Computer Communication & Collaboration

ISSN:2292-1028 (Print) ISSN:2292-1036(Online)

Vol. 6, Issue 3(2018.8)

Editorial Board of CCC

Articles

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1. Genetic Approach to optimize bead dilution in Submerged Arc welding process[Download PDF]

Authors:

Edwin Raja Dhas J(Corresponding author), Satheesh M

Abstract:

Welding is one of the chief metal joining processes in fabricating industries. This paper concerns with the development of genetic algorithm model to optimize the quality of submerged arc welding process parameters of mild steels. In order to develop the proposed model data are collected using Taguchi’s design. Weld parameters are current, arc voltage, welding speed and electrode stickout with dilution as response. Signal-to-Noise ratio is computed based on performance characteristics of observed output. Significant contributions of the parameters are estimated using Analysis of Variance. Response surface equations are generated and the objective function is formed to minimize bead dilution. The developed Genetic Algorithm models determine the optimal weld-bead dilution and recommend the necessary process parameters for the same. Results are compared and reported. This scheme can be used in decision-making to select process parameters for a welding operator. The proposed and developed method has good competency enhancing robotization.

Keywords:

Process Parameters, Parameter optimization, Taguchi method, Genetic Algorithm

1. Interpolation-Based Metamodels [Download PDF]

Authors:

E. Jack Chen

Abstract:

A metamodel is a simplified mathematical description of a simulation model that represents the system’s input-output relationship with a function. In many situations, we may not need a single formula to describe the systems being simulated. This paper discusses interpolation-based metamodels, which are useful for providing simple estimates at non-design points to communicate the input-output relationship. The algorithm dynamically increases the sample size and the number of design points so that the estimates obtained via the metamodel satisfy the pre-specified precision. An experimental performance evaluation demonstrates the validity of interpolation-based metamodels.

Keywords:

Kriging Metamodels, Experimental Design, Metamodels, Interpolation Methods