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Additive and Subtractive Manufacturing of Advanced Material: Modeling and Surface Integrity

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: 20 June 2026 | Viewed by 594

Special Issue Editor


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Guest Editor
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
Interests: additive-subtractive manufacturing of composite; physical field modeling; finite element simulation; damage prediction; surface integrity

Special Issue Information

Dear Colleagues,

The aerospace and marine fields are rapidly adopting advanced materials, especially composite materials, to meet objectives of light-weighting, durability, and efficiency. In additive, subtractive, and hybrid manufacturing, the advantages of these materials can be realized only when the manufacturing quality is controllable and verifiable. The key to achieving this lies in the understanding and control of manufacturing process variables and surface integrity.

We invite original research and review articles aimed at exploring process variables and surface integrity in the additive, subtractive, and hybrid manufacturing of composite materials. Topics of interest include, but are not limited to, the following:

  • In situ multimodal monitoring and data fusion for the acquisition, quantitative characterization, and mechanistic analysis of process variables.
  • Numerical modelling and validation of process variables.
  • Mechanisms of surface and subsurface integrity formation, such as the residual stress, microstructure evolution, the initiation of micro-cracks, and porosity.
  • Prediction and mitigation strategies for defects or damage in composite manufacturing.
  • Quantitative relationships between process variables and surface integrity, and the development of process windows.

Dr. Minghui Yang
Guest Editor

Manuscript Submission Information

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Keywords

  • additive–subtractive manufacturing
  • advanced composite materials
  • process modeling
  • in situ monitoring
  • numerical modeling
  • surface and subsurface integrity
  • formation mechanism

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Published Papers (1 paper)

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Research

21 pages, 5021 KB  
Article
Visible–Infrared Dual-Modal Monitoring System for Overlap Defects in Wire Arc Additive Manufacturing
by Weixin Wang, Peng Gao, Dongli Chen, Runzhen Yu, Hongwei Kang and Zhuang Zhao
Materials 2026, 19(5), 899; https://doi.org/10.3390/ma19050899 - 27 Feb 2026
Viewed by 408
Abstract
This paper proposes a dual-modal monitoring system combining visible and infrared imaging to enhance overlap defect detection in wire arc additive manufacturing (WAAM) based on cold metal transfer (CMT) welding for multi-pass builds. Traditional single-modal approaches, primarily relying on melt pool imagery, are [...] Read more.
This paper proposes a dual-modal monitoring system combining visible and infrared imaging to enhance overlap defect detection in wire arc additive manufacturing (WAAM) based on cold metal transfer (CMT) welding for multi-pass builds. Traditional single-modal approaches, primarily relying on melt pool imagery, are often hindered by arc light and spatter interference, which can compromise detection accuracy. In this work, overlap defect refers to insufficient overlap between adjacent tracks, and the dataset is created by inducing overlap defects through inter-track spacing in multi-pass deposition. The proposed dual-modal strategy mitigates these challenges and significantly improves detection precision. A dual-input convolutional neural network model named Multimodal Mutual Fusion Network (MMFNet) was designed, fusing visible and infrared data at the feature level to achieve a prediction accuracy of 98.34%. Comparative experiments with single-modal models demonstrate the superiority of the proposed approach, with single-modal accuracies of only 95.76% (infrared) and 92.85% (visible light). The proposed system provides a robust solution for monitoring of overlap defects in WAAM in the studied multi-pass setting, highlighting the potential of dual-modal systems for improving quality control in additive manufacturing processes. Full article
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