Intelligent Manufacturing and Inspection of Advanced Composites

A special issue of Eng (ISSN 2673-4117). This special issue belongs to the section "Materials Engineering".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 90

Special Issue Editors


E-Mail Website
Guest Editor
School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, OK 73019, USA
Interests: out-of-autoclave manufacturing of composites; robot-assisted materials processing; multifunctional materials
Department of Mechanical and Aerospace Engineering, University of South Florida, Tampa, FL 33620, USA
Interests: multifunctional nanocomposite manufacturing, heat transfer

Special Issue Information

Dear Colleagues,

Polymer composite materials are widely used in aerospace, infrastructure, transportation, energy, marine, and consumer goods applications due to their superior mechanical properties, corrosion resistance, design customizability, and processing versatility. Advances in automation technologies, digital design tools, sensing, and artificial intelligence are transforming traditional composite manufacturing and catalyzing a shift toward intelligent, data-driven processing paradigms with minimal human intervention, faster production speeds, lower costs, and reduced material waste.

This Special Issue welcomes original review articles and research articles on topics pertaining to the intelligent manufacturing and inspection of polymer composites with structural or multifunctional applications. Studies on polymer composites with particles, short fibers, or continuous fibers as reinforcing entities will be considered. Topics of interest include, but are not limited to, the following:

  • Robot-assisted manufacturing processes (e.g., automated fiber placement, hybrid manufacturing, additive manufacturing) for advanced composites.
  • Predictive modelling to understand the process–structure–property relationships of composites manufactured through robot-assisted processes.
  • The application of artificial intelligence, smart sensors, optimization, and digital twin frameworks (e.g., deep learning, reinforcement learning, topology optimization) for the design, manufacturing, and inspection of composite structures. 
  • Robot-assisted non-destructive evaluation (e.g., ultrasonic, thermographic, multi-modal inspection) of composite structures.
  • Materials and processes for the development of self-sensing composites for structural health monitoring.

Dr. Arif Abdullah
Dr. Ali Ashraf
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Eng 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 1400 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

  • industry 4.0
  • advanced composites
  • robot-assisted manufacturing and inspection
  • digital twin
  • process–structure–property relationships
  • multifunctional composites

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Published Papers

This special issue is now open for submission.
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