Development and Application of a Press-PIN/PTH Reliability Model
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Press-pin/plated-trough-hole (PP/PTH) technology has been utilized in the electronic systems for more than 25 years [1]. It replaces traditional through-hole wave soldering for board attachments and is widely used in the connector industry. Many researchers have been studying mechanical and electrical reliability of PP/PTH interconnection [1,2,3]. The research tools varied from experimental testing to finite element (FE) numerical model development [3,4,5]. Most of the published literature on PP/PTH studies uses two-dimensional (2D) FE models that are limited and simplified, not fully capturing the interaction physics [6]. Developing a three-dimensional (3D) model could be more accurate in predicting their interactions and reliability, as the PP/PTH assembly is inherently 3D in nature [6]. A team composed of Georgia Institute of Technology and Hewlett Packard Company personnel has developed a 3D FE model of the PP/PTH assembly as a joint venture over the past few years. In this work, a combined numerical and experimental program addresses some of the design challenges including complex geometry, PTH sizes, and material non-linearities. Analytically, a parametric model was developed in ANSYS. Experimentally, two different types of pins have been assessed for reliability under three different PTH surface finishes and three different drilled-hole-sizes (DHS). This model can be used to make design decisions involving: Simulating and predicting insertion/extraction forces for the PP in the PTH. Predicting and visualizing the damage to PTH walls due to the compliant pin interactions. Predicting thermo-mechanical reliability of PP/PTH assembly. This paper will explain, in detail, construction of the 3D PP/PTH model, the model physics, experimental validations conducted, and the results obtained. And finally, it will describe the ongoing and future work planed to make the model more useful.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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