Author Archives: Stephen Warde

Granta’s Michael Ashby receives ICF Gold Medal

gold medal awarded to Professor Ashby

Granta’s very own Professor Michael Ashby is one of just six scientists to receive one of the 2017 International Congress on Fracture‘s highest honors, an Alan H. Cottrell Gold Medal.

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The Human Factor – A report from the 2016 Material Intelligence seminar

ugm-rolls-royce-amandeepThe 2016 Material Intelligence seminar (and associated 5th North European Granta User Group meeting) was hosted by Rolls-Royce in Derby, UK, earlier this month. One (perhaps rather obvious!) message came through to me loud-and-clear: when you’re trying to figure out how to get the best from a technology, nothing beats hearing from those who are already doing it.
Amandeep Mhay, project leader of the enterprise materials information management project at Rolls-Royce, shared experience of rolling out this program over 12 years. A phased approach has grown usage from a few tens of engineers in one business unit to thousands enterprise-wide. The system collates, tracks, and qualifies vital materials information, and makes it available in a controlled manner. Its homepage is one of the top ten accessed web pages across Rolls-Royce and cost benefits are estimated at £6.9m per annum.

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Materials data, Additive Manufacturing, and magic at Siemens PLM event

MII attended the Siemens PLM Connection event in Berlin last week – a gathering of over 1,000 users of engineering and product lifecycle software applications such as Teamcenter, Simcenter, and NX. Aside from the very entertaining iPad magician at the gala dinner, two things struck me from the conference sessions and discussions with other delegates.

The first was the emphasis on Additive Manufacturing (AM), with Siemens PLM launching new capabilities such as topology optimization for additive applications. There was a strong sense from attendees that this is a technology coming into its own, and an interest in how it applies to them. Of course, data about materials, processing parameters, and the relationship between the two is vital to developing effective AM.

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