Chemical Engineering Research & Design最新文献

{"title":"Influences of channel geometry and fluid properties on overlap dynamics and interfacial stability for two immiscible fluid streams collision","authors":"Ajmain Mahtab,&nbsp;Tahmid Jawad,&nbsp;Ahsanul Kabir Shuvo,&nbsp;Dewan Hasan Ahmed","doi":"10.1016/j.cherd.2026.08.051","DOIUrl":"10.1016/j.cherd.2026.08.051","url":null,"abstract":"<div><div>Multiphase overlap flow in open channels is a fundamental process that governs stability, mixing, and mass transfer in various fluid systems. This study investigates the influence of channel geometry, fluid properties, and Reynolds numbers on the formation and stability of overlap zones during immiscible fluid collision. Unlike previous studies that qualitatively outlined two-phase regimes, this work quantitatively characterizes the internal morphology of immiscible overlap flow and demonstrates how geometry, inertia, and interfacial forces collectively influence the transition from stable, stratified interfaces to dynamically corrugated structures. The novelty lies in extending established interfacial descriptors to capture the balance among inertia, viscosity, and surface tension within the overlap region, offering a broader understanding of overlap dynamics compared with previous droplet or coalescence studies. Three channel geometries, like half-circular, trapezoidal, and asymmetrical, were modeled using a transient Volume of Fluid approach in ANSYS Fluent, with water as the primary fluid stream and mineral oil, butanol, and PDMS as secondary fluid streams under varying Reynolds numbers. The results reveal that both geometry and flow conditions strongly control the transition between stable and deformable overlap regimes. In the asymmetrical channel with viscous PDMS at lower Reynolds numbers, the interface remained thick and continuous, exhibiting the lowest corrugation index (<em>CI</em> ≈ 0.70), a minimal interface-length-to-penetration ratio (≈ 0.35), and a surface-tension-dominated regime (overlap Weber number <em>We</em>_ol ≈ 0.64), all indicative of weak interfacial interaction and stable overlap behavior. As inertial effects increased, the interface transitioned to wavy and corrugated morphologies, enhancing surface renewal and emulsification. This is reflected in the steep drop of the Dispersed Layer Index from (<em>DLI</em> ≈ 0.0782) to (<em>DLI</em> ≈ 0.01) with increasing Reynolds number. Collectively, these results provide a framework for designing adaptable multiphase systems relevant to coating, purification, drug encapsulation, and bio-compatible material processing.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 860-881"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148936177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"H2 co-feeding within oxygen permeable membrane reactor boosts OPDH selectivity: Modeling local chemical equilibrium coupled with chemical reaction kinetics","authors":"Hongyan Xiao,&nbsp;Xuehua Ruan,&nbsp;Kaimin Zhang,&nbsp;Shengyan Meng,&nbsp;Shijie Yang,&nbsp;Yi Liu,&nbsp;Xuefeng Zhu,&nbsp;Gaohong He","doi":"10.1016/j.cherd.2026.08.030","DOIUrl":"10.1016/j.cherd.2026.08.030","url":null,"abstract":"<div><div>Oxidative propane dehydrogenation (OPDH) represents a promising alternative route for propylene production but remains challenged by selectivity loss due to propylene over-oxidation. Herein, we propose H₂ co-feeding in an oxygen permeable membrane reactor (OPMR) to maintain high propylene selectivity while enhancing propane conversion. The mechanisms of H₂ include: (i) continuously diluting propylene to suppress kinetics; (ii) selectively oxidizing H₂ to consume excess oxygen; and (iii) synergistically mitigating over-oxidation with a uniform oxygen supply. This work develops a multi-mechanism coupled model integrating oxygen transport, local chemical equilibrium for H₂ selective oxidation, and detailed propane dehydrogenation kinetics. The model combines the conventional oxygen transport framework with the local chemical equilibrium of H₂ selective oxidation to describe the coupled transport and reaction processes in the OPMR. The model’s accuracy and applicability are validated by experiments at various oxygen addition rates under industrial H₂ co-feeding conditions. Under optimized operating conditions, the proposed OPMR achieves a propylene selectivity of 91.05%, comparable to the industrial selectivity benchmark of 91.02%, together with a propane conversion of 37.46%, exceeding the industrial conversion benchmark by 1.81 %age points. This integrated strategy effectively balances over-oxidation suppression with enhanced reaction efficiency, providing an efficient and economically viable pathway toward the industrial implementation of OPDH.