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Nanophase Transformation and Strengthening - Toughening Mechanism of the Cu-15ni-8sn Alloy During Aging

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SSRN 2023年

作者： Jiang, Kai-Xuan Zhou, Yan-Jun Yang, Ran Song, Ke-Xing Liu, Yahui Zhang, Yan-Min Yang, Shao-Dan Zhou, Fei Huang, Kuan Liu, Dong Yang, Wen-Hao School of Materials Science and Engineering Henan University of Science and Technology Luoyang471023 China Provincial and Ministerial Co-construction Collaborative Innovation Center of Nonferrous New Materials and Advanced Processing Technology Luoyang471023 China Henan Key Laboratory of Advanced Nonferrous Metals Luoyang471023 China School of Medical Technology and Engineering Henan University of Science and Technology Luoyang471023 China Henan Academy of Sciences Zhengzhou450046 China School of Mechatronics Engineering Henan University of Science and Technology Henan Luoyang471023 China School of Material Science & Engineering Zhengzhou University Zhengzhou450001 China

The Cu-15Ni-8Sn alloy ingot was prepared in the medium-frequency induction melting furnace. The hot extruded alloy was treated by solid solution at 840 °C for 60 min and aging at 400 °C for different times. The effect of aging time on the evolution of the nanophase of Cu-15Ni-8Sn alloy and the strengthening-toughening mechanism were studied. The results show that at the beginning of aging, the alloy undergoes spinodal decomposition, the wavelength of the modulated structure is approximately 3~7 nm, the ordered phase transformation of D022 and L12 occurs simultaneously, and the ordered phase size is approximately 5 nm. With the extension of aging time, the modulated structure became coarser, and the wavelength of the modulated structure increased to 5~9 nm. At the same time, the D022 ordered phase changed to the L12 ordered phase, and a continuous distribution of elliptical discontinuous precipitation appeared at the grain boundary. The ratio of the long and short axes of the discontinuous precipitation was approximately 4.7. In the late aging period, the D022 ordered phase was basically transformed into the L12 ordered phase, and discontinuous precipitation, which is incompatible with the matrix, extended into the crystal. After 120 min of aging at 400 °C, the hardness, strength, and elongation of the alloy are 105.4 HRB, 839.8 MPa and 9.6%, respectively. The peak-aging states D022 and L12 coexist in an orderly phase at the nanoscale, and this nanoscale strengthening phase is completely integrated with the matrix, which improves the strength and toughness of the alloy. © 2023, The Authors. All rights reserved.

关键词： Tin alloys

Optimized cell structures for memristor-based content addressable memories 6

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Optimized cell structures for memristor-based content addres...

6th International Conference on Electrical engineering, ICEE 2020

作者： Rouhi, Sadegh Mirzakuchaki, Sattar Zeyrani, Mohsen Islamic Azad University Faculty of Electrical Biomedical and Mechatronics Engineering Qazvin Branch Qazvin Iran Iran University of Science and Technology Department of Electrical Engineering Tehran Iran Islamic Azad University Faculty of Mechatronics Engineering Karaj Branch Karaj Iran

ISBN: (纸本)9781728182926

Content addressable memory (CAM) as a high-speed memory structure plays an important role in a wide variety of applications, particularly in network routers however its high-power consumption has been a complex challenge for designers and manufactures as well. Fortunately, exploiting memristors as non-volatile memory elements in the structure of CAM in recent years has resulted in a significant reduction in its power consumption and creates a promising outlook for the future of CAM. This paper presents novel architectures of memristor-based CAMs with considerable optimization in terms of the physical layout area, power consumption, and simplicity of performance in comparison with previous similar works. Our main goal is to provide more favorable options for the manufacturers in near future. © 2020 IEEE.

关键词： Memristors

Optimizing Droplet Coalescence Dynamics in Microchannels: A Comprehensive Study Using Response Surface Methodology and Machine Learning Algorithms

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SSRN 2024年

作者： Javadpour, Seyed Morteza Kadivar, Erfan Zarneh, Zienab Heidary Kadivar, Ebrahim Gheibi, Mohammad Department of Mechanical Engineering University of Gonabad Gonabad Iran Department of Physics Shiraz University of Technology Shiraz71555-313 Iran Institute of Ship Technology Ocean Engineering and Transport Systems University of Duisburg-Essen Duisburg47057 Germany Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec46117 Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic

Droplet coalescence in microchannels is a complex phenomenon influenced by various parameters such as droplet size, velocity, liquid surface tension, and droplet-droplet spacing. In this study, we thoroughly investigate the impact of these control parameters on droplet coalescence dynamics within a sudden expansion microchannel using two distinct numerical methods. Initially, we employ the boundary element method to solve the Brinkman integral equation, providing detailed insights into the underlying physics of droplet coalescence. Furthermore, we integrate Response Surface Methodology (RSM) to effectively optimize droplet coalescence dynamics, harnessing the power of machine learning algorithms. Our results showcase the efficacy of these computational techniques in enhancing experimental efficiency. Through rigorous evaluation utilizing Regression Coefficient and Mean Absolute Error metrics, we ascertain the accuracy of our estimations. Our findings highlight the significant influence of key parameters, specifically droplet diameter (D), viscosity (Vis), and width (W), as identified by droplet-droplet spacing (DD), velocity of the first droplet (VFD), and velocity of the second droplet (VBD), respectively. This comprehensive approach provides valuable insights into droplet coalescence phenomena and offers a robust framework for optimizing microfluidic systems. © 2024, The Authors. All rights reserved.

