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A new analytical cutting force model is proposed for micro-end-milling operations. The model calculates the chip thickness by considering the trajectory of the tool tip while the tool rotates and moves ahead continuously. The proposed approach allows the calculation of the cutting forces to be done accurately in typical micro-end-milling operations with(More)
Cutting forces are small, and in many cases insignificant, compared with noise during the micro-machining of many non-metals. The Neural-Network-based Periodic Tool Inspector (N 2 PTI) is introduced to evaluate tool condition periodically on a test piece during the machining of non-metal workpieces. The cutting forces are measured when a slot is being cut(More)
Machining conditions are optimized to minimize the production cost in conventional manufacturing. In specialized manufacturing applications, such as micro machining and mold making, achievement of specific goals may be the primary objective. The Genetically Optimized Neural Network System (GONNS) is proposed for the selection of optimal cutting conditions(More)
S-transformation is proposed to evaluate the quality of completed turning operations. The calculated time-frequency-amplitude plot of an accelerometer or cutting force signal indicates the vibration level at different frequencies and helps the operator to identify the problems. Time-frequency-damping index plots were obtained by using the s-transformation.(More)
Servovalves are one of the most important components of the complex machinery of space exploration. They have to be at the perfect condition for safe and efficient operation of very valuable complex machines. In this paper, use of wavelet transformation (WT) and adaptive resonance theory 2 (ART2) type self learning neural network (NN) combination is(More)
Properly selected transformation methods obtain the most significant characteristics of metal cutting data efficiently and simplify the classification. Wavelet Transformation (WT) and Neural Networks (NN) combination was used to classify the experimental cutting force data of milling operations previously. Preprocessing (PreP) of the approximation(More)
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