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Published Research PapersFiltered: Year 2026 • 26 • 5

Showing 11 of 22 peer-reviewed papers with full Graphical Abstracts.

Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225222• Jan 15, 2026

Study on Net Cross-Zone Flow Characteristics of Composite Tridimensional Rotational Flow Sieve Tray

Authors: Ping HUO, Yue MA, Hongkai WANG, Meng TANG

The composite tridimensional rotational flow sieve tray (CTRST) integrates a packing zone and a swirl zone to enhance gas-liquid contact, yet its application range and structural optimization are hindered by unclear cross-zone flow distribution mechanisms. This study experimentally investigates gas-liquid cross-zone distribution and flow loss in both zones, introducing net cross-zone flow proportions for gas and liquid phases to quantify inter-zone flow. Under tested conditions, the net liquid cross-zone flow proportion ranged from -0.325 to -0.370, indicating net liquid flow from the swirl zone to the packing zone, while the net gas flow proportion ranged from 0.022 to 0.310, indicating net gas flow from the packing zone to the swirl zone. Analysis of loss flow ratios revealed that liquid spray density and gas kinetic energy factor had minor influence on net liquid loss flow proportion (always less than -0.037), suggesting low resistance to liquid exchange. Conversely, gas loss flow proportion varied significantly from -0.047 to -0.319, indicating substantial resistance to gas cross-zone interaction. This gas loss ratio initially increased then decreased with liquid spray density, peaking at 92.26 m3/(m2·h), and increased with gas kinetic energy factor. A predictive model for net cross-zone flow proportions was developed, correlating operational parameters with flow loss intensity, providing theoretical support for optimizing tray design and operation.

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Study on Net Cross-Zone Flow Characteristics of Composite Tridimensional Rotational Flow Sieve Tray

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225241• Jan 15, 2026

Research Progress on CO2 Hydrogenation to Aromatics: Catalyst Design, Kinetic Modeling, and Reactor Engineering

Authors: Jie ZHANG, Zixuan GONG, Maoming GONG, Hui WANG

Amid the global pursuit of carbon neutrality, the catalytic conversion of carbon dioxide (CO2) into high-value-added aromatics represents a critical frontier in sustainable chemistry. This process offers the dual benefit of mitigating greenhouse gas emissions while establishing a non-petroleum route for the production of indispensable platform chemicals. However, the practical realization of CO2 conversion is hindered by formidable challenges originating from the thermodynamic stability of CO2 and the kinetic challenges in C-C bond formation. This review provides a critical and comprehensive analysis of recent progress on CO2 hydrogenation to aromatics, focusing on the development of catalyst design, reaction kinetics, and reactor engineering, with the goal of accelerating industrial application. The two dominant reaction pathways, i.e., the methanol-intermediate and the olefin-intermediate routes, are summarized and progress in the design of efficient multifunctional catalysts for each pathway is given. A key point in bifunctional catalyst development is the challenge of balancing the synergy and separation of hydrogenation sites and acidic aromatization active sites. Synergy is crucial for driving the reaction equilibrium forward by rapidly consuming intermediates, whereas separation, often achieved through sophisticated architectures like core-shell structures, is vital for preventing deactivation, such as the migration of alkaline promoters into the zeolite (the aromatization component). Also, this review analyzes the kinetic modeling progress proposed for this complex, multi-step reaction system. For the initial CO2 conversion step, the authors highlighted the evolution of kinetic models, particularly the ongoing efforts to accurately quantify the critical water inhibition effect in methanol synthesis. For the subsequent aromatization stage, this review critically compares two distinct modeling strategies: the use of lumping models, which simplify the reaction network for robust engineering simulations, and the single-event microkinetic (SEMK) models, which offer profound mechanistic insights by considering elementary reaction steps. Furthermore, it is pointed out that these kinetic models serve as indispensable inputs for computational fluid dynamics (CFD) simulations, which guide the design, optimization, and scale-up of industrial reactors. These simulations can address practical engineering challenges such as thermal management to control hotspots and fluid dynamics to mitigate excessive pressure drop. By systematically bridging the conceptual gap from atomic-level catalyst design to macro-scale reactor optimization, this review provides theoretical guidance aimed at accelerating the engineering scale-up of this vital carbon utilization technology.

