Pub Date : 2026-01-16DOI: 10.1016/j.cherd.2026.01.036
Nikolai A. Jessen , Alexander Findeisen , Krist V. Gernaey , Ulrich Krühne
Spray dryers are highly dynamic systems in which complex airflow patterns, heat and mass transfer, and particle motion interact across multiple length and time scales. Accurately resolving these interactions with fully transient CFD-DPM simulations is computationally expensive, limiting their use for process optimization. This study addresses this challenge by developing and validating a frozen time-averaged airflow CFD-DPM approach for a co-current spray dryer and embedding it within a surrogate-based inverse optimization framework. Compared to fully transient simulations, the frozen airflow approach reproduces key product outputs with comparable accuracy while reducing computational time from approximately 72 h to 15 min, corresponding to a speedup close to 300 for a pilot-scale co-current spray dryer. The workflow is used to train a polynomial surrogate model embedded in an inverse optimization framework. The differences between surrogate and CFD-DPM results remain small, with mean particle temperature deviations below 2 °C, particle diameter differences under 1.2 µm, moisture discrepancies below 0.024 kg kg⁻¹ , and product yield differences below 0.01. The proposed framework can be used as a practical tool for examining the operating input space and for rapid spray dryer optimization without the need for expensive computational hardware.
喷雾干燥机是高度动态的系统,其中复杂的气流模式,传热和传质,以及粒子运动在多个长度和时间尺度上相互作用。通过完全瞬态CFD-DPM模拟准确地解决这些相互作用在计算上是昂贵的,限制了它们在工艺优化中的使用。本研究通过开发和验证用于共流喷雾干燥机的冻结时间平均气流CFD-DPM方法,并将其嵌入基于代理的逆优化框架,解决了这一挑战。与完全瞬态模拟相比,冻结气流方法以相当的精度再现了关键产品的输出,同时将计算时间从大约72 h减少到15 min,相当于中试规模的共流喷雾干燥机的加速接近300。该工作流用于训练嵌入在逆优化框架中的多项式代理模型。代孕法和CFD-DPM法的结果差异很小,平均颗粒温度偏差小于2°C,颗粒直径偏差小于1.2 µm,水分偏差小于0.024 kg kg⁻¹ ,产物得率差异小于0.01。所提出的框架可以用作检查操作输入空间和快速喷雾干燥机优化的实用工具,而不需要昂贵的计算硬件。
{"title":"Inverse optimization of spray drying by surrogate models trained on frozen-field CFD simulations","authors":"Nikolai A. Jessen , Alexander Findeisen , Krist V. Gernaey , Ulrich Krühne","doi":"10.1016/j.cherd.2026.01.036","DOIUrl":"10.1016/j.cherd.2026.01.036","url":null,"abstract":"<div><div>Spray dryers are highly dynamic systems in which complex airflow patterns, heat and mass transfer, and particle motion interact across multiple length and time scales. Accurately resolving these interactions with fully transient CFD-DPM simulations is computationally expensive, limiting their use for process optimization. This study addresses this challenge by developing and validating a frozen time-averaged airflow CFD-DPM approach for a co-current spray dryer and embedding it within a surrogate-based inverse optimization framework. Compared to fully transient simulations, the frozen airflow approach reproduces key product outputs with comparable accuracy while reducing computational time from approximately 72 h to 15 min, corresponding to a speedup close to 300 for a pilot-scale co-current spray dryer. The workflow is used to train a polynomial surrogate model embedded in an inverse optimization framework. The differences between surrogate and CFD-DPM results remain small, with mean particle temperature deviations below 2 °C, particle diameter differences under 1.2 µm, moisture discrepancies below 0.024 kg kg⁻¹ , and product yield differences below 0.01. The proposed framework can be used as a practical tool for examining the operating input space and for rapid spray dryer optimization without the need for expensive computational hardware.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 611-625"},"PeriodicalIF":3.9,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034243","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}
Pub Date : 2026-01-15DOI: 10.1016/j.cherd.2026.01.025
Richel Annan Dadzie , Massimiliano Zanin , William Skinner , Richmond Asamoah , Jonas Addai-Mensah , George Blankson Abaka-Wood
Reprocessing copper flotation tailings is limited by particle-size effects and mineralogical challenges, especially poor liberation. Preliminary studies aimed at recovering copper minerals from complex, low-grade rougher flotation tailings have shown limited success, with values within the intermediate particle size range (-150 +53 µm) failing in conventional mechanical flotation cells. To improve copper recovery, the current study employs a flowsheet that uses Hydrofloat ™ fluidised-bed flotation on the deslimed + 53 µm fraction, considers the REFLUX ™ Flotation Cell (RFC) for the (-53µm) slimes, and compares performance against a Denver mechanical cell. Flotation performance (recovery, grade, size-by-size) was combined with data from Quantitative Evaluation of Minerals by Scanning Electron Microscopy (QEMSCAN), including liberation and locking statistics, to explain the flotation response observed. At similar mass pull (29.3–33 %), Hydrofloat ™ achieved 61.8 % Cu recovery at 0.74 % Cu (upgrade ratio 3.44), outperforming the mechanical flotation cell (44. 