Experimental investigation and analytical prediction of viscoelastic behavior of additively manufactured (AM) acrylonitrile butadiene styrene (ABS) parts

Purpose This study aims to characterize temperature (−130°C to 130°C) and strain-rate (0.00352–3520 s−1) dependent viscoelastic behavior of material extrusion (MEX)-fabricated acrylonitrile butadiene styrene, and develops hybrid decompose/shift/gap-reduction-ratio/reconstruct (DSGR) predictive model to capture storage modulus evolution and extend reliable predictions for demanding service conditions. Design/methodology/approach Thermal transitions are characterized using differential scanning calorimetry (DSC) to establish a processing-relevant thermal baseline. Viscoelastic behavior is measured through dynamic mechanical analysis at 0.1, 1 and 10 Hz (3.52 × 10−3, 3.52 × 10−2 and 3.52 × 10−1 s−1) to capture α- and β-relaxations with strain-rate-dependent shifts. Predictions beyond these ranges are made using decompose/shift/reconstruct (DSR) and new hybrid DSGR methods, which are validated against additional 100 Hz experiments. Findings Thermal characterization reveals glass transition at 107.5°C (heating) and 113.8°C (cooling), exhibiting hysteresis and enthalpic recovery from frozen-in stresses. Viscoelastic characterization identifies strain-rate-dependent shifts in α-transition (106.1°C → 117.8°C) and β-transition (−73.5°C → −65.0°C) with storage modulus drop by three orders of magnitude across α and by approximately 1.1 GPa across β. A hump/peak in storage modulus confirms stress-release consistent with DSC. DSR shows high accuracy outside Tg (R = 0.9977, AARE = 7.4%) while within Tg, newly developed GR model captures hump/peak (R = 0.9895, AARE = 3.62%). Hybrid DSGR framework integrates GR and DSR, which achieves high accuracy (R = 0.9954, AARE = 6.90%) across full temperature domain and extends predictions up to 3250 s¹. Originality/value DSGR provides a robust predictive framework that links thermal history with viscoelastic performance and allows accurate prediction across broad temperature and strain-rate regimes that can be further applied for design of MEX components from rigid load-bearing to impact-resistant applications.

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Publication Details

Journal
Rapid Prototyping Journal
Published
2026-01-15
DOI
https://doi.org/10.1108/rpj-04-2025-0153
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
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article

Experimental investigation and analytical prediction of viscoelastic behavior of additively manufactured (AM) acrylonitrile butadiene styrene (ABS) parts

Pavan Kumar Gurrala, Nirav P. Patel, Chitralekha Nahar
Rapid Prototyping Journal
Additive Manufacturing and 3D Printing Technologies
article

Experimental investigation and analytical prediction of viscoelastic behavior of additively manufactured (AM) acrylonitrile butadiene styrene (ABS) parts

Pavan Kumar Gurrala, Nirav P. Patel, Chitralekha Nahar
article en

Abstract

Purpose This study aims to characterize temperature (−130°C to 130°C) and strain-rate (0.00352–3520 s−1) dependent viscoelastic behavior of material extrusion (MEX)-fabricated acrylonitrile butadiene styrene, and develops hybrid decompose/shift/gap-reduction-ratio/reconstruct (DSGR) predictive model to capture storage modulus evolution and extend reliable predictions for demanding service conditions. Design/methodology/approach Thermal transitions are characterized using differential scanning calorimetry (DSC) to establish a processing-relevant thermal baseline. Viscoelastic behavior is measured through dynamic mechanical analysis at 0.1, 1 and 10 Hz (3.52 × 10−3, 3.52 × 10−2 and 3.52 × 10−1 s−1) to capture α- and β-relaxations with strain-rate-dependent shifts. Predictions beyond these ranges are made using decompose/shift/reconstruct (DSR) and new hybrid DSGR methods, which are validated against additional 100 Hz experiments. Findings Thermal characterization reveals glass transition at 107.5°C (heating) and 113.8°C (cooling), exhibiting hysteresis and enthalpic recovery from frozen-in stresses. Viscoelastic characterization identifies strain-rate-dependent shifts in α-transition (106.1°C → 117.8°C) and β-transition (−73.5°C → −65.0°C) with storage modulus drop by three orders of magnitude across α and by approximately 1.1 GPa across β. A hump/peak in storage modulus confirms stress-release consistent with DSC. DSR shows high accuracy outside Tg (R = 0.9977, AARE = 7.4%) while within Tg, newly developed GR model captures hump/peak (R = 0.9895, AARE = 3.62%). Hybrid DSGR framework integrates GR and DSR, which achieves high accuracy (R = 0.9954, AARE = 6.90%) across full temperature domain and extends predictions up to 3250 s¹. Originality/value DSGR provides a robust predictive framework that links thermal history with viscoelastic performance and allows accurate prediction across broad temperature and strain-rate regimes that can be further applied for design of MEX components from rigid load-bearing to impact-resistant applications.

Rapid Prototyping Journal
Pandit Deendayal Energy University (IN)
Openalex Percentile: Top 88%
Additive Manufacturing and 3D Printing Technologies
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