Abstract
Precision machining is a process where material is removed from a component to very tight tolerances. A final product could be made of several components. A cumulative error in process variations is measured based on process variations existence in each component. This could lead to product rejection for crucial sensitive components. The current CNC machines are unable to achieve this very tight tolerance throughout the machining cycle and on a consistent basis. The customers also demand such tightly tolerance products not only at a given point of measurement but throughout the product. Therefore, manufacturers are constantly seeking for new technology, method or process to achieve such very tight tolerances in machining. This paper addresses development of a new technology to increase the precision of machining in CNC machines. In this, an indigenously designed portable fixture with and without laser detection system is developed, which is mounted on an existing CNC machine. This portable fixture has the intelligence developed using artificial neural network to monitor the machining operations and takes appropriate actions (controls) when process variations go outside the targeted value in real-time. A case study in aircraft component is presented as an example. This paper represents experiments using a Makino high speed CNC milling machine, conducted using Design of experiments. The results are promising results and recommendations based on findings are discussed in this paper.
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Nithyanandam, G.K., Franchetti, M., Pezhinkattil, R. (2022). A New Technology to Achieve Precision Machining for CNC Machines Using Artificial Neural Network. In: Hinduja, S., da Silva Bartolo, P.J., Li, L., Jywe, WY. (eds) Proceedings of the 38th International MATADOR Conference. MATADOR 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-64943-6_26
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DOI: https://doi.org/10.1007/978-3-319-64943-6_26
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