March 22, 2016 Volume 12 Issue 12

Electrical/Electronic News & Products

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What are Onshape Custom Features?

Certified Onshape Professional Too Tall Toby explains how to supercharge your workflow using community-created tools. In this insightful tutorial, he dives into the world of FeatureScript -- the powerful coding language behind Onshape. Learn where to find new scripts and how to use them. Save time. Learn new skills, shortcuts, and maybe even better ways to do things. Incorporate Custom Features into your everyday work. Very useful.
View the video.


What can you do with touchless magnetic angle sensors?

Novotechnik has put together an informative video highlighting real-world applications for their RFC, RFE, and RSA Series touchless magnetic angle sensors. You may be surprised at the variety of off-highway, marine, material handling, and industrial uses. You'll learn how they work (using a Hall effect microprocessor to detect position) and their key advantages, including eliminated wear and tear on these non-mechanical components. We love when manufacturers provide such useful examples.
View the video.


What can the new Autodesk Inventor AI Assistant do for you?

Autodesk Assistant brings industry-specific context to help execute tasks and orchestrate actions across your 3D models -- not just answer questions. Designed to understand your workflows, Assistant appears as a dockable panel alongside your Inventor workspace and includes the ability to perform complex tasks or gather information from your designs without writing a single line of code. Find out what this new AI "colleague" can do for you.
Watch this informative Autodesk video.


Useful! Snap-together LED enclosure lighting

Seifert StripLite SL 4000 Series LED enclosure lighting provides bright illumination to 700 lumens. On/off switch and motion sensor models are available. Easily daisy chain up to 16 light strips. Magnetic or clip mounting. See video/info on website or contact Bristol Instruments for more information.
Learn about snap-together lighting.


Next-gen multi-touch panels

Beckhoff's Next line of multi-touch control panels and panel PCs is engineered for demanding human-machine interface and control tasks. These panels offer convenient operation with advanced multi-touch technology, a high-quality look and feel, anti-glare and anti-ghosting effects, and a wide choice of formats (from 7 to 23.8 in.) and options. A main draw is the line's attractive pricing.
Learn more.


Most powerful handheld 3D laser scanner on the market

Creaform, a business of AMETEK, has launched HandySCAN 3D|EVO Series, the most powerful handheld 3D laser scanning solution on the market. This innovative series features a built-in touchscreen display and an integrated high-res 12-MP photo camera, incorporating augmented reality (AR) and advanced on-scanner visualization. Users can streamline repetitive inspections and enhance quality control processes using the new auto-alignment feature. Powered by 46 blue laser lines with accuracy of 0.020 mm. The Creaform Metrology Suite includes four application software modules: Scan-to-CAD, Inspection, Automation, and Dynamic Tracking. So many more features.
Learn more.


Continental develops first sensor to measure heat in EV motors

Global automotive supplier Continental has developed a new sensor technology that measures the temperature inside permanently excited synchronous motors in electric vehicles directly on the rotor for the first time.
Read the full article.


LEDs with highest output power available

The new OCI-460 SWIR LED series from EPIGAP OSA Photonics features markedly improved output power compared to the company's previous OCI-480 package and all competitive SMD SWIR LED devices. For example, model OCI-460 ID1550-XS operates at 1,550 nm and features drive current up to 1.5A to deliver approximately 13% higher output efficiency over EPIGAP's OCI-480 package. This impressive advancement features 96% higher output power compared to any other SWIR SMD LED currently on the market. Ideal for use in sensing, machine vision, and more.
Learn more.


AI and collaboration in SOLIDWORKS

Discover AURA, the new AI assistant built into SOLID-WORKS, in this informative video from TriMech Group. What can AURA do for you? It can streamline workflows and make collaborating on and tracking projects even easier, for starters. Other top features of SOLIDWORKS Design 2026 are also covered. Some good tips here.
View the TriMech Group video.


Solutions for weighing and force measurement

Automation-Direct now offers Sensy 2172L series single point, 5510 series shear beam, and 2782 series tension/compression load cells that deliver flexible solutions for weighing and force measurement. They are ideal for applications ranging from small packaging scales to rugged industrial tanks and conveyor systems. Built from aircraft-grade aluminum or stainless steel, these models feature built-in overload protection, accuracies down to 0.03% of full scale, protection ratings up to IP67, and capacities up to 2,000 kg.
Learn more.


Top Product: Future-proof enclosure cooling

Seifert's new SLIMLINE NEO ushers in next-generation industrial cooling with natural refrigerant R290 (GWP 0.02) and high-efficiency inverter technology. It cuts energy costs with EER up to 3.6, reduces refrigerant charge by 75%, and extends electronics life. A fully redesigned, lighter, smaller enclosure delivers lower vibration, better component protection, and easier handling. Available in two elegant surfaces: stainless steel and mild steel, powder coated.
Learn more.


Coin cell supercapacitors: High capacity, quick release

Coin cell supercapa-citors are compact, high-capacity energy storage devices that rapidly charge and discharge and endure far more cycles than rechargeable batteries. They're ideal for high switching loads such as real-time clock and battery back-up power, battery-swap ride-through, and LED or audible alarms. SCHURTER's latest versions support up to 5.5 V and 100 to 1,500 mF.
Learn more.


