Chemical Engineering Science最新文献

Experimental study on the dynamics of droplet collisions at different viscosities

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-13 DOI: 10.1016/j.ces.2025.121367

Desheng Chen, Chenlu Zhang, Aoqi Feng, Tingting Wang, Zhe Lin

引用次数: 0

Lattice-Confined single cobalt atom in ZrO2 for propane non-oxidative dehydrogenation

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-12 DOI: 10.1016/j.ces.2025.121349

Bohan Feng, Yicong Bao, Yuechang Wei, Dong Li, Jing Xiong, Zhen Zhao, Yunpeng Liu, Weiyu Song, Chunming Xu, Jian Liu

引用次数: 0

Molecular Management in Continuous Catalytic Reforming Operations by Enhanced Aromatics Production through Transformer-Driven Entropy Maximization Reconstruction

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-12 DOI: 10.1016/j.ces.2025.121359

Yi Shi, Weimin Zhong, Xin Peng, Kaixun He, Dong Xue

{"title":"Molecular Management in Continuous Catalytic Reforming Operations by Enhanced Aromatics Production through Transformer-Driven Entropy Maximization Reconstruction","authors":"Yi Shi, Weimin Zhong, Xin Peng, Kaixun He, Dong Xue","doi":"10.1016/j.ces.2025.121359","DOIUrl":"https://doi.org/10.1016/j.ces.2025.121359","url":null,"abstract":"Catalytic Reforming (CCR) units are pivotal in refining industries for hydrogen and aromatics production. Traditional CCR optimization, focusing on operational conditions and lumping kinetics, fails to capture molecular interactions and feedstock variability, leading to inefficiencies. This research introduces a CCR optimization framework leveraging molecular reconstruction adaptable to minor feedstock changes. We propose the Transformer-driven Entropy Maximization (TREM) method, integrating historical data to improve naphtha composition accuracy. A molecular-level CCR kinetic model is then developed, linked to the TREM method, within a multi-objective optimization (MOO) framework for enhanced production adaptability. Furthermore, we introduce the Online Synchronized Learning Multi-Objective Optimization (OSLMOO) method, applying online learning to a meta-heuristic algorithm, reducing computational complexity and enhancing adaptability to property and market fluctuations. These methods collectively enhance the efficiency and profitability of CCR operations by overcoming the limitations of traditional optimization approaches.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"63 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid modeling of methanol to olefin fluidized bed reactor corrected by artificial neural network

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-12 DOI: 10.1016/j.ces.2025.121323

Chengyu Wang, Wei Wang, Yanji Sun, Yanqiu Pan, Chuanzhi Jia

引用次数: 0

Enhanced removal of cationic dyes using copper-based MOF-graphene oxide composite: Synthesis, characterization and performance evaluation

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-12 DOI: 10.1016/j.ces.2025.121362

Maryam Naseer, Sadia Nazir, Abida Kausar, Muhammad Abid Rashid, Muhammad Usman, Rehana Naseer, Jibran Iqbal

{"title":"Enhanced removal of cationic dyes using copper-based MOF-graphene oxide composite: Synthesis, characterization and performance evaluation","authors":"Maryam Naseer, Sadia Nazir, Abida Kausar, Muhammad Abid Rashid, Muhammad Usman, Rehana Naseer, Jibran Iqbal","doi":"10.1016/j.ces.2025.121362","DOIUrl":"https://doi.org/10.1016/j.ces.2025.121362","url":null,"abstract":"HKUST-1, graphene oxide (GO), and their composite (HKUST-1/GO) were synthesized and characterized via FTIR, XRD, SEM, BET, and TGA. The composite was evaluated for the adsorption of Astrazon Pink FG, Cationic Red 3R, and Basic Yellow 28 dyes. Batch adsorption experiments were conducted to optimize key parameters, with maximum removal observed under the following conditions: AP FG (pH 9, contact time 80 min, 30 °C), CR 3R (pH 11, contact time 80 min, 30 °C), and BY 28 (pH 10, contact time 20 min, 30 °C). The HKUST-1/GO composite exhibited high removal efficiencies of 82.35 % (AP FG), 78.73 % (CR 3R), and 75.89 % (BY 28), with corresponding maximum adsorption capacities of 7.445 mg/g, 6.42 mg/g, and 5.58 mg/g, respectively. The adsorption followed a pseudo-second-order model and well described by Freundlich, Langmuir, Halsey, and Temkin isotherms models. Thermodynamic parameters confirmed spontaneous, exothermic dyes adsorption onto HKUST-1/GO, effectively treating industrial effluent.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"50 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two-phase flow Investigation in a centrifugal rotor through particle image velocimetry

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-12 DOI: 10.1016/j.ces.2025.121360

E.M. Ofuchi, H. Stel, E. Mancilla, R.E.M. Morales

引用次数: 0

Selective recovery of neodymium from NdFeB wastes by chlorinated roasting and citric acid leaching

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-11 DOI: 10.1016/j.ces.2025.121351

Yida Li, Liping Dong, Bo Li, Yun Li, Pei Shi, Hao Yang, Nianke Zheng, Zhongqi Ren, Zhiyong Zhou

引用次数: 0

Computer-aided many-objective optimization framework via deep learning surrogate models: Promoting carbon reduction in refining processes from a life cycle perspective

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-11 DOI: 10.1016/j.ces.2025.121350

Xin Zhou, Zhibo Zhang, Huibing Shi, Deming Zhao, Yaowei Wang, Haiyan Luo, Hao Yan, Weitao Zhang, Lianying Wu, Chaohe Yang

