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A review on 3D printing with clay and sawdust/natural fibers: Printability, rheology, properties, and applications 粘土和锯屑/天然纤维三维打印综述:可打印性、流变性、特性和应用
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-10-02 DOI: 10.1016/j.rineng.2024.103024
Biva Gyawali , Ramtin Haghnazar , Pavan Akula , Kamran Alba , Vahid Nasir
This review discusses the opportunities and challenges of 3D printing using clay and natural fibers with a focus on wood sawdust in direct ink writing (DIW) method. Using earthen and natural materials promotes sustainable and affordable construction. Additive manufacturing also offers low-cost and fast construction and facilitates the transition towards automated and customized practices. Considerations in preparing print slurry using clay and sawdust/natural fiber are presented. The key rheological tests and criteria to assess the printability and characteristics of fresh printing slurry are discussed. Printability of fresh slurry is explained with a focus on flowability, extrudability, and buildability. Additionally, the mechanical properties of 3D-printed clay composites reinforced with natural fibers are reviewed. The review shows the complex role of using wood sawdust and natural fiber in clay 3D printing. While such an addition may compromise the strength properties of clay composite, it improves the shrinkage and cracks following print task. The study concludes that post-printing performance shall be linked to proper design of print slurry via rheological characterization techniques. Further research is required to establish the fresh ink printability criteria. These criteria should account for rheology of fresh slurry, different loading scenarios of in-service printed structure, and geometrical complexities and requirements of final product. To fully leverage the power of 3D printing in customized fabrication and construction, additive manufacturing can be practiced by focusing on aesthetic and architectural design. Clay 3D printing can also be integrated with computational design to fabricate building structures with exterior (façade) and/or interior applications.
本综述讨论了使用粘土和天然纤维进行三维打印的机遇和挑战,重点是直接油墨书写(DIW)方法中的木锯屑。使用泥土和天然材料可促进可持续发展和经济实惠的建筑。增材制造还能提供低成本、快速的建筑,并促进向自动化和定制化做法过渡。本文介绍了使用粘土和锯屑/天然纤维制备印刷浆料的注意事项。讨论了评估新鲜印刷浆料印刷性和特性的关键流变测试和标准。对新鲜泥浆的可印刷性进行了解释,重点是流动性、可挤压性和可构建性。此外,还综述了用天然纤维增强的 3D 打印粘土复合材料的机械性能。综述显示了在粘土三维打印中使用木锯屑和天然纤维的复杂作用。虽然这种添加可能会影响粘土复合材料的强度特性,但却能改善打印任务后的收缩和裂缝。研究得出结论,打印后的性能应与通过流变表征技术对打印浆料进行适当设计有关。需要开展进一步研究,以确定新墨印刷性标准。这些标准应考虑到新鲜浆料的流变性、在役打印结构的不同加载情况以及最终产品的几何复杂性和要求。为了充分发挥三维打印在定制制造和建筑方面的威力,可以通过关注美学和建筑设计来实践增材制造。粘土三维打印还可以与计算设计相结合,制造出具有外部(立面)和/或内部应用的建筑结构。
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引用次数: 0
Recent advances in supercapacitors based on MXene surface modification: A review of symmetric and asymmetric electrodes material 基于 MXene 表面改性的超级电容器的最新进展:对称和不对称电极材料综述
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-10-02 DOI: 10.1016/j.rineng.2024.103045
Ghobad Behzadi pour , Leila Fekri aval
MXene-based supercapacitors utilize symmetric or asymmetric electrodes. Symmetric electrodes use the same MXene material for positive/negative electrodes, providing balanced performance and stability. Asymmetric electrodes incorporate different MXene materials or combine MXene with other substances to enhance energy density (ED), stability, specific capacitance (SC), and power density (PD). The symmetric and asymmetric configurations make MXene-based supercapacitors versatile for various applications. In this review, we have summarized MXene-based supercapacitors using symmetric and asymmetric electrode materials. A comparative study has been done on the surface modification of the MXene-based supercapacitor electrodes using doping, polymer decorations, anchoring of nickel materials, and coupled carbon nanomaterials methods. The discoveries from this research serve as an invaluable reference for upcoming researchers, contributing to their comprehension of the performance and potential applications of MXene electrodes of supercapacitor technology.
