Author: Leda VillalobosPublisher:
ISBN:
Category :
Languages : en
Pages : 230
Book Description
Surface Roughness Estimation from Neural Net Processing of Laser Light Scattering
Author: Leda VillalobosApplications of Artificial Neural Networks
Author: Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 722
Book Description
Masters Theses in the Pure and Applied Sciences
Author: W. H. ShaferPublisher: Plenum Publishing Corporation
ISBN: 9780306443480
Category : Education
Languages : en
Pages : 392
Book Description
Masters Theses Listed by Discipline: Aerospace Engineering. Agricultural Economics, Sciences and Engineering. Architechtural Engineering and Urban Planning. Astronomy. Astrophysics. Ceramic Engineering. Communications Engineering and Computer Science. Cryogenic Engineering. Electrical Engineering. Engineering Mechanics. Engineering Physics. Engineering Science. Fuels, Combustion, and Air Pollution. General and Environmental Engineering. Geochemistry and Soil Science. Geological Sciences and Geophysical Engineering. Geology and Earth Science. Geophysics. Industrial Engineering. Marine and Ocean Engineering. Materials Science and Engineering. Mechanical Engineering and Bioengineering. Metallurgy. Meteorology and Atmospheric Science. 17 additional disciplines. Index.
Proceedings
Author: Optical Method and Neural Network for Surface Roughness Measurement and Surface Pattern Classification
Author: Zahide YilbasPublisher:
ISBN:
Category : Pattern recognition systems
Languages : en
Pages : 177
Book Description
Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation: Signal porocessing [sic] and systems control, intelligent sensors and instrumentation
![Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation: Signal porocessing [sic] and systems control, intelligent sensors and instrumentation PDF](https://books.google.com/books/content/images/frontcover/sShOAQAAIAAJ?fife=w80-h100)
Author: Fabrication of Complex Optical Components
Author: Ekkard BrinksmeierPublisher: Springer Science & Business Media
ISBN: 3642330010
Category : Technology & Engineering
Languages : en
Pages : 218
Book Description
High quality optical components for consumer products made of glass and plastic are mostly fabricated by replication. This highly developed production technology requires several consecutive, well-matched processing steps called a "process chain" covering all steps from mold design, advanced machining and coating of molds, up to the actual replication and final precision measurement of the quality of the optical components. Current market demands for leading edge optical applications require high precision and cost effective parts in large volumes. For meeting these demands it is necessary to develop high quality process chains and moreover, to crosslink all demands and interdependencies within these process chains. The Transregional Collaborative Research Center "Process chains for the replication of complex optical elements" at Bremen, Aachen and Stillwater worked extensively and thoroughly in this field from 2001 to 2012. This volume will present the latest scientific results for the complete process chain giving a profound insight into present-day high-tech production.
Online Surface Roughness Evaluation
Author: V. G. SridharPublisher: LAP Lambert Academic Publishing
ISBN: 9783659334351
Category :
Languages : en
Pages : 120
Book Description
Surface roughness of machined components has a significant influence on the service performance such as lubrication, friction, wear, fatigue, corrosion, adhesion in surface coating etc. Hence, inspection and control of the surface roughness of components are very important in manufacturing and metal cutting industries. Most of the surface roughness measuring instruments used in industries are contact type, off-line stylus instruments which are not adoptable for highly automated factory environment. The proposed method uses a machine vision technique and LED front lighting method as a substitute for evaluation of surface roughness measurements by stylus instrument.A light scattered pattern from the machined surface is captured and processed to obtain a characteristics feature of optical information viz. Ga (Grey Level value) which is further processed to evaluate the surface roughness value.A comparative study made on surface roughness values obtained by the traditional method and the Machine vision technique shows favorable results. The Machine Vision Techniques using Front Lighting is suitable for online non-contact method which can be adopted for automated inspection environment.
Author: 
Author: