Method and apparatus for in-process sensing of manufacturing quality
Abstract
A method for determining the quality of an examined weld joint comprising the steps of providing acoustical data from the examined weld joint, and performing a neural network operation on the acoustical data determine the quality of the examined weld joint produced by a friction weld process. The neural network may be trained by the steps of providing acoustical data and observable data from at least one test weld joint, and training the neural network based on the acoustical data and observable data to form a trained neural network so that the trained neural network is capable of determining the quality of a examined weld joint based on acoustical data from the examined weld joint. In addition, an apparatus having a housing, acoustical sensors mounted therein, and means for mounting the housing on a friction weld device so that the acoustical sensors do not contact the weld joint. The apparatus may sample the acoustical data necessary for the neural network to determine the quality of a weld joint.
- Inventors:
-
- Santa Fe, NM
- Los Alamos, NM
- Issue Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 941094
- Patent Number(s):
- 6857553
- Application Number:
- 10/365,416
- Assignee:
- The United States of America as represented by the United States Department of Energy (Washington, DC)
- Patent Classifications (CPCs):
-
B - PERFORMING OPERATIONS B23 - MACHINE TOOLS B23K - SOLDERING OR UNSOLDERING
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- DOE Contract Number:
- W-7405-ENG-36
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Hartman, Daniel A, Dave, Vivek R, Cola, Mark J, and Carpenter, Robert W. Method and apparatus for in-process sensing of manufacturing quality. United States: N. p., 2005.
Web.
Hartman, Daniel A, Dave, Vivek R, Cola, Mark J, & Carpenter, Robert W. Method and apparatus for in-process sensing of manufacturing quality. United States.
Hartman, Daniel A, Dave, Vivek R, Cola, Mark J, and Carpenter, Robert W. Tue .
"Method and apparatus for in-process sensing of manufacturing quality". United States. https://www.osti.gov/servlets/purl/941094.
@article{osti_941094,
title = {Method and apparatus for in-process sensing of manufacturing quality},
author = {Hartman, Daniel A and Dave, Vivek R and Cola, Mark J and Carpenter, Robert W},
abstractNote = {A method for determining the quality of an examined weld joint comprising the steps of providing acoustical data from the examined weld joint, and performing a neural network operation on the acoustical data determine the quality of the examined weld joint produced by a friction weld process. The neural network may be trained by the steps of providing acoustical data and observable data from at least one test weld joint, and training the neural network based on the acoustical data and observable data to form a trained neural network so that the trained neural network is capable of determining the quality of a examined weld joint based on acoustical data from the examined weld joint. In addition, an apparatus having a housing, acoustical sensors mounted therein, and means for mounting the housing on a friction weld device so that the acoustical sensors do not contact the weld joint. The apparatus may sample the acoustical data necessary for the neural network to determine the quality of a weld joint.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 22 00:00:00 EST 2005},
month = {Tue Feb 22 00:00:00 EST 2005}
}