基于 MXene 的超级电容器采用对称或不对称电极。对称电极的正极/负极使用相同的 MXene 材料,可提供均衡的性能和稳定性。非对称电极采用不同的 MXene 材料或将 MXene 与其他物质相结合,以提高能量密度 (ED)、稳定性、比电容 (SC) 和功率密度 (PD)。对称和非对称结构使基于 MXene 的超级电容器具有多种用途。在本综述中,我们总结了使用对称和非对称电极材料的基于 MXene 的超级电容器。我们采用掺杂、聚合物装饰、镍材料锚定和碳纳米材料耦合等方法,对基于 MXene 的超级电容器电极的表面改性进行了比较研究。这项研究的发现对未来的研究人员是一个宝贵的参考,有助于他们理解超级电容器技术中 MXene 电极的性能和潜在应用。
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引用次数: 0
Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review 了解电动汽车中的锂离子电池管理系统:环境和健康影响、比较研究和未来趋势:综述
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-10-02 DOI: 10.1016/j.rineng.2024.103047
R. Suganya, L.M.I. Leo Joseph, Sreedhar Kollem
The future of transportation is moving toward electric vehicles (EVs), driven by the global demand for sustainability. At the core of EV technology is the Battery Management System (BMS), which plays a vital role in ensuring the safety, efficiency, and longevity of batteries. Lithium-ion batteries (LIBs) are key to EV performance, and ongoing advances are enhancing their durability and adaptability to variations in temperature, voltage, and other internal parameters. This review aims to support researchers and academics by providing a deeper understanding of the environmental and health impact of EVs. Additionally, the article offers a comprehensive analysis of various algorithms used for parameter estimation in BMS, discussing their advantages, limitations, and practical implications. It also addresses key challenges in EV adoption, such as range anxiety and the development of charging infrastructure. By exploring these aspects, the review provides valuable information on improving BMS efficiency and battery technologies, supporting the future growth of cleaner and more sustainable electric transportation.
在全球对可持续发展需求的推动下,未来的交通正朝着电动汽车(EV)的方向发展。电动汽车技术的核心是电池管理系统(BMS),它在确保电池的安全性、效率和寿命方面发挥着至关重要的作用。锂离子电池(LIB)是电动汽车性能的关键,不断取得的进步增强了其耐用性以及对温度、电压和其他内部参数变化的适应性。本综述旨在为研究人员和学者提供支持,让他们更深入地了解电动汽车对环境和健康的影响。此外,文章还全面分析了用于 BMS 参数估计的各种算法,讨论了它们的优势、局限性和实际意义。文章还探讨了电动汽车应用中的关键挑战,如续航焦虑和充电基础设施的发展。通过对这些方面的探讨,该综述为提高 BMS 效率和电池技术提供了有价值的信息,从而为更清洁、更可持续的电动交通工具的未来发展提供支持。
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引用次数: 0
A review on sustainable machining: Technological advancements, health and safety considerations, and related environmental impacts 可持续加工回顾:技术进步、健康和安全考虑因素以及相关环境影响
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-10-01 DOI: 10.1016/j.rineng.2024.103042
Ammar Elsheikh , Ali B.M. Ali , Amal Saba , Hosam Faqeha , Albraa A. Alsaati , Abdullah M. Maghfuri , Walaa Abd-Elaziem , Ahmed A. El Ashmawy , Ninshu Ma
The evolution of advanced engineering materials and high-speed cutting techniques has emphasized the critical role of cutting fluids (CFs) in machining processes to meet sustainability requirements. Cutting fluids application offers several key benefits, including temperature reduction during cutting, decreased friction between the workpiece/chip and tool, extended tool lifespan, enhanced machining efficiency, and boosted surface finish. These positive outcomes are primarily attributed to the core functions of cutting fluid, namely lubrication, cooling, cleaning, and corrosion protection. However, they have serious disadvantages such as posing risks to ecosystems and human health as well as high disposal costs. Despite these disadvantages, ongoing research and development efforts are focused on improving the environmental sustainability, health and safety, and performance of metal cutting fluids through the use of green biodegradable oils, developing advanced recycling technologies, and the use of efficient application methods such as high-pressure cooling and minimum quantity lubrication (MQL). This review paper sheds light on sustainable machining technologies that are utilized to minimize the environmental impacts of conventional cutting fluids. Different types of CFs including their benefits and role in cutting operations are also introduced. Finally, sustainable assessment including economical, environmental, and social aspects of green machining technologies is discussed.