6 % Cu at 0. 10 % Cu grade; upgrade ratio 0.6) when processing the deslimed feed, rather than the whole (unsplit) tailings feed. Preliminary RFC tests on the - 53 µm stream maintained high recoveries of fine particles (often >80 %) with improved Cu concentrate grades, aligning with the presence of well-liberated chalcopyrite in slimes. Overall, the results support a split-flotation process for complex copper low grade ores. Although liberation ultimately limits recovery this integrated method significantly enhances copper recovery and upgrade relative to conventional mechanical cells, offering a practical route to unlock value from low-grade sulphide tailings.
铜浮选尾矿的再处理受到粒度效应和矿物学挑战的限制,尤其是解离性差。从复杂的、低品位的粗细浮选尾矿中回收铜矿物的初步研究表明,在常规机械浮选池中,在中等粒度范围内(-150 +53 µm)的数值是失败的。为了提高铜的回收率,目前的研究采用了一个流程,在脱泥+ 53 µm部分使用Hydrofloat™流化床浮选,考虑了(-53µm)泥的REFLUX™浮选池(RFC),并将其性能与丹佛机械池进行了比较。浮选性能(回收率、品位、粒度)与QEMSCAN矿物定量评价(Quantitative Evaluation of Minerals by Scanning Electron Microscopy, QEMSCAN)的数据(包括解离和锁定统计)相结合,来解释观察到的浮选反应。在相同的质量拉力(29.3-33 %)下,Hydrofloat™的铜回收率为61.8 %,铜回收率为0.74 %(升级比3.44),优于机械浮选池(44)。6 % Cu at 0。10 % Cu品位;在处理脱泥料时升级比0.6),而不是处理整个(未分裂)尾矿料。在- 53 µm流上进行的初步RFC测试保持了高细颗粒回收率(通常为>; 80% %),铜精矿品位提高,与泥中黄铜矿的充分释放一致。总体而言,研究结果支持对复杂低品位铜矿石进行分选浮选。尽管释放最终限制了铜的回收,但与传统的机械电池相比,这种集成方法显著提高了铜的回收和升级,为从低品位硫化物尾矿中释放价值提供了实用的途径。
{"title":"Enhanced size-split flotation of sulphide tailings: Mechanical, HydroFloat™, REFLUX ™ flotation benchmarking","authors":"Richel Annan Dadzie , Massimiliano Zanin , William Skinner , Richmond Asamoah , Jonas Addai-Mensah , George Blankson Abaka-Wood","doi":"10.1016/j.cherd.2026.01.025","DOIUrl":"10.1016/j.cherd.2026.01.025","url":null,"abstract":"<div><div>Reprocessing copper flotation tailings is limited by particle-size effects and mineralogical challenges, especially poor liberation. Preliminary studies aimed at recovering copper minerals from complex, low-grade rougher flotation tailings have shown limited success, with values within the intermediate particle size range (-150 +53 µm) failing in conventional mechanical flotation cells. To improve copper recovery, the current study employs a flowsheet that uses Hydrofloat ™ fluidised-bed flotation on the deslimed + 53 µm fraction, considers the REFLUX ™ Flotation Cell (RFC) for the (-53µm) slimes, and compares performance against a Denver mechanical cell. Flotation performance (recovery, grade, size-by-size) was combined with data from Quantitative Evaluation of Minerals by Scanning Electron Microscopy (QEMSCAN), including liberation and locking statistics, to explain the flotation response observed. At similar mass pull (29.3–33 %), Hydrofloat ™ achieved 61.8 % Cu recovery at 0.74 % Cu (upgrade ratio 3.44), outperforming the mechanical flotation cell (44. 6 % Cu at 0. 10 % Cu grade; upgrade ratio 0.6) when processing the deslimed feed, rather than the whole (unsplit) tailings feed. Preliminary RFC tests on the - 53 µm stream maintained high recoveries of fine particles (often >80 %) with improved Cu concentrate grades, aligning with the presence of well-liberated chalcopyrite in slimes. Overall, the results support a split-flotation process for complex copper low grade ores. Although liberation ultimately limits recovery this integrated method significantly enhances copper recovery and upgrade relative to conventional mechanical cells, offering a practical route to unlock value from low-grade sulphide tailings.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"227 ","pages":"Pages 35-45"},"PeriodicalIF":3.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026067","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}
Pub Date : 2026-01-15DOI: 10.1016/j.cherd.2026.01.035
Shida Gao , Cuimei Bo , Guo Yu , Quanling Zhang , Furong Gao , Genke Yang , Jian Chu
Ethylene glycol (EG) serves as a primary raw material in the polyester industry, with syngas-to-dimethyl oxalate (DMO) conversion representing an advanced EG production method. However, this process encounters conflicting objectives between maximization of economic benefits and minimization of carbon emissions, particularly exacerbated by constraints and market prices. To address this challenge, we developed a multi-objective optimization framework for various working conditions: First, we establish a steady-state simulation system incorporating reaction kinetics and mechanisms to model the DMO synthesis process. Then, an innovative economy-carbon emission multi-objective optimization problem is formulated, where the