Conferences related to Magnetic Shape Memory Alloys

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2021 IEEE International Conference on Mechatronics (ICM)

CM focuses on recent developments and future prospects related to the synergetic integration of mechanics, electronics, and information processing.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE Industry Applications Society Annual Meeting

The Annual Meeting is a gathering of experts who work and conduct research in the industrial applications of electrical systems.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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Periodicals related to Magnetic Shape Memory Alloys

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Magnetics, IEEE Transactions on

Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.


Mechatronics, IEEE/ASME Transactions on

Synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. (4) (IEEE Guide for Authors) A primary purpose is to have an aarchival publication which will encompass both theory and practice. Papers will be published which disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and ...


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Most published Xplore authors for Magnetic Shape Memory Alloys

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Xplore Articles related to Magnetic Shape Memory Alloys

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A Multiscale Modeling of Magnetic Shape Memory Alloys: Application to NiMnGa Single Crystal

IEEE Transactions on Magnetics, 2016

This paper presents a new multiscale modeling dedicated to magnetic shape memory alloys. It involves four scales from the domain scale to the macroscale. The model is presented, and the simulation results are compared with experiments carried out on a NiMnGa single crystal.


Pneumatic valves based on Magnetic Shape Memory Alloys: Potential applications

2011 12th International Carpathian Control Conference (ICCC), 2011

The available deformation range, forces and frequency of the Magnetic Shape Memory Alloys (MSMA) render them suitable for applications in electro- mechanical transducers, used to control pneumatic valves. A fast-operating electro-mechanical transducers can be designed, whose driving elements should not execute any motion, as they do in valves available to date, and which should get deformed instead. Utilising the deformation ...


Elman Neural Network-Based Identification of Krasnosel’skii–Pokrovskii Model for Magnetic Shape Memory Alloys Actuator

IEEE Transactions on Magnetics, 2017

Magnetic shape memory alloys (MSMAs), which are a class of innovative functional materials, are used as the actuators to be applied widely in high- precision positioning. However, the hysteresis nonlinearity in the MSMA seriously affects the precision positioning of the MSMA-based actuator. In this paper, to study the hysteresis nonlinearity in the MSMA, the Krasnosel 'skii-Pokrovskii (KP) model is employed ...


Magnetization and magnetocaloric effect in magnetic shape memory alloys Ni-Mn-Ga

IEEE Transactions on Magnetics, 2001

Magnetization of Ni/sub 52/Mn/sub 24.4/Ga/sub 23.6/ and Ni/sub 52/Mn/sub 24.2/Ga/sub 23.8/ magnetic shape memory alloys was measured as a function of magnetic field up to 50 kOe at temperatures in the range 160-390 K. Anomalies of magnetic properties were observed not only at the temperature of martensitic transition T/sub M/, but also at a second transition temperature T/sub I/<T/sub M/. ...


Elman neural network-based identification of Krasnosel'skii-Pokrovskii model for magnetic shape memory alloys actuator

2017 IEEE International Magnetics Conference (INTERMAG), 2017

Magnetic shape memory alloys (MSMA), which are a class of innovative functional materials and possess a large strain and high response frequency, are used as the actuators to be applied widely in high-precision positioning, such as optical alignments, diamond turning machines and scanning probe microscopy.


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Educational Resources on Magnetic Shape Memory Alloys

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IEEE.tv Videos

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IEEE Magnetics 2014 Distinguished Lectures - JONATHAN COKER

IEEE-USA E-Books

  • A Multiscale Modeling of Magnetic Shape Memory Alloys: Application to NiMnGa Single Crystal

    This paper presents a new multiscale modeling dedicated to magnetic shape memory alloys. It involves four scales from the domain scale to the macroscale. The model is presented, and the simulation results are compared with experiments carried out on a NiMnGa single crystal.

  • Pneumatic valves based on Magnetic Shape Memory Alloys: Potential applications

    The available deformation range, forces and frequency of the Magnetic Shape Memory Alloys (MSMA) render them suitable for applications in electro- mechanical transducers, used to control pneumatic valves. A fast-operating electro-mechanical transducers can be designed, whose driving elements should not execute any motion, as they do in valves available to date, and which should get deformed instead. Utilising the deformation of an element made from the MSMA, the active element of the valves may be shifted, thus changing the flow orifice. Valves made of MSMA can become a new group of electric valves, featuring improved dynamic behavior and better resistance to external vibrations. The first applications of valves made of MSMA are expected in direct-action proportional throttling valves.

  • Elman Neural Network-Based Identification of Krasnosel’skii–Pokrovskii Model for Magnetic Shape Memory Alloys Actuator

    Magnetic shape memory alloys (MSMAs), which are a class of innovative functional materials, are used as the actuators to be applied widely in high- precision positioning. However, the hysteresis nonlinearity in the MSMA seriously affects the precision positioning of the MSMA-based actuator. In this paper, to study the hysteresis nonlinearity in the MSMA, the Krasnosel 'skii-Pokrovskii (KP) model is employed to describe the hysteresis nonlinearity in the MSMA-based actuator, and the density function of the KP model is identified by the Elman neural network. The simulations show that the modeling error rate of the KP model using the Elman neural network is 0.81%, which is reduced by 63.5% compared with that of the KP model based on a recursive least-squares method. This result demonstrates that the KP model based on the Elman neural network can accurately describe the hysteresis nonlinearity in the MSMA-based actuator.

