Next-Generation Material Designs and Processes for Additive Manufacturing

Special Issue Editors


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Guest Editor
Industrial Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, Canada
Interests: metal additive manufacturing; extrusion printing; digital light processing; polymer nanocomposites; biocomposites; smart materials; liquid metal; stretchable/flexible electronics; 3D printing of regolith materials; curable resins; design for additive manufacturing (DfAM); robotic 3D printing systems

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Guest Editor
Department of Manufacturing and Mechanical Engineering Technology, College of Engineering Technology, Rochester Institute of Technology, Rochester, NY 14623, USA
Interests: gantry-based and robot-assisted bioprinting; hardware design and manufacturing for customized bioprinters; bioprinting process parameter optimization; novel bio-ink design and characterization

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Guest Editor
Department of Manufacturing and Industrial Engineering, The University of Texas Rio Grande Valley, Edinburg, TX 78539, USA
Interests: 3D and 2D additive manufacturing processes; integration of sensors in additive processes for quality control and process monitoring
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Special Issue Information

Dear Colleagues,

The field of additive manufacturing is undergoing rapid evolution, demanding the development of new materials and innovative processes to fully harness its potential. The integration of additive manufacturing with emerging technologies such as machine learning, artificial intelligence, and process monitoring is driving significant advancements in this domain. These technologies are transforming material design, enabling real-time process control and enhancing the quality and efficiency of additive manufacturing.

Progress is being made not only in metals and polymers but also in ceramics, biological materials, and composites, pushing the boundaries of traditional additive manufacturing technologies. Machine learning is playing a pivotal role in designing new materials, while AI-powered machine vision is facilitating on-the-fly adjustments to process parameters to ensure an optimal print quality. Furthermore, additive manufacturing is being adapted to accommodate unconventional materials, expanding its applications across various industries such as aerospace, wearable personalized devices, and tissue engineering.

Given these advancements, we are pleased to invite researchers to contribute to this Special Issue, which will focus on next-generation material design techniques and processes in additive manufacturing. We encourage submissions that explore the additive manufacturing of metals, polymers, ceramics, composites, bio-inks, and other advanced materials via theoretical, computational, or experimental approaches, either separately or in combination.

We look forward to receiving your groundbreaking research, shaping the future of additive manufacturing.

Dr. Mohammad Khondoker
Dr. Md Ahasan Habib
Dr. Farid Ahmed
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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 or 3D printing
  • machine learning
  • artificial intelligence
  • material design
  • process monitoring

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This special issue is now open for submission.
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