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作者： Sun, Yougang Wang, Sumei Lu, Yang Xu, Junqi Institute of Rail Transit Tongji University Shanghai China National Maglev Transportation Engineering R&D Center Tongji University China National Rail Transit Electrification and Automation Engineering Technology Research Centre Hong Kong Branch Hong Kong Polytechnic University Hong Kong

The maglev trains are strongly nonlinear and open-loop unstable systems with external disturbances and parameters uncertainty. In this paper, the Gaussian process method is utilized to get the dynamic parameters, and a backstepping sliding mode controller is proposed for magnetic levitation systems (MLS) of maglev trains. That is, for a MLS of a maglev train, a nonlinear dynamic model with accurate parameters is obtained by the Gaussian process regression method, based on which a novel robust control algorithm is designed. Specifically, the MLS is divided into two sub-systems by a backstepping method. The inter virtual control inputs and the Lyapunov function are constructed in the first sub-system. For the second sub-system, the sliding mode surface is constructed to fulfil the design of the whole controller to asymptotically regulate the airgap to a desired trajectory. The stability of the proposed control method is analyzed by the Lyapunov method. Both simulation and experimental results are included to illustrate the superior performance of the presented method to cope with parameters perturbations and external disturbance. © 2022 Polish Society of Theoretical and Allied Mechanics. All rights reserved.

关键词： Sliding mode control

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Co-production of hydrochar and bioactive compounds from Ulva lactuca via a hydrothermal process

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Carbon resources Conversion 2024年第1期7卷 1-9页

作者： Edy Hartulistiyoso Obie Farobie Latifa A Anis Novi Syaftika Asep Bayu Apip Amrullah Navid r.Moheimani Surachai Karnjanakom Yukihiko Matsumura Department of Mechanical and Biosystem Engineering IPB UniversityBogorWest Java 16002Indonesia Surfactant and Bioenergy Research Center(SBRC) IPB UniversityBogorWest Java 16144Indonesia Research Centre for Industrial Process and Manufacturing Technology National Research and Innovation Agency(BRIN)TangerangSelatanIndonesia Research Center for Vaccine and Drugs National Research and Innovation Agency(BRIN)BogorWest Java 16911Indonesia Department of Mechanical Engineering Lambung Mangkurat UniversityBanjarmasinSouth KalimantanIndonesia Algae R&D Centre Harry Butler InstituteMurdoch UniversityMurdochWA 6150Australia Department of Chemistry Rangsit UniversityPathumthani 12000Thailand Graduate School of Advanced Science and Engineering Hiroshima University1-4-1 KagamiyamaHigashi-Hiroshima 739-8527Japan

This study investigates the simultaneous production of hydrochar and bioactive compounds from Ulva lactuca via a hydrothermal *** experiment was carried out using a batch reaction vessel at different reaction temperatures of 180-220◦C and various holding times of 30-90 *** expected,both temperature and time vigorously influenced hydrochar and bioactive compound *** maximum hydrochar yield was at 32.4 wt%.The higher heating value(HHV)of hydrochar was observed in the range of 17.68-21.07 MJ kg^(-1),near the energy content of low-rank *** hydrochars exhibited contact angles higher than 90°(i.e.,94-108°)for a longer time,confirming their hydrophobic *** scanning electron microscope analysis(SEM)showed that the hydrothermal process enables cracks in the spherical shape of raw *** into small and porous *** producing hydrochar,the hydrothermal process of *** also gives promising antioxidants and phenolics as bioactive *** highest total phenolic content and antioxidant activity could be achieved in hydrolysate at 200℃and 30 min with the value of 1.20±0.12 mg/g and 71.6±1.3%,respectively.

关键词： Algae Bioactive compound Hydrochar Hydrothermal Seaweed

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The characteristics of temperature-responsive ionic liquids on the integrated operational effectiveness of water reclamation from semiconductor wastewater using forward osmosis

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Chemosphere 2025年 371卷 144059页

作者： Shih, Cheng-En Kuan, Wen-Hui Department of Safety Health and Environmental Engineering Ming Chi University of Technology New Taipei City243303 Taiwan Center for Sustainability and Energy Technologies Chang Gung University Taoyuan33323 Taiwan Biochemical Technology R&D Center Ming Chi University of Technology New Taipei City243303 Taiwan Chronic Diseases and Health Promotion Research Center Chang Gung University of Science and Technology Chiayi61363 Taiwan

