Canadian Journal of Chemical Engineering最新文献

{"title":"Issue Highlights","authors":"","doi":"10.1002/cjce.25323","DOIUrl":"https://doi.org/10.1002/cjce.25323","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"983"},"PeriodicalIF":1.6,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111304","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}

{"title":"Issue Highlights","authors":"","doi":"10.1002/cjce.25321","DOIUrl":"https://doi.org/10.1002/cjce.25321","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 2","pages":"487"},"PeriodicalIF":1.6,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112965","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}

{"title":"Reliable modelling of the sulphur properties to calculate the process parameters of the Claus sulphur recovery plant","authors":"Mohammad M. Ghiasi,&nbsp;Sohrab Zendehboudi,&nbsp;Amir H. Mohammadi,&nbsp;Mahdi Nikkhahi,&nbsp;Ali Lohi,&nbsp;Ioannis Chatzis","doi":"10.1002/cjce.25573","DOIUrl":"https://doi.org/10.1002/cjce.25573","url":null,"abstract":"<p>In order to handle the overwhelming effects of the removed hydrogen sulphide (H₂S) from natural gas and industrial waste gases on the environment, H₂S can be converted to elemental sulphur. Among the available processes for sulphur recovery, the most widely employed process is a modified Claus process. In this work, first, least square version of support vector machine (LS-SVM) approach is utilized for determining the properties of sulphur including heat of vaporization, heat of condensation (<i>S</i>₆, <i>S</i>₈), heat of dissociation (<i>S</i>₆, <i>S</i>₈), and heat capacity of equilibrium sulphur vapours as a function of temperature. An illustrative example is given to show the usefulness of the presented computer-based models with two parameters for designing and operation of the Claus sulphur recovery unit (SRU). According to the error analysis results, predicted values by the proposed intelligent models are in excellent agreement with the reported data in the literature for the aforementioned sulphur properties where the coefficient of determination (<i>R</i>²) is higher than 0.99 for all developed models. The average absolute relative deviation percent (%AARD) is less than 1.3 while predicting the heat capacity of equilibrium sulphur vapours. Other proposed models' predictions show less than 0.2% AARD from the target values. In addition, a mathematical algorithm on the basis of the Leverage approach is proposed to define the domain of applicability of the developed LS-SVM models. It was found that the presented models are statistically valid and the employed data points for developing the models are within the range of their applicability.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"986-1003"},"PeriodicalIF":1.6,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115907","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}

{"title":"Preface to the special issue section: Artificial intelligence and machine learning applications in chemical engineering","authors":"Simant Upreti","doi":"10.1002/cjce.25572","DOIUrl":"https://doi.org/10.1002/cjce.25572","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"984-985"},"PeriodicalIF":1.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113701","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}

{"title":"Issue Highlights","authors":"","doi":"10.1002/cjce.25319","DOIUrl":"https://doi.org/10.1002/cjce.25319","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 1","pages":"3"},"PeriodicalIF":1.6,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860159","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}

{"title":"Top 15 articles published in the CJCE in 2024","authors":"João B. P. Soares","doi":"10.1002/cjce.25565","DOIUrl":"https://doi.org/10.1002/cjce.25565","url":null,"abstract":"&lt;p&gt;It gives me great pleasure to write the editorial of this virtual issue of the &lt;i&gt;CJCE&lt;/i&gt;, which collects 15 articles published in 2024 with the highest number of full-text views. This is a great opportunity to thank our authors for their outstanding contributions to the CJCE and also to ‘take the pulse’ of our readers and find out what topics they considered more relevant in 2024.&lt;/p&gt;&lt;p&gt;These 15 articles cover many areas of chemical engineering—composites, carbon capture, circular-plastic economy, polymeric materials, experimental methods in chemical engineering, microfluidic devices, risk and safety, oil and gas, and educational aspects related to the future chemical engineering—and showcase the fascinating breadth of our profession.&lt;/p&gt;&lt;p&gt;The first article in this virtual special issue is part of the &lt;i&gt;Conversations in Chemical Engineering&lt;/i&gt; special series. This series is dear to me because it attempts to change the way we write scientific papers in order to make them more accessible to a broader readership, not only to the conventional cadre of specialists. As I wrote not too long ago in an article entitled “Is It Time to Change How We Write Scientific Articles?,” ‘The only correct way to write an article is to express your ideas so clearly that after reading it, your readers would say, “Why didn't I think of this before?”’&lt;sup&gt;[&lt;/sup&gt;&lt;span&gt;&lt;sup&gt;1&lt;/sup&gt;&lt;/span&gt;&lt;sup&gt;]&lt;/sup&gt;&lt;/p&gt;&lt;p&gt;In his contribution to the &lt;i&gt;Conversations in Chemical Engineering&lt;/i&gt; special series, now included in this virtual issue, De France (Queen's University) captures the attention of his readers in the first sentence of his article on cellulose nanocrystal composites by asking them, ‘Just like jumbo shrimp, “liquid crystal” is an oxymoron—how can something be both a delicate, shapeless liquid and a robust, solid crystal?’&lt;sup&gt;[&lt;/sup&gt;&lt;span&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;/span&gt;&lt;sup&gt;]&lt;/sup&gt; In his comprehensive and accessible review, the author introduces the basics of liquid crystals and self-assembly, and explains the main approaches used to form cellulose nanocrystals (CNC) based composite films, such as co-assembly, templating, and post-processing. He finishes his paper with his uniquely Canadian perspective on the current status, future prospects, and major challenges associated with the development of CNC-based chiral nematic composite materials.&lt;/p&gt;&lt;p&gt;Carbon capture—echoing our modern anxieties about climate change—has also been in the minds of our readers. In the second article in this virtual issue, Usas and Ricardez-Sandoval (University of Waterloo) review the state of CO&lt;sub&gt;2&lt;/sub&gt; capture in Canada,&lt;sup&gt;[&lt;/sup&gt;&lt;span&gt;&lt;sup&gt;3&lt;/sup&gt;&lt;/span&gt;&lt;sup&gt;]&lt;/sup&gt; addressing the measures our nation is taking to address sustainable decarbonization in the context of carbon capture. The authors also suggest a new optimal framework for carbon capture implementation that accounts for environmental and social considerations.&lt;/p&gt;&lt;p&gt;When we think about sustainability these days, one of the first ","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 2","pages":"488-491"},"PeriodicalIF":1.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25565","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117513","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}

