Additive Manufacturing Control Data for Random Weld Depth Interlocking
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Solution Overview
Problem
Additive manufacturing processes, such as selective laser sintering, often result in components with weak weld seams between layers, leading to fatigue breaks due to unintentional fluctuations in welding penetration depth, which can propagate cracks easily.
Innovation Solution
A method for generating control data that controls the energy beam to vary the target welding penetration depth randomly using a predefined probability distribution, specifically a Poisson distribution, across the construction field, creating a statistically distributed interlocking mode to enhance the interlocking of layer boundaries and prevent crack propagation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the welding penetration depth is kept constant during additive manufacturing, then the manufacturing process is simple and fast, but the weld seams between layers are weak and prone to fatigue breaks
Solution Approach 1:
The patent applies dynamics by making the welding penetration depth variable rather than constant. The control data dynamically adjusts the penetration depth during the manufacturing process, allowing the energy beam to create stronger interlocking between layers while maintaining process efficiency. This resolves the contradiction by introducing controlled variability that improves weld seam strength without requiring fundamentally more complex equipment.
Solution Approach 2:
The patent changes the parameter of welding penetration depth from a fixed value to a variable parameter. By modifying this critical parameter during manufacturing based on pre-calculated control data, the system achieves improved weld seam strength and fatigue resistance. The parameter change is implemented through software-controlled energy beam adjustment rather than hardware modification.
2Strength
If the welding penetration depth is varied to create interlocking mode and prevent crack propagation, then the component strength increases, but the manufacturing precision control becomes more difficult
Solution Approach 1:
The patent applies preliminary action by pre-calculating the optimal variable penetration depth profile before manufacturing begins. The control data is generated in advance with precise specifications for how the penetration depth should vary at different positions and times. This pre-planned approach eliminates the need for real-time decision-making during manufacturing, maintaining precision while achieving the desired interlocking effect and crack propagation prevention.
Solution Approach 2:
The patent implements feedback by using detection devices to monitor the actual welding penetration depth and comparing it with the target values from the control data. This closed-loop control system allows for real-time corrections to maintain manufacturing precision even as the penetration depth varies according to the interlocking mode requirements. The feedback mechanism ensures that strength improvements are achieved without sacrificing control accuracy.
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 approach reduces or prevents fatigue breaks by creating obstacles for crack propagation, increasing the strength and reliability of additively manufactured components by intentionally varying the welding penetration depth, thereby enhancing the interlocking of layer boundaries.
Implementation Method 1
selective solidification of construction material takes place between the application of two material layers of construction material whereby the construction material is exposed to at least one energy beam
Implementation Method 2
the energy beam is guided along solidification paths across the construction field and the melting or solidification of the material in the respective layer accordingly takes place in the form of welding paths or welding beads
Data Source
AI summary
The invention relates to a method for generating control data for a device for additively manufacturing a component in a manufacturing process, in which method the energy beam is moved along a number of solidification paths across the construction field, and operation takes place at least temporarily in a toothing mode in which, when the energy beam is being moved across the construction field, a location-dependent desired welding-in depth of the energy beam is switched over at a plurality of switchover points which are randomly distributed over at least one defined region of a cross-section of the component in the layer in question.