel in CI engine using multi objective optimization through RSM

This study provides the prediction that plastic pyrolysis oil (PPO) is equivalent to petroleum diesel in CI engines. The four input parameters have been considered to enhance performance and reduced emissions. The input parameters of engine trials, like fuel blend (PPO and diesel), compression ratio, nanoparticle concentration, and injection timing, were studied with the response surface methodology (RSM) using the central composite rotating design (CCRD) matrix. The main goal is to identify the ideal values of input parameters that will provide the highest achievable brake thermal efficiency (BTE), the lowest possible brake-specific fuel consumption (BSFC), and the lowest possible emission like carbon monoxide (CO), unburnt hydrocarbons (HC) and nitrogen oxides (NOx). The optimal engine output responses for BTE, BSFC, in-cylinder pressure, heat release rate (HRR), and ignition delay, respectively. Along witha composite desirability of 0.89 under optimum operating conditions. After the regression analysis, 16.56% PPO blend ratio, 53.53 ppm Al2O3 nanoparticle concentration, 18.06 compression ratio, and 20.95 °bTDC injection timing were received the optimized engine settings. Optimal engine input parameters were validated through actual engine trials and compared with optimized responses and found satisfactory and acceptable errors (less than 5%). The current study establishes vital input parameters providing the best engine performance, combustion characteristics, and lower emissions during engine trials. So current investigation declared PPO with Al2O3 nanoparticles is potential fuel for the CI engine.

Computational investigation of the influencing parameters on the melting of phase change material in a square enclosure with built in fin and Al2O3 nanoparticles

Recent advances in renewable energy resources set the interesting research development in the thermal energy storage concepts. The thermal energy storage system (TES) stores the thermal energy in the form of sensible or latent heat or by chemical exothermic and endothermic reactions. In this work, a numerical analysis is implemented to study the effect of Grashof number (Gr), simultaneous incorporation of longitudinal fin, and nanoparticles addition on the transfer of heat and rate of melting of phase change material (PCM). The variation in the position of the fin (0.25H, 0.5H, and 0.75H), length of the fin (0.25L, 0.5L, and 0.75L) relative to the height and length of the container respectively, and different concentrations of Al2O3 nanoparticles (0%, 1%, 3%, and 5%) were studied. The high temperature heat source is given to the left side of the wall, and the low temperature sink condition is applied to the right side. The analysis is carried out for three Gr (5000, 13000, and 20000). It is noted that the time of melting is reduced with longer lengths of the fin and Gr. Also, the melt fraction increases with the position and volume fraction of the nanoparticles up to a certain limit after it reduces. The fin’s optimum length and position were selected as 0.5H and 0.75L with 4.99% and 2.03% more liquid fraction than the other positions. Also the favourable nanoparticles concentration is adopted as 3% Al2O3 with an increase of 5.04%, 4% and 2.56% of melt fraction more than the pure PCM, PCM + (1% Al2O3) / (5% Al2O3) respectively.

Investigation of Superhydrophobic and Anticorrosive Epoxy Films with Al2O3 Nanoparticles on Different Surfaces.

In this study, superhydrophobic epoxy coatings were prepared on different surfaces by utilizing hydrophobized aluminum oxide (Al2O3) nanoparticles. The dispersions containing epoxy and inorganic nanoparticles with different contents were coated on glass, galvanized steel, and skin-passed galvanized steel substrates by the dip coating method. The contact angles of the obtained surfaces were measured via a contact angle meter device, and the surface morphologies were analyzed by utilizing scanning electron microscopy (SEM). The corrosion resistance was performed in the corrosion cabinet. The surfaces showed superhydrophobic properties with high contact angles greater than 150° and self-cleaning properties. SEM images indicated that the surface roughness increased as the concentration increased by the incorporation of Al2O3 nanoparticles into epoxy surfaces. The increase in surface roughness was supported by atomic force microscopy analysis on glass surfaces. It was determined that the corrosion resistance of the galvanized and skin-passed galvanized surfaces increased with the increase of Al2O3 nanoparticle concentration. It has been shown that red rust formation on skin-passed galvanized surfaces was reduced, although they have low corrosion resistance due to roughening on their surfaces.

Melting performance of nano-enhanced phase change materials in a triple-tube heat exchanger with zigzag-shaped tubes

This study aims at evaluating the melting behavior of nano-enhanced phase change materials (NePCM) inside a triple-tube heat exchanger with a zigzag-shape channel configuration. To assess the performance of the proposed geometry, a zigzag tube with different angles and heights is numerically simulated and the results are compared with the conventional triple-tube heat exchanger. Cu, CuO, Al2O3 and Ag nanoparticles with various concentrations are used to improve the thermal conductivity of NePCMs. The main finding of this research is a significant improvement in the melting performance of a triple-tube heat exchanger by employing a middle zigzag tube. The zigzag configuration with a 67.5° angle and 15 mm height is found as the optimum case with a great potential to (i) reduce the melting time from 4654 s in the case of a straight tube to just 827 s and (ii) increase the heat retrieval rate from just ∼47 W in case of a straight tube to ∼185 W. Among the type of nanoparticles analyzed in this research, Al2O3 has the highest melting performance with ∼14 % increase in the melting rate and heat charge rate at 4 % concentration. Increasing the concentration of Al2O3 nanoparticles from 2 % to 6 % improves the heat charge rate by ∼2.3 %.

