In this article the authors present a loaded tooth contact analysis (LTCA) method for asymmetric gears that provides an accurate and efficient design tool for analyzing and comparing designs. The presented method is implemented in SMT's MASTA software. The authors also present an example comparative study using this tool for an automotive application.
Attempts to eliminate mechanical drive trains in automobiles and trucks have had limited success because of cost, weight, dynamic characteristic, and efficiency of the alternative components.
Industry data is the essential factor current leaders need for success in navigating through the uncertainty created by the pandemic and the resulting economic downturn.
In 2021, the AGMA Foundation begins its 27th year. It is a critical year for the AGMA Foundation as our industry is facing incredible challenges and opportunities, and AGMA members are asking a great deal from our
industry Foundation.