先进工程材料和高速切削技术的发展强调了切削液(CF)在加工过程中的关键作用,以满足可持续发展的要求。切削液的应用具有多种主要优势,包括降低切削过程中的温度、减少工件/切屑与刀具之间的摩擦、延长刀具寿命、提高加工效率以及改善表面光洁度。这些积极成果主要归功于切削液的核心功能,即润滑、冷却、清洁和防腐蚀。然而,它们也有严重的缺点,如对生态系统和人类健康构成风险以及高昂的处理成本。尽管存在这些缺点,但目前的研发工作主要集中在通过使用绿色可生物降解油、开发先进的回收技术以及使用高压冷却和最小量润滑 (MQL) 等高效应用方法来改善金属切削液的环境可持续性、健康和安全以及性能。本综述介绍了可持续加工技术,这些技术可用于最大限度地减少传统切削液对环境的影响。此外,还介绍了不同类型的切削液,包括它们在切削操作中的优点和作用。最后,还讨论了绿色加工技术的可持续评估,包括经济、环境和社会方面。
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引用次数: 0
Applying graphene oxide Nanosheets(GONSs) in WBM to enhance its properties and well bore stability: A literature review 在 WBM 中应用氧化石墨烯纳米片(GONSs)以增强其性能和井眼稳定性:文献综述
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-28 DOI: 10.1016/j.rineng.2024.103015
Ahmed R. AlBajalan , Azad A. Rasol , M.N.A.M. Norddin , Jeffry O. Oseh , Muftahu N. Yahya , Okwaraku S. Ikenna
The petroleum industry has recently demonstrated a growing interest in incorporating nanomaterials into drilling fluid applications. This incorporation has revealed a remarkable ability of nano-additives to improve drilling fluids’ efficiency and performance. The two-dimensional honeycomb lattice graphene oxide nanosheets (GONSs) have received significant attention for drilling fluid applications. Adding a small quantity of GONSs into water-based drilling fluids can enhance their efficiency and properties. This paper provides a comprehensive review of the recent synthesizing methods of GO nanosheets. In addition, the rheological properties of water-based mud, such as plastic viscosity (PV), yield point (YP), and fluid loss will be examined using both unmodified and surface modified GONSs. The effect of GONSs on shale wellbore stability will also be analysed based on recent experimental studies. The results showed that incorporating GONSs in WBM has a significant impact on shale wellbore stability by physically plugging the nano-sized pores of shale formation. This minimizes the interaction between water molecules and shale formation and preventing shale hydration and swelling. The GONSs as WBM additives have enhanced the rheological and filtration properties. It also produces much more compacted filter cakes compared to those formed by conventional clay-based materials. However, future research should explore the use of GONSs in oil-based muds (OBMs), evaluate their properties, and compare the results with conventional WBMs. Additionally, most GO-WBM research studies were conducted on a laboratory scale, so it is necessary to be examined on an industrial scale. The toxicity effect of GO nanosheets should also be evaluated before utilizing them in drilling operations.
最近,石油工业对在钻井液应用中加入纳米材料的兴趣与日俱增。纳米添加剂在提高钻井液的效率和性能方面具有卓越的能力。二维蜂窝晶格氧化石墨烯纳米片(GONSs)在钻井液应用中受到了极大关注。在水基钻井液中添加少量 GONSs 可以提高钻井液的效率和性能。本文全面综述了近年来合成 GO 纳米片的方法。此外,还将使用未改性和表面改性的 GONS 考察水基泥浆的流变特性,如塑性粘度(PV)、屈服点(YP)和流体损失。还将根据最近的实验研究分析 GONS 对页岩井筒稳定性的影响。研究结果表明,在 WBM 中加入 GONSs 可以通过物理方式堵塞页岩层的纳米级孔隙,从而对页岩井筒的稳定性产生重大影响。这可以最大程度地减少水分子与页岩层之间的相互作用,防止页岩水化和膨胀。作为 WBM 添加剂的 GONS 增强了流变和过滤性能。与传统的粘土基材料相比,它还能产生更加密实的滤饼。不过,未来的研究应该探索在油基泥浆(OBM)中使用 GONS,评估其特性,并将结果与传统的 WBM 进行比较。此外,大多数 GO-WBM 研究都是在实验室规模上进行的,因此有必要在工业规模上进行研究。在钻井作业中使用 GO 纳米片之前,还应该对其毒性效果进行评估。
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引用次数: 0
A survey of challenges and potential of implementing a resilient network for Pakistan's electric power infrastructure to avoid blackouts 巴基斯坦电力基础设施实施弹性网络以避免停电的挑战和潜力调查
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-28 DOI: 10.1016/j.rineng.2024.103004
Ijaz Ahmed , Muhammad Adnan , Sajid Iqbal , Ali Raza , Waqas Hassan , Salah Eldeen Gasim Mohamed
Power systems are the most complicated networks that play a crucial role in daily lifestyles. To operate such systems in a stable condition, several control and protection strategies are required. Despite preventative measures, power systems still experience issues and breakdowns like power outages. However, severe and unanticipated conditions might cause damage to the entire system and causes blackout. In this article we studied the analysis of the significant blackouts and cascading failures that have been happened in Pakistan in last few years. The authors proposed a new infrastructure for Pakistan energy sector by introducing advanced energy