Data is king: what to expect from AMUG (Authentise Weekly News-In-Review – #115)

AMUG is here! We’re in the Expo at booth B37, come to say hi to our team!

Although not all AM companies have already revealed their cards right from the get-go, we already have a feeling for what is going to be a strong trend at this year’s user group event: data. Hardware has come to the point where optimizations need to happen elsewhere to see true production AM come to fruition. That means using smart frameworks and analytical software to iron out the deficiencies, making AM into a reliable production tool. Identifying defects before printing ever happens is key to minimize time and material loss. A collaboration between AlphaSTAR & Raytheon has created a workflow for the qualification of missile parts, thus not only perfecting the manufacturing process but also guaranteeing a part that is up to industry standards. We at Authentise have very recently announced a partnership with Microsoft to enable intuitive automations from within their Flow platform, further enhancing the power of our customer’s digital thread. Our guess is that it’s not the last we’ll hear of movement in data strategies from the event. Big players are investing more and more into machine learning and AI projects to get new insights into their operations and potential new avenues for innovation.

AlphaSTAR & Raytheon to present ‘Qualification of an AM Missile’ at AMUG 2019

[…] AlphaSTAR Corporation and Raytheon have cooperated on a project to predict the Additive Manufacturing Process and Service Loading of an as-built additively manufactured part. Using an ICMSE framework, and feeding through a building block Verification, Validation and Accreditation (VVA), the teams set out with the goal of identifying part issues before building the component, thus saving time, lowering risk and reducing scrap rate.

Read the full article at Metal AM.

Authentise Empowers Manufacturing Operators through Collaboration with Microsoft

Active Flow

Authentise has agreed to a multi-year collaboration with Microsoft to utilize Microsoft Azure and integrate Authentise’s workflow management system into Microsoft Flow. The integration with Flow, which goes live this week on the Microsoft Flow Gallery, gives operators directly involved in additive manufacturing quoting, production and analytics processes the opportunity to create their own automations without any coding knowledge.

Read the full press release here.

McDonald’s Bites On Big Data With $300 Million Acquisition

McDonald’s is set to announce that it has reached an agreement to acquire Dynamic Yield, a startup based in Tel Aviv that provides retailers with algorithmically driven “decision logic” technology. When you add an item to an online shopping cart, it’s the tech that nudges you about what other customers bought as well.

Read the full article on Wired.

 

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The Many Faces of Automation in Today’s Industries (Authentise Weekly News-In-Review – Week 35)

Automation is bringing about transformation to today’s manufacturing in many shapes and forms. Giants like McDonald’s are having a revival in productivity (and profits) thanks to smarter food handling systems. Similarly, renewal projects of power plants across the US employ automation to slash the number of employees considerably. Flexibility and performance find a match in Fraunhofer Institute’s new SelfPaint system, which enables factories to automate painting of individual objects.

Automation key to McDonald’s revival

A McDonalds restaurant in France.

Fast food giant McDonald’s has seen a significant rise in second quarter profits. This is being put down to new ways of working and automation, leading to increased productivity. McDonald’s net income leapt by 28% to $1.4B in the second quarter, Business Times reports. This predicted increase in growth is attributed to a continuation of technology designed to aid manufacturing automation and with McDonald’s further application of digital technology to automate the customer experience.

Read the full story at Digital Journal.

SelfPaint tech automates painting of one-off objects

A SelfPaint-guided robot paints a chair, with its calculated

German and Swedish scientists from the Fraunhofer Institute are developing a system known as SelfPaint, which will allow robots to figure out how to paint individual objects. It could reportedly reduce paint use by 2%, energy consumption by 15%and production time by 5%. First of all, a 3D scan of the item is performed. Next, the path that the robot will travel while painting is mapped out. The painting process itself then takes place, followed by an inspection to check that the coating of paint is thick enough.

Read all about SelfPaint at NewAtlas.

Automation Is Engineering the Jobs Out of Power Plants

View of a Mitsubishi-made gas-fired turbine

Gone are many of the mechanics, millwrights, and welders who once held high paying jobs to keep coal-fired power plants operating. […] the extensive use of analytics and automation within natural gas-fired power plants means that staffing levels can be cut to a fraction of what they were a decade ago. On August 1, Michigan-based DTE Energy revealed plans to spend almost $1B to build a 1,100-MW gas-fired power plant. When the station enters service in 2022, it will replace 3 existing coal-fired units that currently employ more than 500 people. Job openings at the new gas-fired plant? 35 full-time employees, says a DTE spokesperson.

Check out the full analysis on IEEE Spectrum.

 

Our Twitter feed has a lot more news and insights on AM and IIoT, check it out! Don’t forget to come back next week for another edition of hand-picked brain candies for you to feast on.