Special Issue on ‘Multi-material Additive Manufacturing’
Guest Editors
Leading Guest Editor: Prof. Lin LI The University of Manchester, UK Email: lin.li@manchester.ac.uk |
Co-Guest Editor: Prof. Paulo Jorge Da Silva BARTOLO Nanyang Technological University, Singapore Email: pbartolo@ntu.edu.sg |
Co-Guest Editor: Prof. Milan BRANDT RMIT University, Australia Email: milan.brandt@rmit.edu.au |
Co-Guest Editor: Prof. Dongdong GU Nanjing University of Aeronautics and Astronautics,China Email: dongdonggu@nuaa.edu.cn |
Co-Guest Editor: Prof. Chao WEI Ningbo Institute of Materials Technology and Engineering, CAS Email: weichao@nimte.ac.cn |
Introduction
Multi-material additive manufacturing (MM-AM)is a relatively new technology for realizing material-function integration and customizing of local performance of additively-manufactured components through the combination of dissimilar materials with various properties and on-demand control of spatial material distribution. It will provide new manufacturing freedoms for new concept designs of products serving in harsh or extreme environments.
Compared with commonly used single-material additive manufacturing, the MM-AM process is more complex, involving multiple material feeding, avoidance of interfacial defects and harmful phases, and matching extremely diverse thermal/mechanical properties. Although recent progress in MM-AM technologies (e.g., MM-AM based on laser powder bed fusion) demonstrated process feasibility and future potential of MM-AM, it is still in its infancy. There are many scientific issues and engineering challenges that need to be overcome before actual industrial applications can take place.
The purpose of this special issue is to provide an opportunity for researchers and engineers to report the cutting-edge research progress and future trends of MM-AM, with a special focus on material-domain research, theoretical approaches, applications, and new technologies of MM-AM.
The scope of this special issue includes but is not limited to the following:
Material-domain MM-AM studies
Artificial intelligence-involved MM-AM investigations
New product design realized via MM-AM
In-situ monitoring of the melt pool dynamic behavior
MM-AM modelling and simulation
New MM-AM technologies
Important Dates
Submission deadline: 30 April 2024
First round of reviews: 30 June 2024
Final submission and decision: 31 July 2024
Publication: September-November 2024
Submission portal:
https://mc04.manuscriptcentral.com/ijem-caep
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