Reviews in Chemical Engineering最新文献

Accelerating process control and optimization via machine learning

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-03-12 DOI: 10.1515/revce-2024-0060

Ilias Mitrai, Prodromos Daoutidis

引用次数: 0

Identifying gaps in practical use of epoxy foam/aerogels: review - solutions and prospects

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-03-03 DOI: 10.1515/revce-2024-0044

Tomy Muringayil Joseph, Seitkhan Azat, Ehsan Kianfar, Kunnelveli S. Joshy, Omid Moini Jazani, Amin Esmaeili, Zahed Ahmadi, Józef Haponiuk, Sabu Thomas

{"title":"Identifying gaps in practical use of epoxy foam/aerogels: review - solutions and prospects","authors":"Tomy Muringayil Joseph, Seitkhan Azat, Ehsan Kianfar, Kunnelveli S. Joshy, Omid Moini Jazani, Amin Esmaeili, Zahed Ahmadi, Józef Haponiuk, Sabu Thomas","doi":"10.1515/revce-2024-0044","DOIUrl":"https://doi.org/10.1515/revce-2024-0044","url":null,"abstract":"Epoxy foam/aerogel materials (EP-AGs) have potential in the aerospace, construction, and energy industries, allowing the development of lightweight high-performance products for a wide range of applications. Research interest in developing EP-AGs is increasing as it has the potential to create greener and more sustainable materials for making various products. Several commercial applications of EP-AGs and techniques for creating, processing, and drying them have already been reported. The introduction of EP-AGs into value-added materials is one of the most promising options but suffers from a lack of knowledge about the relationships between microstructure and properties. The current obstacles to their use in the industrial sector and for applications and challenges related to factory scale-up are also taken into account. EP-AGs are hindered by critical gaps in applicational and processing complexity, such as scaling up from laboratory to large-scale production, optimizing synthesis and processing techniques, and developing standardized testing protocols. The review focuses on the processing complexities and further difficulties associated with EP-AGs to improve casting burdens, cost-effectiveness, and accessibility in various applications. This review also examines the challenges in synthesizing EP-AGs used to make special materials, their practices, and the technological barriers one would face.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"24 1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143538503","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}

引用次数: 0

Applications of ionizing irradiation in oil industry: a review

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-02-06 DOI: 10.1515/revce-2024-0072

Ali Taheri, Seyed Pezhman Shirmardi

引用次数: 0

Particle dynamics in optical tweezer systems 光学镊子系统中的粒子动力学

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2025-01-11 DOI: 10.1515/revce-2024-0052

Xinxin Wu, Yueyan Liu, Shangzhong Jin, Mingzhou Yu

{"title":"Particle dynamics in optical tweezer systems","authors":"Xinxin Wu, Yueyan Liu, Shangzhong Jin, Mingzhou Yu","doi":"10.1515/revce-2024-0052","DOIUrl":"https://doi.org/10.1515/revce-2024-0052","url":null,"abstract":"The last four decades have witnessed the flourished harvesting in optical tweezers technology, leading to the development of a number of mainstream and emerging disciplines, particularly in physico-chemical processes. In recent years, with the advancement of optical tweezers technology, the study of particle dynamics has been further developed and enhanced. This review presents an overview of the research progress in optical tweezers from the perspective of particle dynamics. It cites relevant theoretical models and mathematical formulas, delves into the principles of mechanics involved in optical tweezers technology, and analyzes the coupling of the particle force field to the optical field in a continuous medium. Through a review of the open literature, this paper highlights historical advances in research on the dynamical behavior of particles since the invention of optical tweezers, including diffusion, aggregation, collisions, and fluid motion. Furthermore, it shows some specific research cases and experimental results in recent years to demonstrate the practical application effects of the combination of particle dynamics and optical tweezers technology in several fields. Finally, it discusses the challenges and constraints facing the field of combining particle technology with optical tweezers technology and prospects potential future research directions and improvements.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"6 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142961548","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}

引用次数: 0

A systematic review on the application of machine learning in carbon dioxide absorption in amine-related solvents 机器学习在胺类溶剂中二氧化碳吸收中的应用综述

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-30 DOI: 10.1515/revce-2024-0047

Jun Hui Law, Farihahusnah Hussin, Muhammed Basheer Jasser, Mohamed Kheireddine Aroua

{"title":"A systematic review on the application of machine learning in carbon dioxide absorption in amine-related solvents","authors":"Jun Hui Law, Farihahusnah Hussin, Muhammed Basheer Jasser, Mohamed Kheireddine Aroua","doi":"10.1515/revce-2024-0047","DOIUrl":"https://doi.org/10.1515/revce-2024-0047","url":null,"abstract":"Amine absorption has been regarded as an efficient solution in reducing the atmospheric carbon dioxide (CO2) concentration. Machine learning (ML) models are applied in the CO2 capture field to predict the CO2 solubility in amine solvents. Although there are other similar reviews, this systematic review presents a more comprehensive review on the ML models and their training algorithms applied to predict CO2 solubility in amine-related solvents in the past 10 years. A total of 55 articles are collected from Scopus, ScienceDirect and Web of Science following Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines. Neural network is the most frequently applied model while committee machine intelligence system is the most accurate model. However, relatively the same optimisation algorithm was applied for each type of ML models. Genetic algorithm has been applied in most of the discussed ML models, yet limited studies were found. The advantages and limitations of each ML models are discussed. The findings of this review could provide a database of the data points for future research, as well as provide information to future researchers for studying ML application in amine absorption, including but not limited to implementation of different optimisation algorithms, structure optimisation and larger scale applications.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"26 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904787","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}

