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Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023

作者： Leelasirinuwong, Mintra Denkasineecharoen, Phebe Yungyuentrrakoon, Pin Jitpratak, Pannathorn Kongsawang, Nuntaporn Pathak, Akhilesh Kumar Viphavakit, Charusluk Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Biomedical Engineering Program Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Intelligent Control Automation of Process Systems Research Unit Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand

A molecular imprinted polymer-based optical sensor is proposed to detect methanol. The sensor is tested with different concentrations of methanal vapour for sensitivity and ethanol for selectivity. The result shows a ... 详细信息

ISBN: (纸本)9781957171241

关键词： Optical sensors

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Biomass as an alternative solution to energy production and reduction of the greenhouse gas emissions: a review

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International Journal of Power and Energy Conversion 2025年第1期16卷 78-99页

作者： Abouallal, Hafida El Idrissi, Ayoub Najah Dkhireche, Nadia Touhami, Mohammed Ebn Laboratory of Advanced Material Engineering Process Department of Chemistry Faculty of Sciences Ibn Tofail University University Campus P.O. Box 242 Kenitra Morocco Advanced Systems – Engineering Laboratory National School of Applied Science Ibn Tofail University University Campus P.O. Box 242 Kenitra Morocco

The increase in population and the expansion of transportation, agriculture, and industry drive the need for energy, leading to a reliance on fossil fuels as the primary energy source. This reliance results in heightened greenhouse gas emissions and environmental damage. To address this, efforts have been made to harness the diverse range of available biomass for energy production, including gas, heat, and electricity through various conversion methods. This article explores the global availability of biomass for energy production, current energy consumption and production trends, biomass classifications and sources, conversion techniques, challenges hindering biomass implementation, and the potential of biomass as an alternative energy source alongside wind, geothermal, and hydroelectric power to eventually replace fossil fuels. The analysis indicates that biomass holds promise for energy generation and can complement other renewable resources in transitioning away from fossil fuels. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Greenhouse gas emissions

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Unscented Kalman Filter for State of Charge Estimation of Lithium Titanate Battery 20

Unscented Kalman Filter for State of Charge Estimation of Li...

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20th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Dardchuntuk, Joshua Chun-Ken Banjerdpongchai, David Faculty of Engineering Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Pathumwan 254 Phayathai Road Bangkok10330 Thailand

ISBN: (纸本)9798350310467

An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO's electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems. © 2023 IEEE.

关键词： Battery management systems

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Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset 20

Performance Comparison of Lightweight CNN Models for Drone C...

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20th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Zufar, Rifqi Nabila Banjerdpongchai, David Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Faculty of Engineering 254 Phayathai Road Bangkok Pathumwan10330 Thailand

ISBN: (纸本)9798350310467

Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural Network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural Network Pipeline which has a Convolution Neural Network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work. © 2023 IEEE.

关键词： Drones

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Learnable Adaptive and Robust Controller for a Two Particle Carbonate Precipitation process

Learnable Adaptive and Robust Controller for a Two Particle ...

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European Control Conference (ECC)

作者： Mikhail Kakanov Sandesh Athni Hiremath Andreas Voigt Kai Sundmacher Naim Bajcinca Department of Mechanical and Process Engineering RPTU Kaiserslautern Kaiserslautern Germany Faculty of Process and Systems Engineering Institute of Process Engineering Universitätsplatz 2 Magdeburg Germany

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In this work, we introduce a novel learning-based controller tailored for autonomous control of a batch-type precipitation process involving calcium and magnesium carbonates. The process takes in fluid containing valuable materials such as Ca +2 and Mg+2 ions, along with impurities and seed particles, to facilitate the sequential precipitation of these ions into their respective carbonates. The controller's goal is to attain a specified size of the precipitated particles under different process uncertainties. Here the residence time, i.e. the time allowed for the ions to remain in fluid phase, is used as the manipulation variable. The controller is designed as a solution to a stochastic optimal control problem and implemented using machine learning techniques. For the prediction model, we use convolutional neural networks (CNN) and for the control synthesis, we use a type of recurrent neural networks (RNNs). The designed control is learnable, adaptable to varying process dynamics and robust to random disturbances in the process, thus resulting in a learnable adaptive, and robust controller (LARC). The effectiveness of LARC is validated through different simulation-based tests.

