Canadian Journal of Chemical Engineering最新文献_第10页

Numerical simulations of gas–liquid two-phase flow in a recycling cyclone with different structural features 不同结构特征的循环旋风分离器气液两相流的数值模拟

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-18 DOI: 10.1002/cjce.70042

Qixin Liu, Zhenlin Li, Shun Tian

引用次数: 0

Estimation of reaction mass viscosity for suspension polymerization process using combined Kalman filter–fuzzy model 用联合卡尔曼滤波-模糊模型估计悬浮聚合反应质量粘度

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70067

Sreeja Ettiyappadam Sreenivasan, Sanoj Kuttikothiya Parambil, Dhanya Ram Vasantha

引用次数: 0

Adsorption of 5G blue reactive dye using passion fruit pomace: Kinetics, ANN modelling, and process optimization 百香果渣对5G蓝色活性染料的吸附：动力学、ANN建模和工艺优化

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70062

Maraísa Lopes de Menezes, Gracielle Johann, Nehemias Curvelo Pereira

{"title":"Adsorption of 5G blue reactive dye using passion fruit pomace: Kinetics, ANN modelling, and process optimization","authors":"Maraísa Lopes de Menezes, Gracielle Johann, Nehemias Curvelo Pereira","doi":"10.1002/cjce.70062","DOIUrl":"https://doi.org/10.1002/cjce.70062","url":null,"abstract":"The present work reports on the use of artificial neural networks to predict the adsorption of 5G blue reactive dye (5GBRD) on yellow passion fruit pomace in a fixed-bed process and the % dye removal optimization. The samples were characterized using a thermogravimetric analyzer and scanning electron microscopy. Batch adsorption experiments were conducted to analyze the impact of the initial concentration of 5GBRD, contact time, and solution pH and temperature. For the fixed-bed adsorption experiments, the processing time (0–55 h), inlet flow rate (1–4 mL min−1), initial dye concentration (35–70 mg L−1), and bed height (15–23 cm) were evaluated. The predictive model was built using a multilayer perceptron machine learning (artificial neural network [ANN]) model, and the process optimization used the dividing rectangles (DIRECT) algorithm. The best ANN model architecture was 4–4–1 and the accuracy of testing data were as follows: coefficient of determination ~0.97, mean squared error ~0.004, mean average error ~0.04, and root mean square error ~0.06. The DIRECT optimization algorithm indicated that the maximum % dye removal is achieved at 43.8 h, 3.7 mL min−1, 66 mg L−1, and 19.3 cm. The ANN model and DIRECT optimization algorithm are valuable tools for practical applications in adsorption process modelling and optimization.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"104 3","pages":"1283-1297"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.70062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison between the performances of PmPD-PVA membrane synthesized by ammonium persulphate with ferric chloride oxidants used for Congo red dye removal 过硫酸铵与氯化铁氧化合成PmPD-PVA膜去除刚果红的性能比较

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70069

Dounia Beqqour, Doha El Machtani Idrissi, Sanaa Adlane, Manal Idgharnane, Jamyla Naim, Mounir Belbahloul, Hayat Loukili, Mohamed Ouammou, Jamal Bennazha, Abdellah Aaddane, Soad Youssefi, Saad Alami Younssi

