Forthcoming Articles

International Journal of Mechatronics and Manufacturing Systems

International Journal of Mechatronics and Manufacturing Systems (IJMMS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are also listed here. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

International Journal of Mechatronics and Manufacturing Systems (2 papers in press)

Regular Issues

  • Drilling performance of 3D printed carbon-reinforced polyamide plates: An experimental study   Order a copy of this article
    by Aristeidis Tsiolikas, John (Ioannis) Kechagias 
    Abstract: This paper investigates CNC drilling as a critical yet underexplored post-processing technique for FDM carbon fiber-reinforced polyamide 6.6 composite plates. While existing research mainly focused on CNC turning and milling, this paper addresses the need for precise drilling of functional holes with tight tolerances and fine surface quality. The influence of fundamental drilling cutting parameters (cooling method, feed rate, and spindle speed) and deposited layer thickness is examined. Furthermore, all variable parameters are screened to identify their distinct effects on burr height and surface roughness parameters during hybrid fabrication of thermoplastic composites. The results showed that the cooling method dominated in the proposed experimental window. External cooling improves surface roughness, achieving an Ra lower than 4 ?m, but may increase burr height during precision drilling. Internal cooling provides better temperature control at greater depths, reducing bottom burr formation.
    Keywords: Drilling; polyamide; carbon-reinforced filament; 3D printing; optimization.
    DOI: 10.1504/IJMMS.2025.10079956
     
  • Comparative Evaluation of Embedded and Surface-Mounted Sensors for Thermo-Mechanical Structural Health Monitoring in Additively Manufactured Structures   Order a copy of this article
    by Matthew Laurent, George Marquis, Maria Gonzalez, Nicholas Hernandez, Ibrahim Nur Tansel, Sabri Tosunoglu 
    Abstract: The integration of sensors into additively manufactured (AM) structures enables real-time structural health monitoring (SHM) under thermal and mechanical loading. This study compares embedded and surface-mounted sensor configurations in stainless steel components fabricated via metal additive manufacturing. Flat plates and beam specimens were produced with features for sensor integration and tested under controlled thermal cycling and localised compression loads. Signals were analysed using deep learning models to classify loading type and magnitude, achieving accuracy above 90% across multiple geometries. Embedded sensors provided superior durability and thermal stability, while surface-mounted sensors exhibited higher sensitivity but greater baseline variability. Results demonstrate that accurate, data-driven identification of environmental and mechanical effects is feasible within AM structures, highlighting trade-offs between sensor coupling and protection.
    Keywords: structural health monitoring (SHM); additive manufacturing; embedded sensors; surface-mounted sensors; classification methods.
    DOI: 10.1504/IJMMS.2026.10081895