  • Magnetization and magnetocaloric effect in magnetic shape memory alloys Ni-Mn-Ga

    Magnetization of Ni/sub 52/Mn/sub 24.4/Ga/sub 23.6/ and Ni/sub 52/Mn/sub 24.2/Ga/sub 23.8/ magnetic shape memory alloys was measured as a function of magnetic field up to 50 kOe at temperatures in the range 160-390 K. Anomalies of magnetic properties were observed not only at the temperature of martensitic transition T/sub M/, but also at a second transition temperature T/sub I/<T/sub M/. We assume that T/sub I/ is associated with an intermartensitic transformation.

  • Elman neural network-based identification of Krasnosel'skii-Pokrovskii model for magnetic shape memory alloys actuator

    Magnetic shape memory alloys (MSMA), which are a class of innovative functional materials and possess a large strain and high response frequency, are used as the actuators to be applied widely in high-precision positioning, such as optical alignments, diamond turning machines and scanning probe microscopy.

  • The acquisition and analysis of vibration energy signal generated by magnetic shape memory alloys

    Mechanical vibration energy is widespread in nature. Lots of research shows that the inverse effect of the magnetic shape memory alloys (MSMA) can be fully used to convert the vibration energy in nature into electrical energy, to achieve the power supply of the sensor and the lithium battery. In order to acquire the accuracy of simulate of the MSMA, the signal generated by MSMA need to be transformed by Fourier decomposition into the frequency domain signal. So it can be fitted into several superposition of sinusoidal signals with different Frequency, amplitude and phase, and then be collected through the chip BQ25570 and its surrounding circuit. The simulation of signal acquisition and analysis is achieved and the output power is studied.

  • A positioning actuator of magnetic shape memory alloys based on fuzzy sliding mode control

    Magnetic shape memory alloys (MSMA) has become a potential candidate in many engineering fields. MSMA has advantage of huge strain, which is much larger than other materials. Besides, it has properties of lightness and high frequency response. All of these characteristics make MSMA as a good choice in micro engineering. However, MSMA has obvious hysteresis phenomenon of nonlinear behavior. The difficulty to use the MSMA as a positioning actuator due to the hysteresis is increased. In this paper, we present the prototype of MSMA actuator. The hysteresis phenomenon of MSMA is also discussed. We also demonstrated experiments of positioning control. Fuzzy sliding mode control (FSMC) is a method to control the system without mathematical model, and it can provide the robustness property. Controller design and experiments are discussed. Experiments show that the precise positioning of controls can be achieved.

  • Ultrafast Actuators with Magnetic Shape Memory Alloys

    In this paper, we present the possibility to use magnetic shape memory alloys (MSM) for ultrafast actuator applications like fast switching pneumatic valves and circuit breakers. The first part of the paper introduces the aspects of the MSM technology which are relevant for ultrafast actuation applications. The second part describes a new ultrafast pneumatic valve based on a MSM actuator. In the third part of this paper a similar actuator for the application in a miniature circuit breaker is presented. Furthermore advantages of the MSM technology compared to conventional actuator solutions are described in this article.

  • Comparison of Model-free and Model-based Control Techniques for a Positioning Actuator based on Magnetic Shape Memory Alloys

    This paper addresses the control issue of a precise positioning system based on Magnetic Shape Memory Alloys (MSMAs). This family of smart materials exhibits a hysteresis phenomenon that needs to be properly addressed in order to build effective devices. A model-free control scheme is compared with two different model-based approaches which exploit an accurate hysteresis model to perform hysteresis cancellation or feedforward compensation. All the control schemes are based on a PID controller which is automatically tuned by solving a set of Linear Matrix Inequalities (LMIs) able to guarantee a desired exponential rate for the error convergence to zero. Finally, the comparison of model-free and model-based control schemes is performed using an experimental set-up to emphasize both the advantages and disadvantages of the different control strategies.

  • Adaptive Control of Positioning Systems With Hysteresis Based on Magnetic Shape Memory Alloys

    This paper considers a control strategy for systems affected by time-varying hysteretic phenomena, such as those observed in magnetic shape memory alloys subject to temperature variations. The proposed controller is based on a scheme that combines feedforward cancellation of the hysteresis using a modified Prandtl-Ishlinskii inverse model with a closed-loop control law designed to address the cancellation errors. Both the inverse hysteresis model and the closed-loop law feature adjustable parameters that are adapted online by means of learning laws based on Lyapunov design tools. The effectiveness of the proposed approach is confirmed by experiments on a prototypical micrometric positioning system containing a bar of MSMA as main actuating element.



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