Wave Soldering Thermal Feedback for Real-Time Profile Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing SMT manufacturing systems face limitations in identifying key printing variables such as temperature and humidity, and in detecting defects like inter-metallic compounds, voids, and solder flux types, which can lead to PCB defects and increased manufacturing costs.
Innovation Solution
A self-correcting wave soldering machine equipped with thermal infrared cameras that generate thermal images to monitor, characterize, and predict processing temperatures, enabling real-time self-correction and optimization of heating profiles, flux dispensing, conveyor speed, and parallelism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thermal infrared cameras are added to monitor and characterize processing temperatures, then temperature measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a closed-loop feedback system where thermal infrared cameras continuously monitor processing temperatures, the controller compares measured temperatures against target values, and automatically adjusts heating elements to maintain optimal temperature profiles. This feedback mechanism resolves the contradiction by enabling precise temperature measurement and control while managing system complexity through automated regulation.
Solution Approach 2:
The patent replaces traditional mechanical temperature measurement methods (such as contact thermocouples) with optical-based thermal infrared cameras. This substitution eliminates the need for physical contact with the workpiece, allowing non-intrusive temperature monitoring across the entire processing area simultaneously, thereby improving measurement precision without proportionally increasing mechanical complexity.
2Manufacturing precision
If real-time temperature monitoring and self-correction systems are implemented, then manufacturing precision is improved, but use of energy increases
Solution Approach 1:
The patent implements dynamic temperature control where the heating system continuously adjusts its output based on real-time thermal feedback from infrared cameras. Rather than maintaining constant high energy input, the system dynamically modulates heating power to compensate for temperature variations, achieving precise manufacturing outcomes while optimizing energy consumption through adaptive regulation.
Solution Approach 2:
The system incorporates self-correcting capabilities where the controller automatically detects temperature deviations and initiates corrective heating actions without external intervention. This self-service mechanism maintains manufacturing precision by continuously self-regulating the thermal process, reducing the need for manual adjustments and optimizing energy use through autonomous control.
3Reliability
If multiple sensors and cameras are added to detect defects and characterize materials, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple sensing capabilities (thermal infrared imaging, visible light cameras, and material characterization sensors) into a unified multi-functional inspection system. These diverse sensors work together under a single controller that coordinates their operations and synthesizes their data, enabling comprehensive defect detection and material characterization while managing system complexity through integrated control architecture.
Solution Approach 2:
The patent combines multiple inspection functions (temperature monitoring, defect detection, and material characterization) into a single coordinated system. By merging these functions and sharing common infrastructure (power supply, control logic, data processing), the system achieves enhanced reliability through comprehensive monitoring while minimizing the incremental complexity that would result from entirely separate systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances the reliability and yield of PCBAs by accurately monitoring and correcting temperature variations, reducing defects, and optimizing the SMT process, thereby minimizing waste and rework.
Implementation Method 1
at least one thermal infrared camera disposed within the wave soldering machine that generates thermal images of the PCB so as to provide thermal imaging processing
Data Source
AI summary
A self-correcting wave soldering machine for soldering a RGB in an SMT manufacturing system. The wave soldering machine includes at least one thermal infrared camera that generates thermal images of the RGB so as to provide thermal imaging processing to monitor, characterize and predict processing temperatures. The wave soldering machine generates a heat map using the thermal images and compares the heat map to a thermal gradient to provide real time profiling by digitally connecting it to heating and other mechanically controlled systems, such as flux dispensing, conveyor speed and parallelism of the wave soldering machine.