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Record W4368372808 · doi:10.4071/001c.74631

A Novel Printed Circuit Board Laminate for High Frequency Electronics

2023· article· en· W4368372808 on OpenAlexaff
James Lin, Geraint Owen, Tim Orsley

Bibliographic record

VenueIMAPSource Proceedings · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsResearch & Development Corporation
Fundersnot available
KeywordsMaterials scienceDissipation factorPrinted circuit boardComposite materialDielectricPermittivityDielectric lossFlangeRelative permittivityTangentTransverse planeConductivityOptoelectronicsElectrical engineeringStructural engineeringGeometry

Abstract

fetched live from OpenAlex

A novel PCB material that is advantaged at the 10-100+ GHz range has been developed. It consists of a 3 layer laminate, nominally with a total thickness of 140 microns, and individual laminates can be stacked to make multilayer boards. The outer two layers of the laminate consist of the polymer Topas, 50 microns thick and the middle layer is Corning’s ribbon alumina, 40 microns thick. For brevity, the laminate is called “TAT”. The permittivities of the Topas and alumina are 2.5 and 10 respectively, and that of the 50/40/50 TAT laminate is 3.2 in a direction transverse to the plane of the laminate. The individual loss tangents are about 0.0002, and the loss tangent of the TAT laminate has about the same value. Thus, TAT has significantly lower loss with a lower effective permittivity than other PCB materials currently available. These dielectric properties have been measured experimentally at 10 and 15 GHz. The permittivity and loss tangents can also be predicted accurately using extremely simple analytical formulae. This makes predicting the properties of TAT structures with different dimensions very easy. A TAT strip line has been modeled and found to have an effective permittivity of 2.3. The machining of TAT is somewhat incompatible with conventional PCB shop practice. However, laser drilling and cutting are perfectly practicable. In-house processes have been successfully developed, and an external vendor has also developed these capabilities. Copper sheet adheres strongly to the TAT, and the conductivity of the resulting traces is high. Boards for a 77 GHz radar demonstrate the manufacturability of TAT. Mechanical testing of TAT has been carried out, and the measured flexural modulus and stress at failure compare well with calculations. Environmental tests at 80 °C and 80% humidity indicate that TAT is quite robust. Moreover, it is quite possible that TAT itself may satisfy the UL94 criteria, since the alumina may act as a flame retardant. The feasibility of loading Topas with ceramic or fluoropolymer powders to reduce flammability has been investigated, and it has been found that the addition of these powders causes negligible dielectric loss. In summary, laminates of this type are plausible extreme low loss candidates for PCBs for very advanced applications such as 5G and 6G devices.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.018
GPT teacher head0.229
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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