The indented geometry for rockwell hardness indenter has been configured by using Confocal Laser Scanning Microscopy (CLSM). For this purpose, the CLSM can be well suited to construct the three-dimensional indented volume from the indented surface by rockwell hardness tester. Furthermore, the height data of HEI(height encoded image) by CLSM must be acquired at first and converted to indented surface later. And the indented surface patterns enable us to predict the indenter shape and volume. This volume can be used to study the rockwell hardness model as a volume parameter. As a result, the technique performed in this study by combining the CLSM with compensation technique is an excellent one to obtain the geometries of indented surfaces over a wide range of surface resolution in a micro scale. And it can be used for micro volume calculation. . 이 중 CLSM 는 z 축방향의 분해능이 RLIM 보다는 약간 떨어지나 타 방법과 비교하여 미크론 이하로 잘 표현 할 수 있고 샘플 준비에 수월하다는 장점이 있다. 더구나 CLSM 은 촉침의 접 촉이 필요하지 않는 비접촉 측정법으로 미세 마모면과 같은 아
The surface geometry of a workpiece after machining is a major concern in the industry. Thus, it is important to generate its geometry, reconfiguring and modifying it by a wavelet-based filtering technique with confocal laser scanning microscopy (CLSM). This technique is well-suited to construct the three-dimensional surface of a machined workpiece. The problem of noise on the surface always occurs when treating the raw height data (HEI: Height Encoded Image) acquired by CLSM. The noise occurs in constructing the surface height image (HEI) due to an electronic and photographic image process and must be filtered. In this paper, a wavelet-based filtering algorithm is used to eliminate noise in the shape features of the surface on a micro scale so as to realize an accurate geometry for further topographic analysis. The filtered surface patterns enable us to predict the machined surface and analyze surface characteristics in varied shapes of different levels. Also, to consider the tilting that inevitably occurs in mounting a specimen on the table, the surface is compensated and flattened in the x and y-directions simultaneously. This newly developed technique combines CLSM and wavelet filtering generates various micro machined surfaces over a wide range of surface resolutions on a micro scale
The TAx4 experiment is a project to observe highest energy cosmic rays by expanding the detection area of the Telescope Array (TA) experiment with newly constructed surface detectors (SDs) and fluorescence detectors (FDs). New SDs are arranged in a square grid with 2.08 km spacing at the north east and south east of the TA SD array. We use CORSIKA simulations and implement the calibration data of the new SDs to calculate the performance of the new SDs. We compare the data with the simulation and validate the performance of the SDs. The comparison and the performance will be shown in the presentation.
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