Large amounts of wastewater are produced from semiconductor manufacturing, and the production energy consumption has skyrocketed with its global demand in recent years. Forward osmosis (FO) provides unique merits in reclaiming the wastewater if suitable draw solutes with high water flux, low leakage, and limited energy requirement in regeneration are available. Two lower critical solution temperature-ionic liquids (LCST-ILs), tetrabutylphosphonium trimethylbenzensulfonate ([P4444][TMBS]) and tetrabutylphosphonium maleate ([P4444][Mal]) were synthesized and systematically assessed as recycled draw solutes in FO for the water reclamation from the wastewater of Si-ingot sawing. The water flux of [P4444][TMBS] and [P4444][Mal] was 4.12 and 2.67 LMH in the FO for the authentic sawing wastewater, respectively. The characteristics of relatively higher hydrophobic and the structure configuration ensure the lower thermal-stimulus separation energy (Ets) of the spent [P4444][Mal] solution and its relative ease in recycling because of the higher regeneration ratio. The more hydrophilic [P4444][TMBS] based draw solution (dS) exhibits higher osmotic pressure, which is beneficial for water filtration but leads to higher Ets. The estimated energy required for the integrated processes, including FO filtration for the sawing wastewater, thermal separation of draw solute, and the reclaimed water polishing, for the system with [P4444][Mal] as draw solutes is 14.22 kWh m−3. The value significantly reduced to 1.33 kWh m−3 if low-grade waste heat ( © 2024

关键词： Water filtration

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Evaluation of mechanical properties on kenaf fiber reinforced granite nano filler particulates hybrid polymer composite

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Materials Today: Proceedings 2022年 59卷 1345-1348页

作者： raja, T. Mohanavel, V. Suresh Kumar, S. rajkumar, S. ravichandran, M. Subbiah, ram Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai600062 India Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Tamil Nadu Chennai600073 India Department of Mechanical Engineering Panimalar Polytechnic College Tamil Nadu Chennai600029 India Department of Mechanical Engineering Faculty of Manufacturing Institute of Technology Hawassa University Ethiopia Department of Mechanical Engineering K. Ramakrishnan College of Engineering Tamil Nadu Trichy 621 112 India Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Telangana Hyderabad500090 India

Natural fibers are prime focus as a potential alternate material instead of synthetic fiber to making the composite material for automobile applications. In this work, kenaf fiber was selected as reinforcement material, granite powder act as a filler material and the epoxy polymer used as matrix material to fabricate the composite laminates by hand layup method with varying the fiber and filler weight ratio of three different samples. To analyses the mechanical properties of tensile, flexural strength, impact energy and hardness of hybrid composite. The results are revealed when the addition of kenaf fiber can improve the tensile and flexural strength are 35.16 MP and 39.54 MPa respectively. In the sudden force experiment was given maximum impact energy of 15 J for sample C, also the hardness number was varied in maximum of sample B is 54. The surface morphology of hybrid composite was conducted through microscopic analysis for all the fabricated samples before conducting the mechanical test. © 2021

关键词： Hybrid composites

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A Soft, Multi-Layer, Kirigami Inspired robotic Gripper with a Compact, Compression-Based Actuation System

A Soft, Multi-Layer, Kirigami Inspired Robotic Gripper with ...

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IEEE/rSJ International Conference on Intelligent robots and Systems (IrOS)

作者： Joao Buzzatto Junbang Liang Mojtaba Shahmohammadi Saori Matsunaga rintaro Haraguchi Toshisada Mariyama Bruce A. Macdonald Minas Liarokapis Department of Mechanical and Mechatronics Engineering New Dexterity research group University of Auckland New Zealand Information Technology R&D Center Mitsubishi Electric Corporation Japan Advanced Technology R&D Center Mitsubishi Electric Corporation Japan Department of Electrical Computer and Software Engineering Centre for Automation and Robotic Engineering Science University of Auckland New Zealand

Over the last decade, a plethora of soft robotic devices have been proposed for the execution of complex grasping and dexterous manipulation tasks. Tasks requiring such increased dexterity are typically executed using fully-actuated, rigid end-effectors equipped with sophisticated sensing and controlled with complex control laws. The new class of soft robotic devices offers an alternative to the traditional end-effectors and facilitates the development of robotic grasping and manipulation solutions that are lightweight, safe to interact with, affordable, and easy to use and control. Within the class of soft robotic grippers and hands, promising recent developments were made in ultra-affordable, even disposable mechanisms based on origami and kirigami structures. This paper proposes a new kirigami-inspired robotic gripper geometry employing compression-based actuation. The compression actuation fundamentally differentiates this new design class from previous kirigami grippers, resulting in more compact robotic grippers with superior grasping capabilities. In particular, we investigate how the shapes of the internal cuts of the kirigami geometries can affect the gripper performance in terms of force exertion and grasping capabilities. A series of experiments are conducted to understand better the working principles behind this new type of kirigami grippers and experimentally validate their efficacy in the execution of complex, everyday life tasks. Further demonstrations of the gripper's capabilities include the pick-and-placing of human hair, egg yolk, and even liquids.

