The study uses the A2Mac1 vehicle tear-down database of approximately 250 model 2011-2015 vehicles and statistical regression analysis to isolate mass-efficient designs and compare lightweighting. ![]() Technical fact findings to Auto Mass Benchmarking 2017 include: ![]() “With it, engineers can identify better, more realistic targets, saving time and money.” Don Malen, University of Michigan, developer of the methodology and who completed this 2017 update along with benchmarking database experts A2Mac1. ![]() “Statistical benchmarking opens a whole database of today’s vehicles to the benchmarking process,” said Dr. Statistical regression analysis also differs from what automakers commonly use today in that it reveals how mass efficient (or inefficient) the vehicle component design is among like components in the database. This update to the study focused on newer vehicles not previously analyzed, allowing comparisons over time to test both the robustness of the statistical models, and to detect any time dependent mass trends which may be present.īalzer explained that statistical regression analysis differs from traditional benchmarking methods in that it allows comparison of a new design with an entire database of vehicles over a range of sizes and segments, rather than comparisons of just one or two vehicles (typical auto benchmarking methodology). Carbon fibre or magnesium components could not be considered due to the limited number of these available for good statistical analysis. The study included components made of steel, aluminium and steel/aluminium combinations. We see this as an opportunity for mass savings with existing steel grades and manufacturing technologies, and even more savings with the new grades of steel that are continually being developed.” “For instance, steel door components of the same size and functionality range in weight from the heaviest at 22 kg to the most efficient at 15 kg, a 44% difference. “The most obvious trend is the wide mass range among the steel components in the database,” noted Balzer. The 2017 update to Auto Mass Benchmarking showed that even though the team of researchers examined newer vehicle models (2011-2015 compared to 2001-2012 previously), they observed the same lightweighting trends. ![]() “Upon completion of this third update to the study, the research team found that there continues to be a great deal of opportunity for design optimization and lightweighting with steel, even with grades currently available,” said Russ Balzer, Technical Director, WorldAutoSteel. By way of statistical regression analysis, automakers can 1) benchmark vehicle mass more accurately since this methodology reveals how efficient (or inefficient) vehicle components are and 2) facilitate even greater fuel-efficient designs (a greenhouse gas reduction strategy) for future vehicles. The study, Automotive Mass Benchmarking 2017, provides automakers with a new, more accurate way to benchmark the mass of vehicles. Latest Mass Benchmarking Study Reveals Steel Lightweighting Opportunities Methodology uses statistical regression analysis to isolate mass-efficient designs, compare lightweighting among materialsīRUSSELS, 28 JUNE 2017– Findings in an update to an Auto Mass Benchmarking study sponsored by WorldAutoSteel, the automotive group of the World Steel Association, continue to be positive for steel lightweighting.
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