FIRST 3D TOOLS PRINTED ABOARD SPACE STATION
Evan Gough for UniverseToday: Astronauts aboard the International Space Station have manufactured their first tool using the 3D printer on board the station. This is another step in the ongoing process of testing and using additive manufacturing in space. The ability to build tools and replacement parts at the station is something NASA has been pursuing keenly.
The first tool printed was a simple wrench. This may not sound like ground-breaking stuff, unless you’ve ever been in the middle of a project only to find you’re missing a simple tool. A missing tool can stop any project in its tracks, and change everybody’s plans.
The benefits of manufacturing needed items in space are obvious. Up until now, every single item needed on the ISS had to be sent up via re-supply ship. That’s not a quick turnaround. Now, if a tool is lost or destroyed during normal use, a replacement can be quickly manufactured on-site. Cont'd...
Transforming 64-Bit Windows to Deliver Software-Only Real-Time Performance
Freed from the isolation of the real-time system and from other functions such as the user interface, OEMs are able to explore more innovative solutions with less risk and overhead.
MIT Food Computers
From MIT: The Food Computer is a controlled-environment agriculture technology platform that uses robotic systems to control and monitor climate, energy, and plant growth inside of a specialized growing chamber. Climate variables such as carbon dioxide, air temperature, humidity, dissolved oxygen, potential hydrogen, electrical conductivity, and root-zone temperature are among the many conditions that can be controlled and monitored within the growing chamber. Operational energy, water, and mineral consumption are monitored (and adjusted) through electrical meters, flow sensors, and controllable chemical dosers throughout the growth period.
Each specific set of conditions can be thought of as a climate recipe, and each recipe produces unique results in the phenotypes of the plants. Plants grown under different conditions may vary in color, size, texture growth rate, yield, flavor, and nutrient density. Food Computers can even program biotic and abiotic stresses, such as an induced drought, to create desired plant-based expressions... (project homepage)
Basic Assembly Skills Are as Important as Ever, Even in This Technology-heavy Era
Whatever advancements the future holds, production facilities will continue to need individuals who have a wide range of basic assembly skills and those individuals will always be indispensable.
Carnegie Mellon Taps Private Gift for Engineering Simulation Center
Dian Schaffhauser for Campus Technology: Carnegie Mellon University has launched a new collaboration with Ansys, a global company that produces software for engineering simulation. Under the terms of the agreement, the company will endow a new "Ansys Career Development Chair" in the College of Engineering and help fund a new building dedicated to the study of Industry 4.0. That facility will bring together faculty, students, researchers and corporate participants.
Industry 4.0 is the name given to a movement that uses sensor, robotic, simulation and other innovative technologies to shrink development cycles and transform product design, development and manufacturing.
The new 30,000 square foot facility, which will be known as the Ansys Building, is intended to expand the "making" capabilities of the college by adding a simulation and collaboration lab and a large open bay facility for undergraduate students to build full-scale projects. That open bay facility will be next door to the fabrication and machining facilities of the Hamerschlag Hall MakerWing, announced in December, where students will be able to make their components and then assemble them into larger systems. Cont'd...
Consider This When Buying a New VMC
The best vertical machining center for you is the one that meets your needs. Therefore, the first step when shopping for VMCs is to clearly determine what you need the machine to do.
How Small Manufacturers Can Leverage Smart Manufacturing
Andrew Waycott for Industry Week: I see three ways in which smaller manufacturers can leverage Smart Manufacturing. The first is the way applicable to all manufacturers—using today’s affordable sensors to get better data, then using that data to fine-tune the process, decrease variability and remove bottlenecks. All of these bring costs down and drive quality up.
Now let’s talk about the other two ways—ways that are specific to the smaller manufacturer.
Smaller manufacturers have the edge in building volumes of one—in other words, customized orders. For many smaller manufacturers, the look is less assembly line and more set of work stations. This means that the operator in a smaller plant typically makes more decisions. It’s a more people-oriented process. Cont'd...
