OpenKnit: Open Source Digital Knitting
From OpenKnit:
OpenKnit is an open-source, low cost, digital fabrication tool that affords the user the opportunity to create her/his own bespoke clothing from digital files. Starting from the raw material, the yarn, and straight to its end use, a sweater for example, in about an hour. Designing and producing clothes digitally and wearing them can now happen in the very same place, rewarding the user with the ability to make decisions regarding creativity and responsibility. (homepage) (full instructions for a Wally120 open-source knitting)
Have we solved the nanomaterials problem?
Nick Hall for 3D Printing Industry: Researchers at Virginia Tech have potentially cracked a conundrum that has tormented the scientific community and created a viable method to produce usable metallic nanomaterials. Of course, 3D printing provided the answer and this really could change the world we live in.
Nanostructures have the capacity to disrupt a number of industries and they can revolutionize material science, medicine and battery technology to name just a few. If we can truly harness nanomaterials then almost every facet of modern life will change, from the clothes we wear to our water filtration system. It’s one of those breakthroughs that really could change everything.
So the potential is immense, but nanostructures are complex to produce in usable form. Scaling them up to a workable size has caused issues with the structural integrity, performance and consistency. Outside of the theoretical setting, they have largely frustrated us. Cont'd...
Using Silicon in Lithium Ion Batteries to Increase Capacity
We have demonstrated the ability to electrospin liquid CHS into silicon nanowires that when blended with carbon lead to performance comparable to that achieved by CVD grown silicon nanowires but at reduced cost and simplified scaling.
Where do you get the I/O for the IIoT?
Nick Butler, National Instruments for ControlDesign: Data is the heart of all Internet of Things systems, including systems deployed into industrial environments.
When we talk about making the aging electrical grid smarter or the factory of the future more efficient, what we’re really after are insights that can make our equipment and infrastructure smarter and more efficient. And to deliver these incredibly valuable insights, which will result in millions of dollars in savings, uptime or operational efficiency, we need data. Lots of it. We also need complex, computationally intensive algorithms that scour the data to find trends, patterns and anomalies (Figure 1).
While these algorithms and analysis routines are a very important piece of the IIoT puzzle, the best data scientists in the world cannot predict equipment failures without enormous amounts of data. Cont'd...
How Embedded Devices and the Cloud Are Leading a Paradigm Shift in Manufacturing and Production
This cannot be a simple extension of todays processes, but needs to be a complete rethink of how manufacturing and production systems are designed to take full advantage of the cloud and the analytics that it brings to bear.
Norsk setting up industrial scale additive manufacturing plant in New York
Aerospace Manufacturing & Design: Norsk Titanium U.S. is building the world’s first industrial-scale metal additive manufacturing plant by 2017 in Plattsburgh, New York. Officials at the aerospace structural company say the state of New York and the State University of New York (SUNY) Polytechnic Institutehave place an order for 20 Norsk MERKE IV Rapid Plasma Deposition (RPD) machines.
“We are proud to be a part of the unwavering vision and leadership of Governor Cuomo and are moving forward in support of his efforts to revitalize upstate New York with jobs, technology and community pride,” says Norsk Titanium Chairman of the Board John Andersen Jr. “Our researchers have spent ten years pioneering the Rapid Plasma Deposition process that is now ready to cut millions of dollars in cost from the world’s premier commercial and military aircraft, and with the foresight displayed in other sectors, the State of New York is the ideal place to launch this manufacturing revolution.”
Norsk Titanium President and CEO Warren M. Boley Jr. adds, “Today marks the beginning of a new erain the way aircraft, marine vessels, automobiles, spacecraft, and many industrial products are designed and built. Not only are we creating jobs, huge economic impact and great visibility for the wider Plattsburgh community, we are also making history by kicking off a new phase of on-demand, near-net-shape manufacturing that sets a new benchmark of efficiency and customer responsiveness.” Cont'd...
Atomic-scale additive manufacturing techniques could create stronger, lighter, smarter materials
Benedict for 3Ders.org: Researchers at Oak Ridge National Laboratory have predicted that atomic-scale 3D printing techniques could be used to create stronger, lighter, and smarter materials. Focused electron- and ion-based methods could be used to develop quantum computers, efficient solar cells, and other technology.
In a paper published in the journal ACS Nano, ORNL researchers have reviewed several methods of atomic-scale 3D nanofabrication, suggesting ways in which the processes could be refined in order to perfect the art of creating material at the atomic scale. While traditional 3D printers deal with shapes divided into layers which are then turned into physical objects, the process known as “directed matter” involves fabricating structures atom by atom. Scientists believe that this form of additive manufacturing could allow manufacturers of the future to create near-perfect materials with incredibly precise structures. Cont'd...
Logistic companies Swisslog, Dematic, Egemin and Intelligrated have all been Acquired
All these companies are logistics and material handling vendors and times are changing in logistics and fulfillment
Hitachi Begins Development of Factory Automation Platform as a Service Testbed
Kagan Pittman for Engineering.com: Will the Internet of Things be the future of manufacturing? Global conglomerate Hitachi Group seems to think so.
