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The automation of machining has been spread rapidly since NC machine tool was introduced. An NC machine tool is operated by a numerical control program called NC program. However, enormous manual tasks to generate NC program, such as the determination of removal volume, machining sequence and cutting conditions, are required for operators. On the other hand, the manufacturing system is changing drastically to the manufacturing of a wide variety of products in small quantities under the rapid change of the customer demand and the diversification of the market requirements. Additionally, many mechanical parts with complicated shapes have been manufactured in aerospace, medical industries and so on. Therefore, the machining processes have been faced the problem to take much time and effort for generating NC programs even using CAM systems. Although a CAM system becomes familiar for generating NC programs, the high-efficiency to generate NC programs has not been realized. A conventional CAM system still requires enormous manual tasks such as decision of the removal volume, the machining sequence and cutting conditions. There are some previous researches on Computer Aided Process Planning (CAPP) systems to automatically determine the machining sequence from CAD model (Sugimura, 2006, Hamada et al., 2012, Ueno and Nakamoto, 2015, Morinaga et al., 2011, Dwijayanti and Aoyama, 2014, Nishida et al., 2017). Furthermore, there is a previous research to automatically generate NC program by determining cutting conditions depending on the product feature (Shinoki et al., 2015). In the previous researches, the cutting conditions are determined by reusing machining case data based on the concept of Case-Based Reasoning (CBR) in order to reflect the experience and the know-how of skillful operators in NC program generation. CBR is the method to solve a new problem by referring to the solution of the past

Automatic determination of cutting conditions for NC program generation by reusing machining case data based on geometric properties of removal volume