Rough times

Researchers at the National Institute of Standards and Technology have developed a novel technique for measuring the roughness of surfaces.


Researchers at the US National Institute of Standards and Technology (NIST) have developed a novel technique for measuring the roughness of surfaces that is casting doubt on the accuracy of current procedures.


Surface roughness is a key issue for auto manufacturers and other industries that use sheet metal, one that goes far beyond simple cosmetics. Faint striations and other marks that appear when metal is shaped can indicate residual stresses that can cause the part to fail later on. They also lead to extra wear and early retirement for the expensive stamping dies used to form sheet metal into car bumpers and other body parts.


Measures of surface roughness feed into models that predict friction and the metal’s ‘springback’ – the amount it will unbend after being stamped. Springback has to be known and controlled to build accurate dies for complex metal shapes.


Conventionally, roughness is measured with a profilometer, an instrument with a probe that is tracked in a line across the test surface to record the peaks and valleys. The process is repeated several times at intervals across the test surface, and the results are averaged into a ‘roughness’ figure.


But NIST researchers have found that these measures may be misleading – as both measurement uncertainties and statistical errors are compounded when the 2D lines are extrapolated to the entire surface.


NIST’s approach uses data from a scanning laser confocal microscope (SLCM), an instrument that builds a point-by-point image of a surface in three dimensions. The data from a single SLCM image – representing an area of about 1000 X 800 micrometres by 20 micrometres in depth – are analysed using mathematical techniques that treat every point in the image simultaneously to produce a roughness measure that effectively considers the entire 3D surface rather than a collection of 2D stripes.


One early finding is that the generally accepted linear relationship between surface roughness and material deformation is wrong, at least for the aluminium alloy the group studied. The more accurate data from the 3D analysis shows that a more complicated relationship was masked by the large uncertainties of the linear profilometers.


The NIST researchers hope their new technique will lead to more accurate models of the effects of strain on new alloys and, eventually, lower development and tooling costs for metalworking industries.