Development and Application of a Press-PIN/PTH Reliability Model
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".