ML to bring material intelligence to additive manufacturing

ML to bring material intelligence to additive manufacturing

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By Rich Pell

In the collaboration, Intellegens’ machine learning technology, Alchemite, will be embedded within Ansys’ materials data management platform, Granta MI. The combination of the two technologies, say the companies, will make it quick and easy for AM project teams to analyze data from experiment, simulation, or production generating models that capture vital insights that are used to optimize process parameters and powders, improving the quality of AM parts while cutting time to market.

“Intellegens’ machine learning technology offers a ready-made solution to key data analysis challenges faced by our Additive Manufacturing customers,” says Rob Davis, Director of Product Management, at Ansys. “Integration with Ansys Granta MI creates a unified workflow for capturing and applying results from AM testing, simulation, and production.”

Alchemite deep learning algorithms very rapidly find relationships within complex datasets, even when that data is ‘sparse’ (i.e., has many empty values), making it ideal for AM teams seeking to exploit data brought together from multiple sources. It extracts all possible knowledge from the data to identify the critical combinations of factors that ultimately control the performance of AM parts.

Alchemite needs no prior knowledge of which parameters are likely to be important – a significant advantage in this emerging technology area. Applications throughout the AM workflow include:

  • Process parameter optimization for AM processes
  • Computational design of AM materials
  • Failure analysis and quality control
  • Data validation and gap-filling
  • Assisted Design of Experiments (DoE) for AM

Granta MI, say the companies, is the de facto standard for materials data management in engineering enterprises and is applied in AM applications to capture, in a single place, all of a company’s AM data. This includes data on the properties of powders and raw materials, machine build parameters, post-build processing data, test results for AM parts, and simulation data from the Ansys AM simulation suite.

Integrating Alchemite into this holistic system, say the companies, will make it straightforward to analyze the full range of this data in the search for key process/property relationships and to continuously improve models as the data is updated.

“Merging the data management capabilities of Ansys’ Granta MI with the machine learning prowess of Alchemite is a perfect fit,” says Dr. Gareth Conduit, CTO at Intellegens, “promising to deliver deep insights to Additive Manufacturing workflows. We look forward to working with the global Ansys network to deliver the benefits of machine learning to many more AM project teams.”


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