Banca de QUALIFICAÇÃO: RICARDO HALLA II

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : RICARDO HALLA II
DATE: 07/02/2020
TIME: 10:00
LOCAL: Auditório do LABMAN - NTI/UFRN
TITLE:

USE OF ARTIFICIAL NEURONAL NETWORK FOR DETERMINING THE SPATIAL DISTRIBUTUION OF GLOSSINESS ON THE SURFACE OF PORCELAIN STONEWARE TILES

KEY WORDS:

artificial neuronal network, polishing, porcelain floor tiles, glossiness, simulation

PAGES: 63
BIG AREA: Engenharias
AREA: Engenharia Mecânica
SUMMARY:

Porcelain tile represents the best product ever developed within the class of ceramic tiles, due to its excellent tribo-mechanical properties and its aesthetic aspect, where glossiness is a fundamental criterion for product quality control, due to its great appreciation by customers. The process of glossiness gain of porcelain tile consists of the rotation of abrasive blocks in contact with the surface of the tile, eliminating irregularities and adding value to the product by assigning the desired glossy effect. However, the study and optimization of this process, in order to obtain an ideal gloss value and a better glossiness distribution, require a very complex analytical model with many variables, making this investigation a complicated task. In addition, a common practice in the industry is to adjust the polishing process by trial and error. A promising alternative  is the use of artificial neural networks model, due to its great ability to treat nonlinear problems and with lots of variables, intrinsic characteristics to the polishing process. Therefore, the goal of this work is to implement an artificial neural network, using Python language, that can provide the glossiness distribution of a porcelain tiles’ polishing line based on the operational parameters. The validation of this tool will be performed by comparing the gloss results from  the neural network and from laboratory polished samples. The purpose of developing this tool is to verify the potential of this model for possible applications both in the field of research and in the industrial sector.

BANKING MEMBERS:
Presidente - 2266607 - FABIO JOSE PINHEIRO SOUSA
Interno - 1445637 - WALLACE MOREIRA BESSA
Externo ao Programa - 1943220 - ORIVALDO VIEIRA DE SANTANA JUNIOR