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Employing Multi-Layer, Sensorised Kirigami Grippers for Single-Grasp Based Identification of Objects and Force Exertion Estimation

Employing Multi-Layer, Sensorised Kirigami Grippers for Sing...

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IEEE/rSJ International Conference on Intelligent robots and Systems (IrOS)

作者： Junbang Liang Joao Buzzatto Bryan Busby ricardo V. Godoy Saori Matsunaga rintaro Haraguchi Toshisada Mariyama Bruce A. Macdonald Minas Liarokapis Department of Mechanical and Mechatronics Engineering The New Dexterity research group The University of Auckland New Zealand The Information Technology R&D Center Mitsubishi Electric Corporation Japan The Advanced Technology R&D Center Mitsubishi Electric Corporation Japan Department of Electrical Computer and Soft-ware Engineering The Centre for Automation and Robotic Engineering Science The University of Auckland New Zealand

Soft robotic devices have been popular in handling intricate grasping and dexterous manipulation tasks, serving as an alternative to conventional, rigid end-effectors. These devices are relatively simple, lightweight, and cost-effective. recently, kirigami based structures have been used to create low-cost and disposable soft robotic grippers and hands. These grippers undergo a complex post-contact reconfiguration and conform to an object's shape and size during grasping. In this paper, we explore this new class of soft robotic grippers by utilising them for single-grasp object classification and grasping force estimation. We install simplistic sensors on both the gripper and the actuation system to estimate the state of the kirigami gripper, and the collected data features are employed to train random Forest models for identifying the grasped object. The classifier trained exhibits a high accuracy of 98 % in discriminating objects of various shapes. When handling food items, the classifier achieves an accuracy of 94 %, while in classifying transparent objects, the classifier obtained again a high accuracy of 97 %. Finally, object-specific force estimation models are triggered based on the classification decision of the random Forest model to estimate the grasping force exerted by the gripper. These positive outcomes demonstrate the kirigami based robotic gripper's potential for object classification in a variety of circumstances, particularly where vision systems are not available or not reliable.

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Enhancing Oral Cancer Screening with deep Learning Algorithms 1

Enhancing Oral Cancer Screening with Deep Learning Algorithm...

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1st International Conference on Computing, Sciences and Communications, ICCSC 2024

作者： Bhaskar, Attarde Viren Soujanya, A. ramal, P. Janaki Santhana Lakshmi, S. Nithyakalyani, K. Kumar, Bharathi ramesh Dr. D.Y. Patil Medical College Hospital & Research Centre Pimpri Department of Critical Care Medicine Pune India CVR College of Engineering Ibrahimpatnam Department of Computer Science and Engineering Telangana India Saveetha Engineering College Chennai Department of Computer Science Engineering Tamil Nadu India Mohamed Sathak A.J.college of Engineering Siruseri Department of Computer Science and Engineering Chennai India Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Chennai Department of Biomedical Engineering Tamil Nadu India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Department of Mathematics Chennai India

ISBN: (纸本)9798350353648

The majority of the conventional approaches used in current oral cancer screening methods, such as biopsy and visual inspection, result in late-stage detection, high false-positive/negative rates, and higher healthcare expenses. These techniques need specialized staff and are labor-intensive and subjective. To improve diagnostic speed and accuracy, the research offers a unique approach that makes use of deep learning methods, particularly Transformer models and Hybrid Neural Networks (HNNs). To enhance input quality, the system incorporates sophisticated image preparation methods such as data augmentation and normalization. While HNNs integrate Convolutional Neural Networks (CNNs) and recurrent Neural Networks (rNNs) for robust feature extraction and temporal analysis, Transformers use attention techniques to extract contextual information. Its potential for early and accurate oral cancer detection is highlighted by the results, which show a significant improvement in detection accuracy (94% vs. 80-85% in existing systems), sensitivity (90% vs. 70-78%), and specificity (92% vs. 75-82%), along with a reduction in processing time to just 2 minutes. © 2024 IEEE.

