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Trends in Material Science and Inventive Materials (ICTMIM), International Conference on

作者： Rajesh Munirathnam Rohit P. Jadhav Nilesh M. Mahajan Amit Barve M. E. Shashi Kumar Natrayan L Data & Analytics Division TechnoGen Inc Hillsborough New Jersey USA Department of Robotics and Automation D.Y. Patil College of Engineering Akurdi Pune Maharashtra Department of Computer Science and Engineering Parul Institute of Technology Faculty of Engineering and Technology Parul University Limda Gujarat Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru Karnataka Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

Electric Vehicle (EV) charging demand prediction, while essential for optimizing charging infrastructure and energy management, faces challenges such as data inaccuracies and uncertainties in user behavior patterns. These issues define inaccurate demand forecasts which cause the wrong placement of charging stations and distribution of energy. Also, as the pattern of the EV charging is not static may change due to many factors such as climate, time of day, price preference among others, the prediction models may not handle the dynamism and hence lower the reliability of the forecast results. To overcome these drawbacks, this manuscript proposes an efficient approach for EV charging demand prediction. The data is gathered from a dataset on EV charging. The data is then sent to pre-processing. Using the Maximum Correntropy Quaternion Kalman Filter (MCQKF), the pre-processing section eliminates missing values and normalizes the input. To forecast EV charging demand, the Multiresolution Sinusoidal Neural Network (MSNN) receives the results of the pre-processing data. MSNN’s weight parameter is optimized using Addax Optimization (AO). The proposed MSNN-AO is utilized within the MATLAB platform. The proposed MSNN-AO technique is compared with the existing techniques such as Long Short-Term Memory Neural Network (LSTMNN), Heterogeneous Spatial-Temporal Graph Convolutional Network (HSTGNN) and Artificial Neural Networks (ANN), respectively. The MSNN-AO method achieves an accuracy of 97%, precision of 95%, and a Root Mean Square Error (RMSE) of 2.2%, demonstrating its superior performance in predicting EV charging demand. This highlights the proposed method’s effectiveness in minimizing prediction errors, reducing RMSE by 22.36%, and improving precision by 14.89% compared to existing methods. The MSNN-AO method’s higher accuracy and precision, coupled with its robust performance, make it a reliable and efficient solution for EV charging demand forecasting.

关键词： Accuracy Uncertainty Quaternions Energy resolution Electric vehicle charging Reliability Kalman filters Spatial resolution Root mean square Optimization

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A Study on Impact-Aware Aerial Robots Colliding with the Environment at Non-Vanishing Speed

A Study on Impact-Aware Aerial Robots Colliding with the Env...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Gayatri Indukumar Alessandro Saccon Antonio Franchi Chiara Gabellieri Robotics and Mechatronics Department Electrical Engineering Mathematics and Computer Science (EEMCS) Faculty University of Twente Enschede The Netherlands Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

Enabling aerial robots to handle dynamic contacts happening at non-vanishing speeds can enlarge the range of their applications. In this work, we propose an impactaware strategy to allow aerial multirotor robots to recover from impacts. The method leverages a reactive strategy not requiring low-level changes to the motion controller commonly implemented onboard quadrotors, which might be not viable or not desirable for most users. Extensive simulation tests show that the proposed strategy considerably increases the tolerated velocity at impact in tasks in which the robot either picks an object up or collides against an object to clear its way. Preliminary experimental results using Crazyflie UAVs are also presented.

关键词： Trajectory tracking Dynamics Lead Autonomous aerial vehicles Stability analysis Robustness Computer crashes Trajectory Robots Quadrotors

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Ultrafast, High-Intensity Laser Material Interaction in Polycrystalline Alumina Transparent Ceramics

SSRN

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SSRN 2025年

作者： Chong, Poh Yin Wu, Xingzhong Castillo, Gabriel R. Garay, Javier E. Laboratory Mechanical and Aerospace Engineering Department Materials Science and Engineering Program University of California La Jolla San DiegoCA92093 United States

