Certified Data Sets for Additive Manufacturing
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Solution Overview
Problem
Additive manufacturing of components with defined properties requires significant effort to develop plant-specific, component-specific, and process-specific parameters for reliable and reproducible production, necessitating specialized knowledge and resources.
Innovation Solution
A method utilizing certified data sets containing machine-readable control information for additive manufacturing systems, including system-specific, component-specific, and process-specific parameters, enabling fully automated production of components with defined properties without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If additive manufacturing processes are used to produce components with defined properties, then component quality and customization are improved, but the effort and expertise required to develop parameters increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-developing and storing parameter sets that have been optimized for specific component properties and quality requirements. These pre-configured parameter sets are made available in a database, allowing users to select appropriate parameters without having to perform time-consuming development work themselves. This resolves the contradiction by maintaining high manufacturing precision while eliminating the complex parameter development effort.
Solution Approach 2:
The patent implements copying by creating reusable parameter sets that can be copied and applied to multiple manufacturing tasks. Once a parameter set is developed and validated for producing components with specific properties, it can be copied and applied to similar components, eliminating the need to redevelop parameters each time. This resolves the contradiction by maintaining consistent component quality while dramatically reducing the effort required for parameter development.
2Reliability
If comprehensive parameter development is performed for each component, then reliable and reproducible manufacturing is achieved, but the time and resources required increase considerably
Solution Approach 1:
The system performs parameter development in advance and stores the results in a database. When a user needs to manufacture a component, they can directly apply pre-developed parameter sets without repeating the development process. This maintains reliability and reproducibility because the same validated parameters are used, while dramatically reducing the time required by eliminating redundant development work.
Solution Approach 2:
The system enables users to independently select and apply appropriate parameter sets from the database without requiring expert knowledge or time-consuming development work. The pre-configured parameter sets are designed to be directly applicable, allowing users to achieve reliable and reproducible manufacturing results through self-service selection rather than expert-led development.
3Manufacturing precision
If specialized knowledge is required for parameter selection, then component quality is maintained, but the accessibility and ease of use for general users decreases
Solution Approach 1:
The patent creates a library of pre-developed parameter sets that encapsulate specialized knowledge. Users can copy and apply these parameter sets without needing to understand the complex knowledge behind them. This maintains component quality because the parameter sets were developed by experts, while improving ease of operation because users simply select and apply pre-configured parameters without requiring specialized knowledge.
Solution Approach 2:
The system introduces an intermediary layer in the form of pre-configured parameter sets that bridge the gap between expert knowledge and user operation. The parameter sets act as intermediaries that translate complex specialized knowledge into easily applicable configurations. Users interact with the simplified interface of selecting parameter sets, while the underlying expert knowledge is embedded within these intermediaries, thus maintaining quality while improving accessibility.
Data Source
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AI summary
Method for the additive manufacturing of at least one component (2) with defined component properties, comprising the steps of: - providing at least one certified data set (4) which includes 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) with defined component properties, - applying at least one additive manufacturing process for the additive manufacturing of at least one specific component (2) with defined component properties based on the at least one certified data set (4).