March 19, 2024 | Volume 20 Issue 11 |
Manufacturing Center
Product Spotlight
Modern Applications News
Metalworking Ideas For
Today's Job Shops
Tooling and Production
Strategies for large
metalworking plants
SCHURTER has upgraded its 2-pole classic TA35 and TA36 thermal circuit breaker models with an additional, optional magnetic module. From now on, no additional fuse is required when using a thermal-magnetic type. Depending on the application, the magnetic modules are available either with a slow- or a fast-acting characteristic. Both models are designed for snap-in mounting and with finely graduated rated currents. A variety of colors and lighting options make the designer's choice easier.
Learn more.
The precision and reliability offered by modern rotary encoders are essential in many product categories. These include robotics, machine tools, printing presses, motion control systems, medical equipment, aerospace, gaming and entertainment, and automotive. Learn all about magnetic rotary encoders -- and important developments in the technology's future.
Read the full Avnet article.
OMNIVISION has expanded its TheiaCel™ product portfolio with a new OX12A10 12-MP high-res image sensor for automotive cameras. This sensor, with the highest resolution in its line, improves automotive safety by eliminating LED flicker regardless of lighting conditions. It is ideal for high-performance front machine vision cameras for advanced driver assistance systems (ADAS) and autonomous driving (AD).
Learn more.
Novotechnik's new RSK-3200 Series angle sensors are designed for harsh automotive and off-highway applications. Measurement range is 0 to 360 degrees, and the temperature range is -40 to 125 C. This unit's built-in coupling accepts D-Shaft, with shaft customization available. The sensors are sealed to IP 67 or IP 69k depending on version. RSK-3200 Series sensors are extremely durable with MTTF of 285 years for each of the two channels! Applications include throttle control and EGR valves, transmission gear position, and accelerator position. Very competitive pricing.
Learn more.
Signaling and indicator lights, switches, and buttons -- elements that hardly any machine can do without. The new JW Winco cabinet U-handle EN 6284 integrates all these functions into a single, compact element. The new U-handle is designed to enhance the operation of systems and machines. It features an integrated button and a large, colored, backlit area on the handle. These elements can be used individually or in combination, providing a versatile tool for system control and process monitoring that can be seen from across the room.
Learn more.
Offered in two benchtop and two floor-model options to handle nearly any size part, the SmartScope M-Series systems from Optical Gaging Products usher in the next generation of enhancements in image accuracy, optics, and throughput to the world's most popular 3D multisensor video measurement platform. SmartScope M-Series features fixed optics with a 20-megapixel camera and proprietary Virtual Zoom, combined with advanced sensors, illumination, and accessories, to achieve class-leading optical measurement speeds. Lots more features.
Learn more.
SOLIDWORKS Elite Applications Engineer Alin Vargatu demonstrates his top tips for focusing on your model: finding planes the easy way inside your assembly with the Q key, breadcrumbs, and a better way to use the component preview window. Very helpful. Lots more tips on the SOLIDWORKS YouTube channel.
View the video.
Nexperia's AEC-Q100 qualified, push-pull transformer drivers (NXF6501-Q100, NXF6505A-Q100, and NXF6505B-Q100) enable the design of small, low-noise, and low-EMI isolated power supplies for a range of automotive applications such as traction inverters and motor control, DC-DC converters, battery management systems, and on-board chargers in EVs. Also suitable for industrial applications such as telecommunications, medical, instrumentation, and automation equipment.
Learn more.
H. G. Schaevitz LLC, Alliance Sensors Group is now offering a miniature, lightweight LZ SERIES linear position sensor product line utilizing LVIT Technology™. These sensors are designed for tight spaces that require excellent stroke-to-length ratio. They are contactless devices for use by drones, OEMs, aerospace, robotics, factory automation, or assembly machinery applications where precision in position sensing is crucial.
Learn all the specs.
According to Parker Hannifin, "A Printed Circuit Heat Exchanger is a robust, corrosion-resistant, high-integrity plate-type heat exchanger manufactured using diffusion bonding." Learn about the technology and why Heatric, a Parker brand, "can manufacture a unit up to 85% smaller and lighter than traditional technologies such as shell and tube heat exchangers."
Read this informative Parker blog.
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 may learn something even if you don't use this software.
Read the Onshape blog.
Automation-Direct has added new high-quality and efficient stainless steel Seifert 340 BTU/H thermoelectric coolers with 120-V and 230-V power options. Thermoelectric coolers from Seifert use the Peltier Effect to create a temperature difference between the internal and ambient heat sinks, making internal air cooler while dissipating heat into the external environment. Fans assist the convective heat transfer from the heat sinks, which are optimized for maximum flow.