storage system and cutting edge technology like Vehicle-to-Grid (V2G) technology that make the existing power system robust against these phenomena. The advanced energy storage systems include like solid- state batteries that play a vital role to balance supply and demand, while V2G enables electric vehicles to contribute to grid stability. The potential of these technologies is helpful to improve the grid stability and facilitate a sustainable energy transition. The role of various electric companies in Pakistan power infrastructure has also been discussed after an occurrence of such unplanned events in power system. It has been noted that the main cause of power outages is fluctuation in frequency and voltage collapse. Finally, various solutions have been proposed to overcome these problems and make sure the reliability and stability of power grid against blackout phenomena.
电力系统是最复杂的网络,在日常生活中起着至关重要的作用。要使这些系统稳定运行,需要采取多种控制和保护策略。尽管采取了预防措施,电力系统仍会出现停电等问题和故障。然而,严重的意外情况可能会对整个系统造成破坏,导致停电。在这篇文章中,我们对巴基斯坦过去几年发生的重大停电和连锁故障进行了分析研究。作者为巴基斯坦能源行业提出了一种新的基础设施,即引入先进的储能系统和前沿技术,如车对网(V2G)技术,使现有的电力系统能够抵御这些现象。先进的储能系统包括固态电池等,它们在平衡供需方面发挥着重要作用,而 V2G 则使电动汽车能够促进电网稳定。这些技术的潜力有助于提高电网稳定性,促进可持续能源转型。在电力系统发生此类意外事件后,还讨论了各电力公司在巴基斯坦电力基础设施中的作用。人们注意到,停电的主要原因是频率波动和电压崩溃。最后,还提出了各种解决方案,以克服这些问题,确保电网的可靠性和稳定性,防止停电现象的发生。
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引用次数: 0
Nanofluid heat transfer and machine learning: Insightful review of machine learning for nanofluid heat transfer enhancement in porous media and heat exchangers as sustainable and renewable energy solutions 纳米流体传热与机器学习:多孔介质和热交换器中纳米流体传热强化机器学习的精辟评述,作为可持续和可再生能源的解决方案
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-26 DOI: 10.1016/j.rineng.2024.103002
Tri W.B. Riyadi , Safarudin G. Herawan , Andy Tirta , Yit Jing Ee , April Lia Hananto , Permana A. Paristiawan , Abdulfatah Abdu Yusuf , Harish Venu , Irianto , Ibham Veza
Nanofluid, coupled with machine learning, is at the forefront of cutting-edge research in sustainable and renewable energy sector. This review paper examines the latest developments in the intersection of nanofluid and machine learning for heat transfer enhancement. This hybrid nanofluid-machine learning review investigates nanofluid heat transfer enhancement leveraged by machine learning both in porous media as well as heat exchangers. Several studies in porous media nanofluid transport utilize advanced methodologies that integrate machine learning and computational techniques. Machine learning and computational methods are employed to tackle complex thermodynamics, transport processes, and heat transfer challenges in complex multiphysics systems. An interesting hybrid nanofluid-machine learning application involves applying a machine learning method such as Support Vector Machine (SVM) to forecast movement of hybrid nanofluid flows across porous surfaces. Such hybrid nanofluid-machine learning technique involves utilising training data obtained from computational fluid dynamics (CFD) to decrease computational time and expenses. Machine learning offers a more efficient and cost-effective modelling for nanofluid heat transfer enhancement. Techniques such as scanning electron microscopy (SEM) along with X-ray diffraction (XRD) are also often used for assessing the forms as well as nanocomposites configurations in heat exchangers while studying nanofluids. The importance of machine learning models, especially artificial neural networks (ANNs) and genetic algorithms, is evident in their ability to predict and optimize thermal performance of nanofluid application for nanofluid heat transfer enhancement. Furthermore, integrating nanofluids into various heat exchanger designs has demonstrated significant enhancements in efficiency, decreased energy usage, and total cost reduction. These achievements align with the research goal in sustainable and renewable energy, highlighting the critical role of nanofluid-enhanced heat exchange systems in tackling current difficulties related to energy efficiency and sustainability. Overall, combining nanofluids with machine learning shows promising advancements, providing a route toward creating more efficient and eco-friendly heat exchange systems.
