Novel method for measuring and analyzing surface roughness on semiconductor laser etched facets

1991 ◽  
Vol 9 (6) ◽  
pp. 2778 ◽  
Author(s):  
Robert W. Herrick
Keyword(s):  
Surface Roughness ◽  
Semiconductor Laser ◽  
Novel Method

SURFACE ROUGHNESS STUDY ON MICROCHANNELS OF CO2 LASER FABRICATING PMMA-BASED MICROFLUIDIC CHIP

2017 ◽  
Vol 24 (02) ◽  
pp. 1750017 ◽  
Author(s):  
XUEYE CHEN ◽  
TIECHUAN LI ◽  
BAODING FU
Keyword(s):  
Surface Roughness ◽  
Laser Ablation ◽  
Laser Power ◽  
Sacrificial Layer ◽  
Ultrasonic Method ◽  
Solution Concentration ◽  
Microfluidic Chips ◽  
Power Laser ◽  
Best Value ◽  
Novel Method

A novel method named soak sacrificial layer ultrasonic method (SSLUM) has been presented for optimizing the surface roughness of the microchannels of polymethyl methacrylate (PMMA)-based microfluidic chips. CO2 laser was used for ablative microchannels on the PMMA sheet, and the effects of key parameters including laser power, laser ablation speed and solution concentration on the surface roughness of microchannels were estimated and optimized by SSLUM. The experimental observation demonstrates that the surface roughness results mainly from the residues on the channel wall, which are produced by the bubbles movement and bursting. The research results show that the surface roughness can be improved effectively by using SSLUM. In our experiment, the best value was Ra [Formula: see text] 110[Formula: see text]nm with laser power 12[Formula: see text]W, laser ablation speed 10[Formula: see text]mm/s, the solution concentration 75%, and the time of ultrasonic vibration 25[Formula: see text]min. SSLUM is proven to be an effective, simple and rapid method for optimizing the surface roughness of microchannels of microfluidic chips.

Experimental Study on the Shear Adhesion Strength Between the Ice and Substrate in Icing Wind Tunnel

2017 ◽  
Vol 34 (2) ◽  
pp. 209-216 ◽  
Author(s):  
C. X. Zhu ◽  
C. L. Zhu ◽  
W. W. Zhao ◽  
M. J. Tao
Keyword(s):  
Surface Roughness ◽  
Shear Stress ◽  
Wind Tunnel ◽  
Air Flow ◽  
Liquid Water Content ◽  
Stress Measurements ◽  
Simulated Environment ◽  
Experiment Method ◽  
Novel Method ◽  
Experimental Values

AbstractThe icing wind tunnel can simulate the air flow at a high altitude; such an air flow contains supercooled droplets moving at certain velocities. An integrated experiment method was proposed, and it included the icing test and shear stress measurements in the simulated environment of the icing wind tunnel. The error caused by the change in experimental environments was completely eliminated with this novel method. Thus, there was no discrepancy between the real-time and experimental values of shear stress between the ice and substrate. The experiments of icing and shear stress measurements are carried out by varying the following parameters: icing temperature, mean volume diameter (MVD) of droplets, and surface roughness of the substrate. The results indicate that the shear stress between the ice and the substrate increases with the decrease in temperature provided the temperature is relatively high. When the MVD value is 22 μm, the liquid water content is about 1 g/m3and surface roughness is 2 μm. Under these conditions, the shear stress reaches its maximum value at a temperature of –15°C. The shear stress is also affected by the MVD values of droplets, and the surface roughness of substrate.

Novel method for evaluating surface roughness by grey dynamic filtering

Measurement ◽  
2010 ◽  
Vol 43 (1) ◽  
pp. 78-82 ◽  
Author(s):  
Zhongyu Wang ◽  
Hao Meng ◽  
Jihua Fu
Keyword(s):  
Surface Roughness ◽  
Novel Method ◽  
Dynamic Filtering

Method to Measure Effects of Surface Roughness on High-frequency Transmission Lines

2013 ◽  
Vol 2013 (1) ◽  
pp. 000496-000499
Author(s):  
Toshiki Iwai ◽  
Daisuke Mizutani ◽  
Motoaki Tani
Keyword(s):  
Surface Roughness ◽  
Transmission Lines ◽  
Printed Circuit Boards ◽  
Skin Depth ◽  
Capacitive Coupling ◽  
Strip Line ◽  
Circuit Boards ◽  
Three Samples ◽  
Novel Method ◽  
Effect Of Surface

In recent years, the transmission losses induced by surface roughness of conductors in printed circuit boards (PCB) have become important from the standpoint of signal integrity. To clarify this effect, current measurement methods use a microstrip line or a strip line in the PCB, which is fabricated for different values of surface roughness. However, since errors are induced in each sample because of the presence of dispersion in the manufacturing process, it is difficult to extract the effect of surface roughness from the measured data. In this paper, we propose a novel method to measure the effect by means of using capacitive coupling in which the dispersion errors can be eliminated. The results have been verified using electromagnetic simulation. This method was performed on three samples having differing values of surface roughness. It was concluded that the transmission characteristics are influenced by surface roughness at higher frequencies when the skin depth becomes comparable to the surface roughness.

scholarly journals Robust surface segmentation and edge feature lines extraction from fractured fragments of relics

2015 ◽  
Vol 2 (2) ◽  
pp. 79-87 ◽  
Author(s):  
Jiangyong Xu ◽  
Mingquan Zhou ◽  
Zhongke Wu ◽  
Wuyang Shui ◽  
Sajid Ali
Keyword(s):  
Surface Roughness ◽  
Clustering Algorithm ◽  
Integral Invariant ◽  
Computer Assisted ◽  
Normal Vector ◽  
Edge Extraction ◽  
Feature Lines ◽  
Surface Segmentation ◽  
Novel Method ◽  
Edge Feature

Abstract Surface segmentation and edge feature lines extraction from fractured fragments of relics are essential steps for computer assisted restoration of fragmented relics. As these fragments were heavily eroded, it is a challenging work to segment surface and extract edge feature lines. This paper presents a novel method to segment surface and extract edge feature lines from triangular meshes of irregular fractured fragments. Firstly, a rough surface segmentation is accomplished by using a clustering algorithm based on the vertex normal vector. Secondly, in order to differentiate between original and fracture faces, a novel integral invariant is introduced to compute the surface roughness. Thirdly, an accurate surface segmentation is implemented by merging faces based on face normal vector and roughness. Finally, edge feature lines are extracted based on the surface segmentation. Some experiments are made and analyzed, and the results show that our method can achieve surface segmentation and edge extraction effectively.

Sign in / Sign up

Export Citation Format

Share Document