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Computational and Experimental Analysis of Surface Residual Stresses in Polymers via Micro-Milling

Lookup NU author(s): Dr Dehong Huo

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Abstract

© 2024 by the authors.This research conducts an in-depth investigation into the residual stresses in resin micro-milling processes. Considering that resin is the most crucial matrix material in composites, the construction of a precise machining theory for it is not only key to achieving high-quality- and efficient processing of composite materials but also fundamental to enhancing the overall performance of the materials. This paper meticulously examines the surface integrity and accuracy of epoxy polymers following precision machining, primarily revealing the significance of residual stresses and size effects in extending the lifespan of precision components and promoting their miniaturization. We have adopted an innovative finite element (FE) simulation method, integrated with the Mulliken–Boyce constitutive model, to profoundly analyze the impacts of residual stresses on the surfaces and sub-surfaces of thermosetting polymers. This research further explores the influence of critical machining parameters such as chip thickness, cutting edge radius, feed per tooth, and axial depth on cutting forces, as well as the inherent size effects in polymers. Utilizing X-ray diffraction (XRD) technology, we accurately measured the residual stresses generated during the micro-milling process. The close correlation between FE simulations and experimental results validates the accuracy and effectiveness of our method. This study represents a substantial breakthrough in finite element simulation techniques for high-precision machining of polymer materials, injecting valuable theoretical and practical knowledge into the field.

Publication metadata

Author(s): Sun F, Fu G, Huo D

Publication type: Article

Publication status: Published

Journal: Polymers

Year: 2024

Volume: 16

Issue: 2

Online publication date: 19/01/2024

Acceptance date: 27/12/2023

Date deposited: 05/02/2024

ISSN (electronic): 2073-4360

Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

URL: https://doi.org/10.3390/polym16020273

DOI: 10.3390/polym16020273

Data Access Statement: Data are contained within the article

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