ranges of pivotal operating parameters are determined by sensitivity analysis, and the response surface method is used to obtain the reference points under different conditions. Finally, the optimization problem is solved by the Pareto frontier (PF) estimation algorithm to solve the irregular PF problem, which arises from the complex nonlinear interactions between process variables under various working and price conditions. Under regular working conditions, we compare the knee point among the obtained Pareto solution set with the reference point, and the framework reduces carbon emissions by 19.63% (129.5 kmol/h) while increasing economic benefits by 1.38% (1253.1 yuan/h). Considering three typical conditions of sharp increase of DMC prices, limited production capacity and short-term negative profits, our framework identifies solutions that dominate the reference points and the original turning points in the obtained PF. The results have verified that this study is able to support the decision-making in providing solutions with a good balance between economy and carbon emissions under various working and price conditions.
{"title":"Multi-objective optimization for sustainable dimethyl oxalate synthesis: A plant-wide framework balancing economic benefits and carbon emissions","authors":"Shida Gao , Cuimei Bo , Guo Yu , Quanling Zhang , Furong Gao , Genke Yang , Jian Chu","doi":"10.1016/j.cherd.2026.01.035","DOIUrl":"10.1016/j.cherd.2026.01.035","url":null,"abstract":"<div><div>Ethylene glycol (EG) serves as a primary raw material in the polyester industry, with syngas-to-dimethyl oxalate (DMO) conversion representing an advanced EG production method. However, this process encounters conflicting objectives between maximization of economic benefits and minimization of carbon emissions, particularly exacerbated by constraints and market prices. To address this challenge, we developed a multi-objective optimization framework for various working conditions: First, we establish a steady-state simulation system incorporating reaction kinetics and mechanisms to model the DMO synthesis process. Then, an innovative economy-carbon emission multi-objective optimization problem is formulated, where the ranges of pivotal operating parameters are determined by sensitivity analysis, and the response surface method is used to obtain the reference points under different conditions. Finally, the optimization problem is solved by the Pareto frontier (PF) estimation algorithm to solve the irregular PF problem, which arises from the complex nonlinear interactions between process variables under various working and price conditions. Under regular working conditions, we compare the knee point among the obtained Pareto solution set with the reference point, and the framework reduces carbon emissions by 19.63% (129.5 kmol/h) while increasing economic benefits by 1.38% (1253.1 yuan/h). Considering three typical conditions of sharp increase of DMC prices, limited production capacity and short-term negative profits, our framework identifies solutions that dominate the reference points and the original turning points in the obtained PF. The results have verified that this study is able to support the decision-making in providing solutions with a good balance between economy and carbon emissions under various working and price conditions.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 536-549"},"PeriodicalIF":3.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034239","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}
Pub Date : 2026-01-15DOI: 10.1016/j.cherd.2026.01.022
Ping Gu , Yongmin Zhang , Hui Du
Insufficient filtration performance had long been a critical issue for industrial slurry bed reactors, which hindered plant capacity improvement and increased production costs. To address this, this study experimentally investigated in-vessel filtration characteristics with gas leakage considered, aiming to develop solutions. Gas leakage flux (Jg,l) was originally defined to characterize gas leakage effects, and pressure variation-based method was proposed to measure liquid filtration flux (J) and its average (Javg) for quantifying filtration performance. Results showed that when superficial gas velocity (ug) increased from 0.027 to 0.063 m/s, Jg,l increased by 684.4 %, impairing filtrate outflow and reducing Javg by 44 %. When particle concentration (Cw) increased from 5 % to 15 %, Javg and Jg,l decreased by 74.6 % and 69 %, with Javg dropping more sharply. Javg for 30 μm filter tubes was 325.93 L/(m2·h), which was much lower than for 50 μm (496.98 L/(m2·h)) and 80 μm (568.65 L/(m2·h)), indicating excessively high ug, high Cw, and smaller filter tube pore size (df) as key causes. Increasing df from 30 to 80 μm boosted Javg by 74.5 %, while increasing Jg,l by 178.8 %. Filtrate analysis showed low particle concentrations and no substantial long-term particle loss, confirming reasonably increasing df as a feasible solution for in-vessel filtration performance enhancement. This study identified the root causes of insufficient filtration performance and proposed a feasible solution, which could serve as a viable reference for addressing analogous issues and thus held considerable academic and engineering significance.
{"title":"Experimental study on in-vessel filtration characteristics of Fischer-Tropsch slurry bed reactors considering influence of gas leakage","authors":"Ping Gu , Yongmin Zhang , Hui Du","doi":"10.1016/j.cherd.2026.01.022","DOIUrl":"10.1016/j.cherd.2026.01.022","url":null,"abstract":"<div><div>Insufficient filtration performance had long been a critical issue for industrial slurry bed reactors, which hindered plant capacity improvement and increased production costs. To address this, this study experimentally investigated in-vessel filtration characteristics with gas leakage considered, aiming to develop solutions. Gas leakage flux (<em>J</em><sub><em>g</em>,<em>l</em></sub>) was originally defined to characterize gas leakage effects, and pressure variation-based method was proposed to measure liquid filtration flux (<em>J</em>) and its average (<em>J</em><sub><em>avg</em></sub>) for quantifying filtration performance. Results showed that when superficial gas velocity (<em>u</em><sub><em>g</em></sub>) increased from 0.027 to 0.063 m/s, <em>J</em><sub><em>g</em>,<em>l</em></sub> increased by 684.4 %, impairing filtrate outflow and reducing <em>J</em><sub><em>avg</em></sub> by 44 %. When particle concentration (<em>C</em><sub><em>w</em></sub>) increased from 5 % to 15 %, <em>J</em><sub><em>avg</em></sub> and <em>J</em><sub><em>g</em>,<em>l</em></sub> decreased by 74.6 % and 69 %, with <em>J</em><sub><em>avg</em></sub> dropping more sharply. <em>J</em><sub><em>avg</em></sub> for 30 μm filter tubes was 325.93 L/(m<sup>2</sup>·h), which was much lower than for 50 μm (496.98 L/(m<sup>2</sup>·h)) and 80 μm (568.65 L/(m<sup>2</sup>·h)), indicating excessively high <em>u</em><sub><em>g</em></sub>, high <em>C</em><sub><em>w</em></sub>, and smaller filter tube pore size (<em>d</em><sub><em>f</em></sub>) as key causes. Increasing <em>d</em><sub><em>f</em></sub> from 30 to 80 μm boosted <em>J</em><sub><em>avg</em></sub> by 74.5 %, while increasing <em>J</em><sub><em>g</em>,<em>l</em></sub> by 178.8 %. Filtrate analysis showed low particle concentrations and no substantial long-term particle loss, confirming reasonably increasing <em>d</em><sub><em>f</em></sub> as a feasible solution for in-vessel filtration performance enhancement. This study identified the root causes of insufficient filtration performance and proposed a feasible solution, which could serve as a viable reference for addressing analogous issues and thus held considerable academic and engineering significance.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 589-596"},"PeriodicalIF":3.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034284","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}
Pub Date : 2026-01-14DOI: 10.1016/j.cherd.2026.01.029
Fuyao Yan , Wenpeng Shen , Bo Qi , Longgang Mo , Xueying Fan , Wei Song , Dongliang Wang
The ammonia industry faces critical challenges of high energy consumption and carbon emissions. Conventional steam methane reforming (SMR) process suffers from excessive fuel gas demand due to the strongly endothermic reactions in the primary reformer (PR) and the nitrogen surplus caused by excess air injection in the secondary reformer (SR) for methane conversion. This study investigates the effects of temperature, steam-to-carbon ratio, and oxygen content on reformer performance. It proposes an oxygen-enhanced conversion (OEC) process that redistributes methane conversion loads between reformers: reducing the load in the PR decreases fuel natural gas consumption, while introducing oxygen-enriched air (OEA) into the SR converts residual methane. Results demonstrate increased methane content at the PR outlet from 10 vol% to 30 vol%, reduced PR heat duty from 62.99 MW to 35.02 MW, and elevated oxygen content in SR air from 21 % to 28 %. A systematic comparison reveals that, compared to the conventional SMR process, the OEC process reduces fuel natural gas input from 186.54 to 51.49 Nm³ /t NH3, lowers direct CO2 emissions from 1707.06 to 1533.04 kg/t NH3, improves energy efficiency from 55.78 % to 59.68 %, and decreases production costs by 2.6 %. This offers a viable pathway for energy conservation and carbon reduction in ammonia synthesis.
