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A flowchart that shows the process and variation data of a 3D DTC check. It consists of two boxes, one labeled "2D Single-Level Checks" and the other labeled "Litho Printability Pattern Density etc." The first box is labeled "3D DC Checks: Minimum Insulator Contact Area etc." The second box is labelled "Process & Variation Data". This box represents the process of the check, which is a type of data that is used to measure the thickness of a single-level check. There are two arrows connecting the boxes, indicating the flow of data between them. The first arrow is pointing to the second box, where the data is stored. The second arrow points to the third box, indicating that the data can be stored in a 3d DTC (3D-DTC) system. The third arrow points towards the third and fourth boxes, which are labeled "Signoff". Overall, the flowchart shows that the process is process-based and that it is used for measuring the thickness and variation of the data in a specific area.
Design For Manufacturability Engineering Design Process Product Process Integration PNG
. The resolution of this PNG file is 1359 x 504 pixels and it has a file size of 94.55 KB.A flowchart that shows the process and variation data of a 3D DTC check. It consists of two boxes, one labeled "2D Single-Level Checks" and the other labeled "Litho Printability Pattern Density etc." The first box is labeled "3D DC Checks: Minimum Insulator Contact Area etc." The second box is labelled "Process & Variation Data". This box represents the process of the check, which is a type of data that is used to measure the thickness of a single-level check. There are two arrows connecting the boxes, indicating the flow of data between them. The first arrow is pointing to the second box, where the data is stored. The second arrow points to the third box, indicating that the data can be stored in a 3d DTC (3D-DTC) system. The third arrow points towards the third and fourth boxes, which are labeled "Signoff". Overall, the flowchart shows that the process is process-based and that it is used for measuring the thickness and variation of the data in a specific area.
