NondestructiveApproachforDetermination of Steel MechanicalProperties
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2015, Vol 14, Issue 9
Abstract
It was proposed the design of an artificial neural network (ANN) to estimate the yield strength in the welding zone of HSLA experimental steels. The input parameters of the ANN were the chemical composition and hardness. The information needed to training and testing the ANN was obtained by searching the literature of the yield strength as a function of the input parameters. The design was of the type perceptron multilayer with a rule learning of backpropagation type and sigmoidal transfer function, varying the number of nodes in the hidden layer. It was determined that the design of the ANN with 11 nodes is able to estimate the yield strength of high strength low alloy steels and ultra-high strength steels according to their chemical composition and hardness.
Authors and Affiliations
EDGAR LOPEZ MARTINEZ, JazmÃn Y. Juárez-Chávez, S. Serna, B. Campillo
Keywords
Related Articles
- EP ID EP650698
- DOI 10.24297/ijct.v14i9.7078
- Views 72
- Downloads 0
Biometric application and classification of individuals using postural parameters
This Biometrics refers to automatic recognition of individuals based on their physiological and/or behavioral characteristics. The displacement of the centre of pressure (COP) is a measure that has been successfully empl...
Providing Security in Data Aggregation using RSA algorithm
The RSA algorithm proposed by Rivest, Adi Shamir and Leonard Adleman is cryptography technique. The current problem with wireless sensor network is how to protect the security of the sensor data. RSA algoritm is used a...
The Value Of Human Resource Information Systems In Human Resource Management
In today’s organizations Human Resource Management has become one of the key resources of business organizations. The need to integrate Human Resource Management (HRM) with information systems has become a necessity as...
Loop Structures Optimization and Reordering for Efficient Parallel Processing
The problem of choosing an optimal sequence of transformations, leading to the most efficient parallel version of a program remains an open question. Related to this, compilers of the moment only manage to incorporate a...
A Preview on Subspace Clustering of High Dimensional Data
When clustering high dimensional data, traditional clustering methods are found to be lacking since they consider all of the dimensions of the dataset in discovering clusters whereas only some of the dimensions are relev...