Abstract
Engineering designers often adapt their design structure to the needs of functional requirements independently of the capacity of the designed technical system to offer innovative capacities. Based on the notion of contradiction brought from TRIZ theory (Russian acronym for theory of inventive problem solving), we have developed an approach to reversely build a parametric intelligent structure potentially solving a wide range of inventive problematic situations. The proposed structure relies on an elastic buckling instability. A parametric CAD (Computer-Aided Design) model of the structure was carried out and its behavior is studied with finite element analysis (FEA), driven by a design of experiments (DoE). In this article, a specific method of characterization and multi-objective optimization of the structure is offered. Our objective is to bring a method to allow an engineering designer to solve rapidly and inventively his contradictory requirement in adapting it to the industrial application sought for.
Highlights
Meta-materials are specific materials with special characteristics which cannot be found in natural materials
This method is based on a design of experiments (DoE) which relies on finite element analysis (FEA)
With conventional met– hods, a structure is built and its characterization is done by experiments or by FEA
Summary
Meta-materials are specific materials with special characteristics which cannot be found in natural materials. Meta-materials are investigated for their specialresponses which offer new mechanical possibilities. The evolution can be done with new lattice structures which are investigated to offer specific mechanical behaviors[1],[2]. This article studies an auxetic structure which means that the structure owns a negative Poisson's ratio. This study relies on a structure with a snapping mechanism. The studied structure were is intended to be manufactured by additive manufacturing due to its complex shapes. Characterization of these types of structures can rely on traction or compression method with finite element analysis (FEA) or experimental aspect[7]–[10].
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