Certified Parameter Sets for Reproducible Additive Manufacturing
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Solution Overview
Problem
Existing additive manufacturing processes require significant effort to develop component-specific parameters for achieving defined component properties, making them unreliable and non-reproducible.
Innovation Solution
A method involving certified data sets containing system-specific, component-specific, and process-specific parameters that enable fully automated additive manufacturing of components with defined properties, eliminating the need for user intervention or prior knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If additive manufacturing processes are used to produce components with defined component properties, then component quality and functional configuration are improved, but the effort and time required to develop plant-specific, component-specific, and process-specific parameters increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-determining and storing optimal parameter combinations in a database before actual manufacturing. The system stores plant-specific, component-specific, and process-specific parameters that have been previously optimized, allowing users to directly retrieve and apply these pre-established parameters without conducting time-consuming parameter development for each new component.
Solution Approach 2:
The patent uses copying by retrieving and reusing parameter combinations from a database that were established through previous manufacturing experiences. Instead of developing parameters from scratch for each component, the system copies proven parameter sets from the database that are suitable for similar component types and manufacturing conditions, significantly reducing development effort while maintaining component quality.
2Reliability
If component-specific parameters are developed for each component to achieve reliable and reproducible additive manufacturing, then manufacturing reliability is improved, but the complexity and resource requirements of the manufacturing process increase
Solution Approach 1:
The patent merges multiple parameter types (plant-specific parameters, component-specific parameters, and process-specific parameters) into integrated parameter combinations stored in a database. This consolidation allows the system to manage complex parameter sets as unified entities, reducing the operational complexity of handling individual parameters separately while ensuring all necessary parameters are considered for reliable and reproducible manufacturing.
Solution Approach 2:
The patent introduces a database as an intermediary between parameter development and manufacturing execution. The database serves as a mediator that stores, organizes, and provides access to optimized parameter combinations, eliminating the need for users to directly manage the complexity of developing and tracking multiple component-specific parameters for each manufacturing task.
3Manufacturing precision
If diverse knowledge and expertise are required to select suitable parameters for additive manufacturing, then component quality is improved, but the ease of operation and accessibility of the process decreases
Solution Approach 1:
The patent implements self-service by enabling users to independently retrieve and apply optimized parameter combinations from the database without requiring external expertise or knowledge. The system provides users with the capability to autonomously select appropriate parameters for their manufacturing needs based on component type and manufacturing conditions, eliminating the barrier of requiring specialized knowledge while maintaining high component quality.
Solution Approach 2:
The patent applies preliminary action by pre-establishing and storing optimized parameter combinations in the database that encapsulate expert knowledge. This allows users without specialized expertise to access and apply these pre-packaged parameter sets, making the manufacturing process accessible to a broader user base while maintaining the quality standards established by experts during the parameter development phase.
Data Source
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AI summary
Method for the additive manufacturing of at least one component (2) of defined component properties, comprising the following steps: - providing at least one certified data record (4), which comprises component-specific parameters and/or plant-specific parameters and/or process-specific parameters certified by a provider for an additive manufacturing process of at least one specific component (2) of defined component properties, - implementing at least one additive manufacturing process for the additive manufacturing of at least one specific component (2) of defined component properties on the basis of the at least one certified data record (4).