Geometry-driven thermal–fluid topology optimization using B-spline geometric primitives

Topology optimization has been widely applied to thermal–fluid design, particularly for channel-based systems. However, many conventional approaches rely on implicit density-field representations, making it difficult to preserve geometrically interpretable channel features and directly obtain editable CAD models. This study develops a geometry-driven topology optimization framework for cooling-system design based on a three-dimensional loft-based channel representation. Each channel is parameterized by a B-spline centerline and spatially varying cross-sectional profiles, enabling simultaneous control of its trajectory and sectional shape. The resulting geometry is mapped onto a fixed background mesh through a distance-field-based explicit–implicit formulation for thermal–fluid analysis. A predominantly analytical sensitivity scheme is developed for the geometry-to-field mapping, with finite-difference evaluation restricted to the computationally inexpensive rotation-minimizing-frame term. The local nature of the mapping is further exploited through narrow-band evaluation to improve computational efficiency. Curvature, domain-feasibility, adhesion, and self-support constraints are incorporated to preserve design intent and additive manufacturability. Numerical examples demonstrate that the method can generate complex two- and three-dimensional channels while retaining explicit geometric control, computationally efficient gradient evaluation, and direct reconstruction of editable CAD geometries.

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Publication Details

Journal
Advances in Engineering Software
Published
2026-10-17
DOI
https://doi.org/10.1016/j.advengsoft.2026.104317
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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Geometry-driven thermal–fluid topology optimization using B-spline geometric primitives

Kentaro Yaji, Jikai Liu, Shuzhi Xu
Advances in Engineering Software
Topology Optimization in Engineering
article

Geometry-driven thermal–fluid topology optimization using B-spline geometric primitives

Kentaro Yaji, Jikai Liu, Shuzhi Xu
article en

Abstract

Topology optimization has been widely applied to thermal–fluid design, particularly for channel-based systems. However, many conventional approaches rely on implicit density-field representations, making it difficult to preserve geometrically interpretable channel features and directly obtain editable CAD models. This study develops a geometry-driven topology optimization framework for cooling-system design based on a three-dimensional loft-based channel representation. Each channel is parameterized by a B-spline centerline and spatially varying cross-sectional profiles, enabling simultaneous control of its trajectory and sectional shape. The resulting geometry is mapped onto a fixed background mesh through a distance-field-based explicit–implicit formulation for thermal–fluid analysis. A predominantly analytical sensitivity scheme is developed for the geometry-to-field mapping, with finite-difference evaluation restricted to the computationally inexpensive rotation-minimizing-frame term. The local nature of the mapping is further exploited through narrow-band evaluation to improve computational efficiency. Curvature, domain-feasibility, adhesion, and self-support constraints are incorporated to preserve design intent and additive manufacturability. Numerical examples demonstrate that the method can generate complex two- and three-dimensional channels while retaining explicit geometric control, computationally efficient gradient evaluation, and direct reconstruction of editable CAD geometries.

Advances in Engineering SoftwareVol. 224
Shandong University (CN), The University of Osaka (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 18%
Topology Optimization in Engineering
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