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Fluid Flow and Mixed Heat Transfer in a Horizontal Channel with an Open Cavity and Wavy Wall

Intelligent Automation & Soft Computing 2023年第7期37卷 147-163页

作者： Tohid Adibi Shams Forruque Ahmed Omid Adibi Hassan Athari Irfan Anjum Badruddin Syed Javed Department of Mechanical Engineering University of BonabBonabIran Science and Math Program Asian University for WomenChattogramBangladesh Energy Management Group Energy and Environment Research CenterNiroo Research InstituteTehranIran Department of Mechanical Engineering Elm-o-Fann University College of Science and TechnologyUrmiaIran Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia

Heat exchangers are utilized extensively in different industries and ***,optimizing heat exchangers has been a major concern among *** various studies have been conducted to improve the heat transfer rate,the use of a wavy wall in the presence of different types of heat transfer mechanisms has not been *** study thus investigates the mixed heat transmission behavior of fluid in a horizontal channel with a cavity and a hot,wavy *** fluid flow in the channel is considered laminar,and the governing equations including continuity,momentum,and energy are all solved *** numerical solution is stabilized by using a first-order multi-dimensional characteristic-based scheme in combination with a fifth-order Runge-Kutta *** flow and heat transfer effects of varying Richardson numbers,Reynolds numbers,wave amplitude,wavelength,channel height,and cavity width are *** results indicate that the mean Nusselt number increases with an increase in Reynolds number,wave amplitude,and cavity width,while it decreases with an increase in Richardson number,wavelength,and channel *** minimum Nusselt number is calculated to be 0.7,whereas the maximum Nusselt number is *** Nusselt number has only increased by 40%in the higher depths of the cavity,despite the Richardson number being 10,000 times *** this figure increases to 130%at lower *** mean Nusselt number is thus significantly influenced by channel height and cavity *** influence of wave amplitude on the mean Nusselt number is twice that of wavelength.

关键词： Mixed heat transfer wavy wall horizontal channel open cavity numerical simulation

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MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection 27

MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fus...

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27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Gao, Xiangbo Kanu-Asiegbu, Asiegbu Miracle Du, Xiaoxiao University of Michigan Robotics Department Ann ArborMI48109 United States University of Michigan Department of Mechanical Engineering Ann ArborMI48109 United States

ISBN: (纸本)9798331505929

This paper proposes MambaST, a plug-and-play cross-spectral spatial-temporal fusion pipeline for efficient pedestrian detection. Several challenges exist for pedestrian detection in autonomous driving applications. First, it is difficult to perform accurate detection using RGB cameras under dark or low-light conditions. Cross-spectral systems must be developed to integrate complementary information from multiple sensor modalities, such as thermal and visible cameras, to improve the robustness of the detections. Second, pedestrian detection models are latency-sensitive. Efficient and easy-to-scale detection models with fewer parameters are highly desirable for real-time applications such as autonomous driving. Third, pedestrian video data provides spatial-temporal correlations of pedestrian movement. It is beneficial to incorporate temporal as well as spatial information to enhance pedestrian detection. This work leverages recent advances in the state space model (Mamba) and proposes a novel Multi-head Hierarchical Patching and Aggregation (MHHPA) structure to extract both fine-grained and coarse-grained information from both RGB and thermal imagery. Experimental results show that the proposed MHHPA is an effective and efficient alternative to a Transformer model for cross-spectral pedestrian detection. Our proposed model also achieves superior performance on small-scale pedestrian detection. The code is available at https://***/XiangboGaoBarry/MambaST © 2024 IEEE.

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Self-Attenuating Graphene-Based Antennas Utilizing Polyvinylidene Fluoride (PVDF) Substrates 2

Self-Attenuating Graphene-Based Antennas Utilizing Polyvinyl...

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2nd International Microwave and Antenna Symposium, IMAS 2024

作者： Frankhouse, Josef Addo-Mensah, Evans Wejinya, Uche University of Arkansas Department of Mechanical Engineering Fayetteville United States Graduate Program University of Arkansas Fayetteville United States

ISBN: (纸本)9798350356359

In this study, a Terahertz (THz) band antenna which can regulate its own resonant frequency without the requirement of manual adjustment is simulated. A polyvinylidene fluoride (PVDF) substrate is applied onto a rectangular graphene patch antenna. With a voltage potential applied onto the PVDF, the patch antenna can attenuate its frequency by physically changing the shape of the antenna, and in turn its resonant frequency. These antennas are within a 0.1 THz band between 1.32 THz to 1.22 THz measured from a radial bend of a flat surface to r = 75 μm, fitting into a return loss (S11) above -30 dB. Although the return loss did not show consistency, the resonating frequency shifted at a linear rate relative to the cylindrical bending. © 2024 IEEE.

