A coupled thermo-mechanical framework for modeling and compensating workspace-dependent thermal errors in gantry-type FDM printers

Thermal errors in fused deposition modeling (FDM) machines can reduce dimensional accuracy by altering the nozzle position due to non-uniform heating of the nozzle and the build platform. While previous studies have mainly emphasized part distortion, the workspace-dependent thermal deformation of the printer structure has received less attention. This study develops a coupled thermo-mechanical framework to model, validate, and compensate position-dependent thermal errors in a gantry-type FDM 3D printer. A finite element model was used to predict the temperature field and the resulting Z-direction nozzle displacement at 27 locations distributed over three measurement planes within the build volume. Experimental validation was carried out using a laser displacement sensor. The simulated and experimental results agree well, with deviations generally within 3%–5%, confirming the reliability of the proposed model. The model achieved an MAE of 2.51 µm and an RMSE of 2.54 µm. Linear regression between the numerical predictions and experimental measurements yielded an R 2 value of 0.992, indicating excellent agreement between the simulation and experimental results. Furthermore, the 95% confidence interval of the mean prediction error was 2.34 to 2.67 µm, demonstrating the robustness and consistency of the proposed model. The sensitivity analysis reveals that the heat bed temperature is the dominant factor influencing thermal deformation, with a sensitivity of 4.091 µm/°C. In comparison, the nozzle temperature exhibits moderate sensitivity (0.85 µm/°C), while the convection coefficient (20–40 W/m 2 K) shows a limited influence within the investigated range. These findings highlight that precise control of the heated bed temperature is essential for minimizing thermal deformation and improving printing accuracy. Based on the validated deformation field, a position-dependent compensation strategy is proposed to improve dimensional accuracy and support future real-time thermal error correction in FDM systems.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Published
2026-09-04
DOI
https://doi.org/10.1177/09544054261483453
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A coupled thermo-mechanical framework for modeling and compensating workspace-dependent thermal errors in gantry-type FDM printers

Tzu-Chi Chan, Ratnakar Behera
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Additive Manufacturing and 3D Printing Technologies
article

A coupled thermo-mechanical framework for modeling and compensating workspace-dependent thermal errors in gantry-type FDM printers

Tzu-Chi Chan, Ratnakar Behera
article en

Abstract

Thermal errors in fused deposition modeling (FDM) machines can reduce dimensional accuracy by altering the nozzle position due to non-uniform heating of the nozzle and the build platform. While previous studies have mainly emphasized part distortion, the workspace-dependent thermal deformation of the printer structure has received less attention. This study develops a coupled thermo-mechanical framework to model, validate, and compensate position-dependent thermal errors in a gantry-type FDM 3D printer. A finite element model was used to predict the temperature field and the resulting Z-direction nozzle displacement at 27 locations distributed over three measurement planes within the build volume. Experimental validation was carried out using a laser displacement sensor. The simulated and experimental results agree well, with deviations generally within 3%–5%, confirming the reliability of the proposed model. The model achieved an MAE of 2.51 µm and an RMSE of 2.54 µm. Linear regression between the numerical predictions and experimental measurements yielded an R 2 value of 0.992, indicating excellent agreement between the simulation and experimental results. Furthermore, the 95% confidence interval of the mean prediction error was 2.34 to 2.67 µm, demonstrating the robustness and consistency of the proposed model. The sensitivity analysis reveals that the heat bed temperature is the dominant factor influencing thermal deformation, with a sensitivity of 4.091 µm/°C. In comparison, the nozzle temperature exhibits moderate sensitivity (0.85 µm/°C), while the convection coefficient (20–40 W/m 2 K) shows a limited influence within the investigated range. These findings highlight that precise control of the heated bed temperature is essential for minimizing thermal deformation and improving printing accuracy. Based on the validated deformation field, a position-dependent compensation strategy is proposed to improve dimensional accuracy and support future real-time thermal error correction in FDM systems.

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
National Formosa University (TW)
Openalex Percentile: Top 18%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.