引用次数: 0

Uncertainty quantification and propagation in atomistic machine learning 原子机器学习中的不确定性量化与传播

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-30 DOI: 10.1515/revce-2024-0028

Jin Dai, Santosh Adhikari, Mingjian Wen

{"title":"Uncertainty quantification and propagation in atomistic machine learning","authors":"Jin Dai, Santosh Adhikari, Mingjian Wen","doi":"10.1515/revce-2024-0028","DOIUrl":"https://doi.org/10.1515/revce-2024-0028","url":null,"abstract":"Machine learning (ML) offers promising new approaches to tackle complex problems and has been increasingly adopted in chemical and materials sciences. In general, ML models employ generic mathematical functions and attempt to learn essential physics and chemistry from large amounts of data. The reliability of predictions, however, is often not guaranteed, particularly for out-of-distribution data, due to the limited physical or chemical principles in the functional form. Therefore, it is critical to quantify the uncertainty in ML predictions and understand its propagation to downstream chemical and materials applications. This review examines existing uncertainty quantification (UQ) and uncertainty propagation (UP) methods for atomistic ML under the framework of probabilistic modeling. We first categorize the UQ methods and explain the similarities and differences among them. Following this, performance metrics for evaluating their accuracy, precision, calibration, and efficiency are presented, along with techniques for recalibration. These metrics are then applied to survey existing UQ benchmark studies that use molecular and materials datasets. Furthermore, we discuss UP methods to propagate uncertainty in widely used materials and chemical simulation techniques, such as molecular dynamics and microkinetic modeling. We conclude with remarks on the challenges and opportunities of UQ and UP in atomistic ML.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"64 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142902065","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}

引用次数: 0

Certifications and testing methods for biodegradable plastics 生物可降解塑料的认证和测试方法

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-29 DOI: 10.1515/revce-2024-0061

WooSeok Lee, JaeHyeon Kim, Tai Gyu Lee

引用次数: 0

Gas–liquid upflow packed bed reactors: a comprehensive review focused on heat transport 气液上流式填料床反应器：以热传输为重点的综合评述

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-14 DOI: 10.1515/revce-2024-0035

María J. Taulamet, Osvaldo M. Martínez, Guillermo F. Barreto, Néstor J. Mariani

{"title":"Gas–liquid upflow packed bed reactors: a comprehensive review focused on heat transport","authors":"María J. Taulamet, Osvaldo M. Martínez, Guillermo F. Barreto, Néstor J. Mariani","doi":"10.1515/revce-2024-0035","DOIUrl":"https://doi.org/10.1515/revce-2024-0035","url":null,"abstract":"A review of the available information about the packed bed reactors with cocurrent upflow of gas and liquid (UFRs), particularly focused on heat transfer with an external medium through the container wall, was undertaken in this contribution. The typical use of such reactors is summarized as well as some novel applications. A brief discussion about fluid-dynamics is also made due to its strong effect on the transport processes. Experimental setup, available data, and literature correlations of heat transfer parameters are thoroughly reviewed. From a critical analysis of the experimental data, a refined database has been built, which allows comparing the performance of the existing correlations for the two parameters of the extensively employed two-dimensional pseudo-homogeneous plug flow model (i.e., effective radial thermal conductivity and wall heat transfer coefficient). In addition, new correlations for these parameters have been developed, which allow improving the actual predictive capabilities. Finally, the global heat transfer between the bed and the wall was comparatively analyzed for upflow (UFRs) and downflow (TBRs) gas–liquid packed bed reactors.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820943","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}

引用次数: 0

A tutorial review of machine learning-based model predictive control methods 基于机器学习的模型预测控制方法教程综述

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-12-10 DOI: 10.1515/revce-2024-0055

Zhe Wu, Panagiotis D. Christofides, Wanlu Wu, Yujia Wang, Fahim Abdullah, Aisha Alnajdi, Yash Kadakia

引用次数: 0

Research progress of jet washing technology and its exploratory decoking application in delayed coking process 射流洗涤技术的研究进展及其在延迟焦化过程中的探索性除焦应用

IF 4.7 3区工程技术

Reviews in Chemical Engineering Pub Date : 2024-11-30 DOI: 10.1515/revce-2024-0030

Fuwei Lv, Bingjie Wang, Shijie Yan, Yong Zhu, Qifan Yu, Xiaoyong Yang

{"title":"Research progress of jet washing technology and its exploratory decoking application in delayed coking process","authors":"Fuwei Lv, Bingjie Wang, Shijie Yan, Yong Zhu, Qifan Yu, Xiaoyong Yang","doi":"10.1515/revce-2024-0030","DOIUrl":"https://doi.org/10.1515/revce-2024-0030","url":null,"abstract":"Considering the distinctive features of the delayed coking process and taking into account various particulate matter control technologies, the feasibility of using jet washing technology to remove coke powder from process gas is explored. The performance of scrubbers is heavily reliant on the quality of atomization, which in turn is influenced by liquid jet breakup. Due to the multiple interactions of various instabilities involved in jet breakup, as well as the short duration and small scale of this process, it is challenging to observe experimentally. Therefore, the specific fluid dynamics processes are not yet clear. In recent years, extensive research has been conducted on research methods, jet breakup modes, jet breakup characteristics, and jet breakup mechanisms. However, there is a lack of comprehensive review work summarizing these research advancements. This article aims to provide a comprehensive overview to facilitate jet scrubber designers’ systematic understanding of progress in jet breakup research. Furthermore, it discusses the significance of studying confined spaces for jet breakup with the objective of providing valuable insights for designing and optimizing delayed coker.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"26 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756094","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}

引用次数: 0