spindle-tool dynamics

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• Published Subscription Review Article 1 Sep 2026

  Finite Element, Experimental, and Machine Learning-Based Optimization of Machining Stability for Polymer Composite Material Processing

  By Jeevan Raju Boddu, P Venkata Chalapathi, G Murali

  Abstract: The machining of polymer composite materials, particularly fibre-reinforced polymer-matrix composites, requires stable spindle-tool performance to avoid delamination, fibre pull-out, matrix cracking, thermal softening, poor surface integrity, and premature tool wear. In line with the scope of the Journal of Polymer & Composites, this study presents an integrated finite element, experimental, and machine learning framework for improving machining stability during end-milling of composite material systems. The spindle-tool assembly is modelled using …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article →