Coating Process Configuration Using Ordered Algorithm Tasks
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Solution Overview
Problem
Configuring a coating process for transparent substrates is time-consuming and prone to human errors, requiring skilled operators and multiple parameter adjustments, leading to inefficiencies and production delays.
Innovation Solution
A computer-implemented method that provides a series of ordered tasks for configuring a coating process, utilizing a dataset and algorithms to optimize parameter settings and reduce human intervention, allowing for rapid and accurate configuration of mono- or multi-layered coatings on transparent substrates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of coating process parameters is performed by skilled operators, then the coating process can be configured to meet required specifications, but the process becomes time-consuming and prone to human errors
Solution Approach 1:
The patent replaces manual operator configuration with an automated computer-implemented method that uses algorithms to determine optimal parameter settings. The system automatically configures coating process parameters based on product specifications, eliminating the need for skilled operators to manually adjust multiple interdependent parameters, thereby reducing configuration time while maintaining or improving precision.
Solution Approach 2:
The coating process configuration system performs self-configuration through automated algorithms that independently determine optimal parameter settings without human intervention. The system retrieves historical data, analyzes product specifications, and automatically generates configuration parameters, enabling the process to configure itself rather than relying on external operator input.
2Manufacturing precision
If multiple parameter adjustments are performed to configure the coating process, then the required coating specifications can be achieved, but the complexity of the configuration process increases
Solution Approach 1:
The patent segments the complex configuration process into distinct automated steps: retrieving historical parameter data, analyzing product specifications, determining optimal parameters using algorithms, and generating configuration outputs. This segmentation simplifies the overall complexity by breaking down the multifaceted parameter adjustment task into manageable, automated stages that can be executed systematically.
Solution Approach 2:
The patent introduces a computer-implemented configuration system as an intermediary between product specifications and coating process parameters. This intermediary automatically processes the complex relationships between multiple parameters using algorithms and historical data, eliminating the need for operators to directly manage the complexity of interdependent parameter adjustments.
3Reliability
If skilled operators perform the configuration operations, then the coating process can be properly set up, but the requirement for skilled operators increases operational costs and reduces productivity
Solution Approach 1:
The patent replaces skilled operators with an automated computer-based configuration system that uses algorithms and historical data to determine optimal parameters. This substitution eliminates the need for skilled operator expertise while maintaining configuration reliability, thereby increasing productivity by reducing configuration time and enabling faster setup for different products.
Solution Approach 2:
The patent retrieves and utilizes historical parameter data from previous successful coating processes as a foundation for current configuration. By copying and adapting proven parameter settings from history, the system maintains reliability without requiring skilled operators to recreate configurations manually, significantly improving configuration efficiency and productivity.
4Manufacturing precision
If multiple trials are conducted to find the best parameter combination, then the optimal coating configuration can be achieved, but production delays occur
Solution Approach 1:
The patent performs preliminary configuration actions by retrieving historical data and using algorithms to predict optimal parameters before actual production begins. This preliminary automated configuration eliminates the need for multiple trial runs during production setup, achieving optimal parameter configuration upfront and preventing production delays while maintaining manufacturing precision.
Data Source
AI summary
A computer implemented method for configuring a coating process to deposit a targeted mono- or multi-layered coating on a substrate, the method providing as output a series of ordered tasks executed on the coating process, and includes (a) providing a dataset including a data related to parameters of the coating process; (b) providing a set of algorithms which takes, as input, data from the dataset of (a) and provides, as output, series of at least one tasks associated to each algorithm; selecting two algorithms from the set of algorithms depending on current states of the coating process as provided as input data, and (d) selecting an order in which the algorithms selected at (c) has to be carried out so that the tasks provided by the algorithms are organized as a series of ordered tasks which are executed contextually onto the coating process at corresponding stages in the coating process.