Resistance Spot Welding Cell With Digital Twin Force Control
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Solution Overview
Problem
Current resistance spot welding cells face challenges in maintaining predictable and controllable quality due to variations in environmental conditions, electrode wear, and inadequate clamping force control, leading to poor weld quality and increased complexity in data processing and equipment load.
Innovation Solution
The implementation of a welding cell with a digital twin controller, data transmission priority manager, and efficient data processing systems, including clamping force sensors and a data compressor, to optimize electrode movement and data transmission, reducing the computational load and improving welding precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional welding control systems are used, then equipment complexity is reduced, but welding quality consistency deteriorates due to inadequate clamping force control and lack of real-time monitoring
Solution Approach 1:
The patent implements a digital twin controller that receives real-time data from clamping force sensors and uses this feedback to dynamically adjust welding parameters. The system continuously monitors actual clamping force and compares it with target values, automatically correcting deviations to maintain consistent weld quality. This closed-loop feedback mechanism resolves the contradiction by enabling precise quality control through real-time monitoring and adjustment.
Solution Approach 2:
The patent creates a digital twin—a virtual replica of the physical welding system—that mirrors the actual welding cell's behavior, parameters, and state. This digital model allows for real-time simulation, prediction, and optimization of welding processes without affecting the physical system. The digital twin enables sophisticated quality control and parameter optimization while keeping the physical control system relatively simple.
2Reliability
If comprehensive data collection from multiple sensors is implemented, then welding process monitoring is improved, but computational load and data processing complexity increase
Solution Approach 1:
The patent extracts and prioritizes only the most critical data elements from the comprehensive sensor data stream for real-time processing by the digital twin controller. Instead of processing all available data equally, the system identifies and focuses on key parameters such as clamping force, temperature, and welding current that directly impact weld quality. This selective data extraction reduces computational load while maintaining reliable monitoring of essential welding parameters.
Solution Approach 2:
The patent dynamically adjusts data sampling rates, resolution, and transmission frequencies based on the welding process state and priority. During critical welding phases, the system increases monitoring frequency and detail, while during less critical phases, it reduces data collection intensity. This adaptive parameter adjustment optimizes the balance between monitoring reliability and computational energy consumption.
3Manufacturing precision
If real-time clamping force control is implemented, then welding quality is improved, but equipment complexity and sensor requirements increase
Solution Approach 1:
The patent designs the digital twin controller to perform multiple functions: it serves as both a monitoring system and a control system, integrating both sensing data processing and actuator control in a single unified platform. The controller not only monitors clamping force but also automatically adjusts welding parameters, predicts quality outcomes, and provides real-time feedback. This multi-functional approach improves clamping force control precision while avoiding the need for separate complex monitoring and control systems.
4Productivity
If traditional data transmission methods are used, then equipment load is reduced, but data processing efficiency and welding precision deteriorate
Solution Approach 1:
The patent implements preliminary data processing and filtering at the sensor level and edge devices before data reaches the central digital twin controller. Data is pre-processed, validated, and prioritized at the source, with only essential and time-critical information transmitted to the central system. This preliminary action reduces the computational burden on main equipment while improving overall data processing efficiency and enabling faster response times for quality-critical parameters.
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
This solution enhances welding cell performance by ensuring consistent weld quality, reducing computational requirements, and decreasing equipment load, thereby increasing the number of suitable weld spots and reducing operational costs.
Implementation Method 1
at least one movable electrode driven by a linear electromechanical actuator (hereinafter, EMA)
Implementation Method 2
the prescribed electric current is passed to a transformer located on the welding gun. The transformer amplifies the current to thousands of amperes
Implementation Method 3
passes the current through the electrodes, in particular, through caps on the ends thereof that contact the workpieces, and through the workpieces, which causes local heating, melts the metal in the clamped area and forms a weld nugget
Implementation Method 4
a water supply device is used, which pumps a cold water through tubes on the welding gun connected to the electrodes and transformer
Data Source
AI summary
A welding cell for a resistance spot welding, its use for resistance spot welding, and a welding method performed therewith are disclosed. The welding cell includes a system for implementing resistance spot welding technology, a data collecting system, a system for improving efficiency of data collection, and a processing, monitoring, and control system. The welding cell includes a data transmission priority manager for adjusting digit capacity, transmission rate and transmission frequency of the digitized signal, separately, for signals of each sensor, and a digital twin controller, which, based on the digitized signal, provides a control signal to the control unit for controlling the electromechanical actuators and moving the electrodes of the welding cell. The welding cell provides for resistance spot welding with predictable and controllable quality, increased performance and reduced requirements to the computing unit performance of the welding cell, and reduced costs for equipping the welding cell.