{"title":"Computer-aided many-objective optimization framework via deep learning surrogate models: Promoting carbon reduction in refining processes from a life cycle perspective","authors":"Xin Zhou, Zhibo Zhang, Huibing Shi, Deming Zhao, Yaowei Wang, Haiyan Luo, Hao Yan, Weitao Zhang, Lianying Wu, Chaohe Yang","doi":"10.1016/j.ces.2025.121350","DOIUrl":"https://doi.org/10.1016/j.ces.2025.121350","url":null,"abstract":"This study proposed a hybrid model employing molecular-level process mechanism and data-driven surrogate optimization. We applied the hybrid model to realize the many-objective optimization for industrial chemical engineering process. The hybrid model is applied as an optimization paradigm in a novel processing route that maximizes chemicals from offshore crude oil. Molecular-level modeling procedures driven by mechanism models were employed to boost the deep learning database. Our methodology can be extended to general chemical engineering processes. A comparative analysis and evaluation by the hybrid model that is compared with the conventional direct solving model are implemented under varying operating modes. The proposed framework highlights significant arithmetic power advantages. Ulteriorly, two scenarios are assessed via employing the life cycle outlook. Results indicate that the orientation towards producing high-octane gasoline exhibits significantly 2.91% less non-renewable energy and 4.85% less CO2 emissions compared with the orientation towards maximizing chemicals.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"386 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temperature regulating the directional catalytic transfer hydrogenolysis of lignin over a in situ topologically prepared NiRu/Al2O3

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-11 DOI: 10.1016/j.ces.2025.121328

Hong-Lei Yan, Hai-Tao Wang, Sheng-Chi Xia, Wei-Dong Zhang, Zhan-Ku Li, Zhi-Ping Lei, Shi-Biao Ren, Zhi-Cai Wang, Heng-Fu Shui

{"title":"Temperature regulating the directional catalytic transfer hydrogenolysis of lignin over a in situ topologically prepared NiRu/Al2O3","authors":"Hong-Lei Yan, Hai-Tao Wang, Sheng-Chi Xia, Wei-Dong Zhang, Zhan-Ku Li, Zhi-Ping Lei, Shi-Biao Ren, Zhi-Cai Wang, Heng-Fu Shui","doi":"10.1016/j.ces.2025.121328","DOIUrl":"https://doi.org/10.1016/j.ces.2025.121328","url":null,"abstract":"Exploiting highly active heterogeneous catalysts is vital for depolymerizing lignin. Herein, a NiRu/Al2O3-IT catalyst via simple in situ topological transformation of layered double hydroxide was fabricated for catalytic transfer hydrogenolysis of enzymatic hydrolysis lignin (EHL). Model compounds containing aryl ether bonds and C–C linkages can be effectively cleaved and hydrogenated, respectively over the catalyst under mild conditions, indicating the high activity. Effect of reaction temperature on NiRu/Al2O3-IT catalytic performance for EHL hydrogenolysis and the resulting soluble portion (SP) composition was comparatively explored. The results exhibit that strong interaction between Ni and Ru and high dispersion of NiRu/Al2O3-IT are responsible for the efficient cleavage of ether bonds in EHL. The submaximum and maximum yields of SP with high monomers/dimers contents were acquired at 210 (SP210) and 300 °C (SP300), respectively. Monomeric phenols detected in SP210 accounts for 69% of total organic compounds, while considerable hydrogenated compounds were identified in SP300. In addition, more lowly condensed oxygenates with less oxygen atoms were analyzed in SP300 with FTICRMS, indicating that hydrogenation and deoxygenation were significantly enhanced with NiRu/Al2O3-IT at higher temperature, which was also proved by ultimate and 2D HSQC NMR analyses.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"129 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Highly reactive ZnFe2O4/TiO2 p-n heterojunction photocatalyst accelerates interfacial charge transfer for boosted photodegradation of ammonia nitrogen

IF 4.7 2区工程技术

Chemical Engineering Science Pub Date : 2025-02-11 DOI: 10.1016/j.ces.2025.121361

Shuwen Ke, Matin Naghizadeh, Longhui Sun, Huijia Jin, Sheying Dong, Tinglin Huang

{"title":"Highly reactive ZnFe2O4/TiO2 p-n heterojunction photocatalyst accelerates interfacial charge transfer for boosted photodegradation of ammonia nitrogen","authors":"Shuwen Ke, Matin Naghizadeh, Longhui Sun, Huijia Jin, Sheying Dong, Tinglin Huang","doi":"10.1016/j.ces.2025.121361","DOIUrl":"https://doi.org/10.1016/j.ces.2025.121361","url":null,"abstract":"Excessive ammonia nitrogen (NH4+-N) in wastewater worsens the living conditions of aquatic organisms and causes chronic poisoning of humans. In this work, the ZnFe2O4/TiO2 p-n heterojunction photocatalyst was prepared to remove NH4+-N. ZT-10 (the molar ratio of ZnFe2O4 to TiO2 was 1:10) removed 98.52 % of NH4+-N (50 mg/L) at pH 10 in 90 min with a stabilized crystal structure maintained over four cycles. The experiment results demonstrated universal adaptability to various representative contaminants in actual waters. The meaningful roles of superoxide radical (∙O2−), hydroxyl radical (∙OH), and holes (h+) in NH4+-N photoreduction were confirmed by radical trapping experiments. The photocatalytic mechanism revealed that the improvement of photodegradation activity was primarily due to the internal electric field (IEF) generated at the p-n heterojunction interface, which facilitated the precise migration and aggregation of photoinduced electrons (e-) and holes to space reaction sites, realizing the highly efficient surface catalysis of ZnFe2O4/TiO2 photocatalysts.","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"13 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143393370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0