For 107 years, AGMA has been the go-to place for gear standards. We have been bringing together engineers and leaders from across our industry to keep our standards updated and in line with new technologies. We started with noise issues on electric street cars in the early 1900s, and today we lead the global ISO TC 60 committee on standards including wind-turbine gear-box development. As new technologies and gear applications emerged, AGMA has gathered experts to discuss, brainstorm, share, and collaborate on the topics of the day such as plastic gears, epicyclic gears, marine gears, wind turbine gearboxes, and, of course, gear sets for internal combustion vehicles. We have also kept updated standards on gear accuracy, materials, and lubrication. This work has led to standards that reduce costs, improve quality, and make safer products for manufacturers and consumers worldwide.
I’ve been seeing a lot of hype surrounding OpenAI’s artificial intelligence chatbot ChatGPT-4 recently. Including acing standardized tests and writing college term papers in seconds. Each time I read about it, I wonder how it, or a future generation of artificial intelligence (AI), will be used in companies and particularly in my job. To answer my question there’s no better place to go than to ask ChatGPT-4 itself.
This month's issue of Gear Technology covers a subject engineers love to learn about from others but hate to learn about through firsthand experience: gear failure. In a broad sense, all engineering is concerned with failure. Eventually, all parts fail, so engineers need to determine the limits of their design and ensure that it will meet the requirements of the particular application.