Methods for separating bonded wafer structures
10910280 ยท 2021-02-02
Assignee
Inventors
- Justin Scott Kayser (Wentzville, MO, US)
- John Francis Valley (Lake Oswego, OR, US)
- James Dean Eoff (Montgomery City, MO, US)
Cpc classification
B28D5/0064
PERFORMING OPERATIONS; TRANSPORTING
H01L21/76254
ELECTRICITY
H01L21/7806
ELECTRICITY
International classification
B28D5/00
PERFORMING OPERATIONS; TRANSPORTING
B32B43/00
PERFORMING OPERATIONS; TRANSPORTING
H01L21/67
ELECTRICITY
H01L21/762
ELECTRICITY
Abstract
Cleave systems for separating bonded wafer structures, mountable cleave monitoring systems and methods for separating bonded wafer structures are disclosed. In some embodiments, the sound emitted from a bonded wafer structure is sensed during cleaving and a metric related to an attribute of the cleave is generated. The generated metric may be used for quality control and/or to adjust a cleave control parameter to improve the quality of the cleave of subsequently cleaved bonded wafer structures.
Claims
1. A method for separating bonded wafer structures, the method comprising: cleaving a bonded wafer structure, wherein cleaving a bonded wafer structure comprises separating a first structure from a second structure by a mechanical cleave process in which separation occurs by propagation from a leading edge of the boned wafer structure toward a trailing edge opposite from the leading edge; sensing sound emitted from the bonded wafer structure while separating the first structure from the second structure by the mechanical cleave process; and generating a metric related to an attribute of the cleave based on sound sensed while separating the first structure from the second structure by the mechanical cleave process.
2. The method as set forth in claim 1 comprising adjusting a cleave control parameter to improve the quality of the cleave of subsequently cleaved bonded wafer structures.
3. The method as set forth in claim 1 wherein the metric is derived from an audio power profile generated during the cleave.
4. The method as set forth in claim 3 wherein the metric is selected from the group consisting of delay between a cleave trigger and a start of cleave, duration of the cleave, mean power, maximum power, frequency at which maximum power occurs, standard deviation of power, magnitude of power oscillations, amount of cleave time below a threshold power, maximum single dip time below a threshold power and the number of power dips below a threshold power.
5. The method as set forth in claim 1 comprising detecting when a cleave sequence has commenced for cleaving the bonded wafer structure, wherein sound is sensed upon detecting that the cleave sequence has commenced.
6. The method as set forth in claim 1 comprising converting sensed sound into data, the metric related to an attribute of the cleave being based on the data.
7. The method as set forth in claim 1 wherein generating a metric related to an attribute of the cleave based on sensed sound comprises generating a power function by a fast Fourier transform algorithm.
8. The method as set forth in claim 7 wherein the algorithm is a stepped fast Fourier transform algorithm.
9. The method as set forth in claim 1 wherein the generating a metric related to an attribute of the cleave based on sensed sound comprises generating a power function by digital filtering.
10. The method as set forth in claim 1 wherein the mechanical cleave process comprises a blade or mechanical wedge at the leading edge of the bonded wafer structure to propagate the cleave.
11. A cleave system for separating a bonded wafer structure, the system comprising: a cleaving device for cleaving the bonded wafer structure along a cleave plane, the cleaving device comprising one or more suction cups for applying a mechanical force to the bonded wafer structure to cleave the bonded wafer structure; an acoustic sensor for sensing sound emitted from the bonded wafer structure during cleaving and to generate an output in response to the sensed sound; and a controller configured to generate a metric related to an attribute of the cleave based at least in part on the output of the acoustic sensor.
12. The cleave system as set forth in claim 11 wherein the metric is derived from an audio power profile generated during the cleave.
13. The cleave system as set forth in claim 11 wherein the cleaving device is a mechanical cleaving device configured to produce a propagated cleave of the bonded wafer structure.
14. The cleave system as set forth in claim 11 wherein the cleaving device is a thermal cleaving device.
15. The cleave system as set forth in claim 11 further comprising a trigger sensor for detecting when a cleave sequence has commenced for cleaving the bonded wafer structure.
