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IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2026-02-02 DOI: 10.1515/revce-2026-frontmatter2
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引用次数: 0
Frontmatter Frontmatter
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2026-01-03 DOI: 10.1515/revce-2026-frontmatter1
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引用次数: 0
Assessment techniques for scale inhibitors performance in laboratory and real field: a comprehensive review 实验室和实际领域阻垢剂性能评价技术综述
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-12-24 DOI: 10.1515/revce-2025-0035
Dalia E. Abd-El-Khaled, Mohamed El housse, Abdallah Hadfi, Ali Driouiche
The deposition of inorganic scales is a significant problem in the industrial sector and desalination plants. Due to the crucial importance of injecting chemical inhibitors to mitigate mineral scaling, several testing techniques have been developed to evaluate their performance. The evaluation methods used can be classified as electrochemical, non-electrochemical, or static and dynamic. However, to date, there has been no comprehensive review of the literature that exhaustively groups and compares these different approaches, highlighting their advantages, limitations, and complementarity. To fill this gap, this review outlines these evaluation methods and explores their suitability and limitations in different systems. Furthermore, the review examines whether laboratory evaluation techniques are suitable for use in the field. It covers the main methods established thus far, focusing on determining whether they represent a scaling formation process that occurs in real life. This study concluded that the type of scales precipitated and the field conditions influence the selection of the optimal evaluation method. Furthermore, the use of multiple experiments yields complementary information for a comprehensive study of scale crystallization and inhibition.
无机水垢的沉积是工业部门和海水淡化厂面临的一个重大问题。由于注入化学抑制剂来减轻矿物结垢的重要性,已经开发了几种测试技术来评估它们的性能。所使用的评价方法可分为电化学、非电化学或静态和动态。然而,到目前为止,还没有全面的文献综述,详尽地对这些不同的方法进行分组和比较,突出它们的优势、局限性和互补性。为了填补这一空白,本文概述了这些评估方法,并探讨了它们在不同系统中的适用性和局限性。此外,本文审查了实验室评价技术是否适合在实地使用。它涵盖了迄今为止建立的主要方法,重点是确定它们是否代表现实生活中发生的结垢形成过程。研究结果表明,降水尺度类型和野外条件影响了最佳评价方法的选择。此外,多个实验的使用为全面研究水垢结晶和抑制作用提供了补充信息。
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引用次数: 0
Engineering insights into thermal plasma processing for plastic waste management: a review 热等离子体处理在塑料废物管理中的工程应用综述
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-11-28 DOI: 10.1515/revce-2025-0012
Karan Sharma, Manishkumar D. Yadav, Abhishek Sharma, Subhankar Bhandari, Srikumar Ghorui, Jyeshtharaj B. Joshi
The rapid accumulation of plastic waste due to its non-biodegradability and increasing global consumption presents a significant environmental challenge. Conventional thermochemical waste management techniques, such as pyrolysis and gasification, offer partial solutions but suffer from secondary pollutant formation, inefficiencies, and scalability issues. Thermal plasma-assisted processes, operating at extreme temperatures of 1,500–5,000 °C, present a promising alternative by leveraging high-energy plasma arcs to achieve complete waste destruction, converting plastic into syngas and inert slag while minimizing hazardous by-products like dioxins and tars. Despite being studied over decades, the commercialization of plasma technologies remains limited due to high capital costs, proprietary technology barriers, and suboptimal reactor designs. The scalability of these systems depends on optimizing energy efficiency and feedstock adaptability, which can be addressed through advanced reactor design. This review systematically evaluates thermal plasma technology for plastic waste treatment through chemical engineering analysis of plasma-specific reaction kinetics under rapid heating conditions, coupled heat/mass modelling in high-temperature reactors, and computational optimization of torch configurations and reactor geometries. Key knowledge gaps are analyzed, including electrode erosion dynamics, plasma gas selection trade-offs, unaddressed radiation effects, and lack of thermal plasma-specific kinetic-modelling and experimentation, while presenting strategies to overcome these limitations through both modeling and experimental approaches.
