THE USE OF TAGUCHI AND NEURAL NETWORKS FOR PROCESS PARAMETER OPTIMIZATION IN MICRO AIR JET MACHINING OF FRC FIBER REINFORCED CERAMICS COMPOSITES

Aishwarya Shekhar; Vineet Dahiya; Suresh M

THE USE OF TAGUCHI AND NEURAL NETWORKS FOR PROCESS PARAMETER OPTIMIZATION IN MICRO AIR JET MACHINING OF FRC FIBER REINFORCED CERAMICS COMPOSITES

Authors

Aishwarya Shekhar Sandip University (Sijoul)
Vineet Dahiya K.R. Mangalam University, Gurugram, Haryana, INDIA
Suresh M Sri Siddhartha Academy of Higher Education

Keywords:

Engineering, Neural Networks, Machining

Abstract

When compared to the properties of the individual components, the properties of a composite material, which is made up of more than two distinct materials that have significantly different physical and chemical properties, are entirely different. This is because a composite material is made up of more than two materials, each of which has its own unique set of properties. The usage of composite materials is ever-increasing as a direct result of the inherent properties of these materials, which include high levels of hardness and low weight. This trend may be directly attributed to the ever-increasing popularity of composite materials. After being combined with a wide variety of oxide constituents, the composite has significantly increased in strength. The method in which the reinforced components are disseminated throughout the matrix materials has an effect on the properties of the composites. In this experiment, an attempt was made to manufacture ceramic composite material by employing the process of powder metallurgy. The substance that served as the matrix was alumina with a particle size of 300 nm, and the material that served as the reinforcing was zirconium nfs with a particle size of 400 nm. The powdered forms of both of these substances were present. The presence of yttrium (Y2O3) phase in zirconium nfs powder enables the zirconium to keep its stability even when it is brought down to room temperature. Corundum is a kind of crystalline alumina that is quite hard, and it is the component that makes up alumina powder. In the current experiment, the composite being evaluated was created by adding 5, 10, and 15 percent by weight of ZrO2 nanofibers, which served as reinforcing material, to the matrix material. This combination was subjected to testing (Al2O3). When the specimens have been created in compliance with the specifications given by ASTM, X-ray diffraction is utilized to verify that the reinforcement particles are dispersed uniformly throughout the matrix material.

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THE USE OF TAGUCHI AND NEURAL NETWORKS FOR PROCESS PARAMETER OPTIMIZATION IN MICRO AIR JET MACHINING OF FRC FIBER REINFORCED CERAMICS COMPOSITES