Chemical Engineering & Technology最新文献

This article proposes a new type of spoiler structure to improve the heat dissipation performance of battery packs. The influences of the spoiler number n, spoiler length d, and spoiler width w in the waist-hole shaped spoiler structure on the maximum temperature, power consumption, and total deformation are analyzed. The results show that the addition of the waist-hole shaped spoiler structure is more beneficial than the non-spoiler structure on the heat dissipation performance of the battery pack, and it has higher structural strength. At inlet mass flow rates of 0.1 kg/s for the waist-hole shaped spoiler structure, the maximum temperature decreased by 5.48 K (8.60%) compared with original structure. In addition, the number of spoiler n, the length of spoiler d, and the width of spoiler w have a significant impact on the heat dissipation performance of the battery. This work has reference significance for the flow passage structural design of power battery packs.

We successfully engineered a cactus-like Co₂P nanocatalyst for overall water splitting by incorporating manganese to modulate its electronic structure. Incorporating Mn into Co₂P enhances both HER and OER through optimized surface adsorption, leading to faster kinetics and improved catalytic efficiency. The Mn-Co₂P catalyst delivers outstanding alkaline HER performance, requiring just 51 mV to drive 10 mA cm⁻² while showing no degradation during a 48-h stability test. Notably, the OER overpotential is just 283 mV at 50 mA cm⁻² with remarkable durability. Remarkably, when utilized as dual-function electrodes in a complete water electrolysis system, the Mn-Co₂P-based system delivers 10 mA cm⁻² at a low cell voltage of 1.523 V, along with brilliant long-term stability.

Research on passive cooling for reactor safety has drawn significant attention, with natural convection around confined cylindrical enclosures being a key focus. A computational fluid dynamics (CFD)-based thermal–hydraulic investigation is conducted to analyze natural convection heat transfer within a 3 × 3 array of vertically heated cylinders enclosed in a water tank. The study employs a full structural detail (FSD) model, accurately representing the geometry of each heating rod to ensure close correspondence with the experimental configuration. Building upon prior single-phase studies, the present work introduces a two-phase alumina–water nanofluid model to examine three-dimensional natural convection phenomena. Numerical simulations are conducted to evaluate the overall Nusselt numbers for both single- and symmetric-cylinder arrangements. Comparison between experimental and CFD predictions confirms strong agreement in the Nusselt–Rayleigh number relationship, validating the numerical methodology.

The present study investigates the steady incompressible natural convective flow of power law fluid in a squared enclosure having a T-shaped fin under the magnetic field and thermal radiation effects. The governing partial differential equations (PDEs) are transformed into nondimensional equations by employing dimensionless variables. The resulting system of dimensionless PDEs is solved numerically. The numerical simulations showed that the velocity and temperature profiles increases at higher Rayleigh number. Further, the addition of a magnetic field, quantified by the Hartmann number, decreases the fluid velocity and kinetic energy, reflecting the resistive effects of magnetic forces on the flow dynamics. The local and average Nusselt numbers decreases for higher radiation parameter. The obtained outcomes provide valuable insights for applications used in advanced thermal management systems, requiring fluid flow control and enhancing heat transfer.

Microfluidic dual Y-junction channels play a vital role in biomedical, chemical, and industrial applications. Yet studies on non-Newtonian fluid behavior in such complex geometries remain limited. The current study presents a computational fluid dynamics (CFD)-based analysis of Newtonian, shear-thinning (n = 0.00035), and shear-thickening (n = 1.23) fluids through a dual Y-junction channel, using COMSOL Multiphysics 6.0. A five-rectangle dual Y-channel was modeled to study velocity and pressure distributions using different types of fluid, as mentioned above. Results show Newtonian fluids exhibit linear pressure drops and smooth velocity profiles, whereas shear-thinning fluids display symmetric velocity peaks and nonlinear pressure variations. On the other hand, shear-thickening fluids demonstrate multimodal velocity with complex pressure recovery patterns. These insights aid in optimizing microfluidic designs for applications such as polymer processing, lab-on-chip systems, and biological fluid transport.

This review provides recent findings about the membranes fabricated using green solvents concerning their pore sizes and structure. We summarized preparations of green membranes and solvent recovery after membrane fabrication using polymer membranes. Recent studies on machine learning (ML), offering new efficient routes for membrane preparation were discussed. Regardless of the type of solvent, the most important parameters that control porosity of the membranes are thermodynamic and kinetic parameters. The field of solvent recovery with the aid of ML will evolve in the next decade and help to fully satisfy the principles of green chemistry and minimization of environmental pollution.

This study presents the synthesis of a multifunctional polymer nanocomposite (hereinafter, chitosan-4-hydroxybenzaldehyde/CuO [CHI-4HBA/CuO]) based on 4-hydroxybenzaldehyde (4HBA)-modified chitosan Schiff base and CuO nanoparticles. The CHI-4HBA/CuO nanocomposite was characterized using field emission scanning electron microscopy with energy-dispersive x-ray spectroscopy (FESEM–EDX), Brunauer–Emmett–Teller (BET) surface area analysis, differential scanning calorimetry–thermogravimetric analysis (DSC–TGA), x-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR). The adsorption properties of CHI-4HBA/CuO were investigated through the removal of organic dye (eosin Y, EOY). Box–Behnken design (BBD) was used to optimize the adsorption of EOY. The CHI-4HBA/CuO demonstrated a BET surface area of 24.43 m²/g and a total pore volume of 0.02135 cm³/g. The optimal adsorption conditions (0.075 g dose, pH ∼ 4, 39 min) yielded 91.43% EOY removal efficiency. The CHI-4HBA/CuO demonstrated an adsorption capacity of 250.43 mg/g.

Pipeline corrosion is a major cause of leakage in the oil and gas industry, posing serious safety and environmental risks. This study proposes an accelerated evaluation strategy integrated with predictive modeling to enable rapid and accurate estimation of pipeline corrosion rates. Steel pipelines were subjected to hydrochloric acid (0.1–1.0%) immersion tests at 10–35°C, and data obtained under strong acidic conditions were used to establish correlations applicable to milder environments. Based on these datasets, a multi-parameter coupled model was developed in MATLAB with pH and temperature as core inputs. Validation against experiments confirmed high reliability, with prediction errors consistently below 10%. The model is linked to the refinery's DCS and HAZOP framework, enabling real-time monitoring and early warning for a wax oil hydrogenation unit, providing a practical tool for corrosion assessment, risk reduction, and safer pipeline operation.