16. The cleave system as set forth in claim 11 further comprising an analog-to-digital converter for converting sound sensed by the acoustic sensor into data, the metric related to an attribute of the cleave generated by the controller being based at least in part on the data generated by the analog to digital converter.
17. The cleave system as set forth in claim 16 wherein the analog-to-digital converter comprises a digitizer or a sound card.
18. The cleave system as set forth in claim 11 wherein the controller is configured to generate 2 or more metrics related to attributes of the cleave based at least in part on the output of the acoustic sensor.
19. The cleave system as set forth in claim 11 wherein the cleaving device comprises a blade or mechanical wedge to propagate the cleave at an edge of the bonded wafer structure.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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(27) Corresponding reference characters indicate corresponding parts throughout the drawings.
DETAILED DESCRIPTION
(28) With reference to
(29) Bonded wafer structures that may be processed by the cleaving device 110 include any semiconductor structures in which it is desirable to separate the structure into two distinct structures. In some embodiments, the structure that is processed may be a bonded wafer structure that is used to prepare a silicon on insulated structure. Such bonded structures may include a handle wafer, donor wafer and a dielectric layer disposed between the handle wafer and donor wafer. The following is merely one example of methods and systems for processing bonded wafer structures.
(30) An example of a donor structure 30 (
(31) The dielectric layer 15 may be any electrically insulating material suitable for use in a SOI structure, such as a material comprising SiO.sub.2, Si.sub.3N.sub.4, aluminum oxide, or magnesium oxide. In some embodiments, the dielectric layer 15 is SiO.sub.2 (i.e., the dielectric layer consists essentially of SiO.sub.2). The dielectric layer 15 may be applied according to any known technique in the art, such as thermal oxidation, wet oxidation, thermal nitridation or a combination of these techniques. In this regard it should be understood that, while the layered semiconductor structures may be described herein as having a dielectric layer, in some embodiments the dielectric layer is eliminated (i.e., a dielectric layer is not deposited on the donor wafer or handle wafer prior to bonding) and the handle wafer and donor wafer are direct bonded. Reference herein to such dielectric layers should not be considered in a limiting sense. Any one of a number of techniques known to those of skill in the art may be used to produce such direct bonded structures. In such embodiments, the bonding surface of the donor structure is the surface of the donor wafer itself.
(32) As shown for example in
(33) As shown in
(34) Referring to
(35) As shown in
(36) In alternative embodiments, the cleaving device 110 is a thermal cleaving device in which fracturing is achieved by annealing the bonded structure. For example, a thermal cleave may performed at a temperature about 200 C. to about 800 C., or from about 250 C. to about 650 C. for a period of at least about 10 seconds, at least about 1 minute, at least about 15 minutes, at least about 1 hour or even at least about 3 hours (with higher temperatures requiring shorter anneal times, and vice versa), under an inert (e.g., argon or nitrogen) atmosphere or ambient conditions. The thermal cleaving device 110 may be a belt furnace in which propagation of the cleave is achieved at the leading edge of the bonded structure (i.e., the leading edge in the direction of travel of the structure through the furnace) and proceeds toward the trailing edge of the bonded wafer structure. Other types of cleaving devices may also be used.
(37) The cleaving device 110 may generally be configured to process any size of bonded wafer structures including, for example, 200 mm, 300 mm, greater than 300 mm or even 450 mm diameter bonded wafer structures. In some embodiments, the cleaving device is configured to process bonded wafer structures that are 200 mm or 300 mm in diameter.
(38) The cleaving system 100 includes an acoustic sensor 120 for sensing sound emitting from the bonded wafer structure during cleaving and for generating an output in response to the sensed sound. The acoustic sensor 120 may be a microphone, piezo sensor, MEMS device or a sound pressure or field transducer.
(39) A controller 130 is configured to generate one or more metrics related to an attribute(s) of the cleave (e.g., duration of cleave, quality of cleave, whether a no-layer-transfer condition occurred or a pause in the cleave as it progresses across the wafer) based on the recorded output from the acoustic sensor 120. In some embodiments, the metric generated by the controller 130 is derived from an audio power profile generated during the cleave. The audio power profile may be derived from the audio amplitude as described in Example 1 below. Examples of metrics that may be calculated include the delay between when the cleave is triggered and the sensed start of the cleave, the duration of the cleave, the mean power during the cleave, the maximum power, the frequency at which maximum power occurs, standard deviation of power, magnitude of power oscillations, amount of cleave time below a threshold power, maximum single dip time below a threshold power and the number of power dips below a threshold power. In some embodiments, 2 or more metrics are generated or even 3 or more, 5 or more, 7 or more or 10 or more metrics are generated by the controller 130.
