Recent Advances in Additive and Intelligent Manufacturing
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D3: 3D Printing and Additive Manufacturing".
Deadline for manuscript submissions: closed (5 August 2022) | Viewed by 2244
Special Issue Editor
Special Issue Information
Dear Colleagues,
Additive manufacturing enables the rapid fabrication of small, micro-, and nanomachines in almost any freeform shape, and significantly accelerates the research in many fields by democratizing and easing the process of research prototyping. Beyond lowering the fabrication hurdles, additive manufacturing also provides a brand new approach to controlling material compositions in complex shapes, creating functional and meta-materials with exceptional functionalities and performance.
Recent advances in artificial intelligence (AI) further unleash and expand the capabilities of additive manufacturing, including intelligent design, digital-twin-enabled process optimization and control, intelligent pre-process and post-process, and AI-enabled metrology tests and quality prediction.
This Special Issue of MDPI’s journal Micromachines aims to provide a platform for researchers to showcase findings when applying these additive manufacturing and AI/machine learning technologies in miniaturized/micro/nano-scaled structures, materials, devices, and systems. Original research contributions and reviews are invited for this Special Issue.
Topics of interest include, but are not limited to:
- 3D-printed miniaturized/micro/nano devices and structures, for example, sensors, microchips, MEMS, microchannels, microfluidics, electronics systems, bio-inspired structures.
- Applications of additive manufacturing.
- Micro/nano additive manufacturing.
- Novel materials and inks.
- Mass customization and production using AM.
- Topology optimization and generative design.
- Design of miniaturized/micro/nano devices for additive manufacturing.
- Nature and bio-inspired design.
- Digital twins and cyber-physical systems for additive manufacturing.
- AI/machine learning in additive manufacturing, including slicing, metrology, testing, quality control and prediction, failure detection, defects detection, real-time monitoring, preventive maintenance.
- Process planning and optimization, including hardware and software.
- Development, modeling, and simulation of AM processes.
Dr. Huachao Mao
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- additive manufacturing
- artificial intelligence
- machine learning
- micro/nano scale
- micro machines
- 3D printing
- process modeling
- optimization
- sensors
- electronics systems
- bio-inspired
