Powder Clear Coat -- A Quantum Leap in Automotive Paint Technology

2000 ◽  
Author(s):  
Walter Wimmer
Keyword(s):  
Clear Coat ◽  
Automotive Paint ◽  
Quantum Leap

scholarly journals Search prefilters for mid-infrared absorbance spectra of clear coat automotive paint smears using stacked and linear classifiers

2014 ◽  
Vol 28 (5) ◽  
pp. 385-394 ◽  
Author(s):  
Barry K. Lavine ◽  
Ayuba Fasasi ◽  
Nikhil Mirjankar ◽  
Mark Sandercock ◽  
Steven D. Brown
Keyword(s):  
Clear Coat ◽  
Mid Infrared ◽  
Linear Classifiers ◽  
Automotive Paint ◽  
Absorbance Spectra

scholarly journals Library Search Prefilters for Vehicle Manufacturers to Assist in the Forensic Examination of Automotive Paints

2017 ◽  
Vol 72 (3) ◽  
pp. 476-488 ◽  
Author(s):  
Barry K. Lavine ◽  
Collin G. White ◽  
Tao Ding
Keyword(s):  
Pattern Recognition ◽  
Ir Spectra ◽  
General Motors ◽  
Discrete Wavelet ◽  
Vehicle Manufacturer ◽  
Clear Coat ◽  
Discrimination Power ◽  
Paint Systems ◽  
Automotive Paint ◽  
Spectral Libraries

Pattern recognition techniques have been applied to the infrared (IR) spectral libraries of the Paint Data Query (PDQ) database to differentiate between nonidentical but similar IR spectra of automotive paints. To tackle the problem of library searching, search prefilters were developed to identify the vehicle make from IR spectra of the clear coat, surfacer–primer, and e-coat layers. To develop these search prefilters with the appropriate degree of accuracy, IR spectra from the PDQ database were preprocessed using the discrete wavelet transform to enhance subtle but significant features in the IR spectral data. Wavelet coefficients characteristic of vehicle make were identified using a genetic algorithm for pattern recognition and feature selection. Search prefilters to identify automotive manufacturer through IR spectra obtained from a paint chip recovered at a crime scene were developed using 1596 original manufacturer’s paint systems spanning six makes (General Motors, Chrysler, Ford, Honda, Nissan, and Toyota) within a limited production year range (2000–2006). Search prefilters for vehicle manufacturer that were developed as part of this study were successfully validated using IR spectra obtained directly from the PDQ database. Information obtained from these search prefilters can serve to quantify the discrimination power of original automotive paint encountered in casework and further efforts to succinctly communicate trace evidential significance to the courts.

Discrimination of 1990s Original Automotive Paint Systems: A Collaborative Study of Black Nonmetallic Base Coat/Clear Coat Finishes Using Infrared Spectroscopy

2001 ◽  
Vol 46 (1) ◽  
pp. 14908J ◽  
Author(s):  
Scott Ryland ◽  
Gregory Bishea ◽  
Leanora Brun-Conti ◽  
Michael Eyring ◽  
Beth Flanagan ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Collaborative Study ◽  
Clear Coat ◽  
Paint Systems ◽  
Automotive Paint

A Quantum Leap for OR

1989 ◽  
Vol 40 (7) ◽  
pp. 693-697
Author(s):  
George W Tyler
Keyword(s):  
Quantum Leap

SIMULATION OF ELECTROSTATIC ROTARY BELL SPRAY PAINTING IN AUTOMOTIVE PAINT SHOPS

2013 ◽  
Vol 23 (1) ◽  
pp. 25-45 ◽  
Author(s):  
A. Mark ◽  
Bjorn Andersson ◽  
S. Tafuri ◽  
K. Engstrom ◽  
H. Sorod ◽  
...  
Keyword(s):  
Spray Painting ◽  
Automotive Paint

BiDrac Industry 4.0 framework: Application to an Automotive Paint Shop Process

2021 ◽  
Vol 109 ◽  
pp. 104757
Author(s):  
Elma Sanz ◽  
Joaquim Blesa ◽  
Vicenç Puig
Keyword(s):  
Industry 4.0 ◽  
Paint Shop ◽  
Automotive Paint

scholarly journals Enzymology takes a quantum leap forward

2000 ◽  
Vol 358 (1766) ◽  
pp. 367-386 ◽  
Author(s):  
Michael J. Sutcliffe ◽  
Nigel S. Scrutton
Keyword(s):  
Quantum Leap
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