(40) The controller 130 may be a computer system. Computer systems, as described herein, refer to any known computing device and computer system. As described herein, all such computer systems include a processor and a memory. However, any processor in a computer system referred to herein may also refer to one or more processors wherein the processor may be in one computing device or a plurality of computing devices acting in parallel. Additionally, any memory in a computer device referred to herein may also refer to one or more memories wherein the memories may be in one computing device or a plurality of computing devices acting in parallel.
(41) The term processor, as used herein, refers to central processing units, microprocessors, microcontrollers, reduced instruction set circuits (RISC), application specific integrated circuits (ASIC), logic circuits, and any other circuit or processor capable of executing the functions described herein. The above are examples only, and are thus not intended to limit in any way the definition and/or meaning of the term processor.
(42) The term database may refer to either a body of data, a relational database management system (RDBMS), or to both and a database may include any collection of data including hierarchical databases, relational databases, flat file databases, object-relational databases, object oriented databases, and any other structured collection of records or data that is stored in a computer system. The above are examples only, and thus are not intended to limit in any way the definition and/or meaning of the term database. Examples of RDBMS's include, but are not limited to including, Oracle Database, MySQL, IBM DB2, Microsoft SQL Server, Sybase, and PostgreSQL. However, any database may be used that enables the systems and methods described herein. (Oracle is a registered trademark of Oracle Corporation, Redwood Shores, Calif.; IBM is a registered trademark of International Business Machines Corporation, Armonk, N.Y.; Microsoft is a registered trademark of Microsoft Corporation, Redmond, Wash.; and Sybase is a registered trademark of Sybase, Dublin, Calif.)
(43) In one embodiment, a computer program is provided to enable the controller 130, and this program is embodied on a computer readable medium. In an example embodiment, the computer system is executed on a single computer system, without requiring a connection to a server computer. In a further embodiment, the computer system is run in a Windows environment (Windows is a registered trademark of Microsoft Corporation, Redmond, Wash.). In yet another embodiment, the computer system is run on a mainframe environment and a UNIX server environment (UNIX is a registered trademark of X/Open Company Limited located in Reading, Berkshire, United Kingdom). Alternatively, the computer system is run in any suitable operating system environment. The computer program is flexible and designed to run in various different environments without compromising any major functionality. In some embodiments, the computer system includes multiple components distributed among a plurality of computing devices. One or more components may be in the form of computer-executable instructions embodied in a computer-readable medium.
(44) The computer systems and processes are not limited to the specific embodiments described herein. In addition, components of each computer system and each process can be practiced independent and separate from other components and processes described herein. Each component and process also can be used in combination with other assembly packages and processes.
(45) In another embodiment, the memory included in the computer system of the controller 130 may include a plurality of modules. Each module may include instructions configured to execute using at least one processor. The instructions contained in the plurality of modules may implement at least part of the method for generating metrics related to an attribute of the cleave based at least in part on the sensed sound herein when executed by the one or more processors of the computing device. Non-limiting examples of modules stored in the memory of the computing device include: a first module to receive measurements from one or more sensors and a second module to produce metrics associated with the cleave.
(46) The computer system of one embodiment includes one media output component for presenting information to a user. Media output component is any component capable of conveying information (e.g., such as metrics associated with the cleave) to a user. In some embodiments, media output component includes an output adapter such as a video adapter and/or an audio adapter. An output adapter is operatively coupled to a processor and is further configured to be operatively coupled to an output device such as a display device (e.g., a liquid crystal display (LCD), organic light emitting diode (OLED) display, cathode ray tube (CRT), or electronic ink display) or an audio output device (e.g., a speaker or headphones).
