A Practical Method for Redesigning Statistical Tolerances Using Monte Carlo Simulation

Peng, Heping; Peng, Zhuoqun

doi:10.1109/icmae.2018.8467654

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The assembly tolerance in RSS is the square root of the sum of the squares of the detail tolerances of the statistical tolerance analysis methods. Unlike the worst-case method based on the full interchangeability of parts in an assembly, the statistical method is based on the assumption that a reasonable percentage of non parts may occur [3].…”

Section: Fig 4 Manual Inspection Implemented and Investment On Inspmentioning

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 4 Manual Inspection Implemented and Investment On Inspmentioning

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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“…In further research a comprehensive study will also be made to analyze combined effect of all manufacturing errors occurring simultaneously. The most promising method for such analysis is the Monte-Carlo simulation [11].…”

Section: Span Of Impact Zonementioning

confidence: 99%

Using a 3D Model to Asses Projectile’s Impact Points Deviation Due to Manufacturing Errors

Trzun¹,

Andrić²,

Vrdoljak³

2019

DAAAM Proceedings

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The paper describes the use of a rocket's 3D CAD model to determine the effect of nondeterministic manufacturing errors on inertial characteristics of the observed rocket. A case study was performed for a chosen unguided rocket with well-known features. For this rocket a 3D model was made, allowing simulation of different manufacturing errors such as misalignment of rocket's components, deviation of mass distribution, shape, etc. The likelihood and the extent of a particular error are gathered either from literature or directly from the manufacturer. The analysis gives a relationship between errors in production and consequent change of the rocket's geometry and inertial characteristics. The observed results are further used to predict the effect of manufacturing errors on the rocket's flight and displacement of impact points.

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Monte Carlo Statistical Tolerance Analysis of a Parallel-Plate Multichip Power Module

Lester,

Cairnie,

DiMarino

2024

IEEE Trans. Power Electron.

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A Practical Method for Redesigning Statistical Tolerances Using Monte Carlo Simulation

Cited by 4 publications

References 14 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

Using a 3D Model to Asses Projectile’s Impact Points Deviation Due to Manufacturing Errors

Monte Carlo Statistical Tolerance Analysis of a Parallel-Plate Multichip Power Module

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