Designfax weekly eMagazine

Subscribe Today!

Archives

View Archives

Partners

Manufacturing Center
Product Spotlight

Modern Applications News
Metalworking Ideas For
Today's Job Shops

Tooling and Production
Strategies for large
metalworking plants

High-capacity benchtop video measurement system

Optical Gaging Products has introduced the SmartScope^® E18, a compact, benchtop video measurement system. Featuring a 12" x 12" stage, IntelliCentric™-E fixed-lens optics, and VIRTUAL ZOOM™ technology, it offers fully automatic 3-axis performance without taking up floor space. Standard LED lighting, a rigid fixed-bridge design, optional touch probes, and advanced metrology software ensure accurate, repeatable inspection.
Learn more.

Tech Tip: Fan selection - Why airflow is not just CFM

For many engineers, fan selection starts and ends with a single number: CFM (cubic feet per minute). Higher CFM feels like a clear win. More air moved must mean better cooling. However, in practice, this assumption is one of the most common causes of thermal problems, excess noise, and late-stage redesigns. Find out why.
Read this Orion Fans technical article.

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.

The hidden hardware helping AI's heat problem: PCHEs

Across AI infrastructure, thermal constraints now connect semiconductor design with power and cooling systems. More compact, lighter, and efficient than conventional shell-and-tube models, printed circuit heat exchangers save floor space, reduce energy costs, and improve overall efficiency in dense, hyperscale environments.
Read the full article.

Nearly 1,000 parts: Industrial enclosure range expanded

Altech Corp. has expanded its industrial enclosure lineup to 10 unique series with nearly 1,000 parts! Designed for control, junction, and terminal applications, these plastic and aluminum housings offer up to IP69 protection. They mount directly to walls or panels, resisting chemicals, corrosion, flames, impacts, and severe outdoor conditions without sacrificing aesthetics.
Find your perfect enclosure today.

Cool Tools: MetraSCAN BLACK2 -- Next-gen shop-floor 3D inspection

You'll gain some superhero powers when you brandish FARO CREAFORM's new MetraSCAN BLACK2, a next-gen portable metrology-grade optical 3D scanner engineered to deliver total inspection flexibility on the shop floor. This unit boasts a 3-in-1 architecture that combines C-Track scanning, stand-alone scanning, and probing in a single metrology-grade system.
Read the full article.

Compact, touchless position sensors: Wear-free operation in tight spaces

Novotechnik's TFD-4000 Series of touchless linear position sensors delivers wear-free measurement in tight spaces. Featuring ranges up to 50 mm, IP67 protection, 12-bit resolution, and analog outputs, these reliable sensors operate from -40 C to 125 C across diverse industrial, mobile, and medical applications such as short-stroke linear valve positioning, solenoid valves, off-highway brake actuation, and more.
Learn more.

World's first 10-m safety laser scanner: See farther, protect more

Datasensing, Datalogic's Sensor & Safety and Machine Vision business unit, has launched the SLS10 Safety Laser Scanner, the world's first 10-meter safety laser scanner. Delivering a 275-degree scanning angle, 240-m² of coverage, and an 84-msec response time, the SLS10 protects larger workspaces with fewer devices. It features best-in-class angular resolution for precise AGV navigation, SIL-2/PLd compliance, dust immunity, and the new ONEGUI platform for simplified configuration.
Learn more and see it in action.

Accelerate AI-driven machine vision systems

BitFlow has announced full production of its Claxon CXP-12 frame grabbers, designed for NVIDIA GPU-accelerated machine vision. Across five models, the CoaXPress 2.0 lineup delivers up to 50 Gbps -- five times 10 GigE Vision -- eliminating data bottlenecks. The full CXP-12 specification ensures deterministic, high-bandwidth streaming to unleash modern AI inference models.
Learn more.

Millimeter-wave imaging inspection in real time

With its new quality and inspection R&S IMAGER millimeter-wave scanner, Rohde & Schwarz aims to simplify the industrial inspection of packaged products. The system sees through common packaging materials at production speed without using X-rays, protecting both products and operators. The high-contrast 3D images are used as digital twins and can be automatically integrated into AI-powered fault-detection systems. Sees through plastics, cardboard, and composites. Applications include food and beverage, pharmaceuticals, logistics.
Learn more.

What are single-loop process controllers?

PLCs are powerful, but complex control isn't always necessary. For standalone processes requiring single-variable monitoring -- like temperature, pressure, or flow -- a single-loop controller is ideal. See how single-loop controllers can streamline your next project.
Read the AutomationDirect tech tip.

Great Resources: Flexible circuit design guide

Tech-Etch uses advanced techniques to manufacture flex and rigid-flex circuits to exacting customer specs. Special processes include selective plating a single circuit with two different finishes, contoured circuits with variable metal thickness, semi-additive and subtractive techniques, open window or cantilevered contact leads, plus SMT for component assembly. Tech-Etch specializes in flexible circuits for medical, telecommunications, aerospace, semiconductor, and other high-reliability electronic applications.
Learn about flex circuits and get the guide (no registration required).

