The use of lightweight alloys in vehicles will significantly increase fuel efficiency and cut emissions, but the auto industry lacks data and material models needed to reliably manufacture vehicle components from lightweight metals, including aluminum alloys and high-strength steels. Upon surveying our partners in the automotive and steel industries, we determined that NIST can meet a key role in addressing this problem by developing new mechanical testing methods and metrology, as well as a fundamental understanding of the interplay between multiaxial strain behavior and sheet microstructure.
We have developed a technique where, for the first time, the sheet's stress-strain response can be measured along non-linear multiaxial paths. This provides unique data on how the multiaxial flow surface changes with plastic strain, and this can be used to modify materials models used by industry. Concurrently, we also measure the evolving crystallographic texture of the sheet and the surface roughness, to develop a microstructural understanding of the materials' deformation response.
The tensile multiaxial yield surface of 5754 aluminum alloy sheet was measured from initial yield up to failure for the first time. The initial shape of the surface closely approximates an ellipse, as predicted by most plasticity models of forming. However, as the strain levels increase to levels typical of forming (5 % to 20 % plastic strain), the locus evolves asymmetrically, and an apex forms in the direction of balanced biaxial (BB) straining. At the highest strain levels, the error between the predicted and the measured flow stresses exceeds 25%.
The two deformation textures are 90 degree rotations with respect to one another, but the twofold symmetries of the textures leads to an asymmetry in the stress needed to form the textures, which coincides with the measured asymmetry in the yield surface. These results are being modeled using a Taylor-type description of the flow behavior of polycrystalline aggregates undergoing evolving textures, which is the basis of many common plasticity models, to see if this formulation adequately captures the behavior.
Surface roughness, and how it changes with plastic strain and contributes to forming friction, is another highly important issue. Conventionally, roughness is measured with a profilometer. However, we have found that these measures may be misleading—as both measurement uncertainties and statistical errors are compounded when the 2-D lines are extrapolated to the entire surface.
Our new approach uses data from a scanning laser confocal microscope, an instrument that builds a point-by-point image of a surface in 3-D. The data from a single image—representing an area of about 1000 μm x 800 μm x 20 μm in depth—are analyzed using mathematical techniques that treat every point in the image simultaneously to produce a roughness measure that considers the entire 3-D surface rather than a collection of 2-D stripes. This technique will reduce uncertainties in the measured surface roughness and allow more accurate characterization of the evolution of roughness with strain.