Magnetic Field Lines Made Visible in 3-D and Real Time
Scientists at the Fraunhofer Institute for Integrated Circuits IIS in Erlangen, Germany, have developed a high-resolution magnetic line camera to measure magnetic fields in real time. Field lines in magnetic systems such as generators or motors, which are invisible to the human eye, can be made visible using this camera. It is especially suitable for industrial applications, for example in quality assurance during the manufacture of magnets.
As Fraunhofer tells it, people encounter magnetic field sensors nearly everywhere today, but very few know it. Such sensors make sure washing machines run concentrically, that headlights automatically adjust to the correct angle if a vehicle is heavily loaded, or that occupants are warned if a seatbelt is not fastened correctly. If a mechanical movement is transformed into a rotation, the magnetic sensor detects this and passes the information to systems downstream—to the headlight sensors, for instance.
It is therefore important that magnets operate reliably. Quality assurance during fabrication has historically been expensive and time-consuming. The new line camera was designed to measure magnetic fields in real time and thus quickly detect defective magnets. It has become possible for the first time to integrate this kind of magnetic testing into industrial processes.
“Imagine the device not as a camera, but more as a flat plate with a row of magnetic field sensors,” said Project Manager Klaus-Dieter Taschka from IIS. The heart of the device is a 3-D Hall-effect sensor named HallinOne that was invented at IIS. “It enables a sensor chip to detect in all three axes any magnetic field present. These kinds of sensors can solve a range of measurement problems, such as rotation angle sensors, separation and positional sensors, and rpm sensors, for instance.”
Using the magnetic line camera, it is possible to measure the strength and direction of the magnetic field at 32 positions spaced 2.5 mm (0.1 in) apart. The field lines thus become visible along the line over a distance of 80 mm (3.15 in) and can be monitored and recorded. The actual 3-D sensor measures no more than 0.1 x 0.1 mm² (0.004 x 0.004 in²) in size. This permits point measurements and thus very high measurement accuracy.
The measuring procedure itself takes place in just a millisecond, so the camera provides 1000 images per second. This speed allows the magnetic camera to be built into production facilities and test magnets on a running conveyor belt.
The real-time aspect is also important, as the shape of the magnet as well as the magnetization direction influences the measurement values and must be taken into account during calibration of the system. At the conclusion of the measurement process, the system assigns the various magnetic shapes to the measurement results and calculates in the error tolerances. For simple applications, the camera can be connected through a USB interface to a PC.
Fraunhofer scientists say the next steps include developing a two-dimensional camera that can take magnetic color pictures of a 40 x 40 mm² (1.6 x 1.6 in²) surface – and at a speed of over 100 images per second.
Top Stories
INSIDERManufacturing & Prototyping
How Airbus is Using w-DED to 3D Print Larger Titanium Airplane Parts
NewsRF & Microwave Electronics
Microvision Aquires Luminar, Plans Relationship Restoration, Multi-industry Push
INSIDERAerospace
A Next Generation Helmet System for Navy Pilots
ArticlesManned Systems
Accelerating Down the Road to Autonomy
INSIDERWeapons Systems
New Raytheon and Lockheed Martin Agreements Expand Missile Defense Production
ArticlesAR/AI
CES 2026: Bosch is Ready to Bring AI to Your (Likely ICE-powered) Vehicle
Webcasts
Transportation
Advantages of Smart Power Distribution Unit Design for Automotive...
Unmanned Systems
Quiet, Please: NVH Improvement Opportunities in the Early Design...
Aerospace
Cooling a New Generation of Aerospace and Defense Embedded...
Energy
Battery Abuse Testing: Pushing to Failure
Automotive
A FREE Two-Day Event Dedicated to Connected Mobility



