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Preliminary notes To avoid production of low quality products and reduce unnecessary time wastage, algorithms for decision making are widely used in process planning. Usually decision of selecting cutting conditions (depth of cut, feed and cutting speed) is made by experience or using handbooks. Much effort during years was invested in finding optimizing algorithms for metal cutting processes. Algorithm given by G. Halevi does not include specific tool or machine for machining process and that is why it is called reverse algorithm. Taking in consideration boundary values of cutting conditions and their effects on surface roughness, algorithm finds maximum values of cutting conditions, giving preference to the feed rate and thus minimizing the number of cutting passes. Proposed algorithm was explained by data flow implemented in software package MATLAB and tested on the example of axial turning. The obtained results were compared to recommendations retrieved from Iscar’s catalog and show that algorithm is suitable for determining appropriate number of cutting passes and cutting conditions. This paper is a contribution to the automated algorithms for decision making in process planning.

Reverse algorithm for determining the number of cutting passes and cutting conditions in axial turning