process optimization of an automatic yogurt filling machine involves identifying areas for improvement and implementing changes to enhance efficiency, productivity, and overall performance. Some steps that can be take...
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ISBN:
(纸本)9798350315684
process optimization of an automatic yogurt filling machine involves identifying areas for improvement and implementing changes to enhance efficiency, productivity, and overall performance. Some steps that can be taken to optimize the process include analyzing the current process, setting performance goals, evaluate technology and equipment, automation and robotics, workflow optimization, sensor and control systems, data-driven decision-making, and continuous monitoring and maintenance. This article centers around the process optimization of a cutting-edge, fully automatic yogurt and flavors filling machine, built based on the principles of Industry 4.0. The machine's settings were transformed to achieve full flexibility, enabling each filling point to handle both yogurt and various flavors. To minimize the overall processing time for order execution, a mathematical model was meticulously devised. The performance of this proposed model was evaluated by comparing it with previously published models. The results indicate that the proposed model outperforms its predecessors, demonstrating superior efficiency and effectiveness.
Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development ...
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ISBN:
(纸本)9798350364309;9798350364293
Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and accidents. They also support the development of advanced driver assistance systems and autonomous vehicles, relying on precise positioning data for safe navigation. One of the solutions involves using image processing algorithms, which can have two approaches. One approach is decentralized, in which each vehicle performs its own computing steps and determines its position concerning the other nearby vehicles. The second approach, proposed in this paper, is centralized, where each vehicle sends data to a server that uses cloud computing to process all the data in real-time. As such, vehicles can create a more comprehensive view of the driving conditions in the area by using either of these two approaches, which can help them anticipate potential hazards and make more informed decisions.
Posicast control is a strategy employed for overshoot compensation of lightly damped systems. Its classical approach is mainly used in a feedforward setup to compensate for the system's initial oscillation. Howeve...
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ISBN:
(纸本)9798350315684
Posicast control is a strategy employed for overshoot compensation of lightly damped systems. Its classical approach is mainly used in a feedforward setup to compensate for the system's initial oscillation. However, if the system has a parametric uncertainty and high oscillation, the Posicast control effectiveness is reduced. This paper presents the design of a Self Optimizing Posicast controller with an online optimizing agent to effectively mitigate the oscillatory behaviour and overshoot on highly oscillatory systems. The controller comprises of a closed-loop setup regulator, a posicast filter, and an online optimizer based on the Globalized Constrained Nelder-Mead optimization algorithm to perform real-time estimation of the controller and posicast filter parameters. The proposed framework improves the system's robustness under parametric uncertainty and is validated for a flyback converter on voltage regulation tasks.
In this work, a centralized MIMO (Multiple-Input Multiple-Output) integer-order control and a centralized MIMO fractional-order control, both wireless, are implemented in order to simultaneously control the water leve...
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Energy-intensive industries can adapt to help balance the power grid. By using a real-world case study of a zinc galvanizing process in Denmark, we show how a modest investment in power control of the furnace enables ...
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ISBN:
(纸本)9798350318562;9798350318555
Energy-intensive industries can adapt to help balance the power grid. By using a real-world case study of a zinc galvanizing process in Denmark, we show how a modest investment in power control of the furnace enables the provision of various ancillary services. We consider two types of services, namely frequency containment reserve (FCR) and manual frequency restoration reserve (mFRR), and numerically conclude that the monetary value of both services is significant, such that the pay-back time of investment is potentially within a year. The FCR service provision is more preferable as its impact on the temperature of the zinc is negligible.
Efficiency in power dispatch systems is critical to ensure as it depends on the optimal resource utilization and maintaining grid stability. As power systems evolve into data-intensive environments, traditional centra...
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According to the control requirements of the hydroxypropyl methyl cellulose etherification reaction section, this article optimized the control design of the traditional hydroxypropyl methyl cellulose etherification r...
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Ultra-precision polishing is a complex process that involves polishing surfaces with nanometre-level accuracy. Even though much of the process is performed using computer numerically controlled (CNC) machines, fully a...
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ISBN:
(纸本)9798350315684
Ultra-precision polishing is a complex process that involves polishing surfaces with nanometre-level accuracy. Even though much of the process is performed using computer numerically controlled (CNC) machines, fully autonomous manufacturing of such fine parts is currently not feasible. The complexity of the process, lack of perfect determinism, surface inaccessibility during the polishing process, and the need for extensive expert knowledge all present significant challenges in ultra-precision manufacturing. In this work, we present a system design for monitoring parameters in the ultra-precision bonnet polishing process, such as the chemical properties of the polishing slurry or tool forces during the process. We also share some initial findings and challenges encountered during the validation stage of the system, which require further consideration. Additionally, we outline our plan for implementing machine learning in material removal rate estimation for bonnet polishing.
Enhancing the geometric accuracy of additive manufacturing (AM) processes remains a vital challenge, particularly in the context of directed energy deposition (DED). This paper investigates the use of a laser line sca...
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ISBN:
(纸本)9798350315684
Enhancing the geometric accuracy of additive manufacturing (AM) processes remains a vital challenge, particularly in the context of directed energy deposition (DED). This paper investigates the use of a laser line scanner for real-time layer height estimation during the DED process. The proposed system offers a method for 3D reconstruction and optimized layer height estimation for a multi-axis DED system using computer vision, enabling adaptive control and quality assurance in DED manufacturing. Experimental results demonstrate the effectiveness of the laser line scanner in achieving higher geometric accuracy in printed objects. The findings contribute to closed-loop control methodologies in AM, paving the way for a broader adoption of DED technology.
The convergence of Industrial automation, Cloud computing, and the Industrial IoT Devices has sparked a transformative paradigm shift across diverse industries. This synergy harnesses the power of interconnected smart...
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