关键词： Microstrip antennas

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Cost-Effective Pressure Glove to Measure Forces & Orientation from a Chiropractor

Cost-Effective Pressure Glove to Measure Forces & Orientatio...

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2023 IEEE International Opportunity Research Scholars Symposium, ORSS 2023

作者： Butler, Carolyn Shah, Iti Kish, Jacob Salman, Muhammad Kennesaw State University Robotics & Mechatronics United States Kennesaw State University Department of Mechanical Engineering United States

ISBN: (纸本)9798350337006

Currently, there is no affordable, everyday use chiropractic force sensor. Devices that are used to teach chiropractic students, such as activators and drop tables, assist students in learning but do not give adequate feedback. Our design will be implementing the cheapest materials to make the most reliable force sensing glove which chiropractors can use for their daily work needs. Materials needed to complete this project include pressure sensors, electrical wires, resistors, a breadboard, Raspberry Pi Pico W, a laptop with Thonny software installed, and an analog to digital converter. Our design of the chiropractic force sensor glove will help reduce the amount of confusion when determining the correct amount of force to apply to a chiropractor's patient. This research will also help to dramatically reduce any severe pain resulting from misplaced forces and pressure applied to chiropractic patients. © 2023 IEEE.

关键词： Pressure sensors

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Evolution of Iron-Based Metallic Glass Composite Coating with Enhanced Corrosion Resistance and Biocompatibility

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Arabian Journal for Science and engineering 2024年第8期49卷 10547-10559页

作者： Ibrahim, Mahmoud Z. Sarhan, A.A.D. Kuo, T.Y. Yusof, Farazila Hamdi, M. Chang, C.P. Lee, T.M. Chien, C.S. Department of Mechanical Engineering Faculty of Engineering Ain Shams University Cairo 11517 Egypt Advanced Manufacturing & Material Processing (AMMP) Research Centre Department of Mechanical Engineering Faculty of Engineering University of Malaya Kuala Lumpur 50603 Malaysia Department of Mechanical Engineering Faculty of Engineering University of Malaya Kuala Lumpur 50603 Malaysia Department of Mechanical Engineering King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Centre for Intelligent Manufacturing & Robotics King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Department of Mechanical Engineering Southern Taiwan University of Science and Technology Tainan 701 Taiwan Department of Medical Research Chimei Medical Centre Tainan 710 Taiwan Institute of Oral Medicine National Cheng Kung University Tainan 701 Taiwan Department of Orthopaedics Chimei Foundation Hospital Tainan 710 Taiwan

Metallic glasses are a new class of metallic alloys that attract increasing attention in bone implants due to their ultrahigh wear resistance and hardness, high toughness and superior strength. However, their cytotoxicity and biocorrosion resistance are still under investigation. In this research, the cytotoxicity and biocorrosion resistance of iron-based metallic glass composite coating are explored. To approach real-life conditions, the biocorrosion resistance of the proposed coating in phosphate buffer saline (PBS) is evaluated via immersion test for 30 days followed by an electrochemical corrosion test. Then, human bone cells (MG-63) are cultured on corroded samples and the cell viability is determined using MTT assay, in addition to cell attachment examination. The results revealed the formation of a metallic glass composite layer with 78.76% amorphous content. Additionally, the metallic glass composite demonstrated excellent and stable corrosion resistance in PBS over 30 days compared to the substrate. The MTT assay has shown that the cytotoxicity of iron-based metallic glass composite is within the permitted levels according to ISO 10993–5, Part 5 vol 2009. The cells were well attached to the surface besides, showing a healthy growth after 7 days of culture. These results confirm the in vitro biocompatibility of iron-based metallic glass composite coating for biomedical implant applications. © 2023, King Fahd University of Petroleum & Minerals.