由于塑料垃圾的不可生物降解性和全球消费量的增加,塑料垃圾的迅速积累对环境构成了重大挑战。传统的热化学废物处理技术,如热解和气化,提供了部分解决方案,但存在二次污染物形成、效率低下和可扩展性问题。热等离子体辅助工艺在1500 - 5000°C的极端温度下工作,是一种很有前途的替代方案,它利用高能等离子体电弧实现废物的完全破坏,将塑料转化为合成气和惰性炉渣,同时最大限度地减少二恶英和焦油等有害副产品。尽管经过了几十年的研究,等离子体技术的商业化仍然受到高资本成本、专有技术壁垒和次优反应器设计的限制。这些系统的可扩展性取决于优化能源效率和原料适应性,这可以通过先进的反应器设计来解决。本文通过快速加热条件下等离子体特异性反应动力学的化学工程分析、高温反应器中的热/质量耦合建模以及火炬配置和反应器几何形状的计算优化,系统地评估了热等离子体技术在塑料废物处理中的应用。分析了主要的知识差距,包括电极侵蚀动力学,等离子体气体选择权衡,未解决的辐射效应,以及缺乏热等离子体特异性动力学建模和实验,同时提出了通过建模和实验方法克服这些限制的策略。
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引用次数: 0
Advancing wastewater treatment: a review on the cutting-edge graphene oxide-enhanced polymeric membranes 推进废水处理:氧化石墨烯增强聚合物膜的研究进展
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-11-12 DOI: 10.1515/revce-2025-0016
Ellora Priscille Ndia Ntone, Sunarti Abdul Rahman, Rozaimi Abu Samah, Muhammad Ashraf Fauzi, Eugene Ngwana Ngouangna, Hasrinah Hasbullah, Qusay Fadhil Alsalhy
Access to clean water remains a critical global challenge, underscoring the urgent need for efficient, sustainable, and cost-effective wastewater treatment technologies. Among emerging solutions, graphene-based membranes, particularly those incorporating graphene oxide (GO), have attracted growing attention due to their ultrathin structure, tunable molecular sieving abilities, and oxygen-containing functional groups that enhance adsorption and filtration capabilities. This study presents a comprehensive bibliometric and scientometric analysis of research on GO-enhanced polymeric membranes for advanced wastewater treatment from 2015 to 2025. Key trends in publications and citations are identified, along with leading countries, institutions, authors, and emerging research themes in the field. The review also explores the underlying mechanisms of contaminant removal, including GO mixed matrix membrane (MMMs) synthesis methods, characterization techniques, fabrication techniques, and performance limitations such as fouling and structural instability in aqueous environments. Finally, emerging directions are discussed, including the integration of novel nanomaterials and GO functionalization strategies to improve membrane performance and long-term stability. This study offers valuable insights to guide future research and industrial applications of GO-based MMMs in sustainable water treatment technologies.
获得清洁水仍然是一项重大的全球挑战,这凸显了对高效、可持续和具有成本效益的废水处理技术的迫切需求。在新兴的解决方案中,石墨烯基膜,特别是那些含有氧化石墨烯(GO)的膜,由于其超薄的结构、可调节的分子筛选能力和增强吸附和过滤能力的含氧官能团而受到越来越多的关注。本研究对2015年至2025年氧化石墨烯增强聚合物膜用于高级废水处理的研究进行了综合文献计量学和科学计量学分析。确定了出版物和引文的主要趋势,以及该领域的主要国家、机构、作者和新兴研究主题。该综述还探讨了污染物去除的潜在机制,包括氧化石墨烯混合基质膜(MMMs)的合成方法、表征技术、制造技术以及性能限制,如水环境中的污垢和结构不稳定性。最后,讨论了新兴方向,包括新型纳米材料和氧化石墨烯功能化策略的整合,以提高膜的性能和长期稳定性。该研究为指导未来的研究和基于氧化石墨烯的MMMs在可持续水处理技术中的工业应用提供了有价值的见解。
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引用次数: 0
Frontmatter Frontmatter
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-11-07 DOI: 10.1515/revce-2025-frontmatter8
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引用次数: 0
Technological aspects and problems of using nanoparticles as a modifier of composite materials 纳米粒子作为复合材料改性剂的技术方面和问题
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-11-07 DOI: 10.1515/revce-2025-0037
Andrii Bieliatynskyi, Leila Bouziane, Olena Bakulich, Viacheslav Trachevskyi, Mingyang Ta
The article provides a comprehensive analytical review of the literature on the use of nanoparticles in polymer composite materials aiming at an in-depth analysis of technological approaches to their integration and influence on the structural and functional properties of the polymer matrix. Particular attention is paid to the systematization of modern approaches to the classification of nanofillers by chemical composition and morphological features, as well as to the identification of effective ways to incorporate nanocomponents into the polymer base. This paper deals with the actual problems related to the uniform dispersion of nanoparticles, ensuring stability and effective interfacial interaction in polymer systems, which are critical for achieving the specified performance characteristics of materials. A comparative analysis of nanocomposites using carbon nanotubes, graphene, graphene oxide, nanodispersed silica, aerogels, and other nanostructured modifiers was performed. Optimal choice of nanofiller has been shown to significantly improve the mechanical, thermal, optical, electrical, conductive, and barrier characteristics of composites, which expands their application in fields such as biomedicine, electronics, energy, ecology, and construction. The technological challenges in the scaled-up production of polymer nanocomposites are generalized, and modern studies in nanochemistry and polymer synthesis are examined to outline the perspectives for their development.
