Topology optimization provides innovative solutions for lightweight structural design by rationally arranging material distribution. It enhances structural performance while reducing material consumption and structural weight, thereby significantly lowering production and operational costs and generating enormous economic benefits. In the development of topology optimization, the density-based method has gained widespread adoption due to its easy-to-understand principles. However, this method still faces the following challenges when applied to engineering applications. First, the geometric models generated by topology optimization lack explicit parameter descriptions, leading to data interaction barriers with Computer Aided Design (CAD) systems. Second, due to element discretization and density penalty mechanisms, structural boundaries exhibit rough and blurred characteristics. These problems severely constrain the iterative efficiency of structural design and manufacturing feasibility. To address these issues, this paper proposes a strategy for geometric reconstruction and shape optimization of topology optimization results. The reconstruction process begins with extracting isolines from the density field as a set of contour points. These points are subsequently interpolated with B-spline curves to explicitly represent the geometric boundaries. Shape optimization is then carried out by adjusting the positions of the B-spline control points. Compared to post-processing methods based on graphics techniques for topology optimization, which ignore the volume constraint and performance loss, the structures reconstructed in this paper exhibits the following advantages: structural boundaries are smoothed and characterized with explicit parameters, reducing performance loss caused by geometric reconstruction while satisfying volume constraints. This paper successfully establishes compatibility between topology optimization and CAD systems, facilitating the transition from conceptual design to manufacturing.
This paper presents a study on the topological optimization of a structural component and the conversion of the optimized result into a manufacturable geometric model. The initial model was developed in a CAD environment and imported into the finite element analysis software, where boundary conditions and loading const...
F. Marin, M. Marin· The Annals of "Dunarea de Jo...· 0 citations
Fused deposition modeling (FDM) faces significant challenges in simultaneously achieving high forming efficiency and surface quality when processing models with complex geometric features, such as multibranch structures and independent holes. This article proposes an adaptive path planning method for such models. First...
Fei Zhang, Mei-Lin Gong, Min Wang et al.· 3D Printing and Additive Man...· 0 citations
The volumetric reduction characteristic of distinct Topology Optimization (TO) techniques is attractive to both academia and industry applications. Furthermore, structural reinforcement provides an economically viable alternative to improve the mechanical properties of parts, inducing greater performance in engineering...
M. César, H. Oliveira, E. Leonel· MATEC Web of Conferences· 0 citations
The design of profile extrusion dies remains a challenging task due to the complex rheological behavior of polymer melts and the geometric intricacies of flow channels. Traditional manual optimization approaches, which rely heavily on human experience, are inefficient and often employ unvalidated heuristics. To address...
Jana Sasse, Maximilian Esser, Markus Mügge et al.· 0 citations
Topology optimization and additive manufacturing complement each other: the freedom offered by design optimization enables the creation of complex, highly efficient structures that are often feasible only with additive manufacturing. However, most structural optimization methods assume isotropic material properties,...
D. Jantos, P. Junker· Proceedings in Applied Mathe...· 0 citations
Topology optimization (TopOpt) is a standard tool for structural conceptual design, providing optimal structures with great design freedom. However, it has a high computational costs due to the repeated evaluation of high-fidelity finite element models and frequently produces complex geometries that require extensive i...
Raul Rubio, À. Ferrer, J. A. Hernández et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.