Titre :
Interactive geometric tolerancing of polygonal profiles using machine learning techniques
Journal, revue, page ... :
International Journal on Interactive Design and Manufacturing (IJIDeM)
Type de publication :
Article de Journal
Abstract :
The tolerancing of complex features remains a significant challenge, as these geometries are not classified as conventional features of size under current standards. Geometric tolerances, including form, orientation, and position tolerances, are defined to enable designers to control the multiple degrees of freedom of a feature and ensure that it remains within its prescribed tolerance zone. The automatic assessment of complex forms, such as cyclic-symmetric profiles, can considerably facilitate their geometric tolerancing processes. To advance tolerancing analysis for complex polygonal geometries, this paper investigates the challenges associated with such profiles in comparison with conventional features. A methodology is proposed to analyze polygonal profiles by establishing analogies with features of size while integrating machine learning techniques for classification and tolerances specification. The proposed methodology applies regression models as a promising approach for automating tolerance assignment and evaluation for complex geometries. The developed model demonstrates high classification accuracy (0.97–0.99) in identifying geometric-related problems. A key originality of this work lies in the integration of two area and tolerance-based factors. This introduces an innovative framework for the geometric specification and analysis of cyclic-symmetric profiles, which can also be extended to enhance the capability analysis of these complex geometries. The proposed approach is illustrated and validated through two case studies involving the assembly of cyclic-symmetric profiles parts and an isolated trilobe part using 3D tolerancing methods, such as domain techniques, under well-defined assumptions. Results showed that the incorporation of learning algorithms significantly improves the robustness and efficiency of the proposed geometric analysis methodology. Finally, the paper discusses the advantages and limitations of the proposed methodology and highlights its potential integration into advanced geometric tolerancing frameworks for complex profiles.
