Banca de QUALIFICAÇÃO: FERNANDO FRANÇA ALMIRALL

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : FERNANDO FRANÇA ALMIRALL
DATE: 11/12/2023
TIME: 09:00
LOCAL: https://meet.google.com/xij-jkhr-oru
TITLE:

THE USE OF FAILURE PREDICTION TOOLS AS A BASIS IN THE DECISION SYSTEM EXPERIENCED IN THE 

ADDITIVE MANUFACTURING PROCESS

PAGES: 50
BIG AREA: Engenharias
AREA: Engenharia de Produção
SUBÁREA: Gerência de Produção
SPECIALTY: Planejamento, Projeto e Controle de Sistemas de Produção
SUMMARY:

Technological advances and the ever-changing world foster Industry 4.0, which brings innovation and new ways 

of producing. In this context, Additive Manufacturing, especially 3D printing through fusion and deposition 

modeling, becomes relevant in the search for waste reduction, flexibility and costs. Process managers envision a 

window of opportunity in the production chain, however it is necessary to know and control failure modes, low 

reliability, losses caused by errors and difficulty in operational controls. Applied descriptive and exploratory 

research aims to study some of the relevant failure modes, in particular the impacts of vibration and temperature

on 3D printing processes through the use of laboratory experiments and the application of monitoring and 

prediction tools that allow to increase the reliability of these processes, reduce waste and, mainly, bring 

robustness to them. Given this scenario, the main objective of this work is to generate a failure prediction model 

using sensors available on the market, of low cost and ease of application, which allow system users to reduce 

losses due to rework, reprocessing, loss of raw material and energy costs, through the generation of data to 

support the best decision, bringing greater sustainability to the organizational model. Among the 

achievements of the work, a bibliographical review was carried out in order to identify the main failures as 

well as the motivators that occur in the 3D printing processes and how they affect the quality of the produced

parts, in addition, opportunities were sought in the literature. of sensing and a modeling that allows the 

application of these as support to the decision.

COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 2403225 - UGO IBUSUKI
Membro Titular - Examinador(a) Interno ao Programa - 2073298 - ERIK GUSTAVO DEL CONTE
Membro Titular - Examinador(a) Externo à Instituição - EDUARDO DE SENZI ZANCUL - USP
Membro Suplente - Examinador(a) Interno ao Programa - 833.798.518-68 - KLAUS SCHÜTZER - UFABC
Membro Suplente - Examinador(a) Externo ao Programa - 1746153 - FERNANDO GASI