Additive Manufacturing

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.

Inkbit’s VCJ technology originated from traditional inkjet 3D printing, and now takes it to a whole new level by integrating an AI-enabled 3D computer vision scanning system that captures the print geometry of each layer in real time.

As a manufacturing-focused, high-performance 3D printing software solution that is machine independent and CAD agnostic, it brings agility and repeatability to the shop-floor, unrestricted from having to source individual tools from multiple vendors or being forced to use software that is tied to specific machines.

Software enhances precision, traceability, and repeatability, streamlining processes and pushing the boundaries of additive manufacturing and can be accessed through VIP Onboarding Program.

Materialise, a global leader in 3D printing software and service solutions, has announced technological advances to drive the adoption of additive manufacturing (AM) for volume production and end-use part manufacturing.