The effect of Cu coated Al2O3 particle content and densification methods on the microstructure and mechanical properties of Al matrix composites

In the study, aluminum-based nanocomposites were reinforced with different concentrations of Al2O3 nanoparticles ranging from 0 to 15 wt. %. The Al2O3 nanoparticles were coated by nano Ag and nano Cu by the electroless chemical composition to improve the wettability between the matrix and the reinforcement phase. The influence of the suggested deformation technique and the concentrations of Al2O3 nanoparticles on the microstructure, density, and mechanical properties in terms of hardness and compressive strength of the hot extruded Al/Al2O3 nanocomposites was studied. Results revealed that, as the concentration of nano Al2O3 particles increases, the mechanical properties were improved. XRD, FE-SEM equipped with EDX, and elemental mapping indicates a near-uniform distribution of reinforcement nanoparticles in the matrix. The relative density of the formed nanocomposite recorded a slight decreases than the extruded pure Al. Owing to the presence of the Al2O3 nanoparticles, the Al-15 wt. % Al2O3 hot extruded composite achieves a hardness of 136 and 132 measured on the cross and longitudinal sections, respectively, illustrating an improvement of around 109% over the extruded pure Al. The hot extruded Al/Al2O3 nanocomposites with 5, 10, and 15 wt. % content revealed compressive strength of 564, 579, and 763 MPa, respectively, with an enhancement of 97, 102, and 166% over those of the extruded pure Al.

INFLUENCE OF AL2O3 NANO ADDITIVES ON THE VISCOSITY AND THERMAL CONDUCTIVITY OF DOUBLE DISTILLED WATER

The nano fluid consist of Al2O3 nanoparticles was dissolved by double distilled water (DDW) in three concentrations, 0.5% wt, 1%wt, and 1.5%wt of nanomaterials. The effect of adding nano materials on the viscosity and thermal conductivity was calculated experimentally at room temperature. Some mathematical models were used to calculate the viscosity and the thermal conductivity and compare it with the experimental work. The results showed that viscosity and thermal conductivity increased with increasing concentration of Al2O3 nanoparticles, and there is a great convergence between the theoretical and measured viscosity and thermal conductivity. The SEM images showed that there is homogeneity in the distribution of the nano fluid at 1%wt., and some agglomerations were detected at a concentration 1.5%. The EDS spectrum showed that the percentage of aluminum increased gradually with increasing the Al2O3 concentration. The X-Ray diffraction indicated slight increase in the intensity of diffraction with increasing the Al2O3 concentration.

Efficient direct numerical simulation of gas absorption in falling films using a combined high-throughput/high-performance approach

Direct Numerical Simulation (DNS) of liquid–gas mass transfer processes in falling film can model the transfer effect enhancement accurately, but requires huge computational effort. To improve the computational efficiency, we propose a hybrid parallel strategy combining high-throughput computing on the top level and high-performance unit simulations with different interface capture strategies on the bottom level. We investigate the CO2 absorption in methanol with different concentrations of Al2O3 nanoparticles using the proposed computation strategy to demonstrate its performance and assess the intensification mass transfer effect. Moreover, the Structural Similarity Index Measure (SSIM) is utilized in the case of oxygen absorption in water film to compare local gas concentration profiles obtained by the proposed approach, those obtained by the reduced modeling approach and the experimental data generated by a planar laser induced luminescence method under similar conditions. The results show that DNS model matches better the experimental data with high computational accuracy and efficiency.

Enhancing Heat Transfer Inside a Double Pipe Heat Exchanger Using Al2O3 Nanofluid, Experimental Investigation Under Turbulent Flow Conditions

The aim of the present research is to enhance the convective heat transfer coefficient inside the tube of the double pipe under turbulent flow conditions, this is carried out by mixing the water with aluminium oxide (Al2O3) nanoparticles. In this study, the effects of Al2O3 nanofluid with different volume concentrations of 0.05% to 0.4%, mass flow rates of nanofluid inside the tube, mass flow rates of the water flow through the annulus, and inlet temperature inside the tube on the Nusselt number were investigated. The analysis of experiential results revealed that use Al2O3 nanofluids leads to a significant enhancement of the convective heat transfer coefficient. The convective heat transfer coefficients reached maximum values at 0.1% of the volume concentrations of Al2O3 nanoparticles and then decreased as the increase of the volume concentrations from 0.1 to 0.4%. The Nusselt number increases as the Reynolds numbers of both the flows inside the tube and through the annulus increase. The fiction factor increases as the volume concentrations of nanoparticles increases. Empirical correlations are presented describing the Nusslet number and friction factor of the Al2O3 nanofluid flow through the tube of the double pipe heat exchangers, and concealing the affecting parameters in such process.