{"title":"Comparison between the performances of PmPD-PVA membrane synthesized by ammonium persulphate with ferric chloride oxidants used for Congo red dye removal","authors":"Dounia Beqqour, Doha El Machtani Idrissi, Sanaa Adlane, Manal Idgharnane, Jamyla Naim, Mounir Belbahloul, Hayat Loukili, Mohamed Ouammou, Jamal Bennazha, Abdellah Aaddane, Soad Youssefi, Saad Alami Younssi","doi":"10.1002/cjce.70069","DOIUrl":"10.1002/cjce.70069","url":null,"abstract":"This work focused on investigating the effect of oxidants and their interaction with the monomer (m-phenylenediamine) (mPD) on performance of the resulting composite membrane. The synthesized poly(m-phenylenediamine) (PmPD) and poly(vinyl alcohol) (PVA) were deposited onto flat ceramic support made from pozzolan and micronized phosphate. The difference between the two composite membranes is the oxidant used for the chemical polymerization of mPD monomer. The PmPD used to develop the first membrane in this work was synthesized using ammonium persulphate (APS) oxidant. The second membrane was developed in a previous study using ferric chloride (FeCl3) as oxidant. Although PmPD-based membranes have been explored, few studies have systematically compared the influence of different oxidants on membrane performance, especially for dye removal. This study addresses that gap by evaluating how APS and FeCl3 affect membrane characteristics and dye rejection efficiency. The effect of oxidants on membrane properties such as microstructure, wettability, permeability, and filtration performances was investigated. The composite membranes were characterized by Fourier transform infrared spectroscopy, scanning electron microscopy, energy dispersive X-ray analysis, and X-ray diffraction technique. The morphology analysis shows that using APS leads to the formation of uniform microparticles compared to FeCl3 oxidant. It was proven that the use of APS in the polymerization of the mPD enhances the rejection of the membrane accompanied by with a decrease in permeate flux. It removed up to 99.7% of Congo red under optimal conditions (ΔP = 3 bar, C = 600, and pH = 4).","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"104 3","pages":"1463-1474"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146162659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Fault diagnosis of industrial processes using dynamic global–local preserving projection and genetic algorithm-based feature selection 基于动态全局局部保持投影和遗传算法特征选择的工业过程故障诊断

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70071

Chonggao Hu, Jianjun Bai, Hongbo Zou

{"title":"Fault diagnosis of industrial processes using dynamic global–local preserving projection and genetic algorithm-based feature selection","authors":"Chonggao Hu, Jianjun Bai, Hongbo Zou","doi":"10.1002/cjce.70071","DOIUrl":"https://doi.org/10.1002/cjce.70071","url":null,"abstract":"In the realm of industrial production, where the scale is continuously expanding, chemical process variables often exhibit complex characteristics such as nonlinearity, multi-modality, and dynamic behaviour. Traditional fault diagnosis methods based on multivariate statistics, like principal component analysis (PCA), generally operate under the assumption that current values are independent of historical statistical values. Additionally, most of these fault diagnosis algorithms focus on feature extraction, which, despite reducing the number of features, often results in a loss of the original data's characteristics. To address this issue, the fault diagnosis and monitoring algorithm introduced in this study integrates genetic algorithm (GA)-based feature selection with dynamic global–local preserving projection (DGLPP). This approach not only accounts for the dynamic nature of multivariate data but also reduces dimensions while retaining the original features of the data. The effectiveness of this methodology is demonstrated through comparative experiments using the Tennessee Eastman process dataset. This paper compares the proposed model with four existing models: dynamic principal component analysis (DPCA), global–local preserving projection (GLPP), DGLPP, and GA-DPCA and establishes a significant enhancement in performance with the proposed method.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"104 3","pages":"1334-1351"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Advanced adaptive neuro-fuzzy inference system controller for optimizing pH neutralization process control 用于pH中和过程优化控制的先进自适应神经模糊推理系统控制器

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70053

Ramesh Suguna, Baldwin Immanuel Thankaraj, Usha Kothandaraman, Muruganandham Jeevananthan

{"title":"Advanced adaptive neuro-fuzzy inference system controller for optimizing pH neutralization process control","authors":"Ramesh Suguna, Baldwin Immanuel Thankaraj, Usha Kothandaraman, Muruganandham Jeevananthan","doi":"10.1002/cjce.70053","DOIUrl":"https://doi.org/10.1002/cjce.70053","url":null,"abstract":"The heavy reliance of modern industries on chemical processes to facilitate the mass production of cosmetics, beverages, food products, and pharmaceuticals has in turn contributed to the heightened significance of pH value regulation that supports product quality assurance. However, the process of pH control is difficult due to its highly sensitive, dynamic, and nonlinear nature. The conventional control approaches like proportional integral derivative (PID) and proportional integral (PI) controller are inept at handling the complex process of pH control. Thereby, in this work adaptive neuro-fuzzy inference system (ANFIS), which combines the accuracy of fuzzy inference system (FIS) and learning capability of adaptive neural network (ANN) is applied for pH process regulation. Moreover, the controller operation is improved further with the application of chicken swarm optimization (CSO) for tuning its input parameters. The primary goal is to accomplish effective load regulation and appropriate set-point tracking using smoother control signal. According to the derived simulation outcomes, it is observed that both the industrial and standard structure of the proposed chicken swarm (CS)-ANFIS controller outperforms other existing control techniques with better disturbance rejection, set-point tracking and excellent sensitivity to change in model parameters.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"104 2","pages":"864-885"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145909166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Polypropylene hollow fibre membranes treated with grafted-aminated poly (glycidyl methacrylate) in the gas mixture separation 聚丙烯中空纤维膜经接枝胺化聚甲基丙烯酸缩水甘油酯处理后在气体混合物中分离

