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October 1, 2025

Voxel-Based Generative Modeling for Dynamic Process Planning in Subtractive Manufacturing

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Authors

MYM. Aziz Ben YoussefSASepideh AbolghasemSRSatchit Ramnath

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Overview

This framework enables real-time dynamic process planning in subtractive manufacturing, highlighting surface quality and machining parameters.

Key Points

  • The generative modeling framework improves process efficiency by adapting to changes in part geometry during machining.
  • High-resolution voxel representations map interactions between machining parameters and part surface quality effectively.
  • The approach predicts surface roughness through deviations from ideal surfaces, enhancing machining adaptability.
  • Deep generative models, like Auto-Encoders, optimize toolpaths based on real-time data and machining step predictions.

Cite This Study

Youssef et al. (2025) studied this question.

synapsesocial.com/papers/68dd91cffe798ba2fc498b68https://doi.org/10.1115/msec2025-156059
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  5. 5A comparison of six voxel-based data structures for part geometry and cutter-workpiece engagement computations in multi-axis virtual milling2024