Abstract
This paper discusses the experimental results obtained by testing the knowledge-based module of the intelligent tool selection system (ITS_KBS). The main objectives of the testing programme were to check the essential functionality, verify the empirical rules and criteria and fine-tune the system. Although certain functions were tested on the computer, a large number of cutting tests were completed using steel components and the system's performance was assessed over a wide range of component geometries and cutting conditions. The cutting tests were successful since ITS_KBS selected tools and generated safe but efficient cutting data which worked on the machine tool the first time around in the large majority of instances. Overall, the results of the testing programme were very encouraging in that they verified the main research assumptions and fulfilled the expectations regarding functionality.