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70046

Soheila Fallahfard, Ali Haghigh Asl, Rezvan Torkaman, Mehdi Asadollahzadeh

{"title":"Polypropylene hollow fibre membranes treated with grafted-aminated poly (glycidyl methacrylate) in the gas mixture separation","authors":"Soheila Fallahfard, Ali Haghigh Asl, Rezvan Torkaman, Mehdi Asadollahzadeh","doi":"10.1002/cjce.70046","DOIUrl":"https://doi.org/10.1002/cjce.70046","url":null,"abstract":"Bonding polymerization is a straightforward and efficient approach for enhancing the quality of adsorbents and improving the properties of polymers and their bonding chains. The objective of this research was to enhance the ability of polypropylene hollow fibres to adsorb CO2. The surface of the adsorbent was modified using gamma irradiation in combination with glycidyl methacrylate and different amines, such as ethanolamine, triethylamine, and diethylamine. The efficacy of the modification process was evaluated by altering the graft variables, such as monomer concentration and gamma dose rate to determine the grafting degree (GD, %). Similarly, the amination yield (DA, %) was controlled through changes in the amine parameters, including amine type and concentration. Scanning electron microscope (SEM) techniques were used to examine the morphology of the modified hollow fibre membrane, while Fourier transform infrared spectroscopy (FTIR) was utilized to analyze the chemical structures of the fibres. Subsequently, the impact of gas flow intensity at the CO2 inlet, with flow rates of 50, 100, and 150 cm3/min, and concentrations of 5%, 10%, and 15%, was investigated. The adsorption rate decreased significantly with an increase in gas flow rate at the inlet due to the short contact time and quick saturation. Additionally, the adsorption rate decreases notably with the increment of CO2 concentration. The findings of this study indicate that the utilization of radiation resulted in the creation of a unique adsorbent with exceptional adsorption capabilities. Furthermore, this adsorbent was effectively recognized during the process of carbon dioxide adsorption.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"104 2","pages":"985-998"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145905126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Fuzzy logic-enhanced sliding mode control of Belousov–Zhabotinsky reaction dynamics Belousov-Zhabotinsky反应动力学的模糊逻辑增强滑模控制

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70044

Negin Ramezani Pargami, Sohrab Ali Ghorbanian, Hooman Fatoorehchi

{"title":"Fuzzy logic-enhanced sliding mode control of Belousov–Zhabotinsky reaction dynamics","authors":"Negin Ramezani Pargami, Sohrab Ali Ghorbanian, Hooman Fatoorehchi","doi":"10.1002/cjce.70044","DOIUrl":"https://doi.org/10.1002/cjce.70044","url":null,"abstract":"This study introduces two novel strategies for regulating the chaotic dynamics of the Belousov–Zhabotinsky (BZ) reaction: a smoothed sliding mode controller (SMC-Proposed), designed to reduce chattering while preserving robustness, and an adaptive fuzzy sliding mode controller (SMC-Fuzzy), applied to the BZ system for the first time. These approaches are compared against a classical sign-based sliding mode controller (SMC-sign) in terms of tracking accuracy, convergence speed, and chattering suppression. Simulation results show that while SMC-sign achieves the lowest tracking error (RMSE = 0.00001), it produces severe chattering (973.4 Hz). In contrast, the SMC-Fuzzy controller reduces chattering to 79.2 Hz, with good accuracy (RMSE = 0.00107) and faster stabilization. The SMC-Proposed model offers a balanced trade-off, achieving moderate accuracy while significantly reducing high-frequency energy without relying on fuzzy logic. Frequency-domain analysis using power spectral density (PSD) confirms the chattering suppression capability of both proposed methods. These findings highlight the practical advantages of the SMC-Fuzzy and smoothed SMC controllers for robust and efficient control of chaotic chemical systems.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"104 2","pages":"781-795"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145909164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Application of machine learning in modelling gas dispersion coefficients for hydrogen storage in porous media 机器学习在多孔介质储氢气体分散系数建模中的应用

