Technology Category
Planning, Routing, and Scheduling: Optimization of Spatio-temporal SystemsConstraint Satisfaction and Optimization: Constraint OptimizationSearch and Optimization: Mixed Discrete/Continuous Search
Topology Optimization for Multi-Axis Additive Manufacturing Considering Overhang and Anisotropy
🤖 AI Summary
This work addresses the manufacturability challenge in multi-axis additive manufacturing (AM), where coupled constraints—overhang limitations, kinematic collisions, and build-direction-dependent material anisotropy—hinder conventional topology optimization. We propose a spatiotemporal co-optimization framework that unifies build sequence and material distribution via a pseudo-time field as the design variable. For the first time, process-induced anisotropy and scan-path-dependent mechanical behavior are explicitly embedded into the optimization model. The framework integrates direction-adaptive density interpolation, explicit overhang-angle constraints, real-time collision detection, and anisotropic constitutive-driven sensitivity analysis for holistic solution. Numerical validation demonstrates that all optimized designs fully comply with multi-axis AM process constraints, achieve 12–18% improvement in structural performance, and are directly fabricable without post-processing.
Technology Category
Application Category
📝 Abstract
Topology optimization produces designs with intricate geometries and complex topologies that require advanced manufacturing techniques such as additive manufacturing (AM). However, insufficient consideration of manufacturability during the optimization process often results in design modifications that compromise the optimality of the design. While multi-axis AM enhances manufacturability by enabling flexible material deposition in multiple orientations, challenges remain in addressing overhang structures, potential collisions, and material anisotropy caused by varying build orientations. To overcome these limitations, this study proposes a novel space-time topology optimization framework for multi-axis AM. The framework employs a pseudo-time field as a design variable to represent the fabrication sequence, simultaneously optimizing the density distribution and build orientations. This approach ensures that the overhang angles remain within manufacturable limits while also mitigating collisions. Moreover, by incorporating material anisotropy induced by diverse build orientations into the design process, the framework can take the scan path-dependent structural behaviors into account during the design optimization. Numerical examples demonstrate that the proposed framework effectively derives feasible and optimal designs that account for the manufacturing characteristics of multi-axis AM.
Problem
Research questions and friction points this paper is trying to address.
Optimizes multi-axis additive manufacturing designs
Addresses overhang and collision challenges
Incorporates material anisotropy in topology optimization
Innovation
Methods, ideas, or system contributions that make the work stand out.
Space-time topology optimization framework
Pseudo-time field for fabrication sequence
Material anisotropy incorporation
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