Use of Multiple Regression Analysis to Develop Predictive Models for Failure Times of Adhesive Bonds at Constant Stress. II. Aluminum Adherends.

Abstract

OF Multiple Regression Analysis to Develop Predictive Models for Failure Times of Adhesive Bonds at Constant Stress. II. Aluminum Adherends.Technical memo.,Jones,William C. ;McAbee,Elise ;Wegman,Raymond F. ;Levi,David W. ;PA-TM-2066Aee also report dated Dec 72, AD-754 526.(*bonded joints, reliability), (*aluminum, *bonding), mathematical prediction, life expectancy, stresses, failure(mechanics), adhesives, regression analysisaluminum alloy 2024, computer aided analysisA predictive model was developed for failure times of epoxy adhesive-bonded aluminum under a constant stress. The independent variables in the model were temperature, relative humidity, and stress. The coefficients of the model were computed by a multiple regression analysis. The model was shown to be a good predictor of failure times. The performance of a previously developed reaction rate model was also verified by regression techniques. (Author-PL)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1973
Accession Number
AD0758845

Entities

People

  • David W. Levi
  • Elise Mcabee
  • Raymond F. Wegman
  • William C. Jones

Organizations

  • Picatinny Arsenal

Tags

DTIC Thesaurus Topics

  • Adhesives
  • Aluminum
  • Bonded Joints
  • Coefficients
  • Computers
  • Data Science
  • Humidity
  • Information Science
  • Joints
  • Mechanics
  • Predictive Modeling
  • Regression Analysis
  • Reliability

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Surface Coatings Technology.