A Monte-Carlo-based methodology for determining the fabrication yield of fibers for lasers

Ang, Shaun Wen-Wei; Seah, Chu Perng; Chua, Song-Liang

doi:10.1109/cleopr.2017.8119045

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…A total of 1000 iterations is sufficient to determine the means and the variations of the output variable, but it is not sufficient to determine the rejection percentage, where at least 10000 iterations Monte Carlo method is used in many other applications. It is used to determine the ation yields of complex fiber designs for lasers considering the fabrication tolerances [7], simulate assembly error in concentrator photovoltaic (CPV) array [8], and analysis of the effects that random manufacturing errors produce on the radiation diagram of resonant slotted waveguide linear antennas [9]. Monte Carlo simulations have been widely used in the reliability assessment of power electronics systems [10].…”

Section: Fig 5 Assembly Tolerance Analysis By Monte Carlo Simulationmentioning

confidence: 99%

Automotive Package Lead Pullback Elimination Using Monte Carlo Analysis for Determining Leadframe and Blade Design

Talledo¹,

Cabading²,

Real³

2021

JERR

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This study focuses on eliminating the lead pullback problem in an automotive quad flat no lead (QFN) package in order to meet the non-negotiable requirement to have a solder wettable or solderable lead sidewall. It involves using a non-traditional approach of Monte Carlo tolerance analysis to determine the final leadframe and singulation blade design solution. It was found out that the zero lead pullback could be achieved by reducing the leadframe lead to lead distance from 0.275 mm to 0.225 mm and increasing the blade thickness from 0.325 mm to 0.350 mm. Actual results from 10 line stressing lots all showed zero pullback validating the effectiveness of the final design and the use of Monte Carlo tolerance analysis technique. Costly investment for a lead pullback inspection system was avoided and the 100% manual inspection eliminated.

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Section: Fig 5 Assembly Tolerance Analysis By Monte Carlo Simulationmentioning

confidence: 99%

Automotive Package Lead Pullback Elimination Using Monte Carlo Analysis for Determining Leadframe and Blade Design

Talledo¹,

Cabading²,

Real³

2021

JERR

View full text Add to dashboard Cite

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A 67-86 GHz Spectrum-Efficient CMOS Transmitter Supporting 1024-QAM With a Process-Variation-Tolerant Design

et al. 2020

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This paper describes a direct-conversion E-band transmitter (TX) in 65-nm CMOS. To demonstrate the feasibility of E-band 1024-quadrature amplitude modulation (QAM), a 67 to 86 GHz direct-conversion CMOS transmitter with broadband image rejection is presented. The transmitter contains an I (in-phase) and Q (quadrature-phase) modulator and a five-stage power amplifier. To achieve a 40 dBc image-rejection ratio (IRR) of the I/Q modulator for E-band, a broadband half-quadrature generator (HQG), which contains a composite right/left-handed (CRLH) based divider, quadrature couplers, and baluns is proposed. For the purpose of minimizing the phase imbalance, phase balance lines are utilized in HQG to achieve a 1-degree phase accuracy under different tuning lines. Subsequently, the reflection can be mitigated by optimizing the impedance matching between the HQG and the mixer core. Meanwhile, because millimeter-wave (MMW) circuits are susceptible to process variations, a process-variation-tolerant design is introduced to mitigate IRR variation, especially under 40 dBc. The transmitter demonstrates a measured flat conversion gain (CG) of 23 ± 2 dB from 56 to 86 GHz. The proposed TX achieves an IRR better than 40 dBc from 67 to 86 GHz (bandwidth of 19 GHz) with a peak IRR of 56.2 dBc at 70 GHz. Furthermore, the proposed TX has exhibited a 6 bit/s/Hz spectral efficiency with 1024-QAM under the orthogonal frequency-division multiplexing (OFDM) modulation format. The 1.129 mm 2 E-band TX achieves a measured output power of 6.5 dBm with a total dc power consumption of 164 mW from a 1.2 V supply voltage. INDEX TERMS CMOS, E-band, half-quadrature generator (HQG), image-rejection ratio (IRR), millimeter-wave (MMW) integrated circuit, process-variation-tolerant design, transmitter (TX), 1024-quadrature amplitude modulation (QAM).

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A Monte-Carlo-based methodology for determining the fabrication yield of fibers for lasers

Cited by 2 publications

References 6 publications

Automotive Package Lead Pullback Elimination Using Monte Carlo Analysis for Determining Leadframe and Blade Design

Automotive Package Lead Pullback Elimination Using Monte Carlo Analysis for Determining Leadframe and Blade Design

A 67-86 GHz Spectrum-Efficient CMOS Transmitter Supporting 1024-QAM With a Process-Variation-Tolerant Design

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