{"title":"Artificial intelligence and machine learning at various stages and scales of process systems engineering","authors":"Karthik Srinivasan,&nbsp;Anjana Puliyanda,&nbsp;Devavrat Thosar,&nbsp;Abhijit Bhakte,&nbsp;Kuldeep Singh,&nbsp;Prince Addo,&nbsp;Rajagopalan Srinivasan,&nbsp;Vinay Prasad","doi":"10.1002/cjce.25525","DOIUrl":"https://doi.org/10.1002/cjce.25525","url":null,"abstract":"<p>We review the utility and application of artificial intelligence (AI) and machine learning (ML) at various process scales in this work, from molecules and reactions to materials to processes, plants, and supply chains; furthermore, we highlight whether the application is at the design or operational stage of the process. In particular, we focus on the distinct representational frameworks employed at the various scales and the physics (equivariance, additivity, injectivity, connectivity, hierarchy, and heterogeneity) they capture. We also review AI techniques and frameworks important in process systems, including hybrid AI modelling, human-AI collaborations, and generative AI techniques. In hybrid AI models, we emphasize the importance of hyperparameter tuning, especially in the case of physics-informed regularization. We highlight the importance of studying human-AI interactions, especially in the context of automation, and distinguish the features of human-complements-AI systems from those of AI-complements-human systems. Of particular importance in the AI-complements-human framework are model explanations, including rule-based explanation, explanation-by-example, explanation-by-simplification, visualization, and feature relevance. Generative AI methods are becoming increasingly relevant in process systems engineering, especially in contexts that do not belong to ‘big data’, primarily due to the lack of high quality labelled data. We highlight the use of generative AI methods including generative adversarial networks, graph neural networks, and large language models/transformers along with non-traditional process data (images, audio, and text).</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"1004-1035"},"PeriodicalIF":1.6,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112677","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}

{"title":"Issue Highlights","authors":"","doi":"10.1002/cjce.25003","DOIUrl":"https://doi.org/10.1002/cjce.25003","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 12","pages":"4071"},"PeriodicalIF":1.6,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641360","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}

{"title":"Issue Highlights","authors":"","doi":"10.1002/cjce.25001","DOIUrl":"https://doi.org/10.1002/cjce.25001","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 11","pages":"3675"},"PeriodicalIF":1.6,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142429487","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}

{"title":"Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization","authors":"Carine Menezes Rebello,&nbsp;Erbet Almeida Costa,&nbsp;Antonio Santos Sánchez,&nbsp;Fredy Vides,&nbsp;Idelfonso B. R. Nogueira","doi":"10.1002/cjce.25512","DOIUrl":"https://doi.org/10.1002/cjce.25512","url":null,"abstract":"<p>Surrogate-based optimization has gained significant traction in several engineering fields, given its ability to handle complex systems without significant computational burdens. However, surrogate models are approximations and may have limitations, including the possibility of artificial minima. The main contribution of this work is the derivation of a robustness test that guarantees the optimality of surrogate-based optimization. The derivation of this metric is based on the universal approximation theorem. The full framework proposed in this work is also composed by a sampling sizing methodology to randomly select samples within a feasible operating region (FOR) resulting from the optimization population, reducing the computational cost of the analysis and avoiding biases in the robustness calculation. The applicability and importance of this methodology are demonstrated through a case study of a complex chemical process—a pressure swing adsorption (PSA) unit—which presents a high computational cost to solve optimization problems. The results highlight the need and importance of evaluating the optimality of surrogate-based optimization schemes.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"1036-1059"},"PeriodicalIF":1.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25512","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118994","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}