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70064

Ali Akbari

{"title":"Application of machine learning in modelling gas dispersion coefficients for hydrogen storage in porous media","authors":"Ali Akbari","doi":"10.1002/cjce.70064","DOIUrl":"10.1002/cjce.70064","url":null,"abstract":"Underground hydrogen storage (UHS) in geological formations is recognized as a promising solution for managing renewable energy intermittency and supporting large-scale energy systems. However, the mixing of hydrogen with cushion gases such as methane (CH4), nitrogen (N2), and carbon dioxide (CO2) remains a critical challenge, directly affecting storage efficiency and gas purity. The gas dispersion coefficient (KL) plays a fundamental role in governing this mixing behaviour, yet its accurate prediction under realistic reservoir conditions has been limited in previous studies. This research presents a novel approach by integrating core flooding experiments with advanced machine learning (ML) techniques to estimate KL values with high precision. Unlike earlier studies that primarily relied on analytical models or limited experimental data, this work combines systematic ML modelling with extensive laboratory data to capture the complex, nonlinear nature of gas dispersion in porous media. The results indicate that support vector regression (SVR) provides superior predictive performance for all tested gases. Specifically, for CH4, N2, and CO2, the SVR model achieved coefficient of determination (R2) values of 0.9968, 0.9977, and 0.9973, respectively, along with low mean absolute deviation (MAD) values of 0.014, 0.008, and 0.013, and root mean square error (RMSE) values of 0.017, 0.011, and 0.016. These findings provide valuable insights for optimizing cushion gas selection and improving the accuracy of UHS system design, ultimately enhancing storage reliability and contributing to more efficient and sustainable large-scale hydrogen storage.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"104 3","pages":"1137-1152"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.70064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146154805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RSM and ANN-based optimization of reactive extraction of propionic acid using tributyl phosphate with both conventional and natural diluents 基于RSM和人工神经网络的常规和天然稀释剂磷酸三丁酯反应萃取丙酸优化研究

IF 1.9 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2025-08-14 DOI: 10.1002/cjce.70072

Vishnu P. Yadav, Anil Kumar Chandrakar, Nishi Yadav

{"title":"RSM and ANN-based optimization of reactive extraction of propionic acid using tributyl phosphate with both conventional and natural diluents","authors":"Vishnu P. Yadav, Anil Kumar Chandrakar, Nishi Yadav","doi":"10.1002/cjce.70072","DOIUrl":"https://doi.org/10.1002/cjce.70072","url":null,"abstract":"Propionic acid (PA) has a wide application in various food and chemical industries. In the present work, the reactive extraction of PA from aqueous solutions is done with eco-friendly natural diluent alsi oil and harmful conventional diluents butanol and benzene, and the tri-n-butyl phosphate (TBP) as extractant. Design of experiments was done for the physical and reactive extraction using Box–Behnken design with response surface methodology (RSM). The effect of different factors, such as temperature, initial PA concentration, diluents, extractant, and aqueous-to-organic phase ratio, was analyzed. In the physical extraction, the extraction efficiency achieved 75.57% for butanol, 29.91% for benzene, and 47.57% for alsi oil. In the reactive extraction method, the maximum extraction efficiency of 96.89%, 92.54%, and 92.37% for TBP-butanol, TBP-benzene, and TBP-alsi systems, respectively, was achieved. For reactive extraction, optimal conditions were 308 K, 0.1 mol/L initial concentration, a 1:1 volume ratio, and 25% extractant composition predicted by the RSM method and the artificial neural network (ANN) optimization method. ANN shows a better regression parameter (R2 = 0.962) than RSM. The higher percentage of extraction efficiency was achieved with conventional diluent butanol; however, the harmless natural diluent alsi oil shows better results, which makes it an alternative to hazardous conventional solvents in the industrial extraction process. These results can help design efficient extraction methods for recovering the PA from the aqueous wastewater stream. The extraction efficiency was achieved as TBP-butanol > TBP-benzene > TBP-alsi oil.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 12","pages":"5785-5797"},"PeriodicalIF":1.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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