Fringing Effect
Fringing Effect - Related Videos
11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Cited by 9 •
2013
This video describes the fundamentals of digital fringe projection techniques, which provide dense 3D measurements of dynamically changing surfaces. It also demonstrates the design and operation of a high-speed binary defocusing system based on these techniques.
11:44
Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
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2014
The robust device design of fringing-field electrostatic MEMS actuators results in inherently low squeeze-film damping conditions and long settling times when performing switching operations using conventional step biasing. Real-time switching time improvement with DC-dynamic waveforms reduces the settling time of fringing-field MEMS actuators when transitioning between up-to-down and down-to-up states.
06:56
Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes
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Cited by 7 •
2017
A sampling moiré technique featuring 2-pixel and multi-pixel sampling methods for high-accuracy strain distribution measurements at the micro/nano-scale is presented here.
08:41
Interference and Diffraction
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2023
Source: Yong P. Chen, PhD, Department of Physics & Astronomy, College of Science, Purdue University, West Lafayette, IN Interference and diffraction are characteristic phenomena of waves, ranging from water waves to electromagnetic waves such as light. Interference refers to the phenomenon of when two waves of the same kind overlap to give an alternating spatial variation of large and small wave amplitude. Diffraction refers to the phenomenon of when a wave passes through an aperture or...
11:52
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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2017
The segmentation clock drives oscillatory gene expression across the pre-somitic mesoderm (PSM). Dynamic Notch activity is key to this process. We use imaging and computational analyses to extract temporal dynamics from spatial expression data to demonstrate that Delta ligand and Notch receptor expression oscillate in the vertebrate PSM.
FAQs
At a conductor boundary, field lines cannot simply stop at the geometric edge, so they curve into the surrounding space. In a parallel-plate capacitor, this bends the field away from the uniform interior pattern and creates a transition region near each plate edge. The result is a field distribution that differs locally from the idealized, sharply confined calculation.
The strength of the deviation depends strongly on geometry, especially the relationship between plate dimensions and their separation. Edge regions become more consequential when components have small dimensions or closely spaced features, because a larger fraction of the field is influenced by boundaries. Consequently, calculations based only on the central, uniform region become less representative of the whole device.
When outward-curving lines contribute to the electric field outside the nominal plate overlap, they effectively enlarge the region participating in the capacitor’s field. This can make measured or practical capacitance greater than a simple parallel-plate estimate. The discrepancy is therefore not necessarily an experimental error; it can reflect boundary geometry omitted from the ideal model.
In magnetic components, edge spreading occurs where a magnetic core or other defined path ends. The field then extends beyond the region assumed by a simple geometric model, so the component’s actual field distribution may differ from the ideal one. Recognizing this behavior is important when designing transformers and other devices that rely on controlled magnetic fields.
To account for fringing during capacitor design, engineers must consider the plate boundaries rather than applying only the ideal interior-field calculation. The edge contribution can be treated as part of the device’s effective capacitance, allowing predicted behavior to better match the physical component. This consideration is especially relevant when dimensions are small or the spacing between features is limited.
When a measured value differs from the ideal prediction, examine whether field lines near boundaries were excluded from the calculation. In capacitors, the extra field associated with curved edge lines can contribute to the observed capacitance. Interpreting measurements this way helps distinguish a geometry-related deviation from a mistake in the experiment or arithmetic.
Modeling a component with fringing requires representing the physical edges and spacing, not just the ideal region between large, parallel surfaces. A useful comparison begins with the simple geometric prediction and then evaluates how boundary spreading changes the field and effective capacitance. This approach connects an ideal calculation to the behavior expected from a real device.
Beyond capacitors, the effect matters in sensors, transmission lines, magnetic cores, and transformers because these devices depend on fields occupying intended regions. Boundary spreading can alter how closely the real component follows its simplified design model. Including it during analysis supports more reliable interpretation and design, particularly for structures with small dimensions or closely spaced features.