本文对纳米颗粒在聚合物复合材料中应用的文献进行了全面的分析综述,旨在深入分析纳米颗粒集成的技术方法及其对聚合物基体结构和功能特性的影响。特别关注的是通过化学成分和形态特征对纳米填料进行分类的现代方法的系统化,以及将纳米组分纳入聚合物基的有效方法的识别。本文研究了聚合物体系中纳米粒子的均匀分散、稳定性和有效的界面相互作用等实际问题,这些问题对于实现材料的特定性能特征至关重要。对碳纳米管、石墨烯、氧化石墨烯、纳米分散二氧化硅、气凝胶和其他纳米结构改性剂制备的纳米复合材料进行了对比分析。纳米填料的优化选择可以显著改善复合材料的力学、热学、光学、电学、导电性和阻隔性等特性,从而扩大了复合材料在生物医药、电子、能源、生态和建筑等领域的应用。概述了大规模生产聚合物纳米复合材料的技术挑战,并对纳米化学和聚合物合成的现代研究进行了研究,概述了它们的发展前景。
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引用次数: 0
Review of flotation reagents for scheelite: collectors and depressants 白钨矿浮选药剂综述:捕收剂和抑制剂
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-11-07 DOI: 10.1515/revce-2025-0048
Jiali Chen, Peng Gao, Jie Liu, Yimin Zhu, Shuai Yuan, Wentao Zhou
Tungsten is a rare strategic metal with excellent properties. Scheelite is the main source of tungsten resources, but its low grade, fine embedded particle size and complex associated relationships make its efficient separation from gangue difficult. The surface properties and dissolution characteristics of scheelite, which are similar to calcium-containing minerals such as calcite, fluorite, and garnet, further complicate the separation process. The selection of collectors with strong collection ability and good selectivity for scheelite, as well as depressants with high selectivity for gangue minerals, is crucial. Based on the detailed introduction of scheelite crystal structure, anisotropy, this study comprehensively outlines the types of scheelite flotation collectors and depressants and their action mechanisms, focuses on the performance of new types of scheelite collectors and depressants that have been researched and developed in recent years, elaborates on the application of combined depressants and combined collectors in scheelite flotation, points out the future research direction of high-efficiency collectors and depressants and provides guidance for the development of new chemicals and new processes in scheelite flotation.
钨是一种性能优良的稀有战略金属。白钨矿是钨资源的主要来源,但白钨矿品位低、嵌套粒度细、伴生关系复杂,使其难以从脉石中有效分离。白钨矿与方解石、萤石、石榴石等含钙矿物具有相似的表面性质和溶解特性,使分离过程更加复杂。选择对白钨矿具有较强的捕收能力和较好的选择性的捕收剂,以及对脉石矿物具有较高选择性的抑制剂至关重要。在详细介绍白钨矿晶体结构、各向异性的基础上,全面概述了白钨矿浮选捕收剂和抑制剂的种类及其作用机理,重点介绍了近年来研究开发的新型白钨矿捕收剂和抑制剂的性能,阐述了复合抑制剂和复合捕收剂在白钨矿浮选中的应用。指出了高效捕收剂和抑制剂的研究方向,为白钨矿浮选新药剂和新工艺的开发提供了指导。
{"title":"Review of flotation reagents for scheelite: collectors and depressants","authors":"Jiali Chen, Peng Gao, Jie Liu, Yimin Zhu, Shuai Yuan, Wentao Zhou","doi":"10.1515/revce-2025-0048","DOIUrl":"https://doi.org/10.1515/revce-2025-0048","url":null,"abstract":"Tungsten is a rare strategic metal with excellent properties. Scheelite is the main source of tungsten resources, but its low grade, fine embedded particle size and complex associated relationships make its efficient separation from gangue difficult. The surface properties and dissolution characteristics of scheelite, which are similar to calcium-containing minerals such as calcite, fluorite, and garnet, further complicate the separation process. The selection of collectors with strong collection ability and good selectivity for scheelite, as well as depressants with high selectivity for gangue minerals, is crucial. Based on the detailed introduction of scheelite crystal structure, anisotropy, this study comprehensively outlines the types of scheelite flotation collectors and depressants and their action mechanisms, focuses on the performance of new types of scheelite collectors and depressants that have been researched and developed in recent years, elaborates on the application of combined depressants and combined collectors in scheelite flotation, points out the future research direction of high-efficiency collectors and depressants and provides guidance for the development of new chemicals and new processes in scheelite flotation.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"93 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145454608","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