Learn more.
Raspberry Pi's Pico low-cost, high-performance microcontroller board with flexible digital interfaces is now being offered as a full second-generation product, complete with twice the on-board flash memory, higher performance, lower power consumption, and greater security.
Read the full article.
Linear Variable Differential Transformers are electro-mechanical devices used in many industrial applications to measure the displacement or position of an object. They convert the linear position or motion of a measured object into an electrical output that is displayed on a local readout or input into a programmable logic controller as part of an automated process control system. LVDTs come in two core configurations -- free-core and spring-loaded -- but do you know what the differences are?
Read the full NewTek Sensor Solutions article.
Condition monitoring expert CM Technologies has added a fuel injection acoustic emission sensor to its proprietary PREMET X range of two- and four-stroke diesel engine performance indicators for marine use. The device allows engineers to monitor the acoustic signature of a diesel engine's fuel injection system to detect any problems with fuel injectors, nozzles, and pumps.
Read the full article.
UMass Amherst research demonstrates that a memristor device can solve complex scientific problems using significantly less energy, overcoming one of the major hurdles of digital computing.
A team of researchers including University of Massachusetts Amherst (UMass Amherst) engineers has proven their analog computing device, called a memristor, can complete complex, scientific computing tasks while bypassing the limitations of digital computing.
An exemplar photograph of an integrated chip containing memristor crossbar arrays of various sizes made at UMass Amherst. [Credit: Image taken by Can Li and provided by Qiangfei Xia]
Many of today's important scientific questions, from nanoscale material modeling to large-scale climate science, can be explored using complex equations. However, today's digital computing systems are reaching their limit for performing these computations in terms of speed, energy consumption, and infrastructure.
Qiangfei Xia, UMass Amherst professor of electrical and computer engineering and one of the corresponding authors of the research published in Science, explains that, with current computing methods, every time you want to store information or give a computer a task, it requires moving data between memory and computing units. With complex tasks moving larger amounts of data, you essentially get a processing "traffic jam" of sorts.
One way traditional computing has aimed to solve this is by increasing bandwidth. Instead, Xia and his colleagues at UMass Amherst, the University of Southern California, and computing technology maker TetraMem have implemented in-memory computing with analog memristor technology as an alternative that can avoid these bottlenecks by reducing the number of data transfers.
The team's in-memory computing relies on an electrical component called a memristor -- a combination of memory and resistor. A memristor controls the flow of electrical current in a circuit, while also "remembering" the prior state, even when the power is turned off, unlike today's transistor-based computer chips, which can only hold information while there is power. The memristor device can be programmed into multiple resistance levels, increasing the information density in one cell.
When organized into a crossbar array, such a memristive circuit does analog computing by using physical laws in a massively parallel fashion, substantially accelerating matrix operation, the most frequently used -- but very power-hungry -- computation in neural networks. The computing is performed at the site of the device, rather than moving the data between memory and processing. Using the traffic analogy, Xia compares in-memory computing to the nearly empty roads seen at the height of the pandemic: "You eliminated traffic because [nearly] everybody worked from home," he says. "We work simultaneously, but we only send the important data/results out."
Previously, these researchers demonstrated their memristor can complete low-precision computing tasks such as machine learning. Other applications have included analog signal processing, radiofrequency sensing, and hardware security.
"In this work, we propose and demonstrate a new circuit architecture and programming protocol that can efficiently represent high-precision numbers using a weighted sum of multiple, relatively low-precision analog devices, such as memristors, with a greatly reduced overhead in circuitry, energy, and latency compared with existing quantization approaches," says Xia.
"The breakthrough for this particular paper is that we push the boundary further," Xia adds. "This technology is not only good for low-precision, neural network computing, but it can also be good for high-precision, scientific computing."
For the proof-of-principle demonstration, the memristor solved static and time-evolving partial differential equations, Navier-Stokes equations, and magnetohydrodynamics problems.
"We pushed ourselves out of our own comfort zone," Xia says, expanding beyond the low-precision requirements of edge computing neural networks to high-precision scientific computing.
It took over a decade for the UMass Amherst team and collaborators to design a proper memristor device and build sizable circuits and computer chips for analog in-memory computing.
"Our research in the past decade has made analog memristor a viable technology. It is time to move such a great technology into the semiconductor industry to benefit the broad AI [artificial intelligence] hardware community," Xia says.
Source: University of Massachusetts Amherst
Published March 2024