This overview helps you to create the desired job template correctly in the Workflow Creator.
Component Cleanliness Testing
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber extracted from components and medical devices by filtration. Use this job template if you acquire images of filter membrane samples.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition (Components). As an Operator, see Operator Overview: Workflow with Image Acquisition (Components).
Component Cleanliness Testing (Loaded Images)
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber extracted from components and medical devices by filtration. Use this job template if you work with images loaded from your file system or archive.
As a Supervisor, see Supervisor Overview: Workflow with Loaded Image (Components). As an Operator, see Operator Overview: Workflow with Loaded Image (Component).
Component Cleanliness Testing with ML Object Classification
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber extracted from components and medical devices by filtration. For enhanced particle type differentiation the ML (machine learning) based Object Classification is used in combination with the selected standard. Use this job template if you acquire images of filter membrane samples.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition with AI based Object Classification (Components). As an Operator, see Operator Overview: Workflow with Image Acquisition with AI based Object Classification (Components).
Component Cleanliness Testing with ML Object Classification (Loaded Image)
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber extracted from components and medical devices by filtration. For enhanced particle type differentiation the ML (machine learning) based Object Classification is used in combination with the selected standard. Use this job template if you work with images loaded from your file system.
As a Supervisor, see Supervisor Overview: Workflow with Loaded Image with AI based Object Classification (Components). As an Operator, see Operator Overview: Workflow with Loaded Image with AI based Object Classification (Components).
Component Cleanliness Testing with S&F
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber, extracted from components and medical devices by filtration. You acquire an image with the LM that you continue to analyze on an EM with EDS. Use this job template for correlative component cleanliness testing at the LM.
For more information, see Overview: Image Acquisition Workflow TCA with S&F at the LM for Correlative Analysis and Overview: Correlative Workflow with TCA, S&F and ML based Object Classification at the LM.
Component Cleanliness Testing with S&F and ML Object Classification
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber, extracted from components and medical devices by filtration. You acquire an image with the LM that you continue to analyze on an EM with EDS. For enhanced particle type differentiation the ML (machine learning) based Object Classification is used in combination with the selected standard.
For more information, see Overview: Correlative Workflow with TCA, S&F and ML based Object Classification at the LM.
Component Cleanliness Testing with HM
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber, extracted from components and medical devices by filtration. You acquire an image with the LM. You perform the analysis in combination with height measurement results.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition and HM (Components), as an Operator, see Operator Overview: Workflow with Image Acquisition and HM (Components)
Component Cleanliness Testing with S&F and HM
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber, extracted from components and medical devices by filtration. You acquire an image with the LM that you continue to analyze on an EM with EDS. You perform the analysis in combination with height measurement results.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition with S&F and HM (Components), as an Operator, see Operator Overview: Workflow with Image Acquisition with S&F and HM (Components).
Component Cleanliness Testing with ML Object Classification and HM
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber, extracted from components and medical devices by filtration. You acquire an image with the LM. For enhanced particle type differentiation the ML (machine learning) based Object Classification is used in combination with the selected standard. You perform the analysis in combination with height measurement results.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition with ML Object Classification and HM (Components) and as an Operator Operator Overview: Workflow with Image Acquisition and ML Object Classification and HM (Component).
Component Cleanliness Testing with S&F and ML Object Classification and HM
With this job template you analyze the particle size distribution and the particle types metallic-shiny, non-shiny, and fiber, extracted from components and medical devices by filtration. You acquire an image with the LM that you continue to analyze on an EM with EDS. For enhanced particle type differentiation the ML (machine learning) based Object Classification is used in combination with the selected standard. You perform the analysis in combination with height measurement results.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition with S&F and ML Object Classification and HM (Components) and Operator Overview: Workflow with Image Acquisition with S&F and ML Object Classification and HM (Components).
Component Cleanliness Testing (VDA 19.2 Joint Result)
This job template calculates the Illig Value for environmental cleanliness. This workflow uses data from already generated job results.
As a Supervisor, see Supervisor Overview: Workflow for Illig Method, as an Operator, see Operator Overview: Workflow for Illig Method.
Oil Cleanliness Testing
With this job template you analyze the particle size distribution and of particle originating from oils and lubricants. Use this job template if you acquire images of filter membrane samples.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition (Oil). As an Operator, see Operator Overview: Workflow with Image Acquisition (Oil).
Oil Cleanliness Testing (Loaded Images)
With this job template you analyze the particle size distribution and particle types originating from oils and lubricants. Use this job template if you work with images loaded from your file system or archive.
As a Supervisor, see Supervisor Overview: Workflow with Loaded Image (Oil). As an Operator, see Operator Overview: Workflow with Loaded Image (Oil).
Oil Cleanliness Testing with S&F
With this job template you analyze the particle size distribution. You acquire an image with the LM that you continue to analyze on an EM with EDS. Use this template for correlative oil cleanliness testing with an LM.
For more information, see Overview: Image Acquisition Workflow TCA with S&F at the LM for Correlative Analysis.
Oil Cleanliness Testing with HM
With this job template you analyze the distribution of particle size in combination with height measurement results. Use this template for oil cleanliness testing with an height measurement.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition and HM (Oil), as an Operator, seeOperator Overview: Workflow with Image Acquisition and HM (Oil)
Oil Cleanliness Testing with S&F and HM
With this job template you analyze the distribution of particle size in combination with height measurement results. You acquire an image with the LM that you continue to analyze on an EM with EDS. Use this template for correlative oil cleanliness testing with an LM.
As a Supervisor, see Supervisor Overview: Workflow with Image Acquisition with S&F and HM (Oil), as an Operator, see Operator Overview: Workflow with Image Acquisition with S&F and HM (Oil).