关键词： Coalescence

Vortex Induced Swing Based Flow Velocity Sensing: Modeling and Experimental Validation

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SSRN 2022年

作者： Gong, Ying Shan, Xiaobiao Peng, Xuzhang Shen, Fan Wang, Biao Li, Zhongjie Peng, Yan School of Artificial Intelligence Shanghai University Shanghai200444 China School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China

Ocean exploration is going deeper and farther. This study presents a water velocity sensor based on vortex-induced swing for fixed-position, small area, real-time, all-day and all plane velocity sensing. The sensor enables to recognize the magnitude and direction of flow velocity based on torsional motions of the device. The responding mechanism is firstly proposed through the boundary layer principle of fluid mechanics. Vibration mechanical model is built to parametrically analyze the effect of structural variables on the vibration amplitude. Subsequently, we use Galerkin method to numerically investigate the relation between swing amplitude and torsional frequency for velocity magnitude sensing. We simultaneously establish the relation between structural variables and torsional vibration center for velocity direction sensing. The model is subsequently validated by experiments. Both theoretical and experimental results show that the swing center position is mainly determined by the width of the curved beam. The proposed water velocity sensor shows rapid response and the response time for velocity direction sensing is around 0.4 s. Besides, the swing frequency-velocity curve exhibits high linearity (1.7%) for velocity magnitude sensing. This work pioneers velocity vector sensing using Kármán vortex street and structure design and will work in fixed-position, small area, real-time ocean flow sensing. © 2022, The Authors. All rights reserved.

关键词： Galerkin methods

Inverse Identification and Experimental Measurement for Characterizing the Flux and Intensity Distributions of High-Flux Solar Simulators

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Renewable Energy 2025年

作者： Xiao-Lei Li Xin-Lin Xia Rong-Qiang Liu School of Energy Science and Engineering Harbin Institute of Technology Harbin 150001 China School of Mechatronics Engineering Harbin Institute of Technology Harbin 150001 China

Accurate characterization of radiative flux and intensity distributions in high-flux solar simulators (HFSS) is critical for solar receiver design, yet conventional methods remain constrained by structural dependency and simulation-based validation. This study addresses these limitations through an experimentally validated inverse methodology that reconstructs both flux and directional intensity distributions without prior knowledge of concentrator configurations. By reformulating the heat transfer inverse problem, we develop a hybrid framework combining particle swarm optimization (PSO) with transient infrared thermographic data to progressively reconstruct non-uniform rational B-spline flux profiles. Xenon lamp radiation intensity constraints are further integrated to resolve directional information, enabling an experimental demonstration absent in prior simulation-dependent approaches. The methodology achieves normalized mean square errors below 3.62×10 -2 (flux) and 4.21×10 -3 (intensity) under 5 K measurement uncertainty, with extrapolated flux predictions at arbitrary planes maintaining NMSE <2.3×10 -3 . A deviation less than 30.2% is shown in the experimental validation. This work provides an effective method for measuring flux distribution and radiation intensity distribution of complex solar energy systems.

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Neurofeedback-Driven 6-DOF Robotic Arm: Integration of Brain-Computer Interface with Arduino for Advanced Control

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arXiv

arXiv 2024年

作者： Satam, Ihab A. Szabolcsi, Róbert Doctoral School on Safety and Security Sciences Óbuda University Hungary Mechatronics Department Technical College-Alhawija Northern Technical University Iraq Department of Measurement Technology and Automation Institute of Electronic and Communication Systems Kandó Kálmán Faculty of Electrical Engineering Óbuda University Hungary

Brain computer interface (BCI) applications in robotics are becoming more famous and famous. People with disabilities are facing a real-time problem of doing simple activities such as grasping, handshaking etc. in order to aid with this problem, the use of brain signals to control actuators is showing a great importance. The Emotive Insight, a Brain-Computer Interface (BCI) device, is utilized in this project to collect brain signals and transform them into commands for controlling a robotic arm using an Arduino controller. The Emotive Insight captures brain signals, which are subsequently analyzed using Emotive software and connected with Arduino code. The HITI Brain software integrates these devices, allowing for smooth communication between brain activity and the robotic arm. This system demonstrates how brain impulses may be utilized to control external devices directly. The results showed that the system is applicable efficiently to robotic arms and also for prosthetic arms with Multi Degree of Freedom. In addition to that, the system can be used for other actuators such as bikes, mobile robots, wheelchairs *** Codes 93C41 Copyright © 2024, The Authors. All rights reserved.