纳米流体与机器学习相结合,正处于可持续和可再生能源领域前沿研究的最前沿。这篇综述论文探讨了纳米流体与机器学习在增强传热方面的最新进展。这篇纳米流体-机器学习混合综述探讨了在多孔介质和热交换器中利用机器学习增强纳米流体传热的问题。多孔介质纳米流体传输方面的一些研究采用了先进的方法,将机器学习和计算技术结合在一起。机器学习和计算方法被用于解决复杂多物理场系统中复杂的热力学、传输过程和传热难题。一种有趣的混合纳米流体-机器学习应用涉及应用支持向量机(SVM)等机器学习方法来预测混合纳米流体流过多孔表面的运动。这种混合纳米流体-机器学习技术涉及利用从计算流体动力学(CFD)中获得的训练数据,以减少计算时间和费用。机器学习为纳米流体传热增强提供了更高效、更具成本效益的建模方法。在研究纳米流体时,扫描电子显微镜(SEM)和 X 射线衍射(XRD)等技术也经常用于评估热交换器中的纳米复合材料配置。机器学习模型,尤其是人工神经网络(ANN)和遗传算法,在预测和优化纳米流体应用的热性能以提高纳米流体传热性能方面的重要性显而易见。此外,将纳米流体集成到各种热交换器设计中已证明可显著提高效率、降低能耗和总成本。这些成就与可持续和可再生能源的研究目标相一致,突出了纳米流体增强热交换系统在解决当前能源效率和可持续性相关难题方面的关键作用。总之,纳米流体与机器学习的结合显示出良好的发展前景,为创建更高效、更环保的热交换系统提供了一条途径。
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引用次数: 0
Cords wick distillers for water distillation - A comparative review 用于水蒸馏的灯芯式蒸馏器 - 对比审查
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-26 DOI: 10.1016/j.rineng.2024.102984
Wissam H. Alawee , Ali Basem , Suha A. Mohammed , Hasan Sh Majdi , A.S. Abdullah , A. Aldabesh , Abbas J. Sultan , M.I. Amro , Z.M. Omara , Fadl A. Essa
This review examines advancements in cords wick technology for optimizing water depth in solar stills, a crucial factor in enhancing desalination efficiency. Shallow water depths generally lead to increased productivity, and cords wick technology effectively reduces energy waste by drawing only evaporated saline water, minimizing hot water loss. Various modifications, such as reflectors, fans, and baffles combined with nano-enhanced PCM, have significantly improved the performance of cords wick solar stills. Notably, incorporating cords, reflectors, a fan, and square baffles resulted in a 264 % increase in distillate production. Additionally, these enhancements offer environmental benefits, with reported annual CO₂ emissions reductions of approximately 28.71 tons and water treatment costs ranging from $0.01 to $0.0185 per liter. The insights provided here contribute to the ongoing research on maximizing desalination efficiency using cords wick technology in solar stills.
