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Optimization of Components with Topology Optimization for Direct Additive Manufacturing by DLMS
Frantisek Sedlacek1, Tomas Kalina1, Martin Stepanek1
1Faculty of Mechanical Engineering, University of West Bohemia, 301 00 Plzen, Czech Republic.
Materials (Basel, Switzerland)
|August 12, 2023
Summary
This study introduces a new method for using topology optimization results directly as final product shapes, streamlining design and reducing errors. A racing car steering column housing was successfully designed, 3D printed, and validated using this approach.
Area of Science:
- Mechanical Engineering
- Additive Manufacturing
- Computational Design
Background:
- Traditional design workflows often require extensive remodeling after topology optimization.
- Data transfer between design and simulation software can lead to errors and inefficiencies.
- Direct utilization of topology optimization results can significantly shorten product development cycles.
Purpose of the Study:
- To present a novel design methodology that directly uses topology optimization outputs as the final product shape.
- To streamline the design process by minimizing remodeling and eliminating data transfer issues.
- To reduce manufacturing errors through integrated process simulation.
Main Methods:
- Topology optimization was performed using Siemens NX Topology Optimization.
- Verification analysis was conducted using the NX Nastran solver.
- A case study involved designing a racing car steering column housing.
- The optimized part was fabricated using AlSi10Mg via direct metal laser sintering (D3 printing).
Main Results:
- The proposed methodology successfully integrated topology optimization with downstream manufacturing processes.
- The fabricated steering column housing met performance requirements during real-world validation.
- Remodeling steps and data import/export issues were eliminated, simplifying the workflow.
Conclusions:
- A comprehensive design methodology for direct utilization of topology optimization was developed and validated.
- The approach significantly enhances design efficiency and reduces potential manufacturing errors.
- This methodology offers a viable solution for rapid prototyping and production in demanding applications.

