If you have questions about additive manufacturing, the experts are here to help. From ASTM to ISO to countless additive manufacturers, there is an organization that can address your specific application.
By applying DL with a Data-Centric Approach, Users Can Streamline Even the Most Challenging Manufacturing Steps with Fast, Accurate Automated Inspection.
A sub-discipline of artificial intelligence (AI), deep learning (DL) has become a breakout technology in high-profile market sectors such as retail and high-tech.
Renishaw will showcase additive solutions, from the initial stages of creating the near-net shape to quality verification processes, at the company’s RAPID booth (#4036) May 2-4.
In the fall of 2021, COVID-19 was a top concern for more than half of respondents in our September 2021 survey. Today that number is down to 17%, according to our Annual Quality Spending Survey, which surveyed subscribers in September 2022.
Additive manufacturing produces parts layer by layer and this opens up an array of unique issues that can affect the integrity of a finished product, and also a unique set of surface characteristics that make the job of measuring and validating that much more difficult.
NIST has awarded $3.7 million in grants to help address barriers to widespread adoption of metals-based additive manufacturing through measurement science research. Additive manufacturing typically creates parts and components by building them layer by layer, based on a 3D computer model. Most metals-based additive processes form parts by melting or sintering material in powder form.