Optimal Sensor Placement based on Model Order Reduction

In this paper, we consider optimal sensor placement problems for thermoelastic solid body models. More precisely, the temperature sensors are placed in a near-optimal way, so that their measurements allow an accurate prediction of the thermally induced displacement of the tool center point (TCP) of a machine tool under thermal loading. An efficient calculation is based on a low-dimensional approximation of the thermal field. Different model order reduction methods are compared with respect to the accuracy of the estimated TCP displacement and the optimized sensor locations. Peer-review under responsibility of the International Scientific Committee in the person of the Conference Chair Prof. Steffen Ihlenfeldt.