Dynamic surface roughness profiler

2012 ◽  
Author(s):  
Brad Kimbrough ◽  
Neal Brock ◽  
James Millerd
Keyword(s):  
Surface Roughness ◽  
Dynamic Surface

Dynamic surface roughness profiler

2011 ◽  
Author(s):  
Brad Kimbrough ◽  
Neal Brock ◽  
James Millerd
Keyword(s):  
Surface Roughness ◽  
Dynamic Surface

Research on Surface Roughness in High Speed Face Milling Part 2: Experimental Validation of Prediction Model

2014 ◽  
Vol 800-801 ◽  
pp. 619-624
Author(s):  
Lu Ning Liu ◽  
Zhen Yu Shi ◽  
Zhan Qiang Liu ◽  
Yan Fang Wang
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Prediction Model ◽  
High Speed ◽  
Experimental Validation ◽  
Dynamic Models ◽  
Face Milling ◽  
Work Piece ◽  
Dynamic Surface ◽  
Surface Contour

The paper presents rigorous experimental validation results of the algorithm to predict work-piece surface roughness in face milling operation as developed in the Part 1. The experimental verification system consisting of various devices was established according to the given experimental conditions. Experimental parameters are set for steady face milling. Experimental data are collected through four experiments. These experimental data include the axial and radial run-out errors of each square insert with flat edge, the modal parameters of the face milling system, the Z-axial milling force and the measured surface contour of the milled work-piece. The trajectory of cutting teeth is calculated by the MATLAB software based on the static surface roughness model. Z-axial dynamic relative displacement between the tooth and the work-piece is obtained as the predicted dynamic surface roughness. By integrating the prediction results of static and dynamic models, the surface contour is predicted. Predicted and measured results are compared in the same figure and basically consistent. The work-piece surface roughness prediction model will be useful and valid in high-speed face milling.

A dynamic surface roughness model for face milling

1997 ◽  
Vol 20 (3) ◽  
pp. 171-178 ◽  
Author(s):  
Dae Kyun Baek ◽  
Tae Jo Ko ◽  
Hee Sool Kim
Keyword(s):  
Surface Roughness ◽  
Face Milling ◽  
Dynamic Surface ◽  
Roughness Model

Roughness measurements of nonlinear optical polymer films by scanning tunneling microscopy

1989 ◽  
Vol 47 ◽  
pp. 22-23
Author(s):  
I. H. Musselman ◽  
R.-T. Chen ◽  
P. E. Russell
Keyword(s):  
Surface Roughness ◽  
Scanning Tunneling Microscopy ◽  
Nonlinear Optical ◽  
Polymer Surface ◽  
Light Extinction ◽  
Scanning Tunneling ◽  
Silicon Substrates ◽  
Tunneling Microscopy ◽  
Optical Polymer ◽  
Total Light

Scanning tunneling microscopy (STM) has been used to characterize the surface roughness of nonlinear optical (NLO) polymers. A review of STM of polymer surfaces is included in this volume. The NLO polymers are instrumental in the development of electrooptical waveguide devices, the most fundamental of which is the modulator. The most common modulator design is the Mach Zehnder interferometer, in which the input light is split into two legs and then recombined into a common output within the two dimensional waveguide. A π phase retardation, resulting in total light extinction at the output of the interferometer, can be achieved by changing the refractive index of one leg with respect to the other using the electrooptic effect. For best device performance, it is essential that the NLO polymer exhibit minimal surface roughness in order to reduce light scattering. Scanning tunneling microscopy, with its high lateral and vertical resolution, is capable of quantifying the NLO polymer surface roughness induced by processing. Results are presented below in which STM was used to measure the surface roughness of films produced by spin-coating NLO-active polymers onto silicon substrates.

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