{"title":"Oxygen-enhanced conversion-based process retrofit and assessment of natural gas steam reforming for synthetic ammonia production","authors":"Fuyao Yan , Wenpeng Shen , Bo Qi , Longgang Mo , Xueying Fan , Wei Song , Dongliang Wang","doi":"10.1016/j.cherd.2026.01.029","DOIUrl":"10.1016/j.cherd.2026.01.029","url":null,"abstract":"<div><div>The ammonia industry faces critical challenges of high energy consumption and carbon emissions. Conventional steam methane reforming (SMR) process suffers from excessive fuel gas demand due to the strongly endothermic reactions in the primary reformer (PR) and the nitrogen surplus caused by excess air injection in the secondary reformer (SR) for methane conversion. This study investigates the effects of temperature, steam-to-carbon ratio, and oxygen content on reformer performance. It proposes an oxygen-enhanced conversion (OEC) process that redistributes methane conversion loads between reformers: reducing the load in the PR decreases fuel natural gas consumption, while introducing oxygen-enriched air (OEA) into the SR converts residual methane. Results demonstrate increased methane content at the PR outlet from 10 vol% to 30 vol%, reduced PR heat duty from 62.99 MW to 35.02 MW, and elevated oxygen content in SR air from 21 % to 28 %. A systematic comparison reveals that, compared to the conventional SMR process, the OEC process reduces fuel natural gas input from 186.54 to 51.49 Nm³ /t NH<sub>3</sub>, lowers direct CO<sub>2</sub> emissions from 1707.06 to 1533.04 kg/t NH<sub>3</sub>, improves energy efficiency from 55.78 % to 59.68 %, and decreases production costs by 2.6 %. This offers a viable pathway for energy conservation and carbon reduction in ammonia synthesis.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 575-588"},"PeriodicalIF":3.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034237","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}
Pub Date : 2026-01-14DOI: 10.1016/j.cherd.2026.01.030
Laia Miranda , Sara Rodriguez-Conde , Olalekan Daramola , Andrea Ducci , Martina Micheletti
The ambr® 250, a miniaturized bioreactor extensively used in biopharmaceutical R&D, was characterized to evaluate power and mixing dynamics for mammalian cell culture applications. The study analyzed the effects of agitation speed, impeller configuration, internal components, working volume, and feed placement on dimensionless mixing number () and power number (. Six impeller designs, including single and dual elephant ear (EE) configurations with varied angles and diameters, were investigated. Down-pumping (DP) mode reduced by 54 % and increased cumulative by 14–22 % compared to up-pumping (UP) mode. Mixing time () remained consistent between single and dual EE impellers, though cumulative was 33 % higher for single EE impellers. Dual EE impellers in DP mode achieved the lowest power input per volume () for similar . Spatial mixing time distribution and probe-induced effects on mixing parameters were also assessed. An early transition to turbulence was observed at Reynolds numbers () below 10,000 in unbaffled systems, regardless of the presence of internal components such as baffles and probes. Probes increased and by 49 % and 26 %, respectively. This characterization advances understanding of milliliter-scale bioreactor performance and provides a foundation for optimizing the design and operation of mammalian cell-based processes.
