Submit a Manuscript to the Journal
Virtual and Physical Prototyping
For an Article Collection on
Additive Manufacturing of Shape Memory Materials
01 July 2024
Article collection guest advisor(s)
Department of Design, Production, and Management (DPM), University of Twente, Nederland
Mechanical, Industrial and Manufacturing Engineering (MIME), University of Toledo, Toledo, OH, USA
Additive Manufacturing of Shape Memory Materials
The application of Additive Manufacturing for Shape Memory Materials (SMM) has become widespread in creating diverse smart products across various industries. The substantial flexibility inherent in manufacturing technologies enables the production of intricate and highly complex products and structures. The integration of SMMs holds the potential to advance the development of smart structures and products, offering multiple functionalities.
Ongoing research studies are actively addressing both materials development and printing technologies in this domain, reflecting a commitment to further enhance and refine the application of additive manufacturing for shape memory materials.
The integration of SMMs not only promises the creation of intelligent products but also opens avenues for practical applications in biomedical, aerospace, automotive, and other industries. Despite the numerous advantages of SMMs, challenges persist in both materials development and the printing process, directly impacting the functional performance of the final product. Addressing these challenges is pivotal for advancing additive manufacturing and realizing its full potential across diverse industries. Continued research and collaborative efforts among experts are essential to overcome these obstacles, laying the groundwork for future advancements in additive manufacturing technology.
The relevant subtopics and desired focus from manuscript submissions include but are not limited to:
- 3D/4D printing of shape memory materials;
- Alloys design for 3D printed shape memory alloys;
- Additive manufacturing of high-temperature shape memory alloys;
- Additive manufacturing of magnetic shape memory alloys;
- Characterization and post-processing methods for 3D printed shape memory materials;
- Modeling and simulation of additively manufactured shape memory materials;
- Applications and future trends of 3D printed shape memory materials.
Keywords: Additive Manufacturing; 3D/4D Printing; Shape Memory Polymers; Shape memory Alloys; Multi-Functional Performance
All manuscripts submitted to this Article Collection will undergo a full peer-review; the Guest Advisor for this Collection will not be handling the manuscripts (unless they are an Editorial Board member).
The deadline for submitting manuscripts is 1 July 2024.
Please contact Zhan Yu at [email protected] with any queries and discount codes regarding this Article Collection. Please be sure to select "Additive Manufacturing of Shape Memory Materials" from the drop-down menu in the submission system.
Mehrshad Mehrpouya is currently an Assistant Professor in the Department of Design, Production, and Management (DPM) at the University of Twente (UT). He earned his Ph.D. degree through a fellowship program from Sapienza University of Rome, Italy. His research focuses on advanced manufacturing of smart materials and structures, emphasizing the application of additive manufacturing technologies for designing and developing multifunctional structures. https://people.utwente.nl/m.mehrpouya
Mohammad Elahinia is currently a Professor of Mechanical, Industrial and Manufacturing Engineering (MIME). He serves as Director of the Dynamic and Smart Systems Laboratory at UT. He has been on the faculty of The University of Toledo since 2004. He graduated from Villanova University with an MS degree and from Virginia Tech with a Ph.D. in Mechanical Engineering respectively in 2001 and 2004. Dr. Elahinia’s research interests are in smart and active materials. His current research is focused on additive manufacturing of functional materials such as shape memory alloys for aerospace and biomedical applications. https://www.utoledo.edu/engineering/mechanical-industrial-manufacturing-engineering/people/elahinia.html
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All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Guest Advisors for this collection will not be involved in peer-reviewing manuscripts unless they are an existing member of the Editorial Board. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.