| Literature DB >> 35540457 |
Xiaokang Yan1, Chao Wang2, Wei Xiong1, Tongwei Hou3, Liang Hao1, Danna Tang1.
Abstract
To explore the thermal debinding mass transfer mechanism and dynamics of an innovative copper paste injection 3D printing method, the thermal behavior of the copper paste was investigated to clarify the stages of the debinding process. Furthermore, the debinding ratio, burnout ratio, shrinkage and microstructures were characterized to study the mass transfer channel and dynamics. The dynamics equation of diffusion mass transfer was analyzed. The activation energy and pre-exponential factor were calculated. The results revealed that gas phase mass transfer was the main mass transfer path and the diffusion coefficient in the carbon powder embedded environment (2.68 × 10-5 cm2 s-1) was higher than that in air atmosphere (1.96 × 10-5 cm2 s-1). Moreover, the migration of solid phase materials and the diffusion of atoms are also discussed. When combined with the sintering process, the sintered metal parts had a smooth surface flatness and excellent metallurgical bonding, the thin wall of which was only 340 μm thick. This journal is © The Royal Society of Chemistry.Entities:
Year: 2018 PMID: 35540457 PMCID: PMC9078878 DOI: 10.1039/c7ra13149f
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 3.361
Fig. 1The experimental method and printing process.
Fig. 2Debinding mechanism and dynamics analysis: (a) TG–DTA curve of the sample; (b) debinding ratio curve of the sample; (c) fitting curve between ln(1/F) and t/Ψ2.
Diffusion coefficient
| Deb. environment | Carbon | Air |
|---|---|---|
|
| 2.68 | 1.96 |
| Adj. R-Squa. | 0.971 | 0.97 |
Fig. 3Calculation of activation energy and pre-exponential factor: (a) the thermogravimetric and weight loss rate curves for the copper paste; (b) the fitting curve between and 1/T.
Activation energy and pre-exponential factor
| Dynamics parameters |
|
| Adj. R-Square |
|---|---|---|---|
| Value | 43.57 | 4989 | 0.9121 |
Fig. 4Analysis of the migration of solid phase materials and mass transfer model: (a) burnout ratio curve of the sample; (b) shrinkage curve of the sample. (c) Mass transfer model.
Fig. 5SEM images of microstructures of samples at different debinding temperatures.
Fig. 6The performance of sintered part: (a) sintered samples; (b) SEM images of sintered samples with energy spectral analysis.