Accurate prediction of strip width is a key factor related to the quality of hot rolling ***,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calculation model is...
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Accurate prediction of strip width is a key factor related to the quality of hot rolling ***,based on strip width formation mechanism model within strip rolling process,an improved width mechanism calculation model is delineated for the optimization of process parameters via the particle swarm optimization ***,a hybrid strip width prediction model is proposed by effectively combining the respective advantages of the improved mechanism model and the data-driven *** acknowledgment of prerequisite for positive error in strip width prediction,an adaptive width error compensation algorithm is ***,comparative simulation experiments are designed on the actual rolling dataset after completing data cleaning and feature *** experimental results show that the hybrid prediction model proposed has superior precision and robustness compared with the improved mechanism model and the other eight common data-driven models and satisfies the needs of practical ***,the hybrid model can realize the complementary advantages of the mechanism model and the data-driven model,effectively alleviating the problems of difficult to improve the accuracy of the mechanism model and poor interpretability of the data-driven model,which bears significant practical implications for the research of strip width control.
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...
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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.
Recently, machine learning (ML) has become a crucial tool for enhancing process quality control in manufacturing plants. However, real-time assessments are often challenging. Soft sensors, which can predict process qu...
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Industrial cyber-physical systems closely integrate physical processes with cyberspace, enabling real-time exchange of various information about system dynamics, sensor outputs, and control decisions. The connection b...
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Industrial cyber-physical systems closely integrate physical processes with cyberspace, enabling real-time exchange of various information about system dynamics, sensor outputs, and control decisions. The connection between cyberspace and physical processes results in the exposure of industrial production information to unprecedented security risks. It is imperative to develop suitable strategies to ensure cyber security while meeting basic performance *** the perspective of control engineering, this review presents the most up-to-date results for privacy-preserving filtering,control, and optimization in industrial cyber-physical systems. Fashionable privacy-preserving strategies and mainstream evaluation metrics are first presented in a systematic manner for performance evaluation and engineering *** discussion discloses the impact of typical filtering algorithms on filtering performance, specifically for privacy-preserving Kalman filtering. Then, the latest development of industrial control is systematically investigated from consensus control of multi-agent systems, platoon control of autonomous vehicles as well as hierarchical control of power systems. The focus thereafter is on the latest privacy-preserving optimization algorithms in the framework of consensus and their applications in distributed economic dispatch issues and energy management of networked power systems. In the end, several topics for potential future research are highlighted.
One of the most critical processes in the petroleum industry is transporting crude oil and its derivatives. Usually, it is done, due to easiness and economic aspects, through pipelines;several products, such as gasoli...
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Quantum computing represents an emerging technology, that leverages the fundamental principles of quantum mechanics to solve highly complex problems that are beyond the capabilities of classical computers. Due to the ...
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Industrial automation has become a cornerstone of modern manufacturing, enhancing efficiency, reliability, and scalability. The integration of intelligent control algorithms, such as fuzzy logic, neural networks, gene...
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In this paper, we designed a tidal irrigation cultivation device for the demand of efficient water-saving irrigation technology in facility agriculture, and demonstrated and popularized the device by deeply analyzing ...
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As part of the fourth industrial revolution, data analysis and artificial intelligence are being integrated into productionprocesses. In addition, energy consumption and CO2 costs are becoming decisive factors in the...
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This is a comprehensive exploration of the intricate convective heat and mass transfer phenomena occurring within the context of pool boiling of sugarcane juice during the jaggery productionprocess. Through a meticul...
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