Application of Type-2 fuzzy estimation on uncertainty in machining: An approach on acoustic emission during turning process

Modern day manufactured products in high-technology industries demand ever higher precision and accuracy. The need for continuous improvements in product quality, reliability, and manufacturing efficiency has imposed strict demands on automated product measurement and evaluation on uncertainties in machining process. Type-2 fuzzy logic estimation provides the possibility to indicate the uncertainties in manufacturing process to automated process monitoring which is crucial in maintaining high quality production. This paper uses type-2 fuzzy approach to filter the raw acoustic emission (AE) signal directly from the AE sensor during a turning process and the estimation of uncertainty of AE could be of great value to a decision maker and be used to investigate tool wear condition during machining process.