A technical note on integrated product quality model using artificial neural networks

Product quality refers to the form errors, surface finish and dimensional errors produced on components during machining. Several factors such as machine accuracy, tool/work deflections, process conditions, etc. dictate the product accuracy produced during manufacturing. Despite significant research work, there is no integrated product quality model reported to predict the product quality performance in CNC machining. This paper reports the development of an intelligent product quality model for CNC turning using neural network techniques.