Workpiece Quality Prediction for Gear Hobbing based on Sensor Data

Procedia CIRP, vol. 126, pp. 531–536

Abstract

In gear hobbing, as in other soft machining processes, it is essential to maintain the required workpiece quality to avoid rejects or increased rework. To track the workpiece quality, the manufactured gears usually have to be measured on a measuring machine. In order to ensure workpiece quality even with long measuring intervals, process monitoring offers an approach to check the gear quality already during the manufacturing process. In this report, the potential of acceleration data with regard to the assessment of workpiece quality is investigated. In this investigation, both analytical and artificial intelligence based methods are considered.

Authors 3

1. Steffen Hendricks corresponding Aachen

   RWTH Aachen University

   Affiliation as printed

   WZL of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

2. Mareike Solf Aachen

   RWTH Aachen University

   Affiliation as printed

   WZL of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

3. Thomas Bergs Aachen Fraunhofer IPT

   RWTH Aachen University · Fraunhofer Institute for Production Technology IPT

   Affiliation as printed

   Fraunhofer IPT, Steinbachstraße 17, 52074 Aachen, Germany

   WZL of RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany