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Updated: Jun 28, 2026
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Planar and Three-Dimensional Printing of Conductive Inks
Published on: December 9, 2011
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Numerical Prediction and Experimental Validation of Deposited Filaments in Direct Ink Writing: Deposition Status and
Yongqiang Tu1, Haoran Zhang1, Xue Shi2
1College of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China.
Polymers
|March 13, 2025
Summary
This study introduces an improved 3D numerical model to predict filament deposition in direct ink writing (DIW). It quantifies process parameter effects, identifying critical factors for controlling deposition status and printed part quality.
Area of Science:
- Materials Science
- Mechanical Engineering
- Additive Manufacturing
Background:
- Direct Ink Writing (DIW) quality depends on deposited filament characteristics.
- Previous research lacked quantitative analysis of process parameter impacts on DIW deposition.
- Accurate prediction of deposition behavior is crucial for optimizing DIW processes.
Purpose of the Study:
- To develop and validate an improved 3D numerical model for predicting DIW deposition status and filament profile dimensions.
- To quantitatively analyze the influence of process parameters on deposition outcomes.
- To identify critical parameters governing deposition behavior in DIW.
Main Methods:
- Development of an improved three-dimensional (3D) numerical model.
- Verification of the model's prediction accuracy through filament deposition experiments.
- Quantification of process parameter effects on deposition status and profile dimensions.
Main Results:
- The numerical model accurately predicts filament width and height with maximum relative errors of 10.13% and 7.37%, respectively.
- Critical process parameters, dimensionless nozzle velocity (V*) and dimensionless height (H*), were identified.
- Three distinct deposition statuses (over-deposition, pressed deposition, freeform deposition) were characterized based on V* and H*.
Conclusions:
- The proposed numerical model provides an effective approach for predicting DIW deposition status and profile dimensions.
- This work offers a quantitative understanding of process parameter effects in DIW.
- The findings enable better control over DIW processes for improved printed part quality.
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