本综述探讨了用于优化太阳能蒸馏器水深的灯芯技术的进展,这是提高海水淡化效率的一个关键因素。浅水深度通常能提高生产率,而灯芯技术只汲取蒸发的盐水,最大限度地减少了热水损失,从而有效地减少了能源浪费。各种改进措施,如反射器、风扇和挡板与纳米增强型 PCM 相结合,显著提高了太阳能蒸馏器的性能。值得注意的是,采用灯芯、反射器、风扇和方形挡板后,蒸馏物产量提高了 264%。此外,这些改进还带来了环境效益,据报告,每年的二氧化碳排放量减少了约 28.71 吨,水处理成本从每升 0.01 美元到 0.0185 美元不等。本文所提供的见解有助于正在进行的关于在太阳能蒸馏器中使用灯芯技术最大限度地提高海水淡化效率的研究。
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引用次数: 0
Microalgal bioengineering: A futuristic tool for carbon capture 微藻生物工程:未来的碳捕获工具
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-24 DOI: 10.1016/j.rineng.2024.102990
Adamu Yunusa Ugya , Yangyang Sheng , Hui Chen , Qiang Wang
Microalgae is a sustainable tool for carbon capture and bioprospecting due to its unique characteristics, but its scale-up application has been hindered by different challenges. This study alluded to the potential for overcoming existing barriers and easing the application of microalgae-based solutions in carbon capture technologies. The mechanisms by which different bioengineering techniques enhance the photosynthetic efficiency, carbon fixation pathways, and stress tolerance in microalgae, leading to carbon capture, were also explored. These bioengineering techniques were deciphered towards scale-up cultivation of microalgal resources and application in carbon capture. The success of scale-up applications was linked to the implementation of metabolic and genetic engineering strategies. These strategies tend to enhance the economic and environmental feasibility of microalgae-based carbon capture technologies. The engineering of microalgae stress responsive mechanisms was shown to improve biomass productivity and resilience of microalgae. The pathway towards the eradication of issues related to the technical feasibility of microalgae scale-up application in carbon capture was identified. The study buttressed the role of policy and regulatory frameworks in enhancing the feasibility of microalgae usage as a tool in scale-up carbon capture. But to ascertain a scale-up application of microalgae-based technology for carbon capture, research direction should focus on the use of bioengineering techniques to ease the integration of microalgae systems into industrial processes.
微藻具有独特的特性,是一种可持续的碳捕获和生物勘探工具,但其规模化应用一直受到各种挑战的阻碍。本研究揭示了克服现有障碍、促进基于微藻的解决方案在碳捕集技术中的应用的潜力。本研究还探讨了不同生物工程技术提高微藻光合效率、碳固定途径和抗逆性从而实现碳捕获的机制。对这些生物工程技术进行了解密,以实现微藻资源的规模化培养和碳捕获应用。规模化应用的成功与否与代谢和基因工程战略的实施有关。这些策略倾向于提高基于微藻的碳捕集技术的经济和环境可行性。微藻应激反应机制工程显示,可以提高微藻的生物量生产率和复原力。确定了消除与碳捕获中微藻规模化应用的技术可行性有关的问题的途径。该研究强调了政策和监管框架在提高微藻作为碳捕集放大应用工具的可行性方面的作用。但是,要确定基于微藻的碳捕集技术的规模化应用,研究方向应侧重于使用生物工程技术,以方便将微藻系统集成到工业流程中。
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引用次数: 0
Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study 从工业 4.0 到工业 5.0 的预测性维护和状态监测范式转变:系统回顾、挑战和案例研究
IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-09-23 DOI: 10.1016/j.rineng.2024.102935
Aitzaz Ahmed Murtaza , Amina Saher , Muhammad Hamza Zafar , Syed Kumayl Raza Moosavi , Muhammad Faisal Aftab , Filippo Sanfilippo
This paper examines the integration of Industry 5.0 principles with advanced predictive maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's enabling technologies. It provides a comprehensive review of the roles of Machine Learning (ML), Digital Twins (DT), the Internet of Things (IoT), and Big Data (BD) in transforming PdM and CM. The study proposes a six-layered framework designed to enhance sustainability, human-centricity, and resilience in industrial systems. This framework includes layers for data acquisition, processing, human-machine interfaces, maintenance execution, feedback, and resilience. A case study on a boiler feed-water pump is also presented which demonstrates the framework's potential benefits, such as reduced downtime, extended lifespan, real-time equipment monitoring and improved efficiency. The findings of this study emphasises the importance of integrating human intelligence with advanced technologies for a collaborative and adaptive industrial environment, and suggest areas for future research.
本文以工业 4.0 的使能技术为基础,探讨了如何将工业 5.0 原则与先进的预测性维护 (PdM) 和状态监测 (CM) 实践相结合。它全面回顾了机器学习 (ML)、数字双胞胎 (DT)、物联网 (IoT) 和大数据 (BD) 在转变预测性维护 (PdM) 和状态监测 (CM) 中的作用。该研究提出了一个六层框架,旨在增强工业系统的可持续性、以人为本性和复原力。该框架包括数据采集层、处理层、人机界面层、维护执行层、反馈层和弹性层。此外,还介绍了一个关于锅炉给水泵的案例研究,展示了该框架的潜在优势,如减少停机时间、延长使用寿命、实时设备监控和提高效率。这项研究的结果强调了将人类智能与先进技术相结合,以实现协作和自适应工业环境的重要性,并提出了未来研究的领域。
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引用次数: 0
期刊
Results in Engineering
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