关键词： Biocorrosion Coating Cytotoxicity Iron-based metallic glass composite Joint replacement applications

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Experimental and numerical study of deposition mechanisms for cold spray additive manufacturing process

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Chinese Journal of Aeronautics 2022年第2期35卷 276-290页

作者： Tianyu YU Mingjun CHEN Zhuoru WU State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Department of Mechanical Engineering Iowa State UniversityAmes 50011USA

Cold spray is an attractive and rapidly developing process for additive manufacturing with high efficiency and precision,repairing and coating,especially in aircraft and aerospace *** spray additive manufacturing deposits micro-particles with large plastic deformation below their melting point,eliminating heat effect zone which could deteriorate the quality of repairing *** particle deposition in cold spray is a complex process which involves high strain rate,high contact pressure and high *** we develop,utilize and validate a thermomechanical model to provide a definitive way to predict deposition mechanics and surface deformation evolution for particle deposition process in cold spray additive *** a single particle and dual particles models were developed to investigate the contact interaction between particle/substrate and particle/*** combinations of particle/substrate materials(Cu/Cu,Al/Al,steel/steel,and nickel/nickel)and process parameters were considered in this *** experimental study was conducted to validate simulation results,providing useful information for understanding the limitations and challenges associated with cold spray additive *** framework provides insights into improving the quality and precision of stress/strain formation,particle interactions and particle deposition in cold spray additive manufacturing process.

关键词： Additive manufacturing Cold spray Finite element analysis Residual stresses Surface morphology

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Fuzzy Logic for Assessing the Health of a Corn Crop within Family Farming

Fuzzy Logic for Assessing the Health of a Corn Crop within F...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Mendonca, Vanessa Santos, Mikael Munoz, Daniel M. Humberto Llanos, Carlos Federal Institute of Brasilia Department of Computer Science Brazil Mechatronics Graduate Program Department of Mechanical Engineering Brazil Federal Institute of Brasilia Department of Agronomy Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Technological advancements are increasingly evident across various sectors, including automobiles, industry, and healthcare. In precision agriculture, significant progress has been made, with AgroTICs and Smart Agriculture gaining substantial traction in the market. However, a gap remains between cutting-edge technology and family farming, presenting a challenge from both social and applied research perspectives. However, there is still a gap between cutting-edge technology and family farming, which creates a challenge from a social and applied research point of view. In this context, this paper proposes a monitoring model based on Fuzzy Logic and sensor automation applied to estimate the health of a corn crop. The proposed Fuzzy inference system involves calculating an indicator of nutrients as well as the average color and area of corn plants. The nutrient indicator is automatically computed by an ESP32 microcontroller using sensor readings, while the average color and area inputs are manually entered via a mobile application. Additionally, the Fuzzy inference is integrated into the ESP32. The model underwent experimental validation on the health of the plantation, and the results were evaluated in four areas: one was designated for testing, and three were for validation. The model achieved an accuracy of 97.5% in Scenario 3, categorized as 'Very Favorable', and an accuracy of 65% in Scenarios 2 and 4, categorized as 'Unfavorable'. The implications of this research contribute to the advancement of AgroTICs among small producers, with the potential to enhance and automate the monitoring of their harvest production. © 2024 IEEE.

关键词： Agribusiness

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Optimising degradation and mechanical performance of additively manufactured biodegradable Fe–Mn scaffolds using design strategies based on triply periodic minimal surfaces

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Smart Materials in Medicine 2024年第1期5卷 127-139页

作者： Dargusch, Matthew S. Soro, Nicolas Demir, Ali Gokhan Venezuela, Jeffrey Sun, Qiang Wang, Yuan Abdal-hay, Abdalla Alali, Aya Q. Ivanovski, Saso Previtali, Barbara Kent, Damon School of Mechanical and Mining Engineering The University of Queensland Advanced Engineering Building Bld 49 Staff House Rd St LuciaQLD4072 Australia Department of Mechanical Engineering Politecnico di Milano Via La Masa 1 Milan20156 Italy School of Dentistry The University of Queensland Herston Campus 4072 Australia Department of Engineering Materials and Mechanical Design Faculty of Engineering South Valley University Qena83523 Egypt Faculty of Industry and Energy Technology Mechatronics Technology Program New Cairo Technological University New Cairo - Fifth Settlement Cairo11835 Egypt School of Science Technology and Engineering University of the Sunshine Coast Maroochydore BCQLD4558 Australia

