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Record W2970612034 · doi:10.1109/ectc.2019.00-14

Room-Temperature Bonding with Pd Coated Cu Wire on Al Pads: Ball Bond Optimization with 2-Stage Methodology

2019· article· en· W2970612034 on OpenAlexaff
Nicholas Kam, Michael David Hook, Celal Con, Karim S. Karim, M. Mayer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsKamloops Art GalleryUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceWire bondingInterconnectionBall (mathematics)AmplitudeComposite materialUltrasonic sensorElectrical engineeringChipOpticsAcoustics

Abstract

fetched live from OpenAlex

Wirebonding performed at elevated temperatures is the standard interconnect process for integrated circuits, typically with the use of low-cost copper bonding wire. However, for specific applications it is necessary for wire bonds to be reliably joined at room-temperature. This paper details the development of a room-temperature ball bonding process using a 2-stage optimization method. The first stage optimizes ball geometry by applying a 32 design of experiment to bonding parameters impact force (IF) and electric flame-off (EFO) current. In the second stage bond shear strength is optimized by stepwise increase in ultrasonic amplitude. Target ball bond values were attained at optimized parameters: IF of 1331 mN, EFO current of 59.9 mA, and an ultrasonic amplitude of 26.46 US%. Pad lift during bonding was observed at excessive ultrasonic amplitudes above 40 US%, as determined by optical images at the bond interface. Bonding parameters at room-temperature (23°C) were increased when compared to a high temperature process (175°C) to account for reduced thermal energy. For the same geometry at room-temperature a 7 % increase to impact force was required. EFO current levels remained relatively constant between the two bonding temperatures. For the same shear strength at room-temperature a 18 % increase in ultrasound amplitude was required. The confirmed average shear strength achieved via the room-temperature process was 116 MPa. Higher values are possible.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.234
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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