研究目的
This study focuses on the design and production of stamping tools and dies for sheet metal components and injection molds for plastic components using Laser-based Powder Bed Fusion (LPBF) as the additive manufacturing method.
研究成果
3D-printed DIN 1.2709 is approved for stamping tools and dies for hot-dip galvanized DP600. Topology optimization and honeycomb inner structures improve material efficiency. For injection molds, optimized cores 3D-printed in Uddeholm AM Corrax improve cooling and cycle time. Despite higher initial costs, 3D printing offers significant lead time reduction and material efficiency improvements.
研究不足
The study is limited by the size constraints of LPBF (maximum size of 500 mm × 500 mm × 500 mm) and the higher costs of 3D-printed tools compared to conventionally made ones. The number of metallic materials suitable for 3D printing is also limited.
1：Experimental Design and Method Selection:
The study uses LPBF for additive manufacturing of tools and dies. It involves the design and production of stamping tools and dies and injection molds, with a focus on topology optimization and material efficiency.
2：Sample Selection and Data Sources:
The materials used include maraging steel DIN 1.2709 for stamping tools and dies, and Uddeholm AM Corrax for injection mold cores. The work-piece material is 2-mm thick hot-dip galvanized DP
3：2709 for stamping tools and dies, and Uddeholm AM Corrax for injection mold cores. The work-piece material is 2-mm thick hot-dip galvanized DPList of Experimental Equipment and Materials:
600.
3. List of Experimental Equipment and Materials: 3D Systems ProX DMP and EOS M290 3D printers are used. Materials include DIN 1.2709 and Uddeholm AM Corrax.
4：2709 and Uddeholm AM Corrax.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The study involves 3D printing, heat treatment, machining, and testing of tools and dies. The performance is evaluated based on surface quality and burr height for stamping tools, and cooling efficiency for injection molds.
5：Data Analysis Methods:
The study evaluates tool performance based on surface quality, burr height, cooling efficiency, and cycle time reduction.
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