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 800-811"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pressure drop fluctuations in magnetically fluidized beds of Fe-based materials under uniform and gradient magnetic fields","authors":"Casper De Somer,&nbsp;Ruben De Croo,&nbsp;Balamurugan Deivendran,&nbsp;Hilde Poelman,&nbsp;Vladimir V. Galvita,&nbsp;Geraldine Heynderickx,&nbsp;Luc Dupré,&nbsp;Annelies Coene","doi":"10.1016/j.cherd.2026.08.038","DOIUrl":"10.1016/j.cherd.2026.08.038","url":null,"abstract":"<div><div>Gas-solid bubbling fluidized beds are widely used in industrial processes, including gasification and combustion, and their performance is co-defined by the bubble dynamics in the particle bed, often examined through pressure drop fluctuation analysis. This work analyzes the impact of multiple magnetic field configurations on the pressure drop fluctuations in magnetically fluidized beds of Geldart B <span><math><mrow><mi>F</mi><msub><mrow><mi>e</mi></mrow><mrow><mn>3</mn></mrow></msub><msub><mrow><mi>O</mi></mrow><mrow><mn>4</mn></mrow></msub></mrow></math></span> particles and Geldart D <span><math><mrow><mi>F</mi><mi>e</mi></mrow></math></span> particles. The magnetic force consists of two components, the magnetic interparticle forces and external magnetic gradient force. Their effects on the pressure drop fluctuations are analyzed separately. Application of a uniform or contra-flow gradient magnetic field reduces the bubble size at a fixed gas velocity, while co-flow gradient magnetic fields yield similar bubble sizes. Additionally, application of a uniform or co-flow gradient magnetic field extends the bubbling bed regime to larger gas velocities as compared to a fluidized bed operating in absence of a magnetic field. Additionally, while the application of a uniform or contra-flow gradient magnetic field overall leads to a smaller maximum bubble size, application of a co-flow gradient magnetic field increases the maximum bubble size. Dynamical control of bubble dynamics may offer opportunities for process intensification, which requires further validation with reaction or mixing tests.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 836-847"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148936176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tree-based ensemble learning algorithms for predicting the performance of organic solvent reverse osmosis membranes","authors":"Ziyang Tong,&nbsp;Yong Pan,&nbsp;Yuling Xiao,&nbsp;Xin Zhang,&nbsp;Xiangyang Luan","doi":"10.1016/j.cherd.2026.08.052","DOIUrl":"10.1016/j.cherd.2026.08.052","url":null,"abstract":"<div><div>Organic solvent reverse osmosis (OSRO) offers a safer and less energy-intensive alternative to conventional thermal separations, but accurately predicting membrane performance remains challenging. In this work, six tree-based machine learning (ML) algorithms were developed to predict membrane performance. A dataset containing 160 experimental data points was collected. Pearson correlation analysis combined with Recursive Feature Elimination with Cross-Validation (RFECV) was employed to screen seven physically meaningful descriptors related to molecular interactions, operating conditions, and material properties. Six tree-based machine learning algorithms, including Decision Tree (DT), Random Forest (RF), Gradient Boosting Regressor (GBR), eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and Categorical Boosting (CatBoost), were trained to predict permeance and rejection. Model predictive stability was assessed using leave-one-out cross-validation (LOOCV) and 5-fold cross-validation. CatBoost achieved the best overall predictive performance, achieving test-set R² values of 0.954 for permeance and 0.926 for rejection, together with low AAE, RMSE, and MAPE values. Furthermore, SHapley Additive exPlanations (SHAP) analysis indicated that permeance is primarily governed by solvent molar volume and solvent mass fraction, whereas rejection is strongly influenced by the solubility parameter distances between solvent, solute, and membrane, as well as the solute molar volume. These findings provide a data-driven framework for predicting OSRO membrane performance and identifying influential factors for membrane design.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 898-910"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-Cr/SBA-15 shaped catalysts: Structural integrity and catalytic performance for hydrogen production via methanol autothermal reforming","authors":"M. Martínez,&nbsp;P.J. Megía,&nbsp;N. Sánchez,&nbsp;A. Moreno de la Calle,&nbsp;A. Carrero,&nbsp;A. Salazar","doi":"10.1016/j.cherd.2026.08.033","DOIUrl":"10.1016/j.cherd.2026.08.033","url":null,"abstract":"<div><div>The scale-up of catalysts for hydrogen production requires high catalytic activity but also sufficient mechanical integrity to ensure reliable operation under realistic conditions. In this work, the physicochemical and mechanical properties of Co-Cr/SBA-15 extrudates were systematically correlated with their catalytic performance in methanol autothermal steam reforming. Extrudates were prepared using bentonite as a binder and characterized by diametral compression and bending tests, supported by Weibull statistical analysis. Increasing binder content significantly enhanced mechanical strength, although it also led to higher variability due to defect distribution. Binder incorporation during shaping resulted in a reduced surface area and metal loading. Nevertheless, Co-Cr/SBA-15 + bentonite (70:30 wt:wt) extrudates achieved methanol conversions above 99% and hydrogen yields of 30% at 600 °C. The preservation of mesostructural order and pore accessibility after extrusion ensured efficient mass transport and accessibility to bimetallic active sites, allowing the catalytic performance of the powder material to be largely retained. Overall, the catalyst with higher binder content exhibited improved mechanical properties while maintaining stable catalytic performance. These results demonstrate that the extrusion conditions can be tailored to achieve an optimal balance between mechanical robustness and catalytic efficiency, providing valuable insights for the design of structured catalysts for fixed-bed reactor applications.