Chip Formation Model for Orthogonal Diamond Turning of PMMA Using Coupled Eulerian–Lagrangian Approach

Abstract Understanding of the ultraprecision diamond turning of polymethyl methacrylate (PMMA) is challenged by its complex strain-rate- and temperature-dependent mechanical behavior. To address this issue, a quasi-two-dimensional finite element method model using a coupled Eulerian–Lagrangian (CEL) approach in Abaqus/Explicit is developed and validated in this work. A key innovation is a pragmatic, data-driven material model generated from a comprehensive library of digitized stress–strain curves, which effectively captures the thermomechanical properties of PMMA without relying on complex constitutive laws. The CEL formulation successfully manages the large material deformation and continuous chip formation inherent to the cutting process. Model predictions for cutting forces ( $$F_{\text{c}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>F</mml:mi> <mml:mtext>c</mml:mtext> </mml:msub> </mml:math> ), thrust forces ( $$F_{\text{p}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>F</mml:mi> <mml:mtext>p</mml:mtext> </mml:msub> </mml:math> ), and chip thickness ( $$t_{\text{chip}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>t</mml:mi> <mml:mtext>chip</mml:mtext> </mml:msub> </mml:math> ) are rigorously compared against experimental data from a series of orthogonal cutting tests with varying depths of cut ( $$a_{\text{p}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>a</mml:mi> <mml:mtext>p</mml:mtext> </mml:msub> </mml:math> ) and cutting speeds ( $$v_{\text{c}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>v</mml:mi> <mml:mtext>c</mml:mtext> </mml:msub> </mml:math> ). The simulation demonstrated strong qualitative agreement with the experimental trends, confirming its ability to capture the underlying process physics and providing a robust, validated foundation for the optimization of the diamond turning process for amorphous polymers in high-precision applications.

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Publication Details

Journal
Nanomanufacturing and Metrology
Published
2026-04-27
DOI
https://doi.org/10.1007/s41871-026-00292-1
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Chip Formation Model for Orthogonal Diamond Turning of PMMA Using Coupled Eulerian–Lagrangian Approach

Kai Rickens, Bernhard Karpuschewski, L. Langenhorst, Oltmann Riemer et al.
Nanomanufacturing and Metrology
Advanced Surface Polishing Techniques
article

Chip Formation Model for Orthogonal Diamond Turning of PMMA Using Coupled Eulerian–Lagrangian Approach

Kai Rickens, Bernhard Karpuschewski, L. Langenhorst, Oltmann Riemer, Wei Wang, Henning Specketer
article en

Abstract

Abstract Understanding of the ultraprecision diamond turning of polymethyl methacrylate (PMMA) is challenged by its complex strain-rate- and temperature-dependent mechanical behavior. To address this issue, a quasi-two-dimensional finite element method model using a coupled Eulerian–Lagrangian (CEL) approach in Abaqus/Explicit is developed and validated in this work. A key innovation is a pragmatic, data-driven material model generated from a comprehensive library of digitized stress–strain curves, which effectively captures the thermomechanical properties of PMMA without relying on complex constitutive laws. The CEL formulation successfully manages the large material deformation and continuous chip formation inherent to the cutting process. Model predictions for cutting forces ( $$F_{\text{c}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>F</mml:mi> <mml:mtext>c</mml:mtext> </mml:msub> </mml:math> ), thrust forces ( $$F_{\text{p}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>F</mml:mi> <mml:mtext>p</mml:mtext> </mml:msub> </mml:math> ), and chip thickness ( $$t_{\text{chip}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>t</mml:mi> <mml:mtext>chip</mml:mtext> </mml:msub> </mml:math> ) are rigorously compared against experimental data from a series of orthogonal cutting tests with varying depths of cut ( $$a_{\text{p}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>a</mml:mi> <mml:mtext>p</mml:mtext> </mml:msub> </mml:math> ) and cutting speeds ( $$v_{\text{c}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>v</mml:mi> <mml:mtext>c</mml:mtext> </mml:msub> </mml:math> ). The simulation demonstrated strong qualitative agreement with the experimental trends, confirming its ability to capture the underlying process physics and providing a robust, validated foundation for the optimization of the diamond turning process for amorphous polymers in high-precision applications.

Nanomanufacturing and MetrologyVol. 9(1)
University of Bremen (DE), Leibniz-Institut für Werkstofforientierte Technologien - IWT (DE), Staats- und Universitätsbibliothek Bremen (DE)
Bundesministerium für Bildung und Forschung
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Advanced Surface Polishing Techniques
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