Unlock instant, AI-driven research and patent intelligence for your innovation.

Sampling defect detection method, sampling defect detection equipment and sampling defect detection system

A defect detection and inspection station technology, applied in semiconductor/solid-state device testing/measurement, electrical components, circuits, etc., can solve problems such as wafer passing, and achieve reasonable defect detection results

Active Publication Date: 2021-01-05
CHINA RESOURCES MICROELECTRONICS (CHONGQING) CO LTD
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 1) The fixed wafer group tail number sampling inspection is affected by the wafer group tail number and grade. There may be wafers that have not been sampled by a certain machine for a period of time or in a batch of wafer groups;

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sampling defect detection method, sampling defect detection equipment and sampling defect detection system
  • Sampling defect detection method, sampling defect detection equipment and sampling defect detection system
  • Sampling defect detection method, sampling defect detection equipment and sampling defect detection system

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0062] For example, there are 3 machines in the TR HARD MASK etching site, the machine IDs are TOOL01, TOOL02, and TOOL03, and each machine has only one cavity. At present, the 3 machines at this site have processed a total of 12 batches of wafer groups. Table 1 below shows the sampling data corresponding to multiple machines and one cavity.

[0063] Table 1 Sampling data corresponding to multiple machines and one cavity

[0064]

[0065] Assume that the wafer groups whose end numbers are 1, 3, 5, 6, and 8 combined with the sampling defect detection rules are the wafers to be sampled for defect detection (corresponding to the underlined numbers in the table), from the above table It can be seen that TOOL02 has not been randomly inspected during this period of time, and correspondingly, each wafer in the wafer group with the tail numbers of wafer group 2, 4, 7, and 12 has not been randomly inspected either.

no. 2 example

[0067] For example, there is a machine TOOL at the TR HARD MASK etching site, and the corresponding chambers of the machine are TOOLCA, TOOLCB, and TOOLCC. Currently, the three chambers of the machine at this site run a batch of wafer groups. There are 25 wafers in the wafer group, as shown in Table 2, the sampling data corresponding to one or more machines with multiple chambers.

[0068] Table 2 Sampling data corresponding to one or more machines and multiple chambers

[0069]

[0070] Combined with the sampling defect detection rules, the wafers with serial numbers #1, #8, and #18 in the wafer group are the wafers to be sampled for defect detection. It can be seen from the above table that TOOLCB Not checked.

[0071] It should be noted that the situation of one multi-chamber machine in a process site is essentially the same as that of multiple multi-chamber machines, and they must be specific to the level of the chamber. The second embodiment and Table 2 only take one...

no. 3 example

[0073]For example, there are 3 machines in the TR HARD MASK etching site, and the machine IDs are: TOOL01, TOOL02, and TOOL03. The corresponding cavities of TOOL01 are TOOL01CA, TOOL01CB, TOOL01CC; the corresponding cavities of TOOL02 are: TOOL02CA, TOOL02CB; the corresponding cavities of TOOL03 are TOOL03CA. At present, the 3 machines at this site have run a total of 12 batches of wafer groups, and each batch of wafers has a lot of 25 wafers. It should be noted that the difference between the third embodiment and the second embodiment is that among the multiple machines included in the process station in the third embodiment, there are both machines that contain multiple cavities, and some that contain only one Cavity machines, because the processing methods corresponding to one cavity or multiple cavities are different, so the subsequent processing of this situation is slightly more complicated than the multiple multi-cavity machines involved in the second embodiment . Tab...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a sampling defect detection method, sampling defect detection equipment and a sampling defect detection system. The sampling defect detection method comprises the following steps: acquiring running information of a wafer processed by a process station within a time period and a sampling defect detection rule of the process station, wherein the process station is provided with one or more machine tables, and each machine table is provided with one or more cavities; judging whether all wafers processed by the machine and / or the cavity are not sampled for defect detection or not according to the running information and the sampling defect detection rule; if not, carrying out the process according to a normal process flow; if yes, selecting the wafers which are not sampled to be subjected to defect detection and / or processed by the cavity to be added into a detection queue corresponding to a detection station to be subjected to defect detection. Timing sampling defect detection of the machine or the cavity can be achieved, the problem that some machines or cavities have no wafers to be sampled for a long time is solved, and a defect detection mechanism is more reasonable.

Description

technical field [0001] The invention relates to the field of semiconductor manufacturing, in particular to a sampling defect detection method, equipment and system thereof. Background technique [0002] Generally, the manufacturing process of integrated circuits is very complicated, and the whole process requires many steps to complete. It takes about hundreds of processes from wafer to finished integrated circuit. The production process is interlocking, and any small mistake will lead to For the scrapping of the entire wafer, in order to detect problems in time, optical and electronic defect inspections are generally carried out on the production process during the chip manufacturing process. Since the defect detection equipment is very expensive, the industry is concerned about the wafers after the process. Perform sample defect detection. [0003] The existing sampling methods for semiconductor manufacturing defect detection include fixed wafer group tail number sampling...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H01L21/66
CPCH01L22/12Y02P90/30
Inventor 侯杰元杨林黄盛境
Owner CHINA RESOURCES MICROELECTRONICS (CHONGQING) CO LTD