Minimum deviation zone of parametric sculpture surfaces in automotive body manufacturing

• Processo: 12/51219-0
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Data de Início da vigência: 01 de fevereiro de 2013
• Data de Término da vigência: 31 de janeiro de 2015
• Área do conhecimento: Engenharias - Engenharia Mecânica - Processos de Fabricação
• Acordo de Cooperação: University of Ontario Institute of Technology
• Pesquisador responsável: Thiago de Castro Martins
• Beneficiário: Thiago de Castro Martins
• Pesquisador Responsável no exterior: Ahmad Barari
• Instituição Parceira no exterior: University of Ontario Institute of Technology (UOIT), Canadá
• Instituição Sede: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brasil
• Vinculado ao auxílio: 10/19380-0 - Recozimento simulado com avaliação incompleta da função objetivo aplicado à tomografia por impedância elétrica, AP.R
• Assunto(s): Indústria automobilística Metrologia Simulated annealing
• Palavra(s)-Chave do Pesquisador: Automotive Industry | Coordinate Metrology | Optimization | Point Cloud | Sculptured Surface | Simulated Annealing

Resumo

Application of free-form surfaces in automotive body significantly increases due to the more advanced aesthetic design of the structure, the need for enhancing the strength and stiffness of the body surfaces for local and normal loads. Coordinate metrology plays an important role to assure the geometric and dimensional accuracies in these manufacturing processes. However, the computation uncertainties in today's coordinate metrology systems are too significant which effects the reliability in measurement of sculptured surfaces used in auto-body. These measurement uncertainties cause significant loss for automotive industries due to the high probability of accepting wrong manufactured surface or rejecting the acceptable ones. The objective of this proposal is to enhance the coordinate metrology of the sculptured surfaces by developing a new algorithmic approach in fitting the best substitute geometry to the best selection of the discrete measurement three dimensional date. Implementation of a customized optimization procedure will be the approach to solve the problem. This process need to be developed based on the nature of the geometric deviation error function and it should be able to dynamically avoid the probability of getting trapped in local minima. (AU)

Publicações científicas

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

MARTINS, THIAGO C.; TSUZUKI, MARCOS S. G.; TAKIMOTO, ROGERIO Y.; BARARI, AHMAD; GALLO, GIULLIANO B.; GARCIA, MARCOS A. A.; TIBA, HAMILTON; IEEE. Algorithmic Iterative Sampling in Coordinate Metrology Plan for Coordinate Metrology Using Dynamic Uncertainty Analysis. 2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), v. N/A, p. 2-pg., 2014-01-01. (11/22402-8, 12/51219-0)