At most family reunions, everyone gets along, everyone puts on a good face, and everyone celebrates their togetherness. The AGMA annual convention held at the end of April was a lot like that.
Back around 2005-2010, the most exciting things that were happening in broaching had little to do with broaching. What
was happening - and continues to
evolve today - was the emergence of on-the-edge CNC, software and servo drive
technology. Together, they practically
transformed a metalworking process as
old as water into a viable, alternative
consideration for producing high-volume
part runs.
Gear Industry Steps Up to Automation
Challenges in Auto Industry. Automotive parts are always moving. They are zipping across conveyors, smashing into each other in bins and traveling across the production chain before ending up inside an automobile. For gears, this can be a somewhat precarious situation as they tend to run best when they're free from nicks, abrasions, cracks or other damages.
Accurate prediction of gear dynamic factors (also known as Kv factors) is necessary to be able to predict the fatigue life of gears. Standards-based calculations of gear dynamic factors have some
limitations. In this paper we use a multibody dynamic model, with all 6 degrees of freedom (DOF) of a high-speed gearbox to calculate gear dynamic factors. The findings from this paper will help engineers to understand numerous factors that influence the prediction of dynamic factors and will help them to
design more reliable gears.
John Harrison (1693–1776) - a British clockmaker (and carpenter) whose extremely precise chronometer enabled seafarers to calculate longitude (also known as east-west axis) with a degree of accuracy that until then was unheard of.
I have a query (regarding) calculated gear life values. I would like to understand for what % of gear failures the calculated life is valid? Is it 1-in-100 (1% failure, 99% reliability) or 1-in-one-thousand (0.1% failure)?