Diffraction by conductors with sharp edges

Abstract CYCLOPS M4 is a deep-hardening steel that was developed to utilize the excellent abrasion resistance that results from higher-than-normal carbon and vanadium contents in the molybdenum-tungsten family of high-speed steels. It is recommended for heavy-duty cutting operations and for sharp edges for fine cuts. Cyclops M4 should always be used at or near maximum hardness. This datasheet provides information on composition, physical properties, hardness, and elasticity. It also includes information on high temperature performance as well as forming, heat treating, machining, and joining. Filing Code: TS-335. Producer or source: Cyclops Corporation.

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Mixing intensification using sound-driven micromixer with sharp edges

Chemical Engineering Journal ◽

10.1016/j.cej.2020.128252 ◽

2021 ◽

Vol 410 ◽

pp. 128252

Author(s):

Chuanyu Zhang ◽

Philippe Brunet ◽

Laurent Royon ◽

Xiaofeng Guo

Keyword(s):

Sharp Edges ◽

Mixing Intensification

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3D Mesh Pre-processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics

Remote Sensing ◽

10.3390/rs13112145 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2145

Author(s):

Yawen Liu ◽

Bingxuan Guo ◽

Xiongwu Xiao ◽

Wei Qiu

Keyword(s):

Real Data ◽

Geometric Constraints ◽

Feature Point ◽

Feature Points ◽

Denoising Method ◽

3D Mesh ◽

Mesh Denoising ◽

Scene Structure ◽

Sharp Edges ◽

Update Strategy

3D mesh denoising plays an important role in 3D model pre-processing and repair. A fundamental challenge in the mesh denoising process is to accurately extract features from the noise and to preserve and restore the scene structure features of the model. In this paper, we propose a novel feature-preserving mesh denoising method, which was based on robust guidance normal estimation, accurate feature point extraction and an anisotropic vertex denoising strategy. The methodology of the proposed approach is as follows: (1) The dual weight function that takes into account the angle characteristics is used to estimate the guidance normals of the surface, which improved the reliability of the joint bilateral filtering algorithm and avoids losing the corner structures; (2) The filtered facet normal is used to classify the feature points based on the normal voting tensor (NVT) method, which raised the accuracy and integrity of feature classification for the noisy model; (3) The anisotropic vertex update strategy is used in triangular mesh denoising: updating the non-feature points with isotropic neighborhood normals, which effectively suppressed the sharp edges from being smoothed; updating the feature points based on local geometric constraints, which preserved and restored the features while avoided sharp pseudo features. The detailed quantitative and qualitative analyses conducted on synthetic and real data show that our method can remove the noise of various mesh models and retain or restore the edge and corner features of the model without generating pseudo features.

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Plasma–surface interaction at sharp edges and corners during ion-assisted physical vapor deposition. Part II: Enhancement of the edge-related effects at sharp corners

Journal of Applied Physics ◽

10.1063/1.1597756 ◽

2003 ◽

Vol 94 (5) ◽

pp. 2837-2844 ◽

Cited By ~ 10

Author(s):

E. B. Macak ◽

W.-D. Münz ◽

J. M. Rodenburg

Keyword(s):

Vapor Deposition ◽

Physical Vapor Deposition ◽

Surface Interaction ◽

Plasma Surface ◽

Sharp Edges ◽

Sharp Corners

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Effects on Test Performance of Test Apparatus Boards Made of Different Material

Perceptual and Motor Skills ◽

10.2466/pms.1971.32.3.916 ◽

1971 ◽

Vol 32 (3) ◽

pp. 916-918

Author(s):

Richard D. Primmer ◽

Robert M. Tipton

Keyword(s):

Test Performance ◽

Test Battery ◽

Test Apparatus ◽

Sharp Edges ◽

Better Than

S s were administered Parts 9 and 10 of the GATB routinely as part of the test battery. 111 Ss used plastic apparatus boards and plastic pegs, while 128 used wooden apparatus boards and wooden pegs. Ss using wooden boards performed significantly better than Ss using plastic boards. Differences in performance were attributed to coarser texture of wooden pegs, heavier, more stable wooden boards, and a slight wearing at the edges of the wooden pegs and holes in contrast to the sharp edges on the plastic pegs.

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