Intelligent Materials and Structures

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Entropic Alloys and Meta-Metals".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 3782

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, CEFET/RJ–Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, 20271-110 Rio de Janeiro, RJ, Brazil
Interests: smart materials and structures; nonlinear dynamics; modeling; numerical simulation

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Guest Editor
Center for Nonlinear Mechanics, Department of Mechanical Engineering, Universidade Federal do Rio de Janeiro, COPPE, P.O. Box 68.503, 21941-972 Rio de Janeiro, RJ, Brazil
Interests: nonlinear mechanics–smart materials and structures; nonlinear dynamics, chaos and control; biomechanics and ecology

Special Issue Information

Dear Colleagues,

Intelligent materials are able to alter their response and properties through the multiphysics coupling such as mechanical, temperature, electrical and magnetic fields. Shape memory alloys, magnetostrictive materials, piezoelectric materials, are among the most usual intelligent materials.

Due to their remarkable characteristics, intelligent materials have attracted the attention of several researchers and industries in recent years, having been used as actuators and sensors in several areas such as aerospace, automotive, bioengineering, oil and gas exploration and robotics.

The characterization and modeling of intelligent materials present several challenges due to their complex behavior associated with the coupling between different physical fields. Therefore, these research activities are relevant to permit the development of new applications.

This Special Issue aims to address the lasted research in the field of intelligent materials. Topics addressed in this Special Issue may include but are not limited to: characterization; modeling; applications, morphing, energy harvesting, smart composites, structural health monitoring, nonlinear vibration and wearable technology.

Prof. Dr. Pedro Manuel Calas Lopes Pacheco
Prof. Dr. Marcelo Amorim Savi
Guest Editors

Manuscript Submission Information

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Keywords

  • Smart materials
  • Intelligent materials
  • Shape memory alloys
  • Magnetostrictive materials
  • Piezoelectric materials
  • Material characterization
  • Material modeling
  • Numerical simulations
  • Adaptative structures
  • Biomorphing
  • Energy harvesting
  • Smart composites
  • Vibration
  • Nonlinear dynamics

Published Papers (2 papers)

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Research

32 pages, 13096 KiB  
Article
Numerical Investigations of Shape Memory Alloy Fatigue
by Vanderson M. Dornelas, Sergio A. Oliveira, Marcelo A. Savi and Pedro Manuel Calas Lopes Pacheco
Metals 2021, 11(10), 1558; https://doi.org/10.3390/met11101558 - 29 Sep 2021
Cited by 2 | Viewed by 1536
Abstract
This work deals with numerical investigations of the functional and structural fatigue on shape memory alloys (SMAs). A thermodynamically consistent, three-dimensional constitutive model is employed, adopting a continuum damage perspective. Fatigue life is predicted by considering a macroscopic model. Numerical simulations are compared [...] Read more.
This work deals with numerical investigations of the functional and structural fatigue on shape memory alloys (SMAs). A thermodynamically consistent, three-dimensional constitutive model is employed, adopting a continuum damage perspective. Fatigue life is predicted by considering a macroscopic model. Numerical simulations are compared with experimental data taken from the literature to demonstrate the model’s ability to capture the general thermomechanical behavior of SMAs subjected to different loading conditions. Uniaxial and torsion tests are discussed; thermal loads are also analyzed considering the influence of the maximum temperature on the fatigue life of SMAs. Cyclic degradation of the shape memory effect is investigated in the sequence. Results show that numerical simulations are in good agreement with the experimental data, including the fatigue life estimation. Full article
(This article belongs to the Special Issue Intelligent Materials and Structures)
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10 pages, 3310 KiB  
Article
Study on Enhancing the Thermoelectric Properties of Ti2CrSn Alloys
by Guangfa Yu, Shihao Song, Yanwei Ren, Jia Guo, Liqin Yan, Zunming Lu and Jun Shen
Metals 2021, 11(10), 1503; https://doi.org/10.3390/met11101503 - 23 Sep 2021
Viewed by 1332
Abstract
Based on the Hg2CuTi structure, the full-Heusler alloy Ti2CrSn, with a ground state band gap of semiconductor, is a thermoelectric material with potential applications. Through preparing Ti2CrSn1−xAlx (x = 0, 0.05, 0.1, 0.15, 0.2) [...] Read more.
Based on the Hg2CuTi structure, the full-Heusler alloy Ti2CrSn, with a ground state band gap of semiconductor, is a thermoelectric material with potential applications. Through preparing Ti2CrSn1−xAlx (x = 0, 0.05, 0.1, 0.15, 0.2) series bulk materials via arc melting, the effects of the electrical and thermal transport properties of Ti2CrSn series alloys were investigated, and different Al doping on the phase structure, the microscopic morphology, and the thermoelectric properties of Ti2CrSn were examined. The results show that the materials all exhibit characteristics of p-type semiconductors at the temperature range of 323 to 923 K. Al elemental doping can significantly increase the Seebeck coefficient and reduce the thermal conductivity of the materials. Among them, the sample Ti2CrSn0.8Al0.2 obtained a maximum value of 5.03 × 10−3 for the thermoelectric optimal ZT value at 723 K, which is 3.6 times higher than that of Ti2CrSn. Full article
(This article belongs to the Special Issue Intelligent Materials and Structures)
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