Abstract
Abstract
Intelligent machining is an advanced method in manufacturing, related to the recent developments in reconfigurable manufacturing equipment. A multilevel modular scheme for implementing integrated process monitoring, diagnosis and control is proposed. A PC-based hardware integrated within an object-based software structure is used to manipulate several machining parameters while performing on-line sensing of machining variables, through sampling and processing by means of digital signal processing (DSP). Indirect measurement of machining parameters, surface finish and tool wear monitoring, through the use of neurofuzzy (NF) sensor fusion modelling, is presented as a part of the integrated approach. A fuzzy relation (FR), indicating the nature of the connection between dependent and independent process-related variables, and acting as a knowledge node within a decision-making scheme, determines intelligently the variations in machining parameters when a performance parameter exceeds the predetermined functional limits. Such capability is utilized on-line. The integrated approach for further improvement in machining quality and overall productivity is described.