High-intensity pulsed laser-material interaction is a complicated process involving various laser parameters and material properties, and the coupling of these factors affects material modifications. This study investigates the laser-material interactions of single-crystal alumina (SCA) and transparent polycrystalline alumina (PCA). To understand the underlying mechanism of laser-induced modifications, single-shot irradiations are conducted using an ultrafast laser (λ = 1030 nm, τρ = 490 fs). This experiment focuses on the high-intensity regime from 1012 W/cm2 to 1015 W/cm2, generating high temperatures and pressure causing modifications (melting, ablation, and fracture). While SCA and PCA are fundamentally Al2O3, the difference in microstructure alters the optical and mechanical properties. The ablation depth shows a sublinear power law relationship with laser intensity for both materials although the energy dependence is lower for PCA. The differences can be attributed to different damage mechanisms;the laser-induced craters in SCA exhibit predominantly melting whereas PCA demonstrates fracture-like morphologies. The fracture in PCA is surprising given its higher indent-produced fracture resistance. The differences in fracture behavior can be reconciled considering the much higher pressure application rates produced by laser pulsing. PCA has a lower laser-induced damage threshold (LIDT) than SCA. Laser-induced crater area and volume increase linearly with laser fluence and peak intensity. Altering the focusing conditions can change the LIDT and expand the laser processing window. © 2025, The Authors. All rights reserved.

关键词： Single crystals

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Revolutionizing Marine Stability: A Review of Cutting-Edge Gyro Stabilizer Designs and Techniques for Vessels

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IEEE Access 2025年 13卷 89542-89555页

作者： Rahiman, Wan Ghazali, Mohamad Hazwan Mohd Mahmood, Iskandar Al-Thani Universiti Sains Malaysia Engineering Campus School of Electrical and Electronic Engineering Penang Nibong Tebal14300 Malaysia Daffodil International University Daffodil Robotics Lab Department of Computer Science and Engineering Dhaka1216 Bangladesh Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Mechanical and Manufacturing Engineering Selangor Bangi43600 Malaysia PETRONAS Research Sdn Bhd Selangor Kajang43000 Malaysia

Advancement in marine vessel stabilization technologies has greatly improved the safety and comfort for crews, cargo, and passengers, while also lowering the risk of capsizing. Marine vessels operating in open waters experience disturbances from unpredictable waves and strong winds, leading to instability and potential accidents. To mitigate these risks, stabilizers are integrated into ships to maintain stability, safety, and seaworthiness. As modern vessels evolve, stabilizers play an increasingly vital role, with gyro stabilizers emerging as a highly effective solution for mitigating roll motion without external appendages. This paper provides a comprehensive review of gyro stabilizer designs and techniques, covering their historical development, mathematical modeling, advantages, limitations, and case studies. A review of current research highlights a strong emphasis on simulating gyro stabilizer control systems, demonstrating their potential in enhancing vessel stability. However, key challenges persist, including accurate wave moment prediction during the design phase and gyroscopic drift, which can impact long-term performance and efficiency. Despite these challenges, recent advancements in control algorithms and optimization techniques have improved gyro stabilizer adaptability under varying sea conditions. By exploring the latest developments, this review serves as a valuable reference for researchers, engineers, and maritime professionals seeking to advance marine stabilization technologies. The findings underscore the potential of next-generation gyro stabilizers, including fiber optic gyros, in achieving higher precision, stability, and operational efficiency. © 2013 IEEE.

关键词： Warships

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Hyperspectral Image Analysis Using Maximum Abundance Classification

Hyperspectral Image Analysis Using Maximum Abundance Classif...

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International Conference on Intelligent Control and Information Processing (ICICIP)

作者： Nian Zhang Sougre-Nonma Stephanie Rouamba Wagdy H. Mahmoud Lara A. Thompson Department of Electrical and Computer Engineering University of the District of Columbia Washington D.C. USA Department of Mechanical Engineering Biomedical Engineering Program University of the District of Columbia Washington D.C. USA

ISBN: (数字)9798331516147

ISBN: (纸本)9798331516154

This paper presents a satellite hyperspectral image processing method that utilizes a maximum abundance classifier to categorize different regions of hyperspectral images into ground truth classes. First, the class names for each endmember and their corresponding columns in the signature matrix are identified, followed by the visualization of their spectral profiles. Abundance maps for the endmembers are then generated using the fully constrained least squares (FCLS) method. Afterward, the maximum abundance classifier is applied, and the resulting classified image is displayed with color-coded pixels. The abundance maps illustrate the spatial distribution of endmembers across the hyperspectral image, where the abundance values of each pixel represent the proportion of each endmember present. By determining the highest abundance value for each pixel and assigning it to the corresponding endmember class, the pixels within the hyperspectral images are classified. Experimental results demonstrate that the proposed MAC method effectively handles mixed pixels. In addition, it can effectively deal with the mixed pixel problem in hyperspectral images because it identifies components by calculating the abundance values for each pixel rather than relying solely on single spectral features.

