Experimental characterization of a hybrid impinging microjet-microchannel heat sink fabricated using high-volume metal additive manufacturing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A high-performance water-cooled micro heat sink for the thermal management of high heat flux microelectronics was designed, fabricated, and tested. The heat sink design leverages a multi- metal electrodeposition additive manufacturing process to produce complex flow which are impossible to fabricate with traditional processes. A previous study employed simulation-driven design to develop and optimize micro heat sinks and is a hybrid of microchannels with an array of integrated microjets. In the present investigation, a prototype heat sink was fabricated and tested at heat fluxes up to and exceeding 1000 W/cm2. The results demonstrate reasonable agreement between the numerical predictions and experimental results, considering the complex geometry flow and conjugate heat transfer within the device. From a thermal–hydraulic performance standpoint, the heat exchanger achieved an estimated overall thermal conductance of ~330 kW/m2K with a pressure drop of 160 kPa (23 psi) for a flow rate of 0.5 L/min. For inlet water at 20 °C, this corresponded to a measured base temperature of 54 °C at an applied heat flux of 1000 W/cm2. The hybrid microchannel–microjet heat sink further exhibited an enhancement ratio of 6 when compared with a microchannel heat exchanger of commensurate design. To the extent of our knowledge, this microfluidic heat exchanger has achieved one of the highest effective thermal conductance levels reported in the literature and has done so at moderate pressure drop and flow rate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it