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Research Progress on CO2 Hydrogenation to Aromatics: Catalyst Design, Kinetic Modeling, and Reactor Engineering

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225225• Jan 15, 2026

Measurement and Correlation of Rheological Properties of Molten Plastics and Their Blends

Authors: MA Shaoping, HAN Ying, WU Shuang, XIAO Yafeng, DONG Zhongtian, WANG Zhihui, ZHANG Qinghua, YANG Chao

The non-Newtonian rheological properties of plastic melts are critical for regulating plastic processing, molding, and recycling processes, ensuring processing stability and product performance. However, rheological data for commonly used plastics and their blends remain incomplete. This study combined experimental testing and theoretical modeling to investigate the rheological behaviors of four pure plastics—polypropylene (PP), polyethylene (PE), polystyrene (PS), and acrylonitrile-butadiene-styrene copolymer (ABS)—and three binary blend systems: PE/ABS, PP/ABS, and PS/ABS. Rheological tests were conducted using a rheometer over a shear rate range of 0.1–100 s⁻¹ and temperatures from 180°C to 250°C. Results showed that the flow behavior index n was less than 1 for all samples, and apparent viscosity decreased significantly with increasing shear rate, indicating clear shear-thinning behavior. The consistency coefficient K followed the Arrhenius relationship with temperature, and melt viscosity decreased as temperature increased. The study quantitatively characterized the relationship between the mass fraction m (0.5 < m ≤ 1) of the main component in binary blends and melt viscosity. Based on experimental data, a component correction term was introduced into the traditional power-law model to construct a constitutive equation that simultaneously describes the effects of shear rate, temperature, and component fraction on melt viscosity. The average relative error between model predictions and experimental values was only 5.90%. These rheological data and the modified constitutive equation provide important theoretical support and data reference for optimizing process parameters in waste plastic recycling and injection molding.

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Measurement and Correlation of Rheological Properties of Molten Plastics and Their Blends

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225250• Jan 15, 2026

Research Progress and Intelligent Trend of Slag Foaming Prediction

Authors: Xinggan ZHANG, Yujie LIU, Mengting SHANG, Haichuan WANG, Yunjin XIA, Guilin SUN

Slag foaming is a critical phenomenon in electric arc furnace (EAF) steelmaking, enhancing thermal efficiency, suppressing metal splashing, and stabilizing the refining process. Accurate prediction and control of slag foaming are essential for green and efficient steelmaking. This review systematically examines research progress on slag foaming prediction, clarifying the applicability, advantages, and limitations of different predictive methods to support intelligent control of foamy slags. Following the framework of 'influencing factors-prediction methods-development trends', the study summarizes the coupling effects of multiple variables such as basicity, viscosity, surface tension, suspended particles, gas parameters, and temperature on foam formation and stability. It compares five major prediction approaches: empirical formulas, dimensionless modeling, thermodynamic calculations, computational fluid dynamics (CFD) simulations, and machine learning models, analyzing their core concepts, merits, and constraints. Results indicate that single models often struggle to balance real-time capability and accuracy, particularly under multi-variable coupling and complex operating conditions. Therefore, a hybrid prediction framework combining mechanism-based and data-driven models is proposed, emphasizing physical constraints, multi-scale coupling, and multi-source data fusion. This integrated approach is expected to advance slag foaming prediction from 'computable' to 'controllable and adjustable', offering methodological insights for the development of green and intelligent EAF steelmaking.

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Research Progress and Intelligent Trend of Slag Foaming Prediction

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225141• Jan 15, 2026

Effect of the Number of Clogged Bottom-Blowing Elements on the Flow Characteristics of Liquid Steel in Converter

Authors: Hao WU, Xueting JIANG, Guanghong ZHANG, Bingzheng XIAO, Haichuan WANG, Aijun DENG

This study established a three-dimensional transient gas-liquid two-phase flow model based on a 150-tonne converter to investigate the influence of the number of clogged bottom-blowing elements on the stirring efficiency of the molten pool. The numerical simulation results were validated against actual converter operating conditions. The findings revealed that the primary reason for deteriorated flow characteristics under multiple clogged tuyeres was the overall reduction in stirring energy input from the bottom-blowing gas. Specifically, when the number of clogged tuyeres reached three, the numerically simulated mixing time increased from 150.6 s to 219.3 s, a significant increase of 45.62%. This numerical result was in good agreement with water model experiments, indicating that prompt furnace bottom maintenance and tuyere replacement should be considered under such circumstances. At the same bottom-blowing intensity, the effective stirring area of a single inner-ring tuyere was 0.919 m2, while that of a single outer-ring tuyere was 1.651 m2. The combined effective area achieved through the synergy of inner and outer ring tuyeres was 2.940 m2, which was 14.4% greater than the sum of their individual areas. Clogging disrupted this synergistic stirring effect. A single clogged tuyere had a negligible impact on the distribution of dead zones. However, when tuyeres in both the inner and outer rings were clogged, dead zones became more numerous and concentrated. With 3 and 4 clogged tuyeres, the dead zone volume reached 3.703 and 5.946 m3, accounting for 17.31% and 27.79% of the total molten pool volume, respectively. An industrial plant trial conducted based on the numerical simulation scheme showed that key performance indicators deteriorated as the number of clogged tuyeres increased. With three clogged tuyeres, the average end-point oxygen content reached 0.0669wt%, which was 22.1% higher than that under non-clogged conditions. Concurrently, the total iron content in the slag reached 19.44%, a 24.5% increase compared to the non-clogged baseline.