Advancing hydrogen infrastructure: a review of storage and transportation solutions for a sustainable future 推进氢基础设施:可持续未来的储存和运输解决方案综述
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-10-31 DOI: 10.1515/revce-2025-0024
Zahra Gholami, Fatemeh Gholami, Josef Šimek, Mohammadtaghi Vakili
Hydrogen is a key energy carrier for decarbonizing high-emission sectors, supporting the transition to a sustainable energy future. This review evaluates critical hydrogen storage and transportation technologies essential for a hydrogen-powered economy. Storage methods, including compressed gas (350–700 bar), cryogenic liquid (−253 °C), cryo-compressed (−233 °C, 250–350 bar), material-based approaches (e.g., metal hydrides, LOHCs), and underground storage (salt caverns, aquifers), are analyzed for their technical feasibility, energy efficiency, and scalability. Transportation methods, including pipelines (up to 6,000 km), truck/rail (200–700 bar), and maritime shipping (e.g., liquefied hydrogen, ammonia, and LOHCs), are evaluated, with an emphasis on infrastructure requirements and cost optimization. The study emphasizes advancements in integrating green hydrogen with renewable energy, addressing safety concerns (e.g., hydrogen embrittlement, ammonia toxicity, and leakage risks), and technical challenges (e.g., boil-off losses and material durability), to support global decarbonization objectives.
氢是高排放行业脱碳的关键能源载体,支持向可持续能源未来的过渡。这篇综述评估了氢动力经济必不可少的关键氢储存和运输技术。储存方法包括压缩气体(350-700 bar)、低温液体(- 253°C)、低温压缩(- 233°C, 250-350 bar)、基于材料的方法(例如金属氢化物、lohc)和地下储存(盐洞、含水层),分析了它们的技术可行性、能源效率和可扩展性。评估了运输方式,包括管道(长达6000公里),卡车/铁路(200-700巴)和海运(例如液态氢,氨和lohc),重点是基础设施要求和成本优化。该研究强调了绿色氢与可再生能源相结合的进展,解决了安全问题(如氢脆、氨毒性和泄漏风险)和技术挑战(如蒸发损失和材料耐久性),以支持全球脱碳目标。
{"title":"Advancing hydrogen infrastructure: a review of storage and transportation solutions for a sustainable future","authors":"Zahra Gholami, Fatemeh Gholami, Josef Šimek, Mohammadtaghi Vakili","doi":"10.1515/revce-2025-0024","DOIUrl":"https://doi.org/10.1515/revce-2025-0024","url":null,"abstract":"Hydrogen is a key energy carrier for decarbonizing high-emission sectors, supporting the transition to a sustainable energy future. This review evaluates critical hydrogen storage and transportation technologies essential for a hydrogen-powered economy. Storage methods, including compressed gas (350–700 bar), cryogenic liquid (−253 °C), cryo-compressed (−233 °C, 250–350 bar), material-based approaches (e.g., metal hydrides, LOHCs), and underground storage (salt caverns, aquifers), are analyzed for their technical feasibility, energy efficiency, and scalability. Transportation methods, including pipelines (up to 6,000 km), truck/rail (200–700 bar), and maritime shipping (e.g., liquefied hydrogen, ammonia, and LOHCs), are evaluated, with an emphasis on infrastructure requirements and cost optimization. The study emphasizes advancements in integrating green hydrogen with renewable energy, addressing safety concerns (e.g., hydrogen embrittlement, ammonia toxicity, and leakage risks), and technical challenges (e.g., boil-off losses and material durability), to support global decarbonization objectives.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"26 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145405127","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
DFT and hybrid classical–quantum machine learning integration for photocatalyst discovery and hydrogen production 用于光催化剂发现和制氢的DFT和混合经典量子机器学习集成
IF 4.7 3区 工程技术 Q1 ENGINEERING, CHEMICAL Pub Date : 2025-09-27 DOI: 10.1515/revce-2025-0022
Dennis Delali Kwesi Wayo, Leonardo Goliatt, Masoud Darvish Ganji
