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Archive | 2016

Design of Experiments—Statistical and Artificial Intelligence Analysis for the Improvement of Machining Processes: A Review

Carlos Henrique Lauro; Robson Bruno Dutra Pereira; Lincoln Cardoso Brandão; João Paulo Davim

The modern industry needs that its manufacture process to be fast, efficient, low cost, ecologic, and other. It occurs because many consumers require that the products have great quality and a fair price. Furthermore, in sometimes, the industry has the sale price imposes by client. Thus, the industry develops news techniques, process, tools, and other to attain this goal. However, these new developments require great studies to obtain the best condition and avoid that become more a waste. The Statistical or Artificial Intelligence (AI) Analysis are great ways to understand the new developments and obtain the best conditions. This review chapter presents the techniques (Statistical and AI) that were applied to plan and analyse the machining processes. Aim of this chapter is to argue the planning and analysis importance in researches, as well as help researchers to choose a technique and define their machining experiments, optimising the time, material and other means.


International Journal of Machine Tools & Manufacture | 2017

A review of helical milling process

Robson Bruno Dutra Pereira; Lincoln Cardoso Brandão; Anderson Paulo de Paiva; João Roberto Ferreira; J. Paulo Davim


Journal of Cleaner Production | 2017

Multi-objective robust optimization of the sustainable helical milling process of the aluminum alloy Al 7075 using the augmented-enhanced normalized normal constraint method

Robson Bruno Dutra Pereira; Rodrigo Reis Leite; Aline Cunha Alvim; Anderson Paulo de Paiva; João Roberto Ferreira; J. Paulo Davim


Measurement | 2016

Combining Scott-Knott and GR&R methods to identify special causes of variation

Robson Bruno Dutra Pereira; Rogério Santana Peruchi; Anderson Paulo de Paiva; Sebastião Carlos da Costa; João Roberto Ferreira


The International Journal of Advanced Manufacturing Technology | 2016

Multivariate global index and multivariate mean square error optimization of AISI 1045 end milling

Robson Bruno Dutra Pereira; Carlos Andrés Arango Hincapie; Paulo Henrique da Silva Campos; Anderson Paulo de Paiva; João Roberto Ferreira


The International Journal of Advanced Manufacturing Technology | 2018

Robust modeling and optimization of borehole enlarging by helical milling of aluminum alloy Al7075

Vanessa Flavianne Santana Rodrigues; João Roberto Ferreira; Anderson Paulo de Paiva; Luiz Gustavo Paes de Souza; Robson Bruno Dutra Pereira; Lincoln Cardoso Brandrão


The International Journal of Advanced Manufacturing Technology | 2018

Influence of cutting parameters on surface hardening of 52100 steel in flat grinding process

Marcelo Oliveira Gomes; Luiz Mauricio Gonçalves Neto; Robson Bruno Dutra Pereira; Carlos Henrique Lauro; Lincoln Cardoso Brandão


Anais do X Congresso Nacional de Engenharia Mecânica | 2018

ESTUDO GR&R DE MEDIÇÕES DE RUGOSIDADE DE FUROS OBTIDOS POR FRESAMENTO HELICOIDAL INTERPOLADO NO AÇO AISI H13 ENDURECIDO

Robson Bruno Dutra Pereira; Fernanda Oliveira; João Roberto Ferreira


Anais do X Congresso Nacional de Engenharia Mecânica | 2018

Análise do acabamento de peças com geometrias complexas usando metodologia de superfície de resposta

Kathlen Fazzion; Jessica Vieira; Waslley Coelho; Robson Bruno Dutra Pereira; Lincoln Cardoso Brandão


IX Congresso Nacional de Engenharia Mecânica | 2016

OTIMIZAÇÃO ROBUSTA BASEADA NO MÉTODO DE INTERSEÇÃO NORMAL À FRONTEIRA DA TAXA DE REMOÇÃO DE MATERIAL E CIRCULARIDADE TOTAL NO PROCESSO DE FRESAMENTO HELICOIDAL

Aline Cunha Alvim; Robson Bruno Dutra Pereira; João Roberto Ferreira; Anderson Paulo de Paiva; Frederico Ozanan Neves

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João Roberto Ferreira

Universidade Federal de Itajubá

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Anderson Paulo de Paiva

Universidade Federal de Itajubá

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Lincoln Cardoso Brandão

Universidade Federal de São João del-Rei

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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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