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Effect of the Number of Clogged Bottom-Blowing Elements on the Flow Characteristics of Liquid Steel in Converter

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225215• Jan 15, 2026

Numerical Simulation of Lean Fuel Combustion Characteristics of CH4/H2/CO2

Authors: Yamei LAN, Hailong CHENG, Wulang YI

CO2 dilution is a recognized strategy for combustion control, yet its detailed effects on CH4/H2 combustion under lean conditions remain insufficiently characterized. This study numerically investigated jet diffusion flames in a triangular nozzle burner, varying CO2 mixing ratios from 0% to 40%, equivalence ratios from 0.4 to 0.9, at 300 K and 101325 Pa. The standard k-ε turbulence model and non-premixed combustion model were employed, with grid independence verified. Results showed that increasing CO2 blending reduced peak flame temperature, flame height, and average furnace temperature from 1688 K (0% CO2) to 1344 K (40% CO2). CO2 inhibited forward reactions of CO with O and OH, reducing O2 consumption. NOx emissions decreased by up to 95.5% at φ=0.7 (from 6.7×10-5 to 3.03×10-6) and 94.3% at φ=0.9, compared to pure methane. Conversely, H2 enrichment (0% to 40%) raised peak temperature from 2018 K to 2199 K and shifted the peak location closer to the burner (from 1.16 m to 0.82 m), promoting more compact flames. In CH4/H2 mixtures, CO2 still effectively reduced NOx, though the effect slightly weakened with higher CO2 ratios. Controlling CO2 blending below 30% balances NOx reduction and combustion stability. The CH4/H2/CO2 ternary strategy enables coordinated regulation of temperature and pollutant emissions, offering a technical pathway for hydrogen-rich fuel applications.

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Numerical Simulation of Lean Fuel Combustion Characteristics of CH4/H2/CO2

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225264• Jan 15, 2026

Study on Anti-poisoning Property and Mechanism of Rare Earth Superlattice Hydrogen Storage Alloys

Authors: Tianmeng HE, Yajie ZHANG, Xiaoyi XUE, He ZHANG, Shubin ZHANG, Jinpeng WANG, Hao WANG, Yanrong LIU

The high cost of high-purity hydrogen necessitates the utilization of low-cost industrial by-product hydrogen as an alternative gas source to reduce hydrogen storage costs. Industrial by-product hydrogen typically contains impurities such as H2S and CO, yet the poisoning mechanisms of these gases on superlattice hydrogen storage alloys during hydrogen absorption/desorption remain poorly understood. This study systematically investigates the poisoning effects and regeneration behavior of La0.65Mg1.32Ca1.03Ni9Y0.17 superlattice hydrogen storage alloy in atmospheres containing 10^-3 H2S and CO. The experimental protocol comprised 10 poisoning cycles followed by 1 regeneration, repeated to total 20 poisoning cycles and 2 pure hydrogen regenerations. Results show that in pure hydrogen, the alloy's hydrogen storage capacity gradually decreases after 22 cycles but is effectively restored after dehydrogenation at 473 K. In the presence of impurity gases, the hydrogen storage capacity retention rates after 10 poisoning cycles with H2S and CO are 3.56% and 2.71%, respectively; after 20 cycles, these decrease to 3.68% and 1.73%, respectively. After dehydrogenation at 473 K, retention rates recover to 40.35% and 98.27%, respectively. This indicates that poisoning severity follows the order CO > H2S, while regeneration difficulty follows H2S > CO. X-ray diffraction analysis reveals that after poisoning, the main phase transforms from AB3 to AB3H, but reverts to AB3 after high-temperature dehydrogenation. X-ray photoelectron spectroscopy shows that after H2S poisoning, CaS and CaSO4 form on the alloy surface, indicating irreversible chemical adsorption. In contrast, after CO poisoning, no new substances are detected, indicating reversible adsorption. This study clarifies the differentiated poisoning mechanisms of impurity gases and provides theoretical support for the application of rare-earth superlattice hydrogen storage alloys in complex atmospheres.