{"title":"Assessing mixing performance and power consumption in the ambr® 250 bioreactor","authors":"Laia Miranda , Sara Rodriguez-Conde , Olalekan Daramola , Andrea Ducci , Martina Micheletti","doi":"10.1016/j.cherd.2026.01.030","DOIUrl":"10.1016/j.cherd.2026.01.030","url":null,"abstract":"<div><div>The ambr® 250, a miniaturized bioreactor extensively used in biopharmaceutical R&D, was characterized to evaluate power and mixing dynamics for mammalian cell culture applications. The study analyzed the effects of agitation speed, impeller configuration, internal components, working volume, and feed placement on dimensionless mixing number (<span><math><msub><mrow><mi>Nt</mi></mrow><mrow><mi>m</mi></mrow></msub></math></span>) and power number (<span><math><mrow><msub><mrow><mi>N</mi></mrow><mrow><mi>P</mi></mrow></msub><mo>)</mo></mrow></math></span>. Six impeller designs, including single and dual elephant ear (EE) configurations with varied angles and diameters, were investigated. Down-pumping (DP) mode reduced <span><math><msub><mrow><mi>Nt</mi></mrow><mrow><mi>m</mi></mrow></msub></math></span> by 54 % and increased cumulative <span><math><msub><mrow><mi>N</mi></mrow><mrow><mi>P</mi></mrow></msub></math></span> by 14–22 % compared to up-pumping (UP) mode. Mixing time (<span><math><msub><mrow><mi>t</mi></mrow><mrow><mi>m</mi></mrow></msub></math></span>) remained consistent between single and dual EE impellers, though cumulative <span><math><msub><mrow><mi>N</mi></mrow><mrow><mi>P</mi></mrow></msub></math></span> was 33 % higher for single EE impellers. Dual EE impellers in DP mode achieved the lowest power input per volume (<span><math><mrow><mi>P</mi><mo>/</mo><mi>V</mi></mrow></math></span>) for similar <span><math><msub><mrow><mi>t</mi></mrow><mrow><mi>m</mi></mrow></msub></math></span>. Spatial mixing time distribution and probe-induced effects on mixing parameters were also assessed. An early transition to turbulence was observed at Reynolds numbers (<span><math><mi>Re</mi></math></span>) below 10,000 in unbaffled systems, regardless of the presence of internal components such as baffles and probes. Probes increased <span><math><msub><mrow><mi>N</mi></mrow><mrow><mi>P</mi></mrow></msub></math></span> and <span><math><mrow><msub><mrow><mi>Nt</mi></mrow><mrow><mi>m</mi></mrow></msub><mspace></mspace></mrow></math></span>by 49 % and 26 %, respectively. This characterization advances understanding of milliliter-scale bioreactor performance and provides a foundation for optimizing the design and operation of mammalian cell-based processes.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 597-610"},"PeriodicalIF":3.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034749","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}
The drying process involving heat and mass transfer at solid-liquid interfaces is fundamental in various industries such as food, pharmaceuticals and textiles. One of the most challenging aspects of this phenomenon is to ensure smooth heat and mass transfer at solid-liquid interfaces, as discontinuities in boundary conditions can lead to inaccurate results and complicate process control. This study is devoted to the formulation of mathematical conditions that ensure a smooth transition at solid-liquid interfaces in a combined drying process. A transition state model based on Fourier and Fick equations is proposed to describe heat exchange and moisture diffusion in a food product. The modelling takes into account the thermophysical properties of the material, the heat transfer coefficient and the operating conditions of the system. Fundamental theories and mathematical methods required for effective modelling to improve the understanding and control of drying processes are also discussed.
