With the advancement of domestic substitution strategies, migrating existing office software systems to domestically produced server platforms has become an urgent mission. This paper centers on the localization trans...
详细信息
automation software is utilized to enhance efficiency and precision in various industries. Nonetheless, the performance and consistency of these software programs require careful monitoring through measurements. At th...
详细信息
The importance of creating and commercializing new products and technologies is essential for the sustainable development of business at the present stage. An important part of these processes is the RP (Rapid Prototy...
详细信息
Biogas is a highly potential renewable fuel source substituting fossil-based natural gas. To commercialize biomethane, biogas purification systems via selective removal of CO2 are a crucial step for the production of ...
详细信息
The sustainability of methane catalytic decomposition is significantly enhanced by the production of high-quality value-added carbon products such as carbon nanotubes(CNTs).Understanding the production yields and prop...
详细信息
The sustainability of methane catalytic decomposition is significantly enhanced by the production of high-quality value-added carbon products such as carbon nanotubes(CNTs).Understanding the production yields and properties of CNTs is crucial for improving process feasibility and *** study employs machine learning technique to develop and analyze predictive models for the carbon yield and mean diameter of CNTs produced through methane catalytic *** comprehensive datasets from various experimental studies,the models incorporate variables related to catalyst composition,catalyst preparation,and operational *** models achieved high predictive accuracy,with R^(2)values exceeding ***,the reduction time during catalyst preparation was found to critically influence carbon yield,evidenced by a permutation importance value of 39.62%.Additionally,the use of Mo as a catalytic metal was observed to significantly reduce the diameter of produced *** findings highlight the need for future machine learning and simulation studies to include catalyst reduction parameters,thereby enhancing predictive accuracy and deepening process *** research provides strategic guidance for optimizing methane catalytic decomposition to produce enhanced CNTs,aligning with sustainability goals.
Proton exchange membrane (PEM) based electrochemical systems have the capability to operate in fuel cell (PEMFC) and water electrolyser (PEMWE) modes, enabling efficient hydrogen energy utilisation and green hydrogen ...
详细信息
Proton exchange membrane (PEM) based electrochemical systems have the capability to operate in fuel cell (PEMFC) and water electrolyser (PEMWE) modes, enabling efficient hydrogen energy utilisation and green hydrogen production. In addition to the essential cell stacks, the system of PEMFC or PEMWE consists of four sub-systems for managing gas supply, power, thermal, and water, respectively. Due to the system's complexity, even a small fluctuation in a certain sub-system can result in an unexpected response, leading to a reduced performance and stability. To improve the system's robustness and responsiveness, considerable efforts have been dedicated to developing advanced control strategies. This paper comprehensively reviews various control strategies proposed in literature, revealing that traditional control methods are widely employed in PEMFC and PEMWE due to their simplicity, yet they suffer from limitations in accuracy. Conversely, advanced control methods offer high accuracy but are hindered by poor dynamic performance. This paper highlights the recent advancements in control strategies incorporating machine learning algorithms. Additionally, the paper provides a perspective on the future development of control strategies, suggesting that hybrid control methods should be used for future research to leverage the strength of both sides. Notably, it emphasises the role of artificial intelligence (AI) in advancing control strategies, demonstrating its significant potential in facilitating the transition from automation to autonomy.
In industries like screen printing, precise chemical mixing is crucial for optimal results. However, traditional manual methods can lead to inconsistencies and errors. To address this challenge, we propose an IoT-enab...
详细信息
The mass production of identical products with high precision and accuracy heavily relies on dies and molds. In particular, the project-based die manufacturing process is crucial for introducing new products to the ma...
详细信息
作者：
Li, TianzhiWang, JinzhiPeking University
State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Beijing100871 China
Gaussian process regression has been extensively studied due to its ability for learning and predicting a dynamic process. Though this data-driven approach has received considerable attention, it shows the drawback of...
详细信息
The 4th Industrial Revolution has driven innovations in integrating Information Technologies (IT) with Operations Technologies (OT). This integration is essential for developing Cyber-Physical production Systems (CPPS...
详细信息
暂无评论