关键词： Visualization Image segmentation Satellites Graphical models Information processing Hyperspectral imaging Intelligent control Image classification Distribution functions

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Response of unsteady thermocapillary convection to local heating at specific depths in a thin liquid film

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Chemical engineering Science 2025年 314卷

作者： Kudo, Masaki Igarashi, Keita Mechanical Systems Engineering Program Monozukuri Engineering Department Tokyo Metropolitan College of Industrial Technology 10-40 Higashi-oi 1-chome Tokyo Shinagawa City140-0011 Japan

A hydrothermal wave (HTW) refers to a flow pattern that arises during unsteady thermocapillary convection, negatively impacting the purity of single crystals during zone melting. This study utilized active control through localized heating to reduce HTW amplitude, akin to noise cancellation. The effectiveness of this method was evaluated both experimentally and numerically by adjusting the heating depth in a thin liquid film. Silicone oil served as the test fluid, and the liquid film was rectangular in shape. In the case of linear time-periodic heating, a line-shaped heater applied a constant maximum heat input, synchronized with the HTW's period. Experimental results indicated that HTW amplitude significantly depends on the heating depth of the liquid film. Downstream of the HTW, temperature amplitude could be reduced by up to 60%, whereas upstream, it could be amplified. In numerical simulations, HTW reduction and amplification were linked to substantial changes in the streamwise temperature gradient on the free surface, rather than to local cancellation of the temperature disturbance. Unlike the results from single-pulse heating control, the amplitude ratio showed a strong dependence on whether the heat input significantly affected the streamwise thermal and flow fields. © 2025 Elsevier Ltd

关键词： Liquid films

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Joint optimization of logistics operations and reliability-based replacement policies in a geographically distributed service parts logistic system

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CIRP Annals 2025年

作者： Wang, Po-Han Djurdjanovic, Dragan Graduate Program on Operations Research and Industrial Engineering The University of Texas at Austin AustinTX United States Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX United States

A joint location-inventory-maintenance model is proposed for a geographically distributed Service Parts Logistics problem. The model uses a reliability-based replacement strategy and is formulated as a quadratic Mixed Integer Linear program which jointly optimizes logistic and preventive part replacement decisions. The proposed solution method employs piecewise linearization to provide a level of tractability and scalability to the method. The newly proposed joint location-inventory-maintenance model is evaluated and benchmarked against traditional local optimum-based replacement approaches. It consistently outperformed the benchmark models, with the efficiency of cost effect improvements determined by the relative prevalence of logistics factors versus asset management costs. © 2025

关键词： Piecewise linear techniques

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In-situ real-time monitoring of GeSn growth using UHV-CVD to achieve high-quality material with lasing at 2250 nm and 100 K [Invited]

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Optical Materials Express 2025年第6期15卷 1371-1381页

作者： Joshua Grant Sudip Acharya Alexer Golden Enbo Yang Hryhorii Stanchu Guo-En Chang Greg Sun Wei Du Shui-Qing Yu Department of Electrical Engineering and Computer Science University of Arkansas Fayetteville AR 72701 USA Material Science and Engineering Program University of Arkansas Fayetteville AR 72701 USA Institute for Nanoscience and Engineering University of Arkansas Fayetteville AR 72701 USA Department of Mechanical Engineering National Chung Cheng University Chiayi 62102 Taiwan Department of Engineering University of Massachusetts Boston MA 02125 USA

GeSn alloys hold great promise for the development of Si photonics due to its direct bandgap with sufficient high Sn composition, tunable bandgap energies covering broad infrared wavelength range, and compatibility with the complementary metal-oxide-semiconductor (CMOS) process. For the past decades, tremendous efforts have been made to develop material growth recipes to obtain device-level material quality using chemical vapor deposition (CVD) reactors. A common issue in material growth is the formation of Sn droplets (i.e., Sn segregation) that seriously degrades the material quality. However, although industrial CVD has delivered high-quality materials for device demonstration, the dynamic process of material growth remains unavailable, and only ex-situ material characterizations could provide feedback. In this work, a specially designed ultra-high-vacuum CVD (UHV-CVD) was used to study the growth dynamic by employing an in-situ optical system, which enables us to monitor the formation of Sn droplets in real-time. The Sn segregation occurring at the cooling stage after growth completion rather than during material growth was discovered, indicating that a post-growth treatment is needed to minimize the Sn droplet formation. By extending the GeSn growth time and controlling the cooling cycle, the number of Sn droplets dramatically reduced, leading to a high-quality strain-relaxed GeSn layer with 10.2% Sn composition and over 730 nm thickness. Material quality is comparable with those grown using commercial RPCVD in the early stage, which was further confirmed by the demonstration of an optically pumped laser. A threshold of ∼600 kW/cm 2 at 77 K and a maximum operating temperature of 100 K were obtained, with the lasing peak at ∼2250 nm.

