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Related Experiment Video

Updated: Jul 18, 2025

Temperature-Controlled Assembly and Characterization of a Droplet Interface Bilayer

Temperature-Controlled Assembly and Characterization of a Droplet Interface Bilayer

Published on: April 19, 2021

Variable-Structure Proportional-Integral-Derivative Laser Solder Joint Temperature Intelligent Control Method with

Mingchao Li¹, Pengbin Cao¹, Cong Zhang¹

¹School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

|August 26, 2023

Summary

This study introduces an intelligent control method for laser soldering temperature. The advanced system enhances soldering quality and production efficiency with precise temperature regulation.

Keywords:

adjustable power upper limit electronic assembly laser soldering parameter optimization solder joint temperature variable-structure PID

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Last Updated: Jul 18, 2025

Temperature-Controlled Assembly and Characterization of a Droplet Interface Bilayer

Temperature-Controlled Assembly and Characterization of a Droplet Interface Bilayer

Published on: April 19, 2021

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

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Published on: May 15, 2017

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

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Published on: February 4, 2018

Area of Science:

Materials Science and Engineering
Control Systems Engineering
Robotics and Automation

Background:

Laser soldering is vital for electronic assembly, with solder joint temperature directly impacting quality.
Precise temperature control is essential for consistent and high-quality solder joints in automated manufacturing.

Purpose of the Study:

To develop and validate an intelligent control method for precise solder joint temperature regulation during laser soldering.
To improve soldering quality and production efficiency using an adaptive control strategy.

Main Methods:

Implementation of an adjustable power upper limit variable-structure Proportional-Integral-Derivative (PID) intelligent control system.
Utilizing an infrared thermometer for real-time solder joint temperature monitoring and closed-loop control.
Employing Residual Neural Network (ResNet) models for predicting critical soldering process parameters.

Main Results:

The proposed method demonstrated effective closed-loop temperature control for laser soldering.
The system exhibited low overshoot, rapid dynamic response, and quick adjustment capabilities.
Validation on a practical platform confirmed enhanced soldering quality and improved production efficiency compared to existing methods.

Conclusions:

The developed variable-structure PID intelligent control method offers a significant advancement in laser soldering temperature management.
This approach enhances the reliability and efficiency of electronic assembly processes.
The integration of ResNet for parameter prediction further optimizes the laser soldering process.