Works (10)

Updated: July 5th, 2023 15:46

2019 journal article

Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator

ACTUATORS, 8(1).

By: C. Haigh n, J. Crews n, S. Wang* & G. Buckner n

author keywords: shape memory alloy; microscale actuation; design optimization; genetic algorithm
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: April 22, 2019

2013 conference paper

Development of robust control algorithms for shape memory alloy bending actuators

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 391–400.

By: J. Crews n, R. Smith n & J. Hannen n

UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2012 journal article

Data-driven techniques to estimate parameters in the homogenized energy model for shape memory alloys

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(17), 1897–1920.

By: J. Crews n, R. Smith n, K. Pender n, J. Hannen n & G. Buckner n

author keywords: Shape memory alloys; hysteresis; parameter estimation
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2012 conference paper

Density function optimization for the homogenized energy model of shape memory alloys

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 2011), vol 1, 371–379.

By: J. Crews n & R. Smith n

UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2012 journal article

Design optimization of a shape memory alloy-actuated robotic catheter

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(5), 545–562.

By: J. Crews n & G. Buckner n

author keywords: actuator; optimization; shape memory
TL;DR: This article addresses the modeling and optimization of both a single-tendon and antagonistic tendon robotic catheter using COMSOL Multiphysics Modeling and Simulation software. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 article

Modeling and Bayesian Parameter Estimation for Shape Memory Alloy Bending Actuators

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2012, Vol. 8342.

By: J. Crews n & R. Smith n

author keywords: shape memory alloys; uncertainty quantificiation; markov chain monte carlo
TL;DR: A homogenized energy model for shape memory alloy (SMA) bending actuators is employed and the Random Walk Metropolis algorithm, the MCMC method used here, is tested to test the feasibility. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2012 conference paper

Multi-objective design optimization of a shape memory alloy actuated robotic catheter

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 2011), vol 1, 381–389.

By: J. Crews n & G. Buckner n

TL;DR: This paper presents a method for optimizing the design of a shape memory alloy (SMA) actuated robotic catheter designed for use in endocardial ablation procedures, where “trackability” and “pushability’ are desirable but conflicting catheter traits, leading to a multi-objective optimization problem. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Numerical and experimental analysis of inhomogeneities in SMA wires induced by thermal boundary conditions

Continuum Mechanics and Thermodynamics, 24(4-6), 485–504.

By: S. Furst, J. Crews & S. Seelecke

Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

Multi-objective control optimization for semi-active vehicle suspensions

JOURNAL OF SOUND AND VIBRATION, 330(23), 5502–5516.

By: J. Crews n, M. Mattson n & G. Buckner n

TL;DR: A multi-objective genetic algorithm (MOGA) is used to establish the limits of controller performance, creating a Pareto frontier of solutions, providing a benchmark for assessing the performance of other controllers in terms of both objectives. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2009 conference paper

Hysteretic recurrent neural networks: A tool for modeling hysteretic materials and systems

Smart Materials & Structures, 18(7).

By: A. Veeramani, J. Crews & G. Buckner

Source: NC State University Libraries
Added: August 6, 2018

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