Modeling and Analysis of Silver-Sintered Molybdenum Packaging for SiC Power Modules With Improved Lifetime and Temperature Range
Bibliographic record
Abstract
With the application of wide bandgap devices, the packaging technology of power modules is faced with elevated challenges. This paper proposes a new packaging concept for silicon carbide power modules. The main objective is to improve the lifetime and temperature range, while the proposed packaging also has the potential to reduce stray inductance and simplify the fabrication process. In the proposed concept, sintered nano-silver is selected as the die bonding. The conventional direct-bonded-copper substrate is replaced by a molybdenum layer and a bismaleimide triazine resin layer which has a low thermal expansion coefficient. A steady-state thermal-mechanical analysis is conducted to verify the material selection. Furthermore, a transient thermal-mechanical analysis based on JEDEC temperature cycling methods is carried out, whose results are applied in the Coffin-Manson lifetime model to evaluate the advantages of the proposed Silver-Sintered Molybdenum Packaging. The results demonstrated that the proposed packaging technology could improve the lifetime by over 1000 times and increase the maximum operating temperature by nearly 3 times. Finally, a feasible process of sintering SiC chips on molybdenum substrates is proposed, which achieves a uniform and low porosity bonding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".