(47) Referring to
(48) In some embodiments and as shown in
(49) As shown in
(50) In embodiments in which a trigger sensor 150 is used, the trigger sensor 150 triggers the controller 130 to indicate the start of cleaving to allow the controller 130 to begin saving and/or analyzing the output from the acoustic sensor 120. In embodiments in which the system 100 includes an analog-to-digital converter 125 (
(51) Referring to
(52) The acoustic sensor 120 and trigger sensor 150 are each mounted to the bracket 210. As show in
(53) Referring now to
(54) A single station cleaving apparatus with a mountable cleave monitoring system 203 attached thereto is shown in
(55) Aspects of the present disclosure are directed to methods and systems for separating bonded wafer structures such as, for example, by use of the cleave system 100 described above. A bonded wafer structure is cleaved (e.g., by propagation mechanically or thermally) and sound emitted from the bonded wafer structure during cleaving is sensed. The sound may be amplified and/or converted to a digital signal. In some embodiments, the audio field amplitude is used to generate a power profile (e.g., as in Example 1 below). The audio amplitude data of the cleave may be normalized and stepped through taking power spectra. The audio amplitude audio data used in one power spectrum may be used in the adjacent power spectrum to produce a smoothly varying power function as a function of time.
(56) In some embodiments, a fast Fourier transform (FFT) algorithm may be used to generate the power function from the amplitude audio data. In some embodiments, a stepped FFT method is used to produce a smooth varying power function (e.g., a stepped FFT without filtering). Such stepped FFT methods may allow the profile to be smoother with less blurring of dip transition edges without resort to a filter.
(57) In other embodiments, a non-FFT method is used. For example, the raw audio power profile data may be filtered digitally to produce the power profile.
(58) A metric related to the attribute of the cleave is generated based at least in part on the sensed sound. The metric may be derived from the audio power profile of the cleave and includes the metrics listed above (max power, dip time, number of dips, etc.). Once the metric is generated, the metric, or a combination of metrics, may be used to determine the quality of the resulting SOI structure. For example, the metric may indicate that the device layer did not transfer properly and the wafer should be removed from the lot. In some embodiments, the metric indicates that a cleave control parameter may be adjusted to improve the quality of the cleave of subsequently cleaved bonded wafer structures (i.e., tuning of the cleave process). For example, the initial pull strain may be adjusted, or the pull increment, pull count, strain window, split speed, split acceleration, split deceleration, maximum split time, blade speed or blade travel.
(59) In some embodiments, the commencement of the cleave sequence is detected with sound being sensed upon detecting that the cleave sequence has commenced. This may be detecting by monitoring movement of the cleave arm.
(60) In some embodiments, the system 101 is configured to execute a control action based on one or more metrics generated by the controller 130. The metric(s) may cause the system to discard a cleaved wafer or to sort the wafers based on the quality of the cleave as indicated by the metric(s). In other embodiments, the metrics cause the system to adjust a cleaving parameter (e.g., the initial pull strain, pull increment, pull count, strain window, split speed, split acceleration, split deceleration, maximum split time, blade speed or blade travel).
(61) Compared to conventional cleave systems for separating bonded wafer structures, the systems of the present disclosure have several advantages. By sensing the sound during a cleave and generating data from the sound, the data may be processed to generate metrics for quality control and/or to tune the cleaving apparatus and process to improve subsequent cleaves. In embodiments in which a digitizer is used, a relatively high rate of audio sampling may be used which improves the generated metrics. In embodiments in which a mountable cleave monitoring system is provided, the system may be mounted to existing cleave systems to alter the system to allow the cleave of bonded wafer structures to be monitored for quality control and/or cleave tuning.
EXAMPLES
(62) The processes of the present disclosure are further illustrated by the following Examples. These Examples should not be viewed in a limiting sense.
