Authors
Ramy Harik, Vincent Capponi, William Derigent
Conference
The Future of Product Development, pp. 617-628 (pp. 617-628). Springer, Berlin, Heidelberg.
Abstract
In this paper we propose and investigate the possibilities offered by a new approach to find milling sequences and chains to optimize the machining time. Optimized milling sequences helps the process planner in understanding and setting the optimal strategy to reduce the part’s machining time. Most previous chaining approaches concerned 2.5D pocket recognition for automotive mechanical parts. We present a new approach adapted to complex parts with a multitude of 5-axes orientation, focusing on our restrictive chaining algorithm based on the previously extracted machining directions. In a latter phase, the output sequences are filtered whereas we account the manufacturing fixture and machine-tool constraints.
Keywords
face sequencing chaining, manufacturing fixture, machining directions, machining feature recognition
Citation
Ramy Harik, Vincent Capponi, & William Derigent. (2007). Enhanced B-Rep Graph-Based Feature Sequences Recognition using Manufacturing Constraints. The Future of Product Development, pp. 617-628 (pp. 617-628). Springer, Berlin, Heidelberg.
Link: https://link.springer.com/chapter/10.1007/978-3-540-69820-3_60