Hitachi recently partnered with Mitsubishi Electric and Intel to receive approval for their Factory Automation Platform as a Service (FA PaaS) Testbed at the Industrial Internet Consortium (IIC), a global non-profit organization.
The testbed will operate as a testing platform based on the reference model of IIC to test solutions in controlled scenarios that match real-world conditions, for the ultimate purpose of connecting manufacturing sites with head offices in order to streamline their operations.
Hitachi hopes to use the FA PaaS to respond to what they see as a market rapidly growing and demanding faster product development, market introduction, quality improvements and shorter lead times. Cont'd...
What Super-Efficient Manufacturing Looks Like
The Tesla factory in Fremont, California, and the Gigafactory in Nevada are monuments to science and progress.
Schneider Electric's three steps for implementing Industry 4.0
Eric Emin Wood for IT World Canada: Manufacturing companies with visions of incorporating the latest automated, cloud-based, analytical tech into their production process need to recognize the value of a measured approach, an original equipment manufacturing (OEM) veteran says.
Martin Stephenson, vice president of process automation for OEM Schneider Electric Canada, which specializes in power management, building management, datacentres, and process and automation control, says that while some firms are equipped to embrace the change right away, others might find that implementing what he calls “Industry 4.0” isn’t a good fit for them at all.
“Just because you can, doesn’t mean you should,” he says. “Customers need to have a truthful conversation with themselves and say, ‘How do we manage what we do now? Are we ready for this step? … Do we have the right infrastructure? Do we have the right cybersecurity in place?’ There are a lot of discussions to be had before this leap of faith happens.” Cont'd...
Rise in Robotics Requires New Tax Approach, EU Report Warns
Linda A. Thompson for Bloomberg: European lawmakers warn that the growing use of robots and artificial intelligence may cause job losses across the continent, threatening to result in plummeting tax revenues if current tax frameworks aren't revised to account for the rise of the robotic workforce.
Practitioners told Bloomberg BNA that taxing robots as “electronic persons,” as the EU contemplates in a recent report, would hinder innovation and that other ways of taxing the value that robotics create should be explored.
The recent European Parliament Committee on Legal Affairs draft reportrecommends the European Commission adopt a resolution to require companies to report on “the extent and proportion of the contribution of robotics and AI to the economic results of a company for the purpose of taxation and social security contributions.” Its first paragraph references Frankenstein, and comes amid mounting concerns that the rise in automation and artificial intelligence in the workplace will fundamentally alter economies, destroy jobs and jeopardize social welfare programs such as social security. Cont'd...
China's Midea buys nearly half of German robotics firm Kuka
The Star: Chinese appliances giant Midea moved a step closer to fulfilling its ambition to acquire German industrial robotics firm Kuka with two weekend deals raising its stake to nearly a majority.
Two of Kuka’s biggest German shareholders – technology company Voith and entrepreneur Friedhelm Loh – said they had decided to take up Midea’s offer of €115 (RM512) per share and sell their stakes.
German news agency DPA reported that Voith had agreed to sell its stake of 25.1% for €1.2bil (RM5.34bil).
And Loh told the business daily Handelsblatt he had decided to sell his stake of 10% for nearly €500mil (RM2.22bil).
Combined with its existing holding of 13.5% in Kuka, the two purchases mean Midea now holds 48.5%, or not far from the outright majority, in the Augsburg-based robot builder. Cont'd.. .
Understanding Industry 4.0
Process and device will become inseparable. This is the direction were heading in and it is all powered by the capabilities of Industry 4.0.
10 Ways Machine Learning Is Revolutionizing Manufacturing
Louis Columbus for Forbes: Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production.
Machine learning’s core technologies align well with the complex problems manufacturers face daily. From striving to keep supply chains operating efficiently to producing customized, built- to-order products on time, machine learning algorithms have the potential to bring greater predictive accuracy to every phase of production. Many of the algorithms being developed are iterative, designed to learn continually and seek optimized outcomes. These algorithms iterate in milliseconds, enabling manufacturers to seek optimized outcomes in minutes versus months.
The ten ways machine learning is revolutionizing manufacturing include the following:
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Featured Product
T.J. Davies' Retention Knobs
Our retention knobs are manufactured above international standards or to machine builder specifications. Retention knobs are manufactured utilizing AMS-6274/AISI-8620 alloy steel drawn in the United States. Threads are single-pointed on our lathes while manufacturing all other retention knob features to ensure high concentricity. Our process ensures that our threads are balanced (lead in/lead out at 180 degrees.) Each retention knob is carburized (hardened) to 58-62HRC, and case depth is .020-.030. Core hardness 40HRC. Each retention knob is coated utilizing a hot black oxide coating to military specifications. Our retention knobs are 100% covered in black oxide to prevent rust. All retention knob surfaces (not just mating surfaces) have a precision finish of 32 RMA micro or better: ISO grade 6N. Each retention knob is magnetic particle tested and tested at 2.5 times the pulling force of the drawbar. Certifications are maintained for each step in the manufacturing process for traceability.
