An adaptive control optimization system was developed to produce a desired surface finish roughness by automatic control of the workpiece feed rate in routing. The system developed in this study consists of interconnecting an adaptive controller with a numerically controlled router. Acoustic emission (AE) signals were measured to monitor the machining process continuously in this system. The signals were provided to the adaptive controller to evaluate the surface finish roughness and adjust the workpiece feed rate automatically in the machining process. The experiments were carried out with a sintered cemented carbide router bit. The parameters controlled were workpiece feed rate and grain orientation related to the feed rate direction (grain angle). Yellow-poplar (Liriodendron tulipifera Linn.) was used as the workpiece. Experimental results indicated that adaptive control optimization took place in the system developed for routing. The desired surface roughness was produced by automatic control of workpiece feed rate using the sensing technique of AE signals.
|Number of pages||6|
|Journal||Forest Products Journal|
|Publication status||Published - Nov 1 1996|
All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Plant Science