The rate of adoption of additive manufacturing (AM) is incredible. AM brings a physicality to ideas, and offers ways for people to touch upon solutions that would have been impossible to otherwise imagine. Equally impressive is the scale of investment in machines for producing AM parts, which is of course supported by business cases highlighting reduced development times, fewer prototype costs, reduced part counts, and flexible manufacturing. But, I am seeing more and more evidence that the prescribed route to this ‘Nirvana’ is via a process of trial and error for settings, powders, and even machine capability.
Being dependent on the above approach is stressful, anti-innovative, and a waste of both resource and money. Although Thomas Edison famously made thousands of failed light bulbs before he got one to work, I’m sure he would have preferred to have taken a more methodical and knowledge-based approach if he could.
For additive manufacturing especially, a comprehensive approach to managing machine, powder and settings selection is needed to close the loop of create, test, improve. Robust, pedigreed, and version-controlled data is required to evaluate and support design and manufacturing processes. Intelligent materials data management accelerates the time to value for AM machinery, and reduces the time taken to achieve qualification and certification of AM parts.
Join our live webinar ‘Additive Manufacturing — Understanding critical process parameters and supporting the digital thread’ on Thursday, February 15, and hear how to make AM a standard manufacturing method in your organization. Register here >
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Southern Texas is the hub of the US’ supply of speciality chemicals and petrochemicals; the basis of plastics used to manufacture everything from water bottles to pill coatings. So, when Storm Harvey hit the Gulf Coast in 2017, companies within the US and worldwide were affected. For example, the close of company Arkema alone resulted in the loss of supply of 50% of the US’ supply of ethylene and polyethylene, and 40% of its chloralkaline and polyvinyl chloride.
When the availability of materials can be cut drastically short at a moment’s notice, how can companies be prepared to respond?
Educators teaching introductory materials science courses know the drill: we have large classes filled with students from diverse backgrounds, with divergent aspirations and interests. And as with any type of compulsory learning experience, we look out onto a sea of people – some of whom want to be there; some don’t – and are tasked with finding how best to convey an understanding of a vast range of scale and concepts. Arguably, at this introductory level, the most fundamental of which is the relationship between Process, Structure, and Properties – otherwise known as the materials paradigm.
As any simulation analyst can tell you, quality materials and property data is essential for modeling and simulation within product design. However, this information often exists in many different formats and locations throughout an organization. For authors of data, generating the right materials information for simulation (usually by analyzing populations of materials test data) can be time consuming, the process can be inefficient, and it’s certainly always complex. Moreover, the final data that’s produced out of this process is not always then traceable to its source.
Chip Ganassi has been a fixture in the auto racing industry for more than 30 years and is considered one of the most successful and innovative owners in the sport
CES Selector has been used for some pretty cool things over the years, and it’s great to hear how our solution is helping the legendary Chip Ganassi Racing Teams (CGRT) zoom towards victory.
A casual observer at this year’s Material Intelligence seminar (and associated 6th North European Granta User Group meeting), held earlier this month at the Manufacturing Technology Centre (MTC) in Coventry, UK, will have come away with one core message. Whether we’re talking about processes, materials data, or driving a cultural change, the key to success is having a singular purpose and approach.
GRANTA MI:Materials Gateway for Creo – an upgrade option that enables Creo users to access their corporate materials database within Creo
Manufacturing organizations are increasingly recognizing that the critical IP they have developed in relation to the engineering materials that they use needs to be managed in a comprehensive and cohesive way. In our latest blog post over at #LiveWorx, we look how to more effectively digitalize and then apply this evolving materials information, in order to save time and cost, drive innovation, and reduce risk.
What are you doing on 21st November?
Join us at our Open House Evening and explore what life is like at an innovative Cambridge software company, with top engineering customers (e.g. Rolls-Royce, NASA, Boeing, Jaguar Land Rover) and a highly skilled multi-cultural team.
From 6.30pm at the Granta offices, you’ll have the opportunity to meet the people making a material difference in industries ranging from aerospace to consumer electronics. Find out about our unique ethos, great achievements, and why we’re so passionate about what we do.
SusCritMat will host its first Winter School in Les Diablerets, Switzerland
The risk management of critical materials supply chain for industries in renewable energy sectors is an important factor for success. Thus, knowledge about the topics related to critical raw materials, their environmental and social impact, principles of eco design and materials selection methodology are all important for future engineers to be prepared dealing with the real-world industrial challenges to deliver safer, greener and cleaner products.
Together with the Altair Partner Alliance, all of us at Granta are excited to announce that our powerful material selection tool, CES Selector, is now available for use by HyperWorks customers. It almost goes without saying that CES Selector is the industry standard tool for materials selection and graphical analysis of material properties. It is used to innovate and evolve products, quickly identify solutions to materials issues, confirm and validate material choices, and reduce material and development costs.