Additively manufactured lattices based on triply periodic minimal surfaces (TPMS) have attracted significant research interest from the medical industry due to their good mechanical and biomorphic properties. However, most studies have focussed on permanent metallic implants, while very little work has been undertaken on manufacturing biodegradable metal lattices. In this study, the mechanical properties and in vitro corrosion of selective laser melted Fe–35%Mn lattices based on gyroid, diamond and Schwarz primitive unit-cells were comprehensively evaluated to investigate the relationships between lattice type and implant performance. The gyroid-based lattices were the most readily processable scaffold design for controllable porosity and matching the CAD design. mechanical properties were influenced by lattice geometry and pore volume. The Schwarz lattices were stronger and stiffer than other designs with the 42% porosity scaffold exhibiting the highest combination of strength and ductility, while diamond and gyroid based scaffolds had lower strength and stiffness and were more plastically compliant. The corrosion behaviour was strongly influenced by porosity, and moderately influenced by geometry and geometry-porosity interaction. At 60% porosity, the diamond lattice displayed the highest degradation rate due to an inherently high surface area-to-volume ratio. The biodegradable Fe–35Mn porous scaffolds showed a good cytocompatibility to primary human osteoblasts cells. Additive manufacturing of biodegradable Fe–Mn alloys employing TPMS lattice designs is a viable approach to optimise and customise the mechanical properties and degradation response of resorbable implants toward specific clinical applications for hard tissue orthopaedic repair. © 2023 The Authors

关键词： Porosity

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Large-Scale Group Emergency Decision-Making: A Literature Review

Large-Scale Group Emergency Decision-Making: A Literature Re...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Orshella, D.D. Masruroh, N.A. Arini, H.M. Universitas Gadjah Mada Department of Mechanical and Industrial Engineering Yogyakarta Indonesia Galuh University Industrial Engineering Program Ciamis Indonesia

ISBN: (纸本)9798350323153

In dealing with emergencies, rational decisions are needed with limited time to reduce losses to death. Emergencies, which affect many public interests, require the participation of decision-makers with different perspectives to mask the lack of knowledge and experience of one decision-maker or a smaller group. Large-scale group decision-making (LSGDM) has become an exciting research topic in the last decade. Previous researchers have widely discussed the development and application of the LSGDM model. Time constraints and rational solutions are the main challenges for LSGDM in emergencies. This literature study explores LSGDM research trends in emergencies and provides new insights and opportunities for determining future research. © 2023 IEEE.

关键词： Decision emergency large group

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An Optimization System for Intent Recognition Based on an Improved KNN Algorithm with Minimal Feature Set for Powered Knee Prosthesis

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Journal of Bionic engineering 2023年第6期20卷 2619-2632页

作者： Yao Zhang Xu Wang Haohua Xiu Lei Ren Yang Han Yongxin Ma Wei Chen Guowu Wei Luquan Ren Key Laboratory of Bionic Engineering Ministry of EducationJilin UniversityChangchun130022People’s Republic of China Robotics Institute of NBUT Ningbo University of TechnologyNingbo315211People’s Republic of China Department of Mechanical Aerospace and Civil EngineeringThe University of ManchesterManchesterM139PLUK School of Mechanical Science and Aerospace Engineering Jilin UniversityChangchun130022People’s Republic of China School of Science Engineering and EnvironmentUniversity of SalfordSalfordM54WTUK

In this article,a new optimization system that uses few features to recognize locomotion with high classification accuracy is *** optimization system consists of three ***,the features of the mixed mechanical signal data are extracted from each analysis window of 200 ms after each foot contact ***,the Binary version of the hybrid Gray Wolf Optimization and Particle Swarm Optimization(BGWOPSO)algorithm is used to select ***,the selected features are optimized and assigned different weights by the Biogeography-Based Optimization(BBO)***,an improved K-Nearest Neighbor(KNN)classifier is employed for intention *** classifier has the advantages of high accuracy,few parameters as well as low memory *** on data from eight patients with transfemoral amputations,the optimization system is *** numerical results indicate that the proposed model can recognize nine daily locomotion modes(i.e.,low-,mid-,and fast-speed level-ground walking,ramp ascent/decent,stair ascent/descent,and sit/stand)by only seven features,with an accuracy of 96.66%±0.68%.As for real-time prediction on a powered knee prosthesis,the shortest prediction time is only 9.8 *** promising results reveal the potential of intention recognition based on the proposed system for high-level control of the prosthetic knee.

关键词： Intent recognition K-Nearest Neighbor algorithm Powered knee prosthesis Locomotion mode classification

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