Objective
Objectives and content
First generation commercial numerical models such as
finite element codes are currently used in the sheet
metal forming industry to improve product quality and to
reduce development costs. The numerical formulations and
material descriptions used so far have not permitted
accurate predictions of springback, instabilities or
defects such as diffuse necking, shear bands, wrinkling
buckling, tearing failure or ears. The objective of the
proposed new research programme is to develop a new
generation of predictive finite element codes for strain
localisation in thin sheet forming based on precise
experimental observations and analyses. This requires a
fundamental study of material behaviour and localisation
phenomena, the identification localisation parameters by
analysing tests for various strain paths, the
implementation localisation criteria in finite element
formulation for thin sheet forming while developing
numerical procedures for adapting the mesh within nonlinear finite element models in order to capture the
localisation initiation and propagation.
Three metals have been selected so as to span the
spectrum of deep drawing operations for automotive
applications: a classical deep drawing steel, 1050
aluminium and a stainless steel. Specific aims of the
research programme are:
to improve existing experimental techniques to track
the propagation of instabilities at any stage of
laboratory or a process related tests,
to implement a gradient plasticity theory for thin
metal sheets,
to develop 3D adaptive remeshing techniques and a
contact algorithm for thin shell formulations,
to use these numerical models as direct models in
inverse methods in order to identify the failure modes
from forming limit tests,
to define failure modes and localisation criteria.
Detailed comparisons between experimental tests and
numerical predictions will be carried out for deep
drawing tests and for two industrial parts: an exhaust
pipe and an oil pan.
The consortium gathers materials scientists, finite
element specialists, SME software companies and a large
European industrial end-user.
The research programme conforms to Framework IV BriteEuRam objectives 1.1 (New Production Systems), 1.4
(Safety and Reliability of Production Systems), 2.1
(Materials Engineering), 2.2 (New Methods for Product
Design and Manufacturing), 2.3 (Reliability and Quality
of Materials and Products) and 3B.2 (Vehicle Production).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences chemical sciences inorganic chemistry post-transition metals
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
06565 VALBONNE
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.