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Optimal Dummy Pattern Design Method for PWB Warpage Control Using the Human-Based Genetic Algorithm.

Sun Kyoung Kim¹, Sang-Hyuk Lee¹

¹Department of Mechanical System Design Engineering, Seoul National University of Science and Technology, Seoul 02421, Korea.

|August 29, 2020

Summary

This summary is machine-generated.

This study introduces a novel method to minimize printed wiring board (PWB) warpage using dummy pattern design. An optimization approach successfully identified dummy patterns that significantly reduce PWB warpage, validated by simulations and measurements.

Keywords:

electronic package genetic algorithm (GA)printed wiring board (PWB)simulation warpage

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Area of Science:

Materials Science
Mechanical Engineering
Electrical Engineering

Background:

Printed wiring board (PWB) warpage is a critical issue affecting electronic device reliability and performance.
Current methods for warpage reduction are often insufficient or lack systematic optimization.
Dummy pattern design presents a potential solution for mitigating PWB warpage.

Purpose of the Study:

To propose and validate a novel method for minimizing PWB warpage through strategic dummy pattern design.
To develop an optimization framework for determining the optimal placement and configuration of dummy patterns.
To assess the effectiveness of the proposed method using numerical simulations and experimental measurements.

Main Methods:

A discretization approach was used to define candidate locations for dummy patterns on the PWB.
Numerical simulations, based on direct modeling of PWB patterns, were employed to evaluate warpage.
A human-based genetic algorithm was utilized to optimize dummy pattern placement, with structural simulation evaluating the objective function.
The optimization process was implemented in a scriptable spreadsheet environment for efficient input/output management.

Main Results:

The proposed method successfully identified optimal dummy patterns that minimize PWB warpage in tested cases.
Simulated warpage predictions showed strong agreement with measured deflections.
The optimization framework demonstrated its capability to find dummy pattern designs that effectively reduce warpage.

Conclusions:

The dummy pattern design method offers an effective strategy for PWB warpage reduction.
The integration of genetic algorithms and structural simulation provides a powerful tool for optimizing PWB manufacturing processes.
This approach facilitates the development of more reliable and dimensionally stable printed wiring boards.