Machine manufacturer Klingelnberg now ranks among the new members of Innovation Hub, Bergisches RheinLand. The company signed its membership contract on 17 February 2023, at the headquarters of Innovation Hub, Bergisches RheinLand in Gummersbach, Germany.
Gear Technology’s annual State-of-the-Gear-Industry survey polls gear manufacturers about the latest trends and opinions relating to the overall health
of the gear industry. As in years past, the survey was conducted anonymously, with invitations sent
by e-mail to gear industry companies—primarily in North America, but also including some respondents
from around the world. Nearly 200 individuals responded to the survey.
In 2022, machine manufacturer Klingelnberg again honored its employees with longstanding service to the company. This year’s honorees included 16 colleagues celebrating 40 years of service and 14 employees looking back on 25 years with the company. Two employees are even marking a full 50 years of service.
State of the Gear Industry Perspectives takes an in-depth look at the challenges and opportunities in gear manufacturing today and in the future. Our second installment online is an interview with Christof Gorgels, vice president, innovation and technology at Klingelnberg.
In this latest edition, issue 9, of the GEARS inline Customer Magazine, Klingelnberg once again presents all sorts of trends and innovations from the world of gears. This time, the machine manufacturer focuses primarily on the hot topic of noise behavior and analysis.
System-supplier Klingelnberg will be back at AMB (Booth C41, Hall 5), where it will be highlighting solutions for smooth-running gearboxes. The exhibit will feature the Höfler Cylindrical Gear Grinding Machine Speed Viper, the Klingelnberg Precision Measuring Center P 40 and the newly developed Höfler Cylindrical Gear Roll Testing Machine R 300.
When it comes to an early identification of noise problems in the drivetrain one has to take data analytics and its integration in the manufacturing process into account. The big vision here, in particular, is preventive quality. By evaluating sensor data of the machining process, it promises to predict whether a gear is ok or not ok.