Abstract
Global development requires the use of contemporary soft computing in production processes. The introduction of intelligent production processes requires the consideration of more advanced aspects in modern production technologies. In response to market demands, it is necessary to introduce advanced cutting processes that are consistent with the concept of sustainable development, and supported by modern data processing and control technologies. In this chapter, the concept of smart machining in advanced cutting processes and their soft computing-based modeling are described. A machinability evaluation framework of based on the analysis and parameterization of the advanced machining process by the selection of influencing factors and process performance indicators is shown. This activity is referred to as the necessary phase that creates the background for soft computing. The fundamentals of various soft computing techniques used in data analysis, modeling, simulation, and optimization of advanced cutting processes are presented. Minimum quantity lubrication (MQL) and High-pressure jet assisted machining (HPJAM) were analyzed as advanced machining processes. Process analysis was performed using the bio-inspired algorithm soft computing, and conclusions were drawn about the machinability, efficiency, and economy of the machining process.