{"title":"Realisation of mathematical conditions ensuring smooth transition of heat and mass transfer at the boundaries of solids and liquids","authors":"J.E. Safarov , Sh.A. Sultanova , D.I. Samandarov , Gurbuz Gunes , M.R. Najafli , A.A. Mambetsheripova , M.M. Pulatov , Gunel Imanova","doi":"10.1016/j.cherd.2026.01.032","DOIUrl":"10.1016/j.cherd.2026.01.032","url":null,"abstract":"<div><div>The drying process involving heat and mass transfer at solid-liquid interfaces is fundamental in various industries such as food, pharmaceuticals and textiles. One of the most challenging aspects of this phenomenon is to ensure smooth heat and mass transfer at solid-liquid interfaces, as discontinuities in boundary conditions can lead to inaccurate results and complicate process control. This study is devoted to the formulation of mathematical conditions that ensure a smooth transition at solid-liquid interfaces in a combined drying process. A transition state model based on Fourier and Fick equations is proposed to describe heat exchange and moisture diffusion in a food product. The modelling takes into account the thermophysical properties of the material, the heat transfer coefficient and the operating conditions of the system. Fundamental theories and mathematical methods required for effective modelling to improve the understanding and control of drying processes are also discussed.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 476-484"},"PeriodicalIF":3.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973738","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}
Pub Date : 2026-01-14DOI: 10.1016/j.cherd.2026.01.033
William L. Luyben
The design of chemical plants involves many engineering tradeoffs that balance capital cost, energy cost, operability, efficiency, safety, reliability, complexity, environmental impact and sustainability, to name a few. The classical tradeoff between reactor costs and separation costs dominates many decisions particularly when material and energy recycles are incorporated in the plant topology. Chemical reactors have several size and operating variables that must be selected to achieve an efficient and profitable system: size, temperature, pressure and reactant recycle. All of these parameters impact selectivity if undesirable byproducts are formed. The purpose of this paper is to quantitatively explores how reactor design variables can be adjusted to achieve very high selectivity in those cases in which the suppression of the production of the undesired product is critical because of safety, toxicity, environmental or sequestration issues.
{"title":"Limitations for improving selectivity in chemical reactors","authors":"William L. Luyben","doi":"10.1016/j.cherd.2026.01.033","DOIUrl":"10.1016/j.cherd.2026.01.033","url":null,"abstract":"<div><div>The design of chemical plants involves many engineering tradeoffs that balance capital cost, energy cost, operability, efficiency, safety, reliability, complexity, environmental impact and sustainability, to name a few. The classical tradeoff between reactor costs and separation costs dominates many decisions particularly when material and energy recycles are incorporated in the plant topology. Chemical reactors have several size and operating variables that must be selected to achieve an efficient and profitable system: size, temperature, pressure and reactant recycle. All of these parameters impact selectivity if undesirable byproducts are formed. The purpose of this paper is to quantitatively explores how reactor design variables can be adjusted to achieve very high selectivity in those cases in which the suppression of the production of the undesired product is critical because of safety, toxicity, environmental or sequestration issues.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 569-574"},"PeriodicalIF":3.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034240","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}
Pub Date : 2026-01-13DOI: 10.1016/j.cherd.2026.01.028
Zhe Li , Peng Wang , Yafeng Zhang , Jiaxuan Zhang , Hangyu Miao , Jie Liu , Tong Huang , Ziheng Zheng , Wei Duan , Ying Yue
The new material integrating passive anti-icing and active de-icing features ensures long-lasting low-temperature protection, overcoming the poor durability of traditional superhydrophobic materials and the sunlight dependency of photothermal materials. Inspired by polar bear fur, this study develops a multifunctional silicone sponge with phase-change, superhydrophobic, and photothermal properties for anti-icing. By incorporating an n-tetradecane phase-change material (PCM) into a porous polydimethylsiloxane (PDMS) sponge to form an energy storage layer and combining squid ink powder-modified superhydrophobic photothermal coatings, performance synergy optimization can be achieved. Microscopic analysis showed that the phase-change material filled the sponge pores, while the surface coating formed micro/nanostructures, providing superhydrophobicity (CA 155.6°, RA 3.1°) and self-cleaning properties. Photothermal tests demonstrated a significant increase in solar absorption, with surface temperatures reaching 94.3°C under twice the solar light intensity. Combining PCM heat storage/release created a thermal plateau lasting up to 17,100 s, delaying temperature drops. Outdoor tests showed the material extended freezing time to 3633 ± 215 s at –15°C and enabled rapid de-icing within 105 ± 26 s under sunlight. Inspired by polar bear fur and fat, this biomimetic design achieves all-weather anti-icing, delaying ice formation over 8 h. It provides a new approach for extreme-environment materials with aerospace, power, and polar applications.
