Wire-Laser Additive Manufacturing With Real-Time Weld Stabilization
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Solution Overview
Problem
Hybrid machine tools face challenges in maintaining stable welding processes during additive manufacturing, particularly in detecting and correcting failure modes such as excessive arcing, non-linear wire feed, sagging of additive surfaces, and inadequate bead penetration, which affect the precision and quality of the workpiece geometry.
Innovation Solution
The implementation of a controller system that monitors weld parameters and adjusts the wire feed rate, resistive heating, and laser power in real-time to stabilize the welding process, enabling dynamic control of the additive head to ensure precise welding and machining of workpieces with predetermined dimensions and metallurgical properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time monitoring and dynamic adjustment of wire feed rate, heater power, and laser power are implemented, then welding process stability and workpiece geometry precision are improved, but device complexity and control system complexity increase
Solution Approach 1:
The controller continuously monitors weld parameters (wire feed rate, heater power, laser power) and automatically adjusts these parameters in real-time based on detected deviations from target values. This closed-loop feedback control stabilizes the welding process and maintains precise workpiece geometry without requiring manual intervention or complex mechanical modifications to the additive head assembly.
Solution Approach 2:
The patent replaces complex mechanical adjustment mechanisms with an automated control system that uses sensors and electronic actuators to dynamically adjust welding parameters. This substitution of mechanical systems with electronic control reduces physical complexity while improving precision through software-based parameter optimization.
2Reliability
If dynamic control of wire feed rate, resistive heating, and laser power is implemented to stabilize welding, then welding process reliability is improved, but energy consumption and operational complexity increase
Solution Approach 1:
The controller performs periodic monitoring of weld parameters and makes incremental adjustments at optimized intervals rather than continuous full-power operation. This periodic control approach maintains welding stability while reducing overall energy consumption compared to sustained high-energy input.
Solution Approach 2:
The system dynamically changes operational parameters (wire feed rate, heater power, laser power) based on real-time welding conditions. By optimizing these parameters continuously, the system maintains reliable welding with minimum necessary energy input, avoiding both under-heating and excessive energy consumption.
3Manufacturing precision
If multiple failure modes are monitored and corrected simultaneously, then manufacturing precision and process control are improved, but measurement and detection difficulty increase
Solution Approach 1:
The controller is designed as a multi-functional system that simultaneously monitors multiple weld parameters (wire feed rate, heater power, laser power) and detects multiple failure modes (excessive arcing, non-linear wire feed, sagging, inadequate penetration) using a single integrated control platform. This universal approach simplifies detection complexity compared to using separate specialized systems for each parameter.
Solution Approach 2:
The system uses feedback from sensors monitoring various weld characteristics to automatically identify and correct multiple failure modes simultaneously. The feedback loop integrates information from multiple sources and coordinates adjustments across multiple parameters, making complex multi-mode detection manageable through systematic control.
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 allows for precise control of the welding process, improving the accuracy of workpiece geometry, tool life, and surface finish, enabling the production of parts with complex geometries and desired properties, while reducing the need for custom tooling and fixtures.
Implementation Method 1
a wire heater configured to apply resistive heating to heat the wire
Implementation Method 2
an additive head for emitting a laser beam to weld the wire to a substrate
Data Source
AI summary
An additive manufacturing machine that includes a wire supply including a wire drive configured to advance a wire at a wire feed rate and a wire heater configured to apply resistive heating to heat the wire. The additive manufacturing machine includes an additive head for emitting a laser beam to weld the wire to a substrate, a sensor configured to detect a weld parameter, and a controller operatively connected to the wire supply, additive head, and sensor. The controller is configured to determine a failure mode of the weld as the laser beam welds the wire to the substrate based at least in part upon the weld parameter. In response to determining the failure mode, the controller is configured to adjust at least one of the wire feed rate, the resistive heating, and a power of the laser beam as the laser beam welds the wire to stabilize the weld.