Assessment of Dimensional Fidelity in <scp>3D</scp> Printed <scp>PLA</scp> Casting Patterns via Laser Scanning

ABSTRACT Dimensional accuracy in 3D‐printed PLA patterns is critical in casting applications to ensure conformity between the printed model and the final cast component. This study investigates the influence of key fused deposition modeling (FDM) process parameters—layer height, printing temperature, printing speed, and scale factor—on the dimensional fidelity of PLA parts and also identifies the most influential parameters. A total of 27 samples were fabricated using a factorial combination of parameters, and high‐resolution laser scanning was employed to evaluate dimensional deviations against the nominal CAD model using mean deviation and standard deviation metrics. Statistical analysis through Analysis of Variance (ANOVA) identified printing temperature as the most significant factor affecting dimensional accuracy, while layer height and printing speed exhibited comparatively smaller effects within the tested range. The optimal parameter set 0.24 mm layer height, 200°C printing temperature, 60 mm/s printing speed, and 1.00% scale yielded minimal dimensional deviation and excellent repeatability. Validation tests confirmed the robustness of this configuration, demonstrating improved accuracy and reduced variability. The findings serve as a valuable reference for optimizing FDM print conditions, offering practical insights for enhancing dimensional precision in both prototype development and functional part manufacturing.

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Journal
Engineering Reports
Published
2025-10-01
DOI
https://doi.org/10.1002/eng2.70421
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
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article

Assessment of Dimensional Fidelity in 3D Printed PLA Casting Patterns via Laser Scanning

Nandam Ashok, Manjunath G. Avalappa, Mukesh Kumar, Anand S. Deshpande et al.
Engineering Reports
Additive Manufacturing and 3D Printing Technologies
article

Assessment of Dimensional Fidelity in 3D Printed PLA Casting Patterns via Laser Scanning

Nandam Ashok, Manjunath G. Avalappa, Mukesh Kumar, Anand S. Deshpande, Jeevan Tamalapura Puttaswamy
article en

Abstract

ABSTRACT Dimensional accuracy in 3D‐printed PLA patterns is critical in casting applications to ensure conformity between the printed model and the final cast component. This study investigates the influence of key fused deposition modeling (FDM) process parameters—layer height, printing temperature, printing speed, and scale factor—on the dimensional fidelity of PLA parts and also identifies the most influential parameters. A total of 27 samples were fabricated using a factorial combination of parameters, and high‐resolution laser scanning was employed to evaluate dimensional deviations against the nominal CAD model using mean deviation and standard deviation metrics. Statistical analysis through Analysis of Variance (ANOVA) identified printing temperature as the most significant factor affecting dimensional accuracy, while layer height and printing speed exhibited comparatively smaller effects within the tested range. The optimal parameter set 0.24 mm layer height, 200°C printing temperature, 60 mm/s printing speed, and 1.00% scale yielded minimal dimensional deviation and excellent repeatability. Validation tests confirmed the robustness of this configuration, demonstrating improved accuracy and reduced variability. The findings serve as a valuable reference for optimizing FDM print conditions, offering practical insights for enhancing dimensional precision in both prototype development and functional part manufacturing.

Engineering ReportsVol. 7(10)
Shri Dharmasthala Manjunatheswara College of Ayurveda and Hospital (IN), Asossa University (ET), Vivekananda Global University (IN), D.Y. Patil Education Society (IN), D.Y. Patil University (IN), Visvesvaraya Technological University (IN)
Openalex Percentile: Top 70%
Additive Manufacturing and 3D Printing Technologies
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Assessment of Dimensional Fidelity in <scp>3D</scp> Printed <scp>PLA</scp> Casting Patterns via Laser Scanning — Nandam Ashok, Manjunath G. Avalappa, et al. · Engineering Reports (2025) | TGRS Research Map | TGRS