Photocatalytic hydrogen production is a key pathway toward sustainable energy, driven by semiconductors that utilize sunlight for water splitting. This review highlights recent advances in material design, theoretical modeling, and data-driven discovery. Focus is given to visible-light-active semiconductors with optimal band gaps (1.8–2.4 eV), such as BiVO4, g-C3N4, and CdS, which enable efficient redox reactions. Hybrid architectures, including Pt-loaded TiO2 and CdS/ZnS core–shell systems, demonstrate hydrogen evolution rates exceeding 105 mol m−2 s−1. Upconversion nanomaterials based on rare-earth-doped fluorides extend light harvesting into the NIR, enhancing quantum yields when combined with quantum dots. Engineered heterojunctions and carbon-based 2D interfaces improve charge separation and suppress recombination. Thermodynamic parameters such as low overpotentials (<0.3 V) and high absorption coefficients (>105 cm−1) correlate with high catalytic efficiency. Time-dependent simulations and density functional theory (DFT) offer insights into structure–property relationships. Additionally, machine learning models expedite discovery by navigating complex compositional and structural spaces. While integrating theoretical, experimental, and AI-driven approaches, this review presents a framework for the rational design of scalable photocatalysts that meet future energy demands.
光催化制氢是实现可持续能源的关键途径,由利用阳光分解水的半导体驱动。本综述重点介绍了材料设计、理论建模和数据驱动发现方面的最新进展。重点是具有最佳带隙(1.8-2.4 eV)的可见光活性半导体,如BiVO4, g-C3N4和CdS,它们能够实现高效的氧化还原反应。混合体系结构,包括pt负载TiO2和CdS/ZnS核壳体系,显示出超过105 mol m−2 s−1的析氢速率。基于稀土掺杂氟化物的上转换纳米材料将光捕获扩展到近红外,与量子点结合时提高了量子产量。工程异质结和碳基二维界面改善电荷分离和抑制复合。热力学参数,如低过电位(<0.3 V)和高吸收系数(>105 cm−1)与高催化效率相关。时间相关模拟和密度泛函理论(DFT)提供了对结构-性质关系的见解。此外,机器学习模型通过导航复杂的组成和结构空间来加速发现。在整合理论、实验和人工智能驱动方法的同时,本文提出了一个合理设计可扩展光催化剂的框架,以满足未来的能源需求。
{"title":"DFT and hybrid classical–quantum machine learning integration for photocatalyst discovery and hydrogen production","authors":"Dennis Delali Kwesi Wayo, Leonardo Goliatt, Masoud Darvish Ganji","doi":"10.1515/revce-2025-0022","DOIUrl":"https://doi.org/10.1515/revce-2025-0022","url":null,"abstract":"Photocatalytic hydrogen production is a key pathway toward sustainable energy, driven by semiconductors that utilize sunlight for water splitting. This review highlights recent advances in material design, theoretical modeling, and data-driven discovery. Focus is given to visible-light-active semiconductors with optimal band gaps (1.8–2.4 eV), such as BiVO<jats:sub>4</jats:sub>, g-C<jats:sub>3</jats:sub>N<jats:sub>4</jats:sub>, and CdS, which enable efficient redox reactions. Hybrid architectures, including Pt-loaded TiO<jats:sub>2</jats:sub> and CdS/ZnS core–shell systems, demonstrate hydrogen evolution rates exceeding 10<jats:sup>5</jats:sup> mol m<jats:sup>−2</jats:sup> s<jats:sup>−1</jats:sup>. Upconversion nanomaterials based on rare-earth-doped fluorides extend light harvesting into the NIR, enhancing quantum yields when combined with quantum dots. Engineered heterojunctions and carbon-based 2D interfaces improve charge separation and suppress recombination. Thermodynamic parameters such as low overpotentials (&lt;0.3 V) and high absorption coefficients (&gt;10<jats:sup>5</jats:sup> cm<jats:sup>−1</jats:sup>) correlate with high catalytic efficiency. Time-dependent simulations and density functional theory (DFT) offer insights into structure–property relationships. Additionally, machine learning models expedite discovery by navigating complex compositional and structural spaces. While integrating theoretical, experimental, and AI-driven approaches, this review presents a framework for the rational design of scalable photocatalysts that meet future energy demands.","PeriodicalId":54485,"journal":{"name":"Reviews in Chemical Engineering","volume":"10 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145181136","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
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