In Part I of this research various factors that affect the work piece surfa
ce roughness were studied. There was an obvious trend showing that the roug
hness of face-milled surfaces changes with tool service time. In this paper
Part II, a regression math model has been developed to describe the roughn
ess change. Additional tests were conducted to confirm the model. It was fo
und that roughness is a quadratic function of tool service time. Numerous f
actors affect surface roughness. These influences can be accounted for by t
he coefficients of the quadratic function. For a specific application, a re
gression can be determined from results of a sim pie test. Tool life can be
predicted knowing the quadratic function and roughness specification.