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Dive into the research topics where Tarcísio Gonçalves Brito is active.

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Featured researches published by Tarcísio Gonçalves Brito.


Data in Brief | 2016

Experimental Design and Data collection of a finishing end milling operation of AISI 1045 steel

Luiz Gustavo Dias Lopes; Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; Rogério Santana Peruchi; Pedro Paulo Balestrassi

In this Data in Brief paper, a central composite experimental design was planned to collect the surface roughness of an end milling operation of AISI 1045 steel. The surface roughness values are supposed to suffer some kind of variation due to the action of several factors. The main objective here was to present a multivariate experimental design and data collection including control factors, noise factors, and two correlated responses, capable of achieving a reduced surface roughness with minimal variance. Lopes et al. (2016) [1], for example, explores the influence of noise factors on the process performance.


Congresso Brasileiro de Engenharia de Fabricação | 2017

STUDY OF THE INFLUENCE OF CUTTING FLUID AMOUNT IN STEEL TURNING OF AISI 52100

Ítalo de Abreu Gonçalves; Leonardo Leite; Carlos Henrique Oliveira; Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; João Roberto Ferreira

Http://www.ijetmr.com©International Journal of Engineering Technologies and Management Research [49] STUDY OF THE INFLUENCE OF CUTTING FLUID AMOUNT IN STEEL TURNING OF AISI 52100 Ítalo de Abreu Gonçalves , Leonardo G. Leite , Tarcísio G. de Brito , Emerson J. de Paiva , Carlos H. de Oliveira , Jean Carlos C. Pereira *1 *1 Academic Unit of Engineering of Itabira, Federal University of Itajubá, Brazil Abstract: The steel turning AISI 52100 has been gaining prominence in industry in recent years, as it allows machined parts to have better quality without the need for furthers processes. However, to ensure the final product quality, it is important that the turning for machining procedure is well planned and prepared, so that the cutting tools have their wear minimized in the process, while putting good productivity rates and zero occurrences of reworked parts. Thus, this article will study the quality of the machined surface in the turning process using interchangeable PCBN inserts. The aim is to identify the optimal combination of the input parameters that are cutting speed (Vc), feed (f) and machining depth (ap). The response measured is the roughness parameter Ra, under the influence of cutting fluid and tool wear.


Brazilian Technology Symposium | 2017

Conception of an Electric Vehicle’s Robotic Platform Developed for Applications on CTS

Willian Gomes de Almeida; Juliano de Almeida Monte-Mor; Rafael Francisco dos Santos; Eben-Ezer Prates da Silveira; Sandro C. Izidoro; Tarcísio Gonçalves Brito; Natália Cosse Batista; Giovani Bernardes Vitor

Significant efforts have been made in last decades concerning intelligent systems, particularly in vehicular applications. Despite several solutions proposed for intelligent systems on the electrical vehicle platform, this work aims to demonstrate a novel approach for hardware and software interaction that allows the development of different modes of operation. Some capabilities include cooperative mode to fully autonomous mode and vice versa. Furthermore, this proposed embedded system provides the basis for higher module integration from different levels of application. The proposed work reports real experiments carried out in a local urban environment using a medium electric vehicle platform which includes an embedded system with some embedded sensors to illustrate the validity of such platform in the context of the Cybernetic Transportation System (CTS).


Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology | 2014

A normal boundary intersection approach to multiresponse robust optimization of the surface roughness in end milling process with combined arrays

Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; João Roberto Ferreira; José Henrique Freitas Gomes; Pedro Paulo Balestrassi


Journal of Cleaner Production | 2016

A normal boundary intersection with multivariate mean square error approach for dry end milling process optimization of the AISI 1045 steel

Danielle Martins Duarte Costa; Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; Rafael C. Leme; Pedro Paulo Balestrassi


Computers & Industrial Engineering | 2016

Robust parameter optimization based on multivariate normal boundary intersection

Luiz Gustavo Dias Lopes; Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; Rogério Santana Peruchi; Pedro Paulo Balestrassi


Journal of The Brazilian Society of Mechanical Sciences and Engineering | 2017

Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study

Danielle Martins Duarte Costa; Gabriela Belinato; Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; João Roberto Ferreira; Pedro Paulo Balestrassi


The International Journal of Advanced Manufacturing Technology | 2015

Optimization of AISI 1045 end milling using robust parameter design

Tarcísio Gonçalves Brito; Anderson Paulo de Paiva; T. I. Paula; D. N. Dalosto; João Roberto Ferreira; Pedro Paulo Balestrassi


Research, Society and Development | 2017

Dimensionamento e análises de sistemas energéticos para irrigação em fazendas no estado de Minas Gerais

Gabriel de Souza Freitas; João Vitor de Almeida Moraes Araújo; Rafael Balbino Cardoso; Rafael Emílio Lopes; Tarcísio Gonçalves Brito


Revista Científica e-Locução | 2015

UTILIZAÇÃO DO MÉTODO BOX- JENKINS (ARIMA) NA PREVISÃO DA RUGOSIDADE RA

Tarcísio Gonçalves Brito; Tiego Paulo dos Santos; Francisco Fabio de Souza

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Anderson Paulo de Paiva

Universidade Federal de Itajubá

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Pedro Paulo Balestrassi

Universidade Federal de Itajubá

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João Roberto Ferreira

Universidade Federal de Itajubá

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Rogério Santana Peruchi

Universidade Federal de Itajubá

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Sebastião Carlos da Costa

Universidade Federal de Itajubá

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Gabriel de Souza Freitas

Universidade Federal de Itajubá

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Giovani Bernardes Vitor

Universidade Federal de Itajubá

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