关键词： Training Temperature measurement Adaptation models Precipitation Recurrent neural networks process control Stochastic processes

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Shape estimation for a TPU-based multi-material 3D printed soft pneumatic actuator using deep learning models

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Science China(Technological Sciences) 2024年第5期67卷 1470-1481页

作者： HU Yu TANG Wei QU Yang XU HuXiu KRAMARENKO Yu.Elena ZOU Jun State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou310058China School of Mechanical Engineering Zhejiang UniversityHangzhou310027China Institute of Process Equipment College of Energy EngineeringZhejiang UniversityHangzhou310027China Faculty of Physics Lomonosov Moscow State UniversityMoscow119991Russia Enikolopov Institute of Synthetic Polymeric Materials of Russian Academy of Sciences Moscow117393Russia

Real-time proprioception presents a significant challenge for soft robots due to their infinite degrees of freedom and intrinsic *** studies mostly focused on specific sensors and *** is still a lack of generalizable technologies for integrating soft sensing elements into soft actuators and mapping sensor signals to proprioception *** tackle this problem,we employed multi-material 3D printing technology to fabricate sensorized soft-bending actuators(SBAs)using plain and conductive thermoplastic polyurethane(TPU)*** designed various geometric shapes for the sensors and investigated their strain-resistive performance during *** address the nonlinear time-variant behavior of the sensors during dynamic modeling,we adopted a data-driven approach using different deep neural networks to learn the relationship between sensor signals and system states.A series of experiments in various actuation scenarios were conducted,and the results demonstrated the effectiveness of this *** sensing and shape prediction steps can run in real-time at a frequency of50 Hz on a consumer-level ***,a method is proposed to enhance the robustness of the learning models using data augmentation to handle unexpected sensor *** the methods are efficient,not only for in-plane 2D shape estimation but also for out-of-plane 3D shape *** aim of this study is to introduce a methodology for the proprioception of soft pneumatic actuators,including manufacturing and sensing modeling,that can be generalized to other soft robots.

关键词： shape estimation soft sensors and actuators 3D printing deep learning in robotics

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Sustainable and untethered soft robots created using printable and recyclable ferromagnetic fibers

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Bio-Design and Manufacturing 2024年第6期7卷 926-937页

作者： Wei Tang Yidan Gao Zeyu Dong Dong Han Vadim V.Gorodov Elena Y.Kramarenko Jun Zou State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310058China School of Mechanical Engineering Zhejiang UniversityHangzhou 310058China Institute of Process Equipment College of Energy EngineeringZhejiang UniversityHangzhou 310027China Faculty of Physics Lomonosov Moscow State UniversityMoscow 119991Russia Enikolopov Institute of Synthetic Polymeric Materials of Russian Academy of Sciences Moscow 117393Russia

Integrated printing of magnetic soft robots with complex structures using recyclable materials to achieve sustainability of the soft robots remains a persistent ***,we propose a kind of ferromagnetic fibers that can be used to print soft robots with complex *** ferromagnetic fibers are recyclable and can make soft robots *** ferromagnetic fibers based on thermoplastic polyurethane(TPU)/NdFeB hybrid particles are extruded by an *** use a desktop three-dimensional(3D)printer to demonstrate the feasibility of printing two-dimensional(2D)and complex 3D soft *** printed soft robots can be recycled and reprinted into new robots once their tasks are ***,these robots show almost no difference in actuation capability compared to prior versions and have new *** applications include lifting,grasping,and moving objects,and these functions can be operated untethered *** addition,the locomotion of the magnetic soft robot in a human stomach model shows the prospect of medical ***,these fully recyclable ferromagnetic fibers pave the way for printing and reprinting sustainable soft robots while also effectively reducing e-waste and robotics waste materials,which is important for resource conservation and environmental protection.

关键词： Ferromagnetic fibers Sustainable soft robots Three-dimensional printing Recyclable soft materials Medical applications

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Analysis of Free Fatty Acids (FFA) in Palm Oils Based on the Raman Spectra

Analysis of Free Fatty Acids (FFA) in Palm Oils Based on the...

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2023 IEEE International Conference on Automatic Control and Intelligent systems, I2CACIS 2023

作者： Shaharuzzaman, Siti Nurshaheera Hashim, Fazida Hanim Sajab, Mohd Shaiful Huddin, Aqilah Baseri Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Electrical Electronic and Systems Engineering Selangor Bandar Baru Bangi Malaysia Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Malaysia Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Chemical and Process Engineering Malaysia

