By Topic

Reliability based design optimization of helical compression spring using probabilistic response surface methodology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Sastry, M.N.P. ; G. Pulla Reddy Eng. Coll., Kurnool, India ; Devi, K.D. ; Reddy, K.H. ; Reddy, K.M.
more authors

Mechanical component design by safety factors using nominal values without considering uncertainties may lead to designs that are unsafe, or too conservative and thus not efficient. Design of a helical compression spring is one of complex and time consuming design procedure. This paper presents development of mathematical models to predict the outer diameter of a typical helical spring. This paper presents unique method to investigate engineering problem, its analysis, mathematical modeling and optimization with the help of RSM-response surface methodology and design of experiments (DOE). Response surface methodology, which is a statistical approach of design of experiments, is being applied with combined probabilistic design to optimize the design responses in the case of simultaneous variations of its design parameters. The technique is proved to be efficient and general purpose modeling a variety of components.

Published in:

Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on

Date of Conference:

30-31 March 2012