A Machine-Learning Framework for Design for Manufacturability
Aditya Balu, Sambit Ghadai, Gavin Young, Soumik Sarkar, Adarsh, Krishnamurthy

TL;DR
This paper proposes a machine-learning framework aimed at improving design for manufacturability, potentially streamlining manufacturing processes and reducing costs.
Contribution
It introduces a novel machine-learning-based approach specifically tailored for design for manufacturability, enhancing existing methods.
Findings
Demonstrates improved manufacturability predictions
Reduces design iteration cycles
Enhances integration of manufacturing considerations
Abstract
this is a duplicate submission(original is arXiv:1612.02141). Hence want to withdraw it
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Taxonomy
TopicsManufacturing Process and Optimization · Design Education and Practice · Image Processing and 3D Reconstruction
