Additive Manufacturing

e-Stage for Metal+ software optimizes data and build preparation for laser powder bed fusion (LPBF) systems using physics-based modeling to automate the support structure generation. The solution will help make metal additive manufacturing (AM) more economically viable.

lastometrex, a leading provider of advanced mechanical testing solutions, has supplied Renishaw, a prominent additive manufacturing OEM, with enhanced mechanical testing capabilities.

1000 Kelvin, the pioneering startup behind the advanced AI co-pilot platform for additive manufacturing, in collaboration with EOS have announced the integration of AMAIZE into the EOS software suite.

Additive Manufacturing enables new applications, and while established companies often struggle to fully embrace AM, startups are likely to take the risk associated with a completely AM-driven approach to manufacturing applications.

Renishaw TEMPUS technology uses advanced scanning algorithms that sequence the layer data in a way that maximizes productivity while maintaining part quality.

The research will feature state-of-the-art materials characterisation, and mechanical testing, investigating shelf life and the processability envelope of environmentally affected common stainless steel, titanium and superalloy base feedstock. It will also examine methods of reclaiming the powders and the effect on the final product.

The conventional approach to metal AM post-processing is a multi-stage process that demands meticulous attention to detail and a highly skilled, steady hand.

Oqton recently announced Oqton Build Quality, the latest enhancement to its Manufacturing OS (MOS) and 3DXpert products, designed to trace the quality of additively manufactured parts and evaluate build performance.

Researchers from EPFL have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection.

Complex thermal conditions in AM produce complex residual stress patterns. However, measuring real-time effects of processing on stress evolution is not possible with conventional techniques.