{"title":"All-weather anti-icing material: Biomimetic sponge coupling phase change energy storage with photothermal superhydrophobic surface","authors":"Zhe Li , Peng Wang , Yafeng Zhang , Jiaxuan Zhang , Hangyu Miao , Jie Liu , Tong Huang , Ziheng Zheng , Wei Duan , Ying Yue","doi":"10.1016/j.cherd.2026.01.028","DOIUrl":"10.1016/j.cherd.2026.01.028","url":null,"abstract":"<div><div>The new material integrating passive anti-icing and active de-icing features ensures long-lasting low-temperature protection, overcoming the poor durability of traditional superhydrophobic materials and the sunlight dependency of photothermal materials. Inspired by polar bear fur, this study develops a multifunctional silicone sponge with phase-change, superhydrophobic, and photothermal properties for anti-icing. By incorporating an n-tetradecane phase-change material (PCM) into a porous polydimethylsiloxane (PDMS) sponge to form an energy storage layer and combining squid ink powder-modified superhydrophobic photothermal coatings, performance synergy optimization can be achieved. Microscopic analysis showed that the phase-change material filled the sponge pores, while the surface coating formed micro/nanostructures, providing superhydrophobicity (CA 155.6°, RA 3.1°) and self-cleaning properties. Photothermal tests demonstrated a significant increase in solar absorption, with surface temperatures reaching 94.3°C under twice the solar light intensity. Combining PCM heat storage/release created a thermal plateau lasting up to 17,100 s, delaying temperature drops. Outdoor tests showed the material extended freezing time to 3633 ± 215 s at –15°C and enabled rapid de-icing within 105 ± 26 s under sunlight. Inspired by polar bear fur and fat, this biomimetic design achieves all-weather anti-icing, delaying ice formation over 8 h. It provides a new approach for extreme-environment materials with aerospace, power, and polar applications.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 645-655"},"PeriodicalIF":3.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034241","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}
Pub Date : 2026-01-13DOI: 10.1016/j.cherd.2026.01.016
Xingyue Pu , Yu Zhang , Yijie Wang , Mingzhang Xu , Ziyue Wang , Qiyu Huang , Zicheng Liu , Hongyu Wang
Hot-cold blending of waxy crude oils in interconnected pipelines can trigger rapid cooling, wax precipitation, and gel formation, posing serious risks to flow assurance. To address this challenge, a loop apparatus with a T-junction was developed to systematically investigate flow behavior and deposition characteristics under different temperature differences (ΔT) and momentum ratios (M). Flow visualization showed that increasing main-stream velocity transformed the branch jet from impinging to deflected and finally to wall jet, leading to reduced blending efficiency and enhanced flow heterogeneity. Wax deposition tests revealed that rapid cooling produced gels with smaller, loosely connected wax crystals, weaker intermolecular forces, and significantly lower yield stress compared with slow cooling. Based on differential scanning calorimetry (DSC) results and the Avrami equation, a predictive model for gel strength was established and validated against experimental data, achieving deviations within ±15 %. This work clarifies the mechanisms of rapid-cooling gel formation during hot–cold blending and provides a practical tool for evaluating deposition strength, offering guidance for blending operation design and pigging strategies in high pour point crude oil pipelines.
{"title":"Mechanisms of stratification and gel deposition during hot-cold blending of waxy crude oil","authors":"Xingyue Pu , Yu Zhang , Yijie Wang , Mingzhang Xu , Ziyue Wang , Qiyu Huang , Zicheng Liu , Hongyu Wang","doi":"10.1016/j.cherd.2026.01.016","DOIUrl":"10.1016/j.cherd.2026.01.016","url":null,"abstract":"<div><div>Hot-cold blending of waxy crude oils in interconnected pipelines can trigger rapid cooling, wax precipitation, and gel formation, posing serious risks to flow assurance. To address this challenge, a loop apparatus with a T-junction was developed to systematically investigate flow behavior and deposition characteristics under different temperature differences (ΔT) and momentum ratios (M). Flow visualization showed that increasing main-stream velocity transformed the branch jet from impinging to deflected and finally to wall jet, leading to reduced blending efficiency and enhanced flow heterogeneity. Wax deposition tests revealed that rapid cooling produced gels with smaller, loosely connected wax crystals, weaker intermolecular forces, and significantly lower yield stress compared with slow cooling. Based on differential scanning calorimetry (DSC) results and the Avrami equation, a predictive model for gel strength was established and validated against experimental data, achieving deviations within ±15 %. This work clarifies the mechanisms of rapid-cooling gel formation during hot–cold blending and provides a practical tool for evaluating deposition strength, offering guidance for blending operation design and pigging strategies in high pour point crude oil pipelines.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"226 ","pages":"Pages 437-449"},"PeriodicalIF":3.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973740","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}