增材制造（英文版）_58页_2mb

Additive Manufacturing Summary

Core Content

Additive Manufacturing (AM), also known as industrial 3D printing, refers to the process of building up successive layers of formless materials (such as plastics, metals or composites) using digital 3D models. This technology enables the production of complex shapes and is a key enabler of smart, connected manufacturing, particularly in the context of Industrie 4.0. While AM is not yet capable of revolutionizing industrial production on a large scale, it is experiencing significant growth and has the potential to reshape value creation and business models.

Main Viewpoints

• AM is not a single technology but a diverse field that includes various methods such as Fused Deposition Modelling (FDM) and Selective Laser Melting (SLM).
• Industrial applications of AM are expanding, including the production of prototypes, tools, and end products, especially in sectors like jewelry, medical and dental technology, and aerospace.
• AM offers high design flexibility, eliminating the need for traditional molds, but this flexibility is limited by the specific technology used and the need for support structures in some cases.
• AM is not yet cost-effective for mass production of simple, low-value parts, but it is ideal for mass customization and small series production.
• AM has the potential to improve resource efficiency in industrial production, but its full impact on the economy, environment, and society still needs to be assessed.

Key Information

Current Technologies

• Fused Deposition Modelling (FDM): A widely adopted technology after its patent expired in 2009.
• Selective Laser Melting (SLM): A more expensive and advanced technique used for high-strength metal parts.
• Other methods include LOM (Laminated Object Manufacturing), SLS (Selective Laser Sintering), and DMLS (Direct Metal Laser Sintering).

Applications

• Prototyping: Used in the automotive and medical industries for creating visual aids and models.
• Tooling: Manufacturing molds and tools with complex geometries.
• End products: Production of small parts, custom items, and one-off products in industries such as jewelry and medical devices.
• Potential future applications: Medicine (custom implants), food (personalized nutrition), and construction (on-site building components).

Value Networks

• AM allows for decentralized production, reducing the need for transportation of parts.
• It changes traditional value networks by enabling on-demand manufacturing and mass customization.
• Post-processing is still labor-intensive, which limits the feasibility of large-scale production.

Business Models

• AM supports new business models such as digital marketplaces for 3D CAD models and process parameters.
• It enables shorter lead times and greater flexibility in production planning.
• However, cost-effectiveness and standardization remain key challenges for widespread adoption.

Success Factors

• Technological maturity: AM technologies are still evolving, with significant variations in performance and application.
• Investment costs: Ranging from 500 euros to over 1 million euros, depending on the technology.
• Data security and standardization: Critical issues that need to be addressed for AM to be fully integrated into industrial processes.

Anticipated Developments

• Process chain digitalization is expected to drive the development of new business models and services.
• Improved materials and processes will enhance the mechanical properties and reliability of AM products.
• Increased automation in data preparation and post-processing could reduce manual labor and improve efficiency.
• Regulatory and safety standards need to be developed to support the growing use of AM in industrial and societal contexts.

Theses

1. AM has significant potential in industrial production but is not yet a revolutionary force.
2. The design flexibility of AM is a major advantage, especially in complex geometries.
3. AM supports mass customization and can be a key part of Industrie 4.0.
4. The use of AM in areas such as medicine and construction could have long-term societal impacts.
5. Standardization and data formats are critical for the development and integration of AM.

Recommendations

Research

1. Conduct research to improve the productivity and reduce the drawbacks of AM technologies.
2. Develop systematic design guidelines for all AM technologies.
3. Create new data formats to support the digitalization of AM processes.
4. Analyze the impact of AM on value networks and society.

Implementation

5. Standardize data sets for 3D geometries, material formulae, and process parameters.
6. Develop dedicated quality assurance methods for AM.
7. Accelerate the integration of basic research into industrial applications.
8. Create strategies for combining AM with conventional manufacturing systems.
9. Develop decision-making tools to support strategic planning in AM.

Education

10. Enhance traditional occupational profiles with new skills related to AM.
11. Utilize AM to teach STEM subjects in schools.

Funding

12. Establish a research program to secure Germany's position as a leading AM supplier and market.

Conclusion

While AM is not expected to revolutionize industrial production in the near future, it has the potential to significantly augment existing methods. To fully leverage its economic and environmental benefits, Germany must take concerted action in research, implementation, education, and funding. The collaboration between acatech, Leopoldina, and the Union of the German Academies of Sciences and Humanities is essential to guide the development of AM in a sustainable and strategic manner.