Path optimization strategies for wire-arc additive manufacturing of thin-walled parts

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Authors: Pedro MS Rosado, Rui F.V. Sampaio, João SN Maia, João P.M. Pragana, Ivo Mf Bragança, Sofia Filipe, Carlos MA Silva, Paulo A.F Martins
Cited by: 2
References: 50

Abstract

Abstract This paper presents a new methodology for manufacturing complex thin-walled parts using wire-arc additive manufacturing (WAAM). The work combines open-source slicing software with 3-axis CNC motion systems to establish the required parameters for WAAM. It also includes an adaptive path optimization strategy, which not only mitigates inefficient machining but also eliminates the need for excessive metal deposition to compensate for height deviations. The methodology effectively addresses challenges associated with key fundamental geometries - such as corners, intersections, and overhangs of up to 55° relative to the baseplate - during the path planning stage of WAAM. In addition, it further provides new insights into geometries involving the convergence and divergence of walls with variable inclination angles, which are crucial to produce customizable geometries with high strength-to-weight ratios. Validation of the proposed methodology was carried out through the fabrication of a pillar–beam connection prototype integrating all the fundamental geometries under investigation. The prototype was successfully produced, with geometric deviations from the original digital model remaining below 5%. Post-fabrication analyses also confirmed that the proposed methodology does not adversely affect the deposited material at either macroscopic or microscopic levels. Overall, the approach proved effective for producing functional and geometrically complex thin-walled parts by WAAM under conventional slicing software and 3-axis motion systems.

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Additive Manufacturing and 3D Printing Technologies Advanced Machining and Optimization Techniques

Publication details

Journal / source
The International Journal of Advanced Manufacturing Technology
Publisher
Springer Science and Business Media LLC
Volume
143
Issue
5-6
Pages
2499–2519
Publication date
23 February 2026
Language
EN