Abstract
In spite of the huge number of research studies around empirical surface roughness models, there is no methodology applied in industry to model and adapt accurately the surface roughness in machining operations. Any change of the process with respect to the initial conditions where the experiments were conducted implies an additional estimation error which difficulties the use of the model in the current process. This paper studies the portability of empirical models for surface roughness prediction in face milling operations. As portability problem, we refer to how a proper surface roughness model obtained from theoretical/experimental data under specific conditions decreases its performance when it is applied in a different environment. The work gives some guidance for future design of more robust surface roughness models.
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