Symmetric Multiprocessing or Virtualization: Maximizing the Value and Power of a Soft-Control Architecture
For a truly simplified and streamlined architecture that is high-performing, scalable, efficient. and built for long-term value, an SMP-enabled Soft-Control Architecture is recommended.
The Biggest Challenges of Data-Driven Manufacturing
Willy C. Shih and Helmuth Ludwig for Harvard Business Review: The widespread deployment of low-cost sensors and their connection to the internet has generated a great deal of excitement (and hype) about the future of manufacturing. The internet of things (IoT) and industrial internet in the United States, Industrie 4.0 in Germany, and 物"网 (wù lián wăng) in China are all centered on the application of big data and analytics to creating the next generation of manufacturing: using data to reduce costs through next generation sales and operations planning, dramatically improved productivity, supply chain and distribution optimization, and new types of after-sales services. In fact, IoT is at the peak of Gartner’s 2015 hype cycle, which suggests the next phase will be disillusionment, and it will be years before we see real productivity gains.
We believe data-driven manufacturing is indeed the next wave that will drive efficient and responsive production systems. But to get beyond the hype, managers need to understand some underlying challenges and paradigm shifts. While there are a multitude of challenges on the road to successful implementation, we think there are four especially important ones. Cont'd...
Why ECM is so Crucial Within the Manufacturing Sector
An Enterprise Content Management (ECM) system has the ability to reduce "scrap and rework," improve quality, help ensure regulatory compliance, track employee or customer certifications, and increase worker safety.
RAPID 2016 - HP begins selling its Jet Fusion 3D printer; says it's 50% cheaper, 10X faster than others
Lucas Mearian for ComputerWorld: Hewlett-Packard today began taking orders for its first 3D printer, the HP Jet Fusion printer, which it said will be up to 10 times faster than existing machines and can cut the cost of manufacturing parts in half.
At the RAPID 3D additive manufacturing conference here, HP revealed two models: the lower-cost and lower production 3200 series and the 4200 series, for which it is now taking orders. The 4200 series will begin shipping to manufacturers in October; the 3200 series will be available in mid-2017.
HP originally unveiled its Jet Fusion printer in October 2014.
HP claims its printer will enable mass production of parts through additive manufacturing (3D printing), instead of just rapid prototyping, for which the technology is typically used. The printers are unlikely to be used to produce millions or billions of production parts; think, instead, in terms of hundreds, thousands or tens of thousands of parts, HP said. Cont'd...
Sensors Expo 2016 And The Missing Secret Ingredient
In addition to the extremely popular and educational track presentations there will be both new and updated tracks, five unique pre-conference Symposia, ably presented by 90+ experts in their respective fields.
5 Real-Time, Ethernet-Based Fieldbuses Compared
This paper seeks to determine which standard offers the best value and has the best chance of being viable in the long term.
Hannover Messe showcases Industry 4.0 innovations
By Mike Bacidore, editor in chief for Control Design: How are you getting your share of the pie that is the $227 quadrillion Industrial Internet of Things (IIoT)? That’s a lot of money, and there’s plenty to go around, so what are you doing to cash in on this next industrial revolution? OK, to be fair, I made up that number. But, unless you’re a research analyst or someone putting together Q3 forecasts for your business unit, you didn’t even give that number a second thought.
And you probably shouldn’t. It doesn’t really matter. That number is as justifiable as it is arbitrary. Just pick an amount and then create a scenario and a timetable you can defend. “If you torture data long enough, it will confess,” Ronald Coase once said. The famed British economist also believed that the study of real-world markets was much preferred to speculating on theoretical ones.
In reality, this bold new landscape of connectivity has yielded opportunities for revenue streams steered by embankments of innovation. Nowhere was that more evident than at Hannover Messe in Germany, where Industry 4.0—the preferred European term, which includes IIoT, cyberphysical systems and more—was impossible to avoid and insistent in its resolve. Cont'd...
Biggest Challenges Of Mass Customization And Tips For Addressing These Challenges
Everything from web design to order management to shipping - not to mention the actual manufacturing process - has to change to accommodate a market of one.
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Engineering - Featured Product
Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