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Study on Anti-poisoning Property and Mechanism of Rare Earth Superlattice Hydrogen Storage Alloys

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225172• Jan 15, 2026

Preparation and Oil-Water Separation Performance of PVDF Membranes Co-modified with Dopamine and Polyvinyl Alcohol

Authors: PANG Shulei, WU Haitao, SUN Han, DONG Yanmao

The increasing discharge of oily wastewater from oil extraction and anthropogenic activities necessitates the development of efficient oil-water separation technologies to safeguard ecological and environmental safety and ensure sustainable resource utilization. Membrane separation technology, owing to its high efficiency and operational convenience, has emerged as a viable solution for treating oily wastewater. To enhance the hydrophilic and oleophobic properties of hydrophobic separation membranes, this study employed polyvinylidene fluoride (PVDF) hydrophobic microfiltration membranes with robust mechanical properties as substrates. Through a biomimetic coating approach, dopamine (DA) was first polymerized to form polydopamine (PDA) on the membrane surface, which subsequently reacted with polyvinyl alcohol (PVA) to construct a dense hydrophilic layer, yielding modified membranes with hydrophilic/oleophobic surface characteristics. The morphology and chemical composition of the modified membranes were characterized using scanning electron microscopy (SEM), atomic force microscopy (AFM), Fourier transform infrared spectroscopy (FTIR), and X-ray photoelectron spectroscopy (XPS). Oil-water separation performance was comprehensively evaluated by measuring water contact angle, underwater oil contact angle, emulsion flux, and oil rejection. Under optimal conditions, the modified membrane M3 exhibited a pure water flux of 4893.2 ± 70.2 L/(m²·h), an emulsion flux of 2138.1 ± 29.4 L/(m²·h) for toluene-in-water emulsion, and an oil rejection of 98.5% ± 0.1%. Simulated fouling and regeneration tests using bovine serum albumin (BSA) solution demonstrated a flux recovery rate of 92.0% for M3, indicating excellent antifouling performance. Immersion tests in acid, alkali, and salt solutions confirmed the modified membrane's outstanding chemical stability. The designed PVDF modified membrane offers advantages of simplicity, environmental friendliness, and high efficiency, showing significant application potential in oil-water separation and providing a novel strategy for membrane development.

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Preparation and Oil-Water Separation Performance of PVDF Membranes Co-modified with Dopamine and Polyvinyl Alcohol

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225162• Jan 15, 2026

Effect of Tempering Temperature on Precipitates, Microstructure, and Mechanical Properties of Quenched Cu-Cr-Ni Ultra-High Strength Weathering Steel

Authors: Tingting YU, Yongcheng MIAO, Ke ZHANG, Jinghui LI, Mingya ZHANG, Yong LI, Zhong HUANG, Hongbo PAN

The effects of tempering temperature on the microstructure, strength-toughness balance, and precipitates of a quenched Cu-Cr-Ni ultra-high strength weathering steel were systematically investigated. The steel was austenitized at 920°C, quenched, and then tempered at 500°C, 550°C, and 600°C. Microstructural characterization was performed using optical microscopy (OM), scanning electron microscopy (SEM), and transmission electron microscopy (TEM), while mechanical properties were evaluated via tensile and low-temperature impact tests. Results showed that as the tempering temperature increased from 500°C to 600°C, the microstructure transformed from lath-shaped tempered sorbite to a non-lath morphology. The fraction of rod-like cementite decreased, while spheroidized cementite increased, and the size of MC (M = Ti, Nb, V, Mo) precipitates decreased from an average of 12.2 nm to 9.9 nm. Consequently, yield strength and tensile strength decreased from 935 MPa and 958 MPa to 866 MPa and 888 MPa, respectively, whereas total elongation and impact energy at -40°C increased continuously, reaching maximum values of 5.0% and 280 J at 600°C. When tempered at 550°C, the steel exhibited a yield strength of 895 MPa, tensile strength of 921 MPa, elongation of 4.3%, and impact energy of 271 J at -40°C, demonstrating an optimal combination of strength and toughness. This improvement is primarily attributed to the spheroidization of cementite and the uniform dispersion of fine MC precipitates, which alleviate stress concentration, along with the softening of the acicular ferrite matrix during tempering.

