Abstract
In a Cyber-Physical System (CPS), sensors or other communicating tools embedded in physical entities are responsible for real-time data acquisitions . Operation decisions are adaptively made according to the physical inputs, and are transferred to the physical entities in order to optimise the performance of the system. Within a CPS, function blocks are applied at control level. Function blocks, as data and function carriers, are embedded in machining processes by combining machining features (MFs), which represent machining information, e.g. machining sequence, machining parameters, and other relevant machining resources. MFs are enriched to carry much more machining information and knowledge. A reachability-based MF sequencing method then generates MF sequence adaptively to minimise the cutting tool change times. Moreover, 3-axis based setups can be merged and dispatched adaptively to the selected machine tool.
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Wang, L., Wang, X.V. (2018). Adaptive Machining Using Function Blocks. In: Cloud-Based Cyber-Physical Systems in Manufacturing . Springer, Cham. https://doi.org/10.1007/978-3-319-67693-7_6
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DOI: https://doi.org/10.1007/978-3-319-67693-7_6
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