Machine Tool Genome Project

For many machining operations, the onset of unstable chatter vibrations can limit the achievable material removal rate. Past research by Tlusty and others has shown how to create stability lobe diagrams that provide regions of stable and unstable cutting, and allow selection of non-intuitive machining parameters that can greatly improve productivity. However, creation of the stability lobe diagrams requires knowledge of the structural dynamic response of the tool-holder-spindle-machine system, typically obtained by experimental measurement. Given the huge number of combinations of machines, spindles, holders, and tools, the effort required to collect all of the required data experimentally is overwhelming; calling for an approach that can predict the tool point frequency response function for arbitrary tool-holder-spindle-machine combinations using minimum input information. This talk will describe an method for characterizing the "dynamic fingerprint" or "DNA" of each machine, spindle, and holder; and ways to analytically predict the tool point frequency response for arbitrary tools.