A Simplified Method for Analyzing PCB Warpage During Reflow: Focusing on Warpage Change and Initial Warpage Shape

Printed circuit boards (PCBs) often experience warpage during reflow soldering due to thermal stresses. This study presents a simplified approach to analyze PCB warpage by focusing on warpage change instead of absolute warpage. Absolute warpage is difficult to simulate accurately due to challenges in defining temperature loads, boundary conditions, and the zero stress-strain temperature. Warpage change, which compares warpage at elevated temperatures (e.g., 150°C) with a baseline (30°C), isolates thermal deformation and simplifies the simulation process. The study also introduces an image processing method to accurately identify the Cu distribution in each PCB layer, which is critical for determining material properties. Using finite element modeling (FEM) and incorporating both Cu distribution and initial warpage, this method provides more consistent and reliable warpage predictions. Simulation and experimental results demonstrate that warpage change is a more effective metric for evaluating PCB thermal deformation, offering valuable insights for improving PCB design and manufacturing.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Components Packaging and Manufacturing Technology
Published
2025-05-16
DOI
https://doi.org/10.1109/tcpmt.2025.3570867
Citations
3
Primary Topic
Material Properties and Processing
Type
article
Field-Weighted Citation Impact
2.59

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Simplified Method for Analyzing PCB Warpage During Reflow: Focusing on Warpage Change and Initial Warpage Shape

Dayuan Wan, Chunmin Cheng, Jinyong Li, Sheng Liu et al.
3 citations
IEEE Transactions on Components Packaging and Manufacturing Technology
Material Properties and Processing
2.59
article

A Simplified Method for Analyzing PCB Warpage During Reflow: Focusing on Warpage Change and Initial Warpage Shape

Dayuan Wan, Chunmin Cheng, Jinyong Li, Sheng Liu, Wei Shen, Kang Liang, Daowei Wu, Z.N. Lei
article en
3 citations

Abstract

Printed circuit boards (PCBs) often experience warpage during reflow soldering due to thermal stresses. This study presents a simplified approach to analyze PCB warpage by focusing on warpage change instead of absolute warpage. Absolute warpage is difficult to simulate accurately due to challenges in defining temperature loads, boundary conditions, and the zero stress-strain temperature. Warpage change, which compares warpage at elevated temperatures (e.g., 150°C) with a baseline (30°C), isolates thermal deformation and simplifies the simulation process. The study also introduces an image processing method to accurately identify the Cu distribution in each PCB layer, which is critical for determining material properties. Using finite element modeling (FEM) and incorporating both Cu distribution and initial warpage, this method provides more consistent and reliable warpage predictions. Simulation and experimental results demonstrate that warpage change is a more effective metric for evaluating PCB thermal deformation, offering valuable insights for improving PCB design and manufacturing.

IEEE Transactions on Components Packaging and Manufacturing TechnologyVol. 15(7)
Wuhan University of Technology (CN), Southern University of Science and Technology (CN), Beijing Microelectronics Technology Institute (CN)
National Natural Science Foundation of China, Open Fund of Key Laboratory of Sediment Research, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 11%
Material Properties and Processing
2.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.