Visions, Concepts and Strategies for Smart Nitinol Actuators and Complex Nitinol Structures Produced by Additive Manufacturing

2013 ◽  
Author(s):  
Christoph Haberland ◽  
Mohammad Elahinia ◽  
Jason Walker ◽  
Horst Meier
Keyword(s):  
Additive Manufacturing ◽  
Powder Material ◽  
Shape Recovery ◽  
Smart Structures ◽  
High Potential ◽  
Powder Preparation ◽  
High Quality ◽  
Recovery Behavior

This work covers different aspects of additive manufacturing of Nitinol parts. Firstly, requirements for the powder material and guidelines for the powder preparation are described in detail because the use of proper powder is essential for additive processing of high quality parts. Next, this work presents examples for Nitinol actuators, smart structures and devices which are produced by additive manufacturing. By demonstrating the functionality of these parts (e.g. shape recovery behavior after deformation), this work clearly points out a high potential for additive manufacturing of Nitinol. Moreover, additive manufacturing might even be able to open up new perspectives for Nitinol devices that have yet to be imagined.

scholarly journals Additive Manufacturing for Effective Smart Structures: The Idea of 6D Printing

2021 ◽  
Vol 5 (5) ◽  
pp. 119
Author(s):  
Stelios K. Georgantzinos ◽  
Georgios I. Giannopoulos ◽  
Panteleimon A. Bakalis
Keyword(s):  
Additive Manufacturing ◽  
Degrees Of Freedom ◽  
Smart Structures ◽  
Interaction Mechanism ◽  
Modeling And Simulations ◽  
Environmental Stimulus ◽  
Material Component ◽  
Design And Manufacturing ◽  
First Time ◽  
Printing Techniques

This paper aims to establish six-dimensional (6D) printing as a new branch of additive manufacturing investigating its benefits, advantages as well as possible limitations concerning the design and manufacturing of effective smart structures. The concept of 6D printing, to the authors’ best knowledge, is introduced for the first time. The new method combines the four-dimensional (4D) and five-dimensional (5D) printing techniques. This means that the printing process is going to use five degrees of freedom for creating the final object while the final produced material component will be a smart/intelligent one (i.e., will be capable of changing its shape or properties due to its interaction with an environmental stimulus). A 6D printed structure can be stronger and more effective than a corresponding 4D printed structure, can be manufactured using less material, can perform movements by being exposed to an external stimulus through an interaction mechanism, and it may learn how to reconfigure itself suitably, based on predictions via mathematical modeling and simulations.

scholarly journals Towards Wire and Arc Additive Manufacturing of High-Quality Parts

Procedia CIRP ◽  
2020 ◽  
Vol 95 ◽  
pp. 54-59
Author(s):  
Daniel Baier ◽  
Andreas Bachmann ◽  
Michael F. Zaeh
Keyword(s):  
Additive Manufacturing ◽  
High Quality

scholarly journals A Review on Additive Manufacturing of Micromixing Devices

Micromachines ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 73
Author(s):  
Marina Garcia-Cardosa ◽  
Francisco-Javier Granados-Ortiz ◽  
Joaquín Ortega-Casanova
Keyword(s):  
Life Cycle ◽  
Additive Manufacturing ◽  
High Performance ◽  
Future Prospects ◽  
High Quality ◽  
Printing Technology ◽  
Wide Range ◽  
The Moment ◽  
Manufacturing Technologies

In recent years, additive manufacturing has gained importance in a wide range of research applications such as medicine, biotechnology, engineering, etc. It has become one of the most innovative and high-performance manufacturing technologies of the moment. This review aims to show and discuss the characteristics of different existing additive manufacturing technologies for the construction of micromixers, which are devices used to mix two or more fluids at microscale. The present manuscript discusses all the choices to be made throughout the printing life cycle of a micromixer in order to achieve a high-quality microdevice. Resolution, precision, materials, and price, amongst other relevant characteristics, are discussed and reviewed in detail for each printing technology. Key information, suggestions, and future prospects are provided for manufacturing of micromixing machines based on the results from this review.

Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data

2020 ◽  
Author(s):  
Zhuo Wang ◽  
Chen Jiang ◽  
Mark F. Horstemeyer ◽  
Zhen Hu ◽  
Lei Chen
Keyword(s):  
Temperature Field ◽  
Additive Manufacturing ◽  
Uncertainty Quantification ◽  
Surrogate Modeling ◽  
Data Driven ◽  
Modeling Framework ◽  
High Quality ◽  
Experimental Calibration ◽  
Multi Scale ◽  
Metallic Additive

Abstract One of significant challenges in the metallic additive manufacturing (AM) is the presence of many sources of uncertainty that leads to variability in microstructure and properties of AM parts. Consequently, it is extremely challenging to repeat the manufacturing of a high-quality product in mass production. A trial-and-error approach usually needs to be employed to attain a product with high quality. To achieve a comprehensive uncertainty quantification (UQ) study of AM processes, we present a physics-informed data-driven modeling framework, in which multi-level data-driven surrogate models are constructed based on extensive computational data obtained by multi-scale multi-physical AM models. It starts with computationally inexpensive metamodels, followed by experimental calibration of as-built metamodels and then efficient UQ analysis of AM process. For illustration purpose, this study specifically uses the thermal level of AM process as an example, by choosing the temperature field and melt pool as quantity of interest. We have clearly showed the surrogate modeling in the presence of high-dimensional response (e.g. temperature field) during AM process, and illustrated the parameter calibration and model correction of an as-built surrogate model for reliable uncertainty quantification. The experimental calibration especially takes advantage of the high-quality AM benchmark data from National Institute of Standards and Technology (NIST). This study demonstrates the potential of the proposed data-driven UQ framework for efficiently investigating uncertainty propagation from process parameters to material microstructures, and then to macro-level mechanical properties through a combination of advanced AM multi-physics simulations, data-driven surrogate modeling and experimental calibration.

Winter triticale in the Urals

2021 ◽  
Author(s):  
S.E. Denizbayev ◽  
◽  
A.V. Filippova ◽  
L.Kh. Sukhanberdina
Keyword(s):  
High Potential ◽  
The Urals ◽  
High Quality ◽  
Important Reserve ◽  
Winter Triticale ◽  
Variety Testing

To meet the growing demand of livestock for high-quality feed, and the population for food, an important reserve is the triticale culture, which combines the high potential of wheat productivity with the high adaptive properties of rye. The article presents the results of competitive variety testing of co-prototypes.

Progress in Additive Manufacturing of Energetic Materials: Creating the Reactive Microstructures with High Potential of Applications

2019 ◽  
Vol 44 (8) ◽  
pp. 941-969 ◽  
Author(s):  
Nikita V. Muravyev ◽  
Konstantin A. Monogarov ◽  
Uwe Schaller ◽  
Igor V. Fomenkov ◽  
Alla N. Pivkina
Keyword(s):  
Additive Manufacturing ◽  
Energetic Materials ◽  
High Potential

Smart Structures—Additive Manufacturing of Stimuli-Responsive Hydrogels for Adaptive Packings

2020 ◽  
Vol 59 (43) ◽  
pp. 19458-19464
Author(s):  
Xihua Hu ◽  
Claas Spille ◽  
Michael Schlüter ◽  
Irina Smirnova
Keyword(s):  
Additive Manufacturing ◽  
Smart Structures ◽  
Stimuli Responsive ◽  
Responsive Hydrogels

Invited review article: Strategies and processes for high quality wire arc additive manufacturing

2018 ◽  
Vol 22 ◽  
pp. 672-686 ◽  
Author(s):  
C.R. Cunningham ◽  
J.M. Flynn ◽  
A. Shokrani ◽  
V. Dhokia ◽  
S.T. Newman
Keyword(s):  
Additive Manufacturing ◽  
Review Article ◽  
High Quality ◽  
Wire Arc Additive Manufacturing

Towards Selective Volumetric Additive Manufacturing and Processing of Ceramics

2019 ◽  
Author(s):  
A. P. Iliopoulos ◽  
J. G. Michopoulos ◽  
J. C. Steuben ◽  
A. J. Birnbaum ◽  
B. D. Graber ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Ceramic Powder ◽  
Ceramic Materials ◽  
High Quality ◽  
Analysis And Design ◽  
Spatially Resolved ◽  
Selective Approach ◽  
Scientists And Engineers ◽  
Processing Techniques ◽  
Am Processes

Abstract The development of advanced additive manufacturing (AM) and material processing techniques is currently a topic of great interest to broad communities of scientists and engineers. In particular, there is a need for AM processes capable of producing functional and high-quality components at a faster rate than is currently achievable. In response to this demand, the present work introduces the initial steps of a novel spatially-resolved and selective approach for processing volumetric regions of ceramic materials. The proposed method utilizes microwave radiation to heat material at desired locations within a domain filled with ceramic powder. Using this principle of operation, a number of methods for implementation of this process are proposed. As a first step, a multiphysics computational methodology and an associated model that allows for the analysis and design of relevant processing systems is introduced. Additionally, a number of simulations demonstrating the feasibility of the proposed methodology are presented. Based on these preliminary results, we conclude with a discussion of ongoing and future efforts to fully realize this technology.

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