SUMMARY

Metal machining subjects material to large strains (e > 1) at extremely high rates (rate > 1000 s-1) while simultaneously imposing heating due to dissipated plastic
work. This complex thermomechanical loading drives microstructure evolution and consequently property evolution. Oxygen Free High Conductivity Copper (OFHC Cu) is studied as an example FCC system. Collected chips from machining experiments, subjected to differing process conditions, are imaged using scanning electron microscopy to reveal the underlying microstructure. Chip properties are inferred from a combination of spherical nanoindentation experiments and a novel Bayesian nanoindentation inverse solution enabled by the use of kriging FEA surrogate models. The process-structure-property linkages are established for OFHC Cu. In addition a novel model calibration methodology is presented for the establishment of machining constitutive model parameters by using a combination of both machining forces and chip microstructure/property data. This fusion of data has not been utilized for model calibration in the machining community.