Tribological Performance of Different Concentrations of Al2O3 Nanofluids on Minimum Quantity Lubrication Milling

Nanofluid minimum quantity lubrication (NMQL) is a green processing technology. Cottonseed oil is suitable as base oil because of excellent lubrication performance, low freezing temperature, and high yield. Al2O3 nanoparticles improve not only the heat transfer capacity but also the lubrication performance. The physical and chemical properties of nanofluid change when Al2O3 nanoparticles are added. However, the effects of the concentration of nanofluid on lubrication performance remain unknown. Furthermore, the mechanisms of interaction between Al2O3 nanoparticles and cottonseed oil are unclear. In this research, nanofluid is prepared by adding different mass concentrations of Al2O3 nanoparticles (0, 0.2%, 0.5%, 1%, 1.5%, and 2% wt) to cottonseed oil during minimum quantity lubrication (MQL) milling 45 steel. The tribological properties of nanofluid with different concentrations at the tool/workpiece interface are studied through macro-evaluation parameters (milling force, specific energy) and micro-evaluation parameters (surface roughness, micro morphology, contact angle). The result show that the specific energy is at the minimum (114 J/mm3), and the roughness value is the lowest (1.63 μm) when the concentration is 0.5 wt%. The surfaces of the chip and workpiece are the smoothest, and the contact angle is the lowest, indicating that the tribological properties are the best under 0.5 wt%. This research investigates the intercoupling mechanisms of Al2O3 nanoparticles and cottonseed base oil, and acquires the optimal Al2O3 nanofluid concentration to receive satisfactory tribological properties.

Study on High-Speed Machining of 2219 Aluminum Utilizing Nanoparticle-Enhanced Minimum Quantity Lubrication (MQL) Technique

High-speed machining processes are significantly affected by the accumulation of heat generated by friction in the cutting zone, leading to reduced tool life and poor quality of the machined product. The use of cutting fluids helps to draw the heat out of the area, owing to their cooling and lubricating properties. However, conventional cutting fluid usage leads to considerable damage to human health and the environment, in addition to increasing overall manufacturing costs. In recent years, minimum quantity lubrication (MQL) has been used as an alternative lubricating strategy, as it significantly reduces cutting fluid consumption and eliminates coolant treatment/disposal needs, thereby reducing operational costs. In this study, we investigated microstructural surface finishing and heat generation during the high-speed cutting process of 2219 aluminum alloy using an MQL nanofluid. 2219 aluminum alloy offers an enhanced strength-to-weight ratio and high fracture toughness and is commonly used in a wide range of aerospace and other high-temperature applications. However, there is no relevant literature on MQL-based high-speed machining of these materials. In this study, we examined flood coolant and five different MQL nanofluids made by synthesizing 0.2% to 2% concentrations of Al2O3 nanoparticles into ultra-food-grade mineral oil. The study results reveal the chemistry between the MQL of choice and the corresponding surface finishing, showing that the MQL nanofluid with a 0.5% concentration of nanoparticles achieved the most optimal machining result. Furthermore, increasing the nanoparticle concentration does result in any further improvement in the machining result. We also found that adding a 0.5% concentration of nanoparticles to the coolant helped to reduce the temperature at the workpiece–tool interface, obtaining a good surface finish.

MHD-hybrid nanofluidic model on rotating plate with impact of thermal slip and heat absorption: a solution predictive neuro-computing approach

The main objective of this research is to design a numerical computational solver-based two-layers structure of Levenberg–Marquardt backpropagation neural networks, i.e. LMB-NNs for the analyses of the heat transfer phenomenon and velocities structure in the MHD incompressible hybrid nanofluidic flow (MHD-IHNF) model with thermal slip and heat absorption/generation over the rotating plate through varying involved parameters, including velocity slip parameter, thermal slip parameter, concentration of Al2O3 nanoparticles, heat generation parameter, Prandtl number, Hartman number, and thermophoresis for sundry scenarios. The MHD-IHNF model is mathematically formulated as a system of PDEs that are converted in the desired system of ODEs by means of suitable transformation. The data-sets are constructed by explicit Runge–Kutta numerical technique that is exploited as a target data-set for the learning of LMP-NNs based on the process of validation, training, and testing to determine the solution of MHD-IHNF model for sundry physical scenarios. The validation, convergence, stability, and verification of LMP-NNs for solution predictive strength of the MHD-IHNF problem are certified in terms of achieved accuracy, regression index measurements, and analysis of error histogram illustrations.