NIST study helps auto engineers by the numbers

These optical micrographs show two surfaces with the same average roughness values but dramatically different surface topographies. <br>

Using rigorous statistical analysis, National Institute of Standards and Technology (NIST) researchers identified a potential source of error in the surface roughness data used in the automotive industry to predict how friction affects production of metal parts during forming.

With this improved analysis, automakers should be able to more easily incorporate lighter weight materials in their products and improve fuel efficiency.

The NIST scientists presented their findings at the Society of Automotive Engineers’ World Congress 2004, held in Detroit March 8-11.

The NIST researchers found industry often tries to draw specific conclusions about the surface with mathematically averaged roughness data that are too general.

They also demonstrated that the current industrial practice for interpreting surface roughness may produce the same roughness values for two surfaces with markedly different topographies. This could lead to inaccurate predictions of friction because this surface roughness measurement only quantifies the average peak heights and valley depths, not the spacing between them.

Friction is key in auto part production. Too little friction during manufacturing leads to parts wrinkling and buckling. Too much friction can cause parts to tear.

The NIST team is continuing its work and is developing a new analytical approach for industry use for more reliable predictions of surface roughness and friction.

Media Contact

Scott Nance EurekAlert!

More Information:

http://www.nist.gov/

All latest news from the category: Process Engineering

This special field revolves around processes for modifying material properties (milling, cooling), composition (filtration, distillation) and type (oxidation, hydration).

Valuable information is available on a broad range of technologies including material separation, laser processes, measuring techniques and robot engineering in addition to testing methods and coating and materials analysis processes.

Back to home

Comments (0)

Write a comment

Newest articles

A universal framework for spatial biology

SpatialData is a freely accessible tool to unify and integrate data from different omics technologies accounting for spatial information, which can provide holistic insights into health and disease. Biological processes…

How complex biological processes arise

A $20 million grant from the U.S. National Science Foundation (NSF) will support the establishment and operation of the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at…

Airborne single-photon lidar system achieves high-resolution 3D imaging

Compact, low-power system opens doors for photon-efficient drone and satellite-based environmental monitoring and mapping. Researchers have developed a compact and lightweight single-photon airborne lidar system that can acquire high-resolution 3D…

Partners & Sponsors