The increasing focus on sustainability worldwide has collectively added impetus to market growth for additive manufacturing (AM) and additive generation. Various market research studies have identified the area of AM with metal materials as being a key growth segment. In fact, research by AMPOWER (ampower.eu), an industrial 3D printing consultancy from Hamburg in Germany has predicted that the metal additive manufacturing market will experience an annual growth rate of 25.5% until 2026.
In such a scenario, the special issue of Futurities, our magazine, begins with an interview with Johannes Gartner, VP of Additive Manufacturing Austria in which we seek to provide an overview of the current state of the market and the various segments that offer the greatest potential for industrial manufacturing and business application, and a discussion of some of the bottlenecks currently hampering widespread adoption and implementation.
To complement the value chain of Additive Manufacturing, we have included several pieces from different specialists in the AM sector, going from the powder experts, to the manufacturers and the AM quality control professionals, looking at this growing market from different perspectives and presenting various types of 3D printing processes and materials for industrial production.
Download the special issue on Additive Manufacturing – July 2023 of Futurities
CASE STUDY
This paper presents the RENAULT F1 Team’s AM process for an aerodynamic insert in titanium Ti6Al4V. Production was optimized by identifying the best orientation for the parts and the best positioning for the support structures in the melting chamber, in addition to using the ANSYS Additive Print module, a simulation software useful for predicting the distortion of a part and for developing a new, 3D, compensated model that guarantees the best “as-built” quality.
automotive additive-manufacturing optimization
CASE STUDY
With GENESIS or GSAM optimization tools, you can maximize additive manufacturing’s potential.
additive-manufacturing gtam-gsam ansys