关键词： Robotic arms

Revealing the Effects of Functional Group in Organic Linkers on Properties of Metal Organic Frameworks Electrode and Their Performance in Supercapacitors

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SSRN 2024年

作者： Pang, Le Lei, Yaojie Zou, Yu Yu, Feng Feng, Fan Lu, Jiahui Pang, Wei Kong Liu, Zhe Liu, Porun O’Mullane, Anthony P. Wang, Guoxiu Wang, Hongxia BrisbaneQLD4001 Australia Centre for Clean Energy Technology School of Mathematical and Physical Sciences Faculty of Science University of Technology Sydney UltimoNSW2007 Australia Centre for Catalysis and Clean Energy Griffith University Gold Coast Campus Gold CoastQLD4222 Australia School of Chemistry and Materials Science Nanjing University of Information Science and Technology Nanjing210044 China University of Melbourne Department of Mechanical Engineering Faculty of Engineering and Information Technology The University of Melbourne VIC3010 Australia Institute for Superconducting and Electronic Materials School of Mechanical Materials Mechatronics and Biomedical Engineering Faculty of Engineering and Information Sciences University of Wollongong North Wollongong NSW2522 Australia

The history of developing supercapacitors with increased performance is inextricably linked to the exploration and design of suitable electrode materials. Metal-organic frameworks (MOFs) have attracted intensive attention for use in high-performance supercapacitors thanks to their large specific surface area, tuneable pore sizes and crystal structure. Understanding the influence of MOF structures and properties on the performance of supercapacitors is critical to enhancing their performance. However, so far researchers have been keen on exploring metal atoms in MOFs and have ignored the effects of organic ligands, especially the functional groups thereon, on supercapacitors. In this work, we have studied the impact of organic linkers' functional groups on the properties of MOFs and how this influences their performance as supercapacitor electrode materials. We synthesized four MOFs with different functional groups, including hydroxyl, nitride and thiol groups and characterised their physicochemical properties and their performance as supercapacitor electrode materials. Characterisation of the specific surface area shows that the BET area decreases from 980.3 m2 g-1 for the original MOF to 12.2 m2 g-1 when the thiol group is incorporated. Furthermore the -OH, -NH, and -SH functionalities reduced the charge transfer resistance ( © 2024, The Authors. All rights reserved.

关键词： Capacitance

CFD modelling of carburetor with several valve positions

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CFD modelling of carburetor with several valve positions

International Conference on Newer trends and Innovations in Mechanical engineering, ICONTIME 2020

作者： Vinoth, N. Mohanavel, V. Kannappan, A. Mohith, K. Department of Mechanical Engineering Chennai Institute of Technology Chennai Tamil Nadu600069 India Department of Mechatronics Engineering Chennai Institute of Technology Chennai Tamil Nadu600069 India

Carburetor plays an important part in working of spark ignition engine which provides exact amount of fuel and air at the right time. Design of carburetor is one of the factors that influence fuel consumption. The throat of carburetor delivers essential pressure dip inside the venture tube of carburetor. Therefore carburetor design is important. To develop a maximum efficiency and better economy, redesigning or modeling of carburetor is required. © 2020 Elsevier Ltd. All rights reserved.

关键词： Carburetors

Thermal Performance Analysis of Evacuated Tube Baffle & Pierced Twisted Tape Solar Air Heater: A Combined Approach

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SSRN 2025年

作者： Karthickmunisamy, Thangavel Veerakumar, A. Vijayan, S. Anbarasan, P. Department of Mechanical Engineering Coimbatore Institute of Engineering and Technology Coimbatore641109 India Department of Mechatronics Engineering Muthayammal Engineering College Rasipuram637408 India

In the present work, a combined approach of an analytic model and Response Surface Methodology (RSM) has been applied to investigate the performance of Evacuated Tube Baffle & Pierced Twisted Tape Solar Air Heater (ETBPTTSAH), with Pierced Twisted Tape (PTT) on the Baffle Plate’s one side in the Evacuated Tube. The proposed analytic model describes the temperature of air at various locations and thermal transport characteristics of the ETBPTTSAH, applied to analyze the consequences of the mass flow rate of air and geometrical aspects of PTT, on its performances. The equations of the complex heat transfer, fluid flow and mass transfers of the analytic model were solved through an iterative solution procedure. The interaction of responses based on the effects of input parameters is investigated by employing RSM. The finding from the RSM shows that the proposed analytic model is precise with the desired accuracy in predicting the performance of ETBPTTSAH. The analytic results of the proposed model were also validated with the previously reported findings of ETC’s various modifications, and the outcome is the proposed model performance was comparatively better than the previous models of ETC. © 2025, The Authors. All rights reserved.

关键词： Heating equipment