Solid-State Additive Manufacturing Control for Multi-Variable Deposition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The complexity of solid-state additive manufacturing processes requires a sophisticated process control system to manage various materials, substrates, and operations, necessitating precise control of multiple variables such as down force, torque, temperature, and filler flow rate, while also accommodating different tool geometries and auxiliary operations.
Innovation Solution
A process control system with multiple operationally-synchronized open and closed control loops, utilizing sensors and detectors to monitor and adjust process variables, allowing for automatic or manual intervention to ensure accurate control of the solid-state additive manufacturing machine, including algorithms to calculate feedback control signals and adjust machine parts accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a sophisticated process control system with multiple synchronized control loops is implemented to precisely control multiple variables (down force, torque, temperature, filler flow rate), then manufacturing precision and reliability are improved, but device complexity increases
Solution Approach 1:
The control system is divided into multiple independent control loops, each responsible for a specific process variable (down force control loop, torque control loop, temperature control loop, filler flow rate control loop). Each loop operates semi-independently with its own sensors and actuators, allowing precise control of individual variables while maintaining overall system manageability through modular architecture.
Solution Approach 2:
The control system employs universal control algorithms and standardized sensor-actuator interfaces that can be applied across different tool geometries and operating conditions. The same control framework handles multiple variables and different tool types, reducing the need for separate specialized control systems for each configuration.
2Adaptability or versatility
If the system accommodates different tool geometries and auxiliary operations to increase versatility, then adaptability is improved, but device complexity increases
Solution Approach 1:
The control system is designed to dynamically adapt to different tool geometries and operating modes. Control parameters and algorithms can be adjusted in real-time based on the specific tool configuration being used, allowing the same system to handle various tool types without requiring permanent reconfiguration or additional hardware.
3Productivity
If automatic control with feedback loops is implemented to reduce manual intervention, then productivity is improved, but device complexity increases
Solution Approach 1:
Each control loop incorporates feedback mechanisms where sensors continuously monitor process variables (down force, torque, temperature, filler flow rate) and feed this information back to the control algorithm. The controller automatically adjusts actuator commands based on the difference between desired setpoints and actual measurements, enabling autonomous operation without manual intervention while maintaining simple control logic through proportional-integral-derivative (PID) type algorithms.
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 system enables efficient and precise control of the solid-state additive manufacturing process, ensuring high-quality adhesions, reduced mechanical challenges, and increased production efficiency, allowing for the fabrication of complex wrought alloy components with improved mechanical properties and flexibility in material deposition.
Implementation Method 1
heat is generated by the friction between the rotating tool and the workpiece surface
Implementation Method 2
generates chemical or physical bonding between the deposited material and the workpiece without the filler material melting
Data Source
AI summary
A process control system and a method for process control of a solid-state additive manufacturing system capable of performing various additive processes, such as joining, additive manufacturing, coating, repair and others, are disclosed. The process control system is capable of simultaneous measuring, monitoring and controlling multiple process variables, viz. material temperature, actuator down force, tool force (or torque), tool position, tool angular and transverse velocity, spindle torque (angular velocity), filler flow rate, filler composition, track width, inert gas flow rate and others. A feeding system for continuous supply of filler material to the solid-state additive manufacturing system is also disclosed. The filler material can be in a form of a powder, granules, briquettes, beads, flakes, wires, rods, films, scrap pieces, sheets, blocks or their combinations. Methods for generation of different periodic and non-periodic structures and joints using the process-controlled solid-state additive manufacturing system are also disclosed.