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 669-680"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148845758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pressure drop fluctuations in magnetically fluidized beds of Fe-based materials under uniform and gradient magnetic fields","authors":"Casper De Somer,&nbsp;Ruben De Croo,&nbsp;Balamurugan Deivendran,&nbsp;Hilde Poelman,&nbsp;Vladimir V. Galvita,&nbsp;Geraldine Heynderickx,&nbsp;Luc Dupré,&nbsp;Annelies Coene","doi":"10.1016/j.cherd.2026.08.038","DOIUrl":"10.1016/j.cherd.2026.08.038","url":null,"abstract":"<div><div>Gas-solid bubbling fluidized beds are widely used in industrial processes, including gasification and combustion, and their performance is co-defined by the bubble dynamics in the particle bed, often examined through pressure drop fluctuation analysis. This work analyzes the impact of multiple magnetic field configurations on the pressure drop fluctuations in magnetically fluidized beds of Geldart B <span><math><mrow><mi>F</mi><msub><mrow><mi>e</mi></mrow><mrow><mn>3</mn></mrow></msub><msub><mrow><mi>O</mi></mrow><mrow><mn>4</mn></mrow></msub></mrow></math></span> particles and Geldart D <span><math><mrow><mi>F</mi><mi>e</mi></mrow></math></span> particles. The magnetic force consists of two components, the magnetic interparticle forces and external magnetic gradient force. Their effects on the pressure drop fluctuations are analyzed separately. Application of a uniform or contra-flow gradient magnetic field reduces the bubble size at a fixed gas velocity, while co-flow gradient magnetic fields yield similar bubble sizes. Additionally, application of a uniform or co-flow gradient magnetic field extends the bubbling bed regime to larger gas velocities as compared to a fluidized bed operating in absence of a magnetic field. Additionally, while the application of a uniform or contra-flow gradient magnetic field overall leads to a smaller maximum bubble size, application of a co-flow gradient magnetic field increases the maximum bubble size. Dynamical control of bubble dynamics may offer opportunities for process intensification, which requires further validation with reaction or mixing tests.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 836-847"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148936183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tree-based ensemble learning algorithms for predicting the performance of organic solvent reverse osmosis membranes","authors":"Ziyang Tong,&nbsp;Yong Pan,&nbsp;Yuling Xiao,&nbsp;Xin Zhang,&nbsp;Xiangyang Luan","doi":"10.1016/j.cherd.2026.08.052","DOIUrl":"10.1016/j.cherd.2026.08.052","url":null,"abstract":"<div><div>Organic solvent reverse osmosis (OSRO) offers a safer and less energy-intensive alternative to conventional thermal separations, but accurately predicting membrane performance remains challenging. In this work, six tree-based machine learning (ML) algorithms were developed to predict membrane performance. A dataset containing 160 experimental data points was collected. Pearson correlation analysis combined with Recursive Feature Elimination with Cross-Validation (RFECV) was employed to screen seven physically meaningful descriptors related to molecular interactions, operating conditions, and material properties. Six tree-based machine learning algorithms, including Decision Tree (DT), Random Forest (RF), Gradient Boosting Regressor (GBR), eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), and Categorical Boosting (CatBoost), were trained to predict permeance and rejection. Model predictive stability was assessed using leave-one-out cross-validation (LOOCV) and 5-fold cross-validation. CatBoost achieved the best overall predictive performance, achieving test-set R² values of 0.954 for permeance and 0.926 for rejection, together with low AAE, RMSE, and MAPE values. Furthermore, SHapley Additive exPlanations (SHAP) analysis indicated that permeance is primarily governed by solvent molar volume and solvent mass fraction, whereas rejection is strongly influenced by the solubility parameter distances between solvent, solute, and membrane, as well as the solute molar volume. These findings provide a data-driven framework for predicting OSRO membrane performance and identifying influential factors for membrane design.