RSM-BASED SURFACE ROUGHNESS MODELLING DURING AISI-H13 SLOT MILLING

Anastasios TZOTZIS, Konstantinos KAKOULIS, Nikolaos EFKOLIDIS, Panagiotis KYRATSIS

Abstract


Surface roughness is a critical parameter when considering machining cost, tool longevity and mechanical component performance. A widely applied method for developing prediction models is Response Surface Method (RSM). In the present work, RSM was implemented to facilitate the development of a model for prediction purposes of surface roughness during AISI-H13 slot milling. 30 experiments were prepared and carried out with the aid of a machining center, according to the Central Composite Design (CCD). Surface roughness was measured on multiple points on each slot and an average value was calculated for both Ra and Rz. The results of the study indicated a strong correlation between the experimental and the predicted measurements, with levels of agreement exceeding 85% in most cases.


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References


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