Fuzzy-logic based intelligent selection of machining parameters

Fuzzy-logic principles have been applied for selecting cutting conditions i n machining operations. The materials data used for theoretical calculation s were for medium-carbon leaded steel (BHN 125-425) and free-machining carb on wrought steel (BHN 225-425). Three different depths of cut (1, 4 and 8 m m) and four types of tools were used for these theoretical studies: (i) hig h-speed steel tool; (ii) carbide tool-coated; (iii) carbide tool-uncoated b razed; (iv) carbide tool-uncoated indexable. A fuzzy model has been developed for carrying out these calculations. In th is model, the fuzzy-metric arcs are overlapped at 50%. All of the calculati ons for both materials were done manually and equations expressing cutting speed as a function of hardness were obtained for different cases. The tech nique is demonstrated to be an effective way to present a large volume of e xperimental data in a compressed form. (C) 1999 Elsevier Science S.A. All r ights reserved.