Modelling Tool Wear in Milling

Weinert, K.1, a; Zabel, A.1, b; Rautenberg, J.1, c

1)
Institut für Spanende Fertigung, Universität Dortmund, Baroper Str. 301, 44227 Dortmund

a) weinert@isf.de; b) zabel@isf.de; c) rautenberg@isf.de

Kurzfassung

Modern process simulation tools allow the prediction of tool wear in complex milling tasks as in the manufacturing of sculptured surfaces. In order to useful results, the simulation systems have to be parametrised with data concerning the workpiece material, cutting material and other influencing factors which remain constant during a milling process. In order to keep the experimental effort for the calculation of these parameters as low as possible, it is necessary to apply the method known as statistical design of experiments (DoE). Furthermore different variable process parameters, as e. g. the engagement situation, the cutting speed as well as the depth and width of cut strongly interact. This results in quite different tool wear developments after the influencing factors were changed. For this reason the parameter’s impact on the process at different wear states have to be incorporated in an appropriate model for tool wear in milling. The article describes the development of such a model by using DoE and measured data from real processes.

Schlüsselwörter

Production Process, Milling, Tool Wear

Veröffentlichung

Production Engineering. Research and Development, 13 (2006) 2, S. 21-24