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EN
To meet the higher demands of the lightweight industry, composite materials are used for weight-bearing structures. Due to their superior properties, CFRP (Carbon Fibre Reinforced Plastic) – aluminium stacks are especially attractive for many applications in the aerospace industry. Using rivets to connect these materials requires precise boreholes in large numbers, which are usually drilled. Because of the anisotropic material properties, high demands on the tool performance and process stability are set. Damages such as delamination, fibre pull-outs and inadequate surface properties are frequently observed at the drilled boreholes. To improve the monitoring status and failure detection, acoustic emission during drilling was analysed using the discrete wavelet transform method. By converting time signals into multiple independent time-frequency signals, temporary events during the monitoring of the cutting processes can be found. The studies show that certain combinations of wavelet families are particularly useful for describing correlations between acoustic emission and the delamination of the CFRP surface.
EN
Wood materials are an important part of our daily life. Besides furniture, doors and window elements, parquet floors, veneering, ply wood, chip- and fibreboards, also structural elements for buildings are typical products. Due to the specific properties, variety and complexity of natural wood, wood materials and wood composites, the machining of parts made out of these materials exhibits specific challenges. In order to further improve productivity, quality and efficiency in wood machining, innovative solutions with respect to tool technology, process planning, machinery, process monitoring and intelligent control are necessary. This keynote paper reviews and summarizes scientific developments in wood machining in recent years. Furthermore, exemplary current an ongoing research activities are introduced. Finally, the paper presents and discusses future potentials regarding new approaches for intelligent process control in wood machining.
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