Proposal and evaluation of a novel contactless surface characteristic method for quantifying wire laser additive manufacturing

Wire Laser Additive Manufacturing (WLAM) is an emerging additive manufacturing technique, offering significant advantages such as high efficiency and design flexibility for the rapid fabrication of complex metallic components. However, the absence of a standardized, non-contact surface characterization method limits its industrial adoption. To address this gap, this paper proposes a novel multi-scale surface characterization framework based on three-dimensional point cloud analysis using a FARO laser scanner, enabling rapid and precise assessment of both global geometry and local surface quality in WLAM components. The proposed method integrates automated cross-sectional fitting, Iterative Closest Point (ICP) registration with ideal CAD models, and computation of areal roughness parameters to quantify geometric deviations and micro-scale features. Compared to traditional measurement methods, this proposed approach provides full-field and high-resolution evaluations of surface morphology. Experimental validation using stainless-steel single beads with different working parameters demonstrated strong sensitivity to process variations in wire feed and travel speed, linking deposition parameters directly to surface characteristics. The proposed framework offers a robust foundation for standardized, contactless quality evaluation and offers a promising pathway toward real-time monitoring and closed-loop control in advanced wire-laser additive manufacturing.

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Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2026-04-24
DOI
https://doi.org/10.1007/s00170-026-18124-3
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Proposal and evaluation of a novel contactless surface characteristic method for quantifying wire laser additive manufacturing

Long Ye, Chang Liu, Nan Yu, Fangda Xu et al.
The International Journal of Advanced Manufacturing Technology
Additive Manufacturing Materials and Processes
article

Proposal and evaluation of a novel contactless surface characteristic method for quantifying wire laser additive manufacturing

Long Ye, Chang Liu, Nan Yu, Fangda Xu, S. Tammas-Williams, Hao Xue, Yipeng Wang
article en

Abstract

Wire Laser Additive Manufacturing (WLAM) is an emerging additive manufacturing technique, offering significant advantages such as high efficiency and design flexibility for the rapid fabrication of complex metallic components. However, the absence of a standardized, non-contact surface characterization method limits its industrial adoption. To address this gap, this paper proposes a novel multi-scale surface characterization framework based on three-dimensional point cloud analysis using a FARO laser scanner, enabling rapid and precise assessment of both global geometry and local surface quality in WLAM components. The proposed method integrates automated cross-sectional fitting, Iterative Closest Point (ICP) registration with ideal CAD models, and computation of areal roughness parameters to quantify geometric deviations and micro-scale features. Compared to traditional measurement methods, this proposed approach provides full-field and high-resolution evaluations of surface morphology. Experimental validation using stainless-steel single beads with different working parameters demonstrated strong sensitivity to process variations in wire feed and travel speed, linking deposition parameters directly to surface characteristics. The proposed framework offers a robust foundation for standardized, contactless quality evaluation and offers a promising pathway toward real-time monitoring and closed-loop control in advanced wire-laser additive manufacturing.

The International Journal of Advanced Manufacturing Technology
Beijing University of Technology (CN), Suzhou Chien-Shiung Institute of Technology (CN), University of Science and Technology Beijing (CN), University of Edinburgh (GB)
Royal Academy of Engineering
Openalex Percentile: Top 9%
Additive Manufacturing Materials and Processes
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