ISBN: (纸本)9798350321302

Palm oil is a stable vegetable oil with various uses in both the food and non-food industries. The quality of edible palm oil is measured by its content of free fatty acids (FFA), which should be below 5% to be safely consumed and used, according to The Palm Oil Refiners Association of Malaysia (PORAM). Current titration methods require that the oil sample be dissolved in neutralized ethanol/diethyl, which is a long process that can damage the sample and cause delays and losses in the process. The focus of this study is to analyze the FFA in palm oils based on the Raman spectra of palm oil samples and oil palm fruitlets. Four samples of commercially available palm oils of different qualities, as well as 47 samples of oil palm fruitlets, were used in this study. The Raman spectra of all samples were collected via point scanning using a confocal microRaman imaging spectrometer with a 532 nm laser source. Manual spectrum pre-processing was performed with baseline correction and data filtering using Savitzky-Golay filters. Possible FFA peaks characteristics on the Raman spectrum were then identified through signal interpolation, signal deconvolution, and curve fitting. Statistical analysis was conducted on the extracted features to remove those with low statistical values, thus helping the machine learning algorithms to train the classifier models more efficiently. From this study, it was found that peaks at 1155 cm-1, 1525 cm-1, 1440 cm-1, and 1655 cm-1 from the Raman spectrum were highly correlated with the FFA levels of palm oils obtained through titration. The peak ratios of 1525 cm-1/1655 cm-1 and 1155 cm-1/1655cm-1 also showed a good and fast relationship for analyzing the FFA content of palm oil. © 2023 IEEE.

关键词： Curve fitting

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Integrated System of Solid Oxide Fuel Cell and Ethanol Partial Oxidation: process Simulation and Heat Exchanger Network 6th

Integrated System of Solid Oxide Fuel Cell and Ethanol Parti...

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6th International on Clean Energy and Electrical systems, CEES 2024

作者： Saebea, Dang Thanomjit, Chollaphan Arpornwichanop, Amornchai Patcharavorachot, Yaneeporn Interdisciplinary Centre for Decarbonisation & Green Energy Department of Chemical Engineering Faculty of Engineering Burapha University Chonburi20131 Thailand Center of Excellence in Process and Energy Systems Engineering Department of Chemical Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Department of Chemical Engineering School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok10520 Thailand

ISBN: (纸本)9789819757749

A solid oxide fuel cell (SOFC) fueled by reformate obtained from an ethanol partial oxidation (POX) was investigated regarding electrical and the thermal performances. Performance analysis was performed through Aspen Plus simulator. Gas compositions obtained from POX and SOFC were computed through the Gibbs free energy minimization method. Three voltage losses that include activation, ohmic and concentration losses was considered in an electrochemical model. Effects of operating parameters in both POX and SOFC on performance of SOFC-POX system were examined. From the simulation results, it was found that the suitable condition of POX was at the reformer temperature of 700 ℃ and oxygen to ethanol molar ratio of 0.1. While, the operating temperature of SOFC should be 900 ℃. Under these operating conditions, the maximum electrical and thermal efficiencies of 67.24% and 25.77%, respectively, can be achieved. Finally, the heat integration of the SOFC-POX system was considered using pinch analysis. The minimum cold utility is 88.1 kW while the hot utility is no need for this system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Free energy

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STUDY OF PARTICLE DYNAMICS THROUGH A KAPLAN TURBINE 15

STUDY OF PARTICLE DYNAMICS THROUGH A KAPLAN TURBINE

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15th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics 2023, ETC 2023

作者： Ghenaiet, A. Laboratory of Energy Conversion Systems Faculty of Mechanical Engineering and Process Engineering University of Science and Technology Houari Boumediene BP32 El-Alia Bab-Ezzouar16111 Algeria

Particle-laden flows cause erosion of turbomachinery and the outcome is a gradual damage until the breakdown of blades. This paper investigates the dynamics of erodent particles suspended by water flow and the development of erosion wear through a prototype of a Kaplan turbine. The computation of sand particle trajectory used an in-house particle tracking code which considers the turbulence effect, random particle size and shape and restitution factors which are described statistically. The positions of particles are tracked along each component and transferred locally across the stationary/rotating interface. The particles number and random sizes and their release positions followed the particle concentration and size distribution. The highly twisted rotor blades with a rounded tip resulted in leakage and secondary flows and thus a complex fluid-particle interaction. The particle dynamics, induced impacts and erosion rates and their development is shown to depend upon the flow field, particle size and concentration. The blades are eroded, mainly at the fore part, and the mass rate of erosion reached 3.784×10-3 mg/hr compared with the vanes equals to 1.289×10-4 mg/hr. The revealed regions of marked erosion densities provide the necessary information to limit erosion wear development. Copyright © by the Authors.

关键词： Erosion

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