Lead Free Material and Process Re-Qualification for a Rugged Handheld Terminal
Bibliographic record
Abstract
ABSTRACT The new EU RoHS regulations have mandated the removal of lead, amongst other materials, from all electronic products put onto the EU market. To ensure the continued quality of the new lead free solder joints and to compare the integrity and ruggedness of our products in the absence of these materials, we have performed a series of mechanical environmental tests. Those test results verified that lead free solder can continue to provide reliable circuit joints in harsh environments under drop/shock and vibration conditions. After reviewing the test results and weighing factors such as type, severity, quality and quantity of defects, we recommend the use of No Clean flux over Aqueous flux. SAC 305 or SAC 387 solder alloy are both acceptable. ENIG and Immersion Silver plating of the PCBs are both acceptable. This recommendation is based on the limited types of solder paste and PCB materials initially recommended for use by our EMS vendor. Similar qualification testing is recommended if other EMS vendors or solder paste manufacturers are to be used, as the test results show that the selected paste and processes may have influence on the ruggedness of our product.
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".