关键词： Avalanche photodiodes Fourier transform infrared spectroscopy Laser sources Materials processing Physical vapor deposition Thin films

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Enhancing Thermal and Tribological Properties with Cellulose Nanocrystals: A Comprehensive Review and Analysis 2nd

Enhancing Thermal and Tribological Properties with Cellulose...

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2nd International Conference on Intelligent Manufacturing and robotics, ICIMR 2024

作者： Kareem Ahmad Aqeel, Ahmad Abdul Hajjaj, Sami Mohamed, Hassan Gomaa, Mohamed R. Obeidat, Faten Saeed Selangor Kajang43000 Malaysia School of Robotics Xi’an Jiaotong-Liverpool University 111 Taicang Avenue Jiangsu Province Suzhou Taicang215400 China School of Engineering and Technology Sunway University No. 5 Jalan Universiti Selangor Darul Ehsan Bandar Sunway47500 Malaysia Selangor Kajang43000 Malaysia Mechanical Engineering Department Faculty of Engineering Al-Hussein Bin Talal University Ma’an71111 Jordan Department of Hearing and Speech Sciences School of Rehabilitation Sciences University of Jordan Amman11942 Jordan

ISBN: (纸本)9789819639489

The recent surge in interest and advancements in nanotechnology, sustainable materials, and bio composites has highlighted the need for an updated review of Cellulose Nanocrystals (CNCs). This review brings together the latest research findings, methodologies, and applications of CNCs, offering valuable insights for scientists, engineers, and industry professionals working in the fields of materials science, biomaterials, nanotechnology, and environmental sustainability. CNCs, which are derived from natural cellulose sources, possess unique properties such as high mechanical strength, thermal stability, and environmental friendliness. These characteristics make CNCs highly suitable for a wide range of applications, including heat transfer, tribological enhancements, and fluid performance. The review thoroughly examines the incorporation of CNCs into various matrices, where they have been shown to significantly enhance thermal conductivity and viscosity. This improvement in material properties is particularly beneficial for applications such as engine oils, radiator coolants, and machining fluids, where enhanced performance is critical. While the potential of CNCs is vast, the review also addresses ongoing challenges that must be overcome to fully realize their capabilities. These challenges include issues related to nanoparticle stability and the environmental impact of CNCs, which require further investigation to ensure their safe and effective use. This comprehensive assessment not only underscores the transformative potential of CNCs in advancing material science and sustainable technologies but also identifies key areas for future research. By addressing the existing barriers, this review aims to guide further developments in the field, paving the way for innovative applications and solutions that leverage the unique properties of CNCs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cellulose nanocrystals

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Recyclable thin-film soft electronics for smart packaging and e-skins

arXiv

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arXiv 2025年

作者： Carneiro, Manuel Reis de Almeida, Aníbal T. Tavakoli, Mahmoud Majidi, Carmel Soft Machines Lab Department of Mechanical Engineering Carnegie Mellon University PittsburghPA15213 United States Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Coimbra3030-290 Portugal

Despite advances in soft, sticker-like electronics, few efforts have dealt with the challenge of electronic waste. Here, we address this by introducing an eco-friendly conductive ink for thin-film circuitry composed of silver flakes (Ag) and a water-based polyurethane (WPU) dispersion. This ink uniquely combines high electrical conductivity (1.6x105 S/m), high resolution digital printability, robust adhesion for microchip integration, mechanical resilience, and recyclability. Recycling is achieved with an ecologically-friendly processing method to decompose the circuits into constituent elements and recover the conductive ink with a decrease of only 2.4% in conductivity. Moreover, adding liquid metal enables stretchability of up to 200% strain, although this introduces the need for more complex recycling steps. Lastly, we demonstrate on-skin electrophysiological monitoring biostickers along with a recyclable smart package with integrated sensors for monitoring safe storage of perishable foods. © 2025, CC BY-NC-ND.

关键词： Electronic Waste

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