Tech Tip: Mastering sheet metal bend calculations in Onshape

Mastering bend calculations in sheet metal design is a key skill that can impact the accuracy and manufactur-ability of your designs significantly. Explore the various options available to become a pro in this Onshape Tech Tip: K Factor, bend allowance, and bend deduction, with guidance on when each should be used. You will probably learn something even if you don't use this software.
Read the Onshape blog.


Digital Engineering: How a private jet gets a high-end refurb

Ever wonder how private jets get overhauled from standard OEM layouts to exotic, artful interiors? It takes engineering expertise, specialty design skills, and true craftspeople. Increasingly, it also takes automation provided by middleware to weave a digital thread through CAD, BOM, ERP, and PDM software.
Read the full article.


How AI is quietly transforming simulation

Is AI really useful, or is it just a passing trend? Balavignesh Vemparala, an R&D Engineer II at ANSYS, lays out a compelling case for how artificial intelligence is already hard at work in the simulation world with real results for users. From faster solves to accelerated workflows, improved quality and traceability, generative models, and more, discover what you might be overlooking when it comes to real-world AI application. Worth the read.
Read this informative ANSYS blog.


Experiment shows magnetic chips could dramatically increase computing's energy efficiency

In a breakthrough for energy-efficient computing, engineers at the University of California, Berkeley, have shown for the first time that magnetic chips can operate with the lowest fundamental level of energy dissipation possible under the laws of thermodynamics.

The findings, published Friday, March 11, 2016, in the peer-reviewed journal Science Advances, mean that dramatic reductions in power consumption are possible -- as much as one-millionth the amount of energy per operation used by transistors in modern computers.

Magnetic microscope image of three nanomagnetic computer bits. Each bit is a tiny bar magnet only 90 nanometers long. The microscope shows a bright spot at the "north" end and a dark spot at the "south" end of the magnet. The "H" arrow shows the direction of magnetic field applied to switch the direction of the magnets. [Image by Jeongmin Hong and Jeffrey Bokor]

 

 

 

 

This is critical for mobile devices, which demand powerful processors that can run for a day or more on small, lightweight batteries. On a larger, industrial scale, as computing increasingly moves into the cloud, the electricity demands of the giant cloud data centers are multiplying, collectively taking an increasing share of the country's -- and world's -- electrical grid.

"We wanted to know how small we could shrink the amount of energy needed for computing," said senior author Jeffrey Bokor, a UC Berkeley professor of electrical engineering and computer sciences and a faculty scientist at the Lawrence Berkeley National Laboratory. "The biggest challenge in designing computers and, in fact, all our electronics today is reducing their energy consumption."

Lowering energy use is a relatively recent shift in focus in chip manufacturing after decades of emphasis on packing greater numbers of increasingly tiny and faster transistors onto chips.

"Making transistors go faster was requiring too much energy," said Bokor, who is also the deputy director the Center for Energy Efficient Electronics Science, a Science and Technology Center at UC Berkeley funded by the National Science Foundation. "The chips were getting so hot they'd just melt."

Researchers have been turning to alternatives to conventional transistors, which currently rely upon the movement of electrons to switch between 0s and 1s. Partly because of electrical resistance, it takes a fair amount of energy to ensure that the signal between the two states is clear and reliably distinguishable, and this results in excess heat.

Magnetic computing
Magnetic computing emerged as a promising candidate because the magnetic bits can be differentiated by direction, and it takes just as much energy to get the magnet to point left as it does to point right.

"These are two equal energy states, so we don't throw energy away creating a high and low energy," said Bokor.

Bokor teamed up with UC Berkeley postdoctoral researcher Jeongmin Hong, UC Berkeley graduate student Brian Lambson, and Scott Dhuey at the Berkeley Lab's Molecular Foundry, where the nanomagnets used in the study were fabricated.

They experimentally tested and confirmed the Landauer limit, named after IBM Research Lab's Rolf Landauer, who in 1961 found that in any computer, each single-bit operation must expend an absolute minimum amount of energy.

Landauer's discovery is based on the second law of thermodynamics, which states that as any physical system is transformed, going from a state of higher concentration to lower concentration, it gets increasingly disordered. That loss of order is called entropy, and it comes off as waste heat.

Landauer developed a formula to calculate this lowest limit of energy required for a computer operation. The result depends on the temperature of the computer; at room temperature, the limit amounts to about 3 zeptojoules, or one-hundredth the energy given up by a single atom when it emits one photon of light.

The UC Berkeley team used an innovative technique to measure the tiny amount of energy dissipation that resulted when they flipped a nanomagnetic bit. The researchers used a laser probe to carefully follow the direction that the magnet was pointing as an external magnetic field was used to rotate the magnet from "up" to "down" or vice versa.

They determined that it only took 15 millielectron volts of energy -- the equivalent of 3 zeptojoules - to flip a magnetic bit at room temperature, effectively demonstrating the Landauer limit.

This is the first time that a practical memory bit could be manipulated and observed under conditions that would allow the Landauer limit to be reached, the authors said. Bokor and his team published a paper in 2011 that said this could theoretically be done, but it had not been demonstrated until now.

While this paper is a proof of principle, he noted that putting such chips into practical production will take more time. But the authors noted in the paper that "the significance of this result is that today's computers are far from the fundamental limit and that future dramatic reductions in power consumption are possible."

The National Science Foundation and the U.S. Department of Energy supported this research.

Published March 2016

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