High Efficiency Motors

To understand the concept of high efficiency motors, you must first know how to calculate efficiency and the losses associated with the motor components themselves.

Trump promises to bring back manufacturing jobs, but robots won't let him

Lora Kolodny for TechCrunch:  For Americans struggling with stagnant wages, under- or un-employment, one of Donald Trump’s most appealing campaign promises was to bring manufacturing jobs back to the U.S. Navigating the complexities of policy, tariffs and geopolitics would make that hard enough already for the president elect. But technology will make this promise nearly impossible to fulfill. Why? Because manufacturing jobs are increasingly done by robots, not people. Robotics have already helped reduce reliance on labor overseas for manufacturers in automotive, electrical and electronics industries, according to a fresh policy report from the United Nations Conference on Trade & Development.  Cont'd...

China Adopts Cybersecurity Law Despite Foreign Opposition

Bloomberg News:  China has green-lit a sweeping and controversial law that may grant Beijing unprecedented access to foreign companies’ technology and hamstring their operations in the world’s second-largest economy. The Cyber Security Law was passed by the Standing Committee of the National People’s Congress, China’s top legislature, and will take effect in June, government officials said Monday. Among other things, it requires internet operators to cooperate with investigations involving crime and national security, and imposes mandatory testing and certification of computer equipment. Companies must also give government investigators full access to their data if wrong-doing is suspected. China’s grown increasingly aggressive about safeguarding its IT systems in the wake of Edward Snowden’s revelations about U.S. spying, and is intent on policing cyberspace as public discourse shifts to online forums such as Tencent Holdings Ltd.’s WeChat. The fear among foreign companies is that requirements to store data locally and employ only technology deemed “secure” means local firms gain yet another edge over foreign rivals from Microsoft Corp. to Cisco System Inc.   Cont'd...

CNC Inspection Software Reduces Time Needed to Machine Composite Parts

PowerInspect has dramatically improved our ability to locate and align parts with complex curved surfaces

Automating One Acre Under Glass

Richmond Nursery in Ontario Saves More Than $50,000 a Year Using an Leviton Environmental Control System

Tesla is buying a German engineering company to automate factories

Matthew DeBord for Business Insider:  On Tuesday, Tesla announced that it will acquire Grohmann Engineering, a German automated manufacturing company. The terms of the deal, which is subject to German regulatory approval, weren't disclosed. In a statement, Tesla described Grohmann as a "world-renowned engineering company in Prüm, Germany, which will become Tesla Grohmann Automation."   Cont'd...

Lift Gate Provides Added Flexibility to SmartFlex System

With a typical lift gate conveyor, the entire conveyor pivots using the motor as a counter balance and a gas strut to assist in the lifting process.

For Visio, PDF is the new DWG

During discussions with the Visio product team I realized that PDF is the new intermediate file format for Visio, not DWG. For example, PDF's from AutoCAD are plotted at a specific paper size and scale, perfect for Visio.

6 machine learning misunderstandings

Ryan Francis for NetworkWorld:  Machine learning isn’t confined to science fiction movie plots anymore; it’s fueled the proliferation of technologies that touch our everyday lives, including voice recognition with Siri or Alexa, Facebook auto-tagging photos and recommendations from Amazon and Spotify. And many enterprises are eager to leverage machine learning algorithms to increase the efficiency of their network. In fact, some are already using it to enhance their threat detection and optimize wide area networks. As with any technology, machine learning could wreak havoc on a network if improperly implemented. Before embracing this technology, enterprises should be aware of the ways machine learning can fall flat to avoid setting back their operations and turning the c-suite away from implementing this technology. Roman Sinayev, security intelligence software engineer at Juniper Networks, cites ways to avoid the top machine learning missteps.   Cont'd...

Time for Monumental Thinking in Additive

Karen Haywood Queen for AdvancedManufacturing.org:  The limits of CAD and CAE tools and the STL file format are holding manufacturers back As additive manufacturing emerges from a long infancy, the industry is grappling with a key challenge: A file format and design tools from the 20th century are being asked to do 21st century jobs. “The industry was a hobby industry for 25 years and it’s starting to grow up,” said Kirk Rogers, technology leader at GE. “You made a 3D model and it had a cool factor—Mickey Mouse or a little chess piece—it was awesome to look at,” said Kenneth Church, CEO of the R&D engineering firm Sciperio, as well as the 3D printing firm nScrypt. “What if I made it functional?    Cont'd...

Industry 4.0-based Network Manager Ensures Solid Industrial Connectivity

Network connectivity of industrial equipment and devices is a vital element of Industry 4.0. If the connection fails, all data communication from field devices to back-end servers and cloud networks will be halted, disrupting the operation of Industry 4.0.

With 3D printers and nanofingers, HP Labs builds a new future

Stephen Shankland for CNet:  Get ready for the third chapter in the book of Silicon Valley. During the first chapter, innovation in Silicon Valley was about atoms, carving up silicon wafers into the electronic transistors that started the computing revolution. The second one, more ethereal, brought the triumph of internet services like Facebook and Google. To be competitive now, a company must blend both approaches. That's the view of HP Chief Engineer Chandrakant Patel, who rose through the HP Labs ranks over 30 years to secure 151 patents and become the company's chief engineer. "The 21st century will require Silicon Valley to be a cyber-physical valley," Patel said.   Cont'd...

How Blockchain will Transform the Enterprise

With machine-to-machine communication, how does one validate "identities" and secure data at such massive scale.

Manufacturing's Productivity Myth

Justin Fox for Bloomberg:  The U.S. manufacturing sector is far from the basket case it is sometimes made out to be on the campaign trail. But it's important to realize that it isn't exactly going gangbusters, either. The everything's-OK line about U.S. manufacturing goes something like this: Yes, lots of manufacturing jobs (7.3 million, to be precise-ish) have been lost since employment in the sector peaked in 1978, but real manufacturing output is at an all-time high. So the manufacturing sector is doing fine -- it's just that thanks to automation and other technological advances it has gotten much more productive and thus doesn't need as many workers.   Cont'd...

Smart Factory Hackathon: Talented data-science specialists develop solutions for the factory of the future

Press Release via AutomotiveWorld:  “Data drives our production – you innovate from our data” is the motto of the Smart Factory Hackathon, which was held at the Audi Forum Ingolstadt from October 19 to 21. Talented young data-science specialists from the fields of IT, mathematics and engineering developed innovative software solutions for the factory of the future, based on genuine but anonymized data sets from Audi’s production. On Friday afternoon, the winners of the IT competition were awarded their prizes: The “Happy Unicorns” team won first prize with its idea on the subject of container management. The Smart Factory Hackathon is a programmers’ marathon in which participants work out digital solutions and prototypes for genuine application cases over a period of 24 hours. For the competition, more than 20 departments from the pre-series center, toolmaking, paint shop, assembly and logistics had provided anonymized data sets with which the teams had to work. The results were assessed by a jury of four Audi experts and the startup consultant Thorsten Weber from “UnternehmerTUM,” the center for innovation and startups at the Technical University of Munich. The teams then presented their ideas to an audience. The winners were decided equally by the jury assessment and the audience’s votes.   Cont'd...

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