EMI Investigations: New immunity development system

Saelig Company announces the Langer E1 Immunity Development System for EMI investigations. This compact, affordable kit simulates burst and ESD interference to pinpoint layout weak spots down to IC pins. By eliminating "black box" guesswork early in development, engineers can efficiently identify coupling mechanisms, test measures, and resolve immunity issues before compliance failure.
Learn more and see it in action.

Battery packs for unmanned aerial vehicles

Re:Build Manufacturing has launched U.S.-assembled, NDAA-compliant lithium-ion battery packs for commercial, public safety, and defense UAV applications. Available in Core, Power, and Performance series, the packs use non-FEOC cells and are produced at Re:Build's advanced facility in New Kensington, PA. Re:Build also offers custom pack and battery management system development.
Learn more.

Easy-to-use precision measurement system

Optical Gaging Products has announced the StarLite S1, a compact, semi-automatic 3-axis video measurement system. It combines fully automatic video measurements with manual stage motion and features an IntelliCentric-S optical system for high-resolution images. Powered by Measure-X software, this system delivers fast, repeatable, high-accuracy results, making it ideal for both shop-floor and quality-control applications.
Learn more.

Caltech says traditional computers can solve some quantum problems

There has been a lot of buzz about quantum computers and for good reason. The futuristic computers are designed to mimic what happens in nature at microscopic scales -- yielding the power to better understand the quantum realm and speed up the discovery of new materials, including pharmaceuticals, environmentally friendly chemicals, and more. However, experts say viable quantum computers are still a decade away or more. What are researchers to do in the meantime?

A new California Institute of Technology (Caltech) study in the journal Science describes how machine learning tools, run on classical computers, can be used to make predictions about quantum systems and thus help researchers solve some of the trickiest physics and chemistry problems. While this notion has been shown experimentally before, the new report is the first to mathematically prove that the method works.

"Quantum computers are ideal for many types of physics and materials science problems," says lead author Hsin-Yuan (Robert) Huang, a graduate student working with John Preskill, the Richard P. Feynman Professor of Theoretical Physics and the Allen V. C. Davis and Lenabelle Davis Leadership Chair of the Institute for Quantum Science and Technology (IQIM). "But we aren't quite there yet and have been surprised to learn that classical machine learning methods can be used in the meantime. Ultimately, this paper is about showing what humans can learn about the physical world."

At microscopic levels, the physical world becomes an incredibly complex place ruled by the laws of quantum physics. In this realm, particles can exist in a superposition of states, or in two states at once. Superposition of states can lead to entanglement, a phenomenon in which particles are linked, or correlated, without even being in contact with each other. These strange states and connections, which are widespread within natural and human-made materials, are very hard to describe mathematically.

"Predicting the low-energy state of a material is very hard," says Huang. "There are huge numbers of atoms, and they are superimposed and entangled. You can't write down an equation to describe it all."

The new study is the first mathematical demonstration that classical machine learning can be used to bridge the gap between us and the quantum world. Machine learning is a type of computer application that mimics the human brain to learn from data.

"We are classical beings living in a quantum world," says Preskill. "Our brains and our computers are classical, and this limits our ability to interact with and understand the quantum reality."

While previous studies have shown that machine learning applications have the ability to solve some quantum problems, these methods typically operate in ways that make it difficult for researchers to learn how the machines arrived at their solutions. "Normally, when it comes to machine learning, you don't know how the machine solved the problem. It's a black box," says Huang. "But now we've essentially figured out what's happening in the box through our numerical simulations. "Huang and his colleagues did extensive numerical simulations in collaboration with the AWS Center for Quantum Computing at Caltech, which corroborated their theoretical results.

The new study will help scientists better understand and classify complex and exotic phases of quantum matter.

"The worry was that people creating new quantum states in the lab might not be able to understand them," Preskill explains. "But now we can obtain reasonable classical data to explain what's going on. The classical machines don't just give us an answer like an oracle but guide us toward a deeper understanding."

Co-author Victor V. Albert, a NIST (National Institute of Standards and Technology) physicist and former DuBridge Prize Postdoctoral Scholar at Caltech, agrees. "The part that excites me most about this work is that we are now closer to a tool that helps you understand the underlying phase of a quantum state without requiring you to know very much about that state in advance."

Ultimately, of course, future quantum-based machine learning tools will outperform classical methods, the scientists say. In a related study appearing June 10, 2022, in Science, Huang, Preskill, and their collaborators report using Google's Sycamore processor, a rudimentary quantum computer, to demonstrate that quantum machine learning is superior to classical approaches. "We are still at the very beginning of this field," says Huang. "But we do know that quantum machine learning will eventually be the most efficient."

The Science study, titled "Provably efficient machine learning for quantum many-body problems," was funded by the J. Yang & Family Foundation, the Department of Energy, and the National Science Foundation (NSF).

Source: California Institute of Technology (Caltech)

Published October 2022

Rate this article