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The behavior of shape memory alloy (SMA) nanostructures is influenced by strain rate and temperature evolution during dynamic loading. The coupling between temperature, strain and strain rate effects is essential to capture inherent…

材料科学 · 物理学 2014-07-01 R. Dhote , H. Gomez , R. Melnik , J. Zu

The large magnetocaloric effect (MCE) observed in Ni-Mn based shape-memory Heusler alloys put them forward to use in magnetic refrigeration technology. It is associated with a first-order magnetostructural (martensitic) phase transition. We…

Magnetic shape memory alloys are characterized by the coupling between a structural phase transition and magnetic one. This permits to control the shape change via an external magnetic field, at least in single crystals. Composite materials…

数值分析 · 数学 2018-05-01 Sergio Conti , Martin Lenz , Martin Rumpf

Electromagnetic metasurfaces have attracted significant interest recently due to their low profile and advantageous applications. Practically, many metasurface designs start with a set of constraints for the radiated far-field, such as…

材料科学 · 物理学 2022-04-04 Stewart Pearson , Parinaz Naseri , Sean V. Hum

In situ neutron diffraction of the uniaxial tension test was used to study the effect of the surrounding matrix microstructure on the mechanical stability of retained austenite in high-carbon bearing steels. Comparing the samples with…

材料科学 · 物理学 2018-07-18 Rohit Voothaluru , Vikram Bedekar , Dunji Yu , Qingge Xie , Ke An , R Scott Hyde

In this work, we study lattice structures that exhibit a bistable behavior, i. e., they can snap from one stable state to another, and are also completely reversible, capable of reverting back to its original state through a heat treatment.…

经典物理 · 物理学 2022-07-19 Aditya Vasudevan , José A. Rodríguez-Martínez , Ignacio Romero

Elastic and dissipative properties of a NiTi shape memory alloy have been studied in both the martensite and austenite phases, using the free-decay of a vibrating Nitinol wire. The influence of air was estimated from a martensite…

综合物理 · 物理学 2007-05-23 Randall D. Peters

This paper presents a comparative study between two micro-macro modeling approaches to simulate stress-induced martensitic transformation in shape memory alloys (SMA). One model is a crystal plasticity based model and the other describes…

经典物理 · 物理学 2019-06-20 Mame Fall , Etienne Patoor , Olivier Hubert , K Lavernhe -Taillard

Automatic estimation of skinning transformations is a popular way to deform a single reference shape into a new pose by providing a small number of control parameters. We generalize this approach by efficiently enabling the use of multiple…

图形学 · 计算机科学 2016-09-27 Alon Shtern , Matan Sela , Ron Kimmel

Fueled by their excellent stiffness-to-weight ratio and the availability of mature manufacturing technologies, filament wound carbon fiber reinforced polymers represent ideal materials for thin-walled laminate structures. However, their…

应用物理 · 物理学 2019-09-17 Marek Tyburec , Jan Zeman , Jan Novák , Matěj Lepš , Tomáš Plachý , Robin Poul

Many engineering applications of Shape Memory Alloys (SMAs) involve passing back and forth through phase transformation many times. Repeated phase transformation develops permanent deformations originating from the significant distortion…

材料科学 · 物理学 2018-12-20 Lei Xu , Theocharis Baxevanis , Dimitris Lagoudas

This paper introduces a cost-effective strategy to simulate the behavior of laminated plates by means of isogeometric 3D solid elements. Exploiting the high continuity of spline functions and their properties, a proper out-of-plane stress…

计算工程、金融与科学 · 计算机科学 2017-04-27 John-Eric Dufour , Pablo Antolin , Giancarlo Sangalli , Ferdinando Auricchio , Alessandro Reali

Ferromagnetic shape memory alloys (MSMAs), such as Ni-Mn-Ga single crystals, can exhibit the shape memory effect due to an applied magnetic field at room temperature. Under a variable magnetic field and a constant bias stress loading, MSMAs…

材料科学 · 物理学 2023-01-20 Md Esharuzzaman Emu

CuMnAs with perpendicular magnetic anisotropy is proposed as an active material for antiferromagnetic memory. Information can be stored in the antiferromagnetic domain state, while writing and readout can rely on the existence of the…

材料科学 · 物理学 2018-10-26 I. A. Zhuravlev , A. Adhikari , K. D. Belashchenko

In the search for rare-earth free permanent magnets, various ideas related to shape anisotropy are being pursued. In this work we assess the limits of shape contributions to the reversal stability using micromagnetic simulations. In a first…

We report a new strategy to remove the reflections resulted from the finite embedded transformation-optical design by proposing an impedance-tunable coordinate transformation, on which the functions of impedance coefficients can be derived…

光学 · 物理学 2015-06-18 Jun Cao , Lifa Zhang , Senlin Yan , Xiaohan Sun

Composites are often made heterogeneous in nature to fulfill the functional demands imposed by the environment, but remain difficult to fabricate synthetically due to the lack of adequate and easily accessible processing tools. We report on…

材料科学 · 物理学 2016-05-25 Hortense Le Ferrand , Florian Bouville , Tobias P. Niebel , André R. Studart

This work is concerned with the micro-architecture of multi-layer material that globally exhibits desired mechanical properties, for instance a negative apparent Poisson ratio. We use inverse homogenization, the level set method, and the…

最优化与控制 · 数学 2019-01-30 Grigor Nika , Andrei Constantinescu

Memory effects in amorphous materials have been widely studied because of their possible widespread future applications. We show here that ultrastable glasses can exhibit a transient reversible memory effect when subjected to both a local…

软凝聚态物质 · 物理学 2025-05-15 Rashmi Priya , Smarajit Karmakar

Inspired by ion-dominated synaptic plasticity in human brain, artificial synapses for neuromorphic computing adopt charge-related quantities as their weights. Despite the existing charge derived synaptic emulations, schemes of controlling…

介观与纳米尺度物理 · 物理学 2019-12-06 Yi Cao , Andrew Rushforth , Yu Sheng , Houzhi Zheng , Kaiyou Wang