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 898-910"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phase transformation and acid leaching kinetics of Na2CO3-activated low-rank coal for gallium recovery","authors":"Luodan Xiang,&nbsp;Ting’an Zhang","doi":"10.1016/j.cherd.2026.08.040","DOIUrl":"10.1016/j.cherd.2026.08.040","url":null,"abstract":"<div><div>As a critical metal for high-tech industries, gallium faces growing supply demand. Low-rank coal, as an abundant carbonaceous resource with associated gallium, is a promising secondary resource, but direct gallium recovery is restricted by its stable aluminosilicate lattice and high carbon content. This work develops an integrated Na₂CO₃ activation–HCl leaching process for efficient gallium recovery from low-rank coal. Na₂CO₃ activation transforms refractory kaolinite into acid-soluble nepheline (NaAlSiO₄), breaking the lattice confinement of gallium and markedly enhancing its release during leaching. Under optimal conditions, a decarburization efficiency of 65.3% is achieved, and the final gallium leaching efficiency reaches 73.9%, higher than the 34.0% obtained from direct roasting coal. The leaching follows a shrinking core model with staged rate-limiting behavior: the initial stage is dominated by external diffusion, while the overall process is governed by mixed diffusion-reaction control, with an apparent activation energy of 21.86 kJ/mol and a pre-exponential factor of 1.99 min⁻¹ . This study provides an effective phase regulation strategy for low-rank coal valorization and critical metal supply.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 812-823"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148952627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving the quality of treated wastewater with cost reduction as a result of two-stage optimisation of biological processes in SBR","authors":"Robert Piotrowski,&nbsp;Tomasz Ujazdowski,&nbsp;Łukasz Kalbarczyk,&nbsp;Łukasz Krysztofik","doi":"10.1016/j.cherd.2026.08.044","DOIUrl":"10.1016/j.cherd.2026.08.044","url":null,"abstract":"<div><div>The paper addresses the optimisation of control strategies for biological wastewater treatment in a sequencing batch reactor (SBR) system. The classical control structure was extended by introducing a supervisory control layer, within which a two-stage optimisation framework was designed and implemented, consisting of an outer and an inner optimiser. The main objective was to determine the optimal operating parameters of the reactor cycle, including the number and duration of biological reaction phases as well as the nonlinear reference trajectory of dissolved oxygen (DO) concentration (<em>DO</em>_<em>ref</em>), in order to reduce energy consumption while ensuring the required quality of treated wastewater in accordance with the applicable water-law regulations. The study was carried out in the MATLAB environment using a simulation model developed on the basis of a real installation located in Swarzewo (Northern Poland). The optimisation problem was solved using stochastic methods, namely genetic algorithms (GA) and particle swarm optimisation (PSO). The simulation results confirmed the effectiveness of the proposed approach and showed that the application of the supervisory two-stage optimisation layer improves the operational performance of the wastewater treatment plant. Reductions in chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) of 100%, 71.6%, and 84.1%, respectively, were achieved.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 784-799"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148936170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two-dimensional reaction-flow model of catalytic reforming radial reactor","authors":"Tianzheng Qiu,&nbsp;Yao He,&nbsp;Hongbo Jiang","doi":"10.1016/j.cherd.2026.08.036","DOIUrl":"10.1016/j.cherd.2026.08.036","url":null,"abstract":"<div><div>Based on an aromatics-type continuous catalytic reforming unit in a Chinese refinery, this study develops a new two-dimensional reactor model that integrates fluid dynamics, reaction kinetics, and the complete inlet–outlet flow channel configuration.The flow channels and the catalyst bed are treated as an integrated whole in the calculation, thereby enabling an accurate representation of the flow behavior of the gas within the catalyst bed. The two-dimensional distributions of velocity and pressure within the catalyst bed are obtained through iterative calculations using the SIMPLE algorithm and Sequential Quadratic Programming (SQP) algorithm. Based on this, the two-dimensional distributions of temperature, concentration, and catalyst coke content inside the reactor are obtained through iterative calculations incorporating the 36-lumped kinetic model for catalytic reforming. The pressure and velocity fields are corrected by back-substituting the density values from the calculation results, and the new two-dimensional distributions within the reactor are recalculated. The final results are obtained after multiple iterations. Model validation results indicate that the simulated data align well with industrial data. Based on this, the influence of key structural parameters on the reactor performance was further investigated under the condition of a fixed catalyst load. The variation of structural parameters has certain impact on reactor pressure drop, distribution of reaction products and comprehensive uniformity.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"233 ","pages":"Pages 697-714"},"PeriodicalIF":4.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148845759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}