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Effect of Tempering Temperature on Precipitates, Microstructure, and Mechanical Properties of Quenched Cu-Cr-Ni Ultra-High Strength Weathering Steel

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.226111• Jan 15, 2026

Hydrogen-bonded networks and N2O/N2 adsorption separation performance of pyridinecarboxylate guanidinium HOFs

Authors: Lina JIA, Shiyao CHEN, Guoying ZHAO, Changyu SUN

Efficient capture of the greenhouse gas nitrous oxide (N2O) is critical for climate change mitigation and resource recovery. In this study, two guanidinium-based hydrogen-bonded organic frameworks (HOFs) with pyridyl nitrogen site isomerism, namely G-5,5'-BPyDC and G-4,4'-BPyDC, were constructed using 2,2'-bipyridine-5,5'-dicarboxylic acid and 2,2'-bipyridine-4,4'-dicarboxylic acid as ligands. The effects of ligand structure on hydrogen-bonded network, pore environment, and N2O/N2 adsorption separation performance were systematically investigated via single-crystal X-ray diffraction, thermogravimetric analysis, Hirshfeld surface analysis, and gas adsorption experiments. Both frameworks are built via N-H...O hydrogen bonds. The asymmetric unit of G-5,5'-BPyDC contains two methanol molecules, resulting in larger free volume and surface area compared to G-4,4'-BPyDC, which exhibits more compact packing. Both materials show decomposition temperatures above 290°C, indicating good thermal stability. Hirshfeld surface analysis reveals that the total contribution of O-H/H-O and N-H/H-N hydrogen bonds in G-5,5'-BPyDC (32.0%) is higher than that in G-4,4'-BPyDC (29.7%). At 25°C and 4.0 MPa, the N2O adsorption capacity of G-5,5'-BPyDC is 2.32 mmol/g, surpassing that of G-4,4'-BPyDC (2.02 mmol/g). IAST calculations show that the selectivities of G-5,5'-BPyDC for N2O/N2 (50:50 and 10:90) mixtures reach 29.26 and 111.32, respectively, significantly superior to those of G-4,4'-BPyDC (6.61 and 17.03). Pyridyl nitrogen site isomerism effectively optimizes N2O/N2 adsorption and separation by modulating pore polarity and hydrogen-bonded network, offering a new strategy for isomer design.

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Hydrogen-bonded networks and N2O/N2 adsorption separation performance of pyridinecarboxylate guanidinium HOFs

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Original ResearchVol. 26, Issue 5 • pp. 100-112DOI: 10.12034/j.issn.1009-606X.225195• Jan 15, 2026

Simulation and optimization of pre-concentration extractive distillation for the separation of acetonitrile-n-propanol-water ternary azeotropic system

Authors: Shoushi BO, Meiyu WANG, Ying LI, Lanyi SUN

The separation of multicomponent azeotropic mixtures remains a persistent challenge in industrial wastewater treatment due to complex phase equilibrium behavior involving minimum/maximum boiling azeotropes and liquid-liquid phase separation. Pharmaceutical wastewater often contains a ternary mixture of acetonitrile, n-propanol, and water, which exhibits significant non-ideality and multiple azeotropic points, including binary azeotropes for acetonitrile-water, n-propanol-water, and acetonitrile-n-propanol pairs, as well as a ternary azeotrope. This study conducted a comprehensive investigation encompassing thermodynamic modeling, solvent screening, process design, and multi-objective optimization. A reliable thermodynamic framework was established using an activity coefficient model (NRTL), validated against experimental data. Systematic analysis of vapor-liquid equilibrium diagrams identified ethylene glycol as the optimal extractant due to its superior selectivity. Three distinct separation processes were developed: a conventional three-column distillation sequence (TCED), a four-column pre-concentration extractive distillation configuration (FCED), and an innovative three-column integrated pre-concentration extractive distillation system incorporating a thermally coupled column (TCED-IDC). Multi-objective optimization using the improved nondominated sorting genetic algorithm (NSGA-II) targeted total annualized cost (TAC), CO2 emissions (ECO2), and thermodynamic efficiency (η), subject to stringent purity constraints (≥99.9 wt% for products and ≥99.99 wt% for extractant recycle). The integrated three-column configuration achieved 41.2% lower TAC, 50.4% lower CO2 emissions, and 102% higher thermodynamic efficiency compared to the conventional TCED process. This integrated pre-concentration extractive distillation process is established as an industrially viable, energy-efficient solution for acetonitrile-n-propanol-water separation, aligning with green chemistry principles.

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Simulation and optimization of pre-concentration extractive distillation for the separation of acetonitrile-n-propanol-water ternary azeotropic system

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