关键词： Convolutional neural networks

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Superplasticity of a friction stir processed overaged WE54 magnesium alloy

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Journal of Magnesium and Alloys 2022年第11期10卷 3156-3166页

作者： Oscar A.ruano Marta Alvarez-Leal Alberto Orozco-Caballero Fernando Carreño Physical Metallurgy Department CENIM-CSICAv.Gregorio del Amo 828040 MadridSpain Department of R&D and programmes Technology Centre of Metal-Mechanical and Transport(CETEMET).Avda.1°de Mayos/n.LinaresJaén2370Spain Department of Mechanical Engineering Chemistry and Industrial DesignPolytechnic University of MadridRonda de Valencia 328012MadridSpain

The coarse-grained WE54 magnesium alloy was heat treated in order to have minimum hardness minimizing the effects of precipitates and solid solution. Friction stir processing(FSP) was applied in severe conditions to obtain fine, equiaxed and highly misoriented grains, with grain sizes even less than 1 μm. The high severity of processing demonstrated to have a strong impact in the microstructure. Consequently,the processed materials exhibited excellent superplasticity at the high strain rate 10^(-2)s^(-1), and temperatures between 300 and 400 ℃. The maximum tensile superplastic elongation of 756% was achieved at 400 ℃ thanks to the operation of grain boundary sliding mechanism(GBS). Besides the new data obtained through tensile testing, the paper deals with a transcendental question regarding the large differences in strain rate values at a given stress in the superplastic regime at maximum elongation compared to other magnesium-based alloys. With this is mind, 19 magnesium alloys from 22 different investigations were analyzed to give some light to this behavior that never was treated before. It is proposed that this behavior has to be attributed to the accommodation process, necessary for GBS to occur, which is hindered by reinforcing solutes.

关键词： WE54 magnesium alloy Friction stir processing Processing severity Superplasticity Grain boundary sliding Solutes

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Zero-Valent Iron in Phosphate removal: Unraveling the role of Particle Size and dissolved Oxygen

SSRN

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SSrN 2024年

作者： Huang, Jinhui Jeanne Feng, Shiteng Zhang, Beichen Wang, Jingshu College of Environmental Science and Engineering Sino-Canadian Joint R&D Centre for Water and Environmental Safety Nankai University 38 Tongyan Road Tianjin300350 China School of Environmental Engineering Xuzhou University of Technology Xuzhou221018 China

Zero-valent iron (ZVI) mainly relied on the iron corrosion products (FeCPs) generated in situ to remove phosphate (P). However, P removal based on the size effect of ZVI has not been well investigated. This study selected five sizes of ZVI (50 nm, 500 nm, 5 μm, 50 μm, and 300 μm) during batch and column experiments to study the ZVI size effect during the P removal process. It was found that the corrosion of ZVI with smaller particle sizes (ZVIsps) (50 nm, 500 nm, and 5 μm) was affected by the passivation layer composed of amorphous iron oxides and FePO4 under aerobic conditions, consequently resulting in a P removal rate of only 17.6%. ZVI of 50 μm exhibited a high degree of oxidation, forming a large amount of amorphous iron hydroxides, resulting in a high P removal rate (96.8%). due to the lack of dO in anaerobic conditions, the limitation on the oxidation of ZVIsps was alleviated, and the oxidation of 50 μm ZVI was limited, which exhibited similar P removal rates for all the sizes of ZVI. Aerobic and anaerobic conditions did not affect the P removal of 300 μm ZVI. In addition, 50 μm ZVI exhibited a better P removal rate than 500 nm ZVI in long-term experiments (63 days). This study has advanced the understanding of the influence of ZVI particle size on P removal, offering insights for selecting ZVI particle size in the practical application and preparation of iron-based materials. © 2024, The Authors. All rights reserved.

关键词： Particle size

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Simulation and optimization of CNC cylindrical grinder Performance based on equivalent analysis of joints spring-damping characteristics**

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International Journal of Metrology and Quality engineering 2025年 16卷

作者： Qi, Mingzheng Wang, Han Sun, Xizhi Li, Tianjian Guo, Yang Wu, Tao School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Mechanical and Aerospace Engineering Brunel University London UxbridgeUB8 3PH United Kingdom R&d Centre Wuhan Second Ship Design & Research Institute Wuhan430205 China

This paper focuses on the MKE1620A CNC cylindrical grinder, using an equivalent analysis of the joint spring-damping characteristics to investigate the overall performance of the grinder and propose directions for design optimization. A total of 168 spring-damper elements were established to model the fixed, movable, and bearing joints. These elements were classified and calculated to determine their parameters, which were then incorporated into a finite element analysis model to examine the impact of joint stiffness on the static and dynamic performance of the machine tool, with results showing less than a 10% error compared to actual measured data. Additionally, the paper investigates how the quality of six common structural materials influences the first-order natural frequency of components and explores the relationship between variations in joint stiffness and changes in the machine tool's natural frequency. The findings provide theoretical and data-driven insights for the design and optimization of CNC cylindrical grinding machines, serving as a valuable reference for enhancing machine tool performance and machining quality. © 2025 EdP Sciences. All rights reserved.

关键词： Grinding machines

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