Enhancing product performance in machining processes: statistical analysis and development of predictive models

Process parameters, tool geometry and operating conditions considerably influence the quality and the functional performance, including the service-life, of machined components. Surface characteristics of the machined products such as hardness and roughness can influence the sustainability performance of the machined product and they have to be taken into account while changing the process conditions for improving its sustainability aspects. In this paper, a statistical analysis has been performed on the experimental data derived by external turning operations of aluminum AA 7075-T651, in dry, near dry and cryogenic conditions. The influence of lubrication, cutting speed and tool nose radius on some product and process performance has been analyzed. Predictive models for the surface roughness and hardness of the machined part has been derived at the varying of the lubrication system.