Example 1: Processing of Cleave Audio
(63) The audio from the cleave of a 100 mm bonded wafer structure was recorded with a microphone and digitizer (max sampling frequency 216,000 Hz). The audio signal was recorded for 5 seconds. The raw audio signal is shown in
(64) The power signal is the square of the ratio of the raw audio field amplitude and the cleave threshold audio amplitude. The raw power profile across the recorded audio samples is shown in
(65) The raw cleave audio, normalized to the threshold value and starting at 2 milliseconds before the beginning of cleave and 2 milliseconds after the cleave is shown in
(66) The normalized audio amplitude data was stepped through taking power spectra (
(67) TABLE-US-00001 TABLE 1 Audio Power Profile Metrics for the Power Profile of FIG. 19 Delay Duration Freq-P-Max (mS) (mS) P-Mean P-Max (kHz) 2589.94 32.25 21.2 74.35 11.81 Power DipTime LongDip P-Sigma Osc. % (mS) Dips # 20 651.69 1.83 0.8 1
(68) The top row of
(69) The power profile for a cleave which did not progress smoothly is shown in
Example 2: Variation in Audio Metrics at Different Cleave Strains
(70) Twenty-one 200 mm bonded wafer structures were cleaved with a mechanical cleaving device using suction cups and a blade to propagate the cleave. Seven wafers were processed with an initial strain according to a process of record (POR), seven were cleaved with a lower strain and seven cleaved with a higher strain than the process of record. Sound during cleaving was sensed by a microphone and a digitizer (max sampling frequency 216,000 Hz) was used to convert the signal to digital and the output was recorded. A photoelectric sensor positioned near the cleave arm was used to trigger the start of audio recording. A controller generated metrics from the audio power profile during the cleave. Calculated metrics included the delay between a cleave trigger and a start of cleave (Delay), duration of the cleave (Duration), mean power (P-mean), maximum power (P-max), frequency of maximum power (Freq P-Max), standard deviation of power (P-Sigma), magnitude of power oscillations (Power Osc.), amount of cleave time below dip threshold (Dip Time %), maximum single dip time (LongDip) and the number of power dips (Dips #). The metrics for each run are shown in Table 2 below.
(71) TABLE-US-00002 TABLE 2 Audio Power Profile Metrics for Process of Record, Low Strain and High Strain Cleaves Freq- Delay Duration P-Max Category (mS) (mS) P-Mean P-Max (kHz) low strain 2163.53 48.45 27.62 371.54 11.81 low strain 2267.63 38.35 30.91 286.29 10.97 low strain 2574.31 41.45 31.56 289.79 11.81 low strain 2198.66 41.15 30.21 277.15 10.97 low strain 2302.15 39.45 28.39 225.25 11.81 low strain 2107.13 46.25 19.99 232.27 10.97 low strain 2249.32 42.35 29.66 453.76 11.81 high strain 2564.36 32.25 41.96 255.47 11.81 high strain 2496.15 30.35 36.19 203.71 13.5 high strain 2436.99 30.85 39.14 212.72 10.97 high strain 2442.93 30.75 33.43 271.94 11.81 high strain 2490.36 30.65 34.12 215.01 10.97 high strain 2539.84 32.35 40.14 283.07 10.97 high strain 2562.66 30.35 38.93 229.85 11.81 POR 2453.78 37.55 33.08 237.08 12.66 POR 2252.08 37.85 35 277.64 11.81 POR 2234.94 35.85 28.95 253.86 11.81 POR 2336.81 35.65 30.92 277.93 12.66 POR 2216.2 35.95 33.66 285.63 12.66 POR 2217.07 36.45 39.88 235.48 12.66 POR 2171.4 37.65 36.59 231.82 11.81 Power DipTime LongDip Category P-Sigma Osc. % (mS) Dips # low strain 52.35 2233.65 24.53 7.4 4 low strain 50.01 1733.71 23.09 4.8 4 low strain 55.32 1985.73 14.89 5.9 4 low strain 56.14 2158.8 23.83 9.3 4 low strain 47.04 1806.36 18.99 7.9 2 low strain 43.44 2201.99 12.22 8.4 3 low strain 56.82 2352.46 19.93 4.8 5 high strain 57.45 2345.08 1.72 0.8 1 high strain 43.59 1880.28 2.68 1.2 1 high strain 52.6 1951.05 3.56 0.9 3 high strain 47.45 1664.59 5.33 1.6 2 high strain 43.55 1939.43 0.44 0.2 1 high strain 54.54 2521.9 3.88 0.8 3 high strain 48.09 2062.56 1.59 0.4 2 POR 46.46 2073.39 11.24 2.6 4 POR 48.35 2567.94 11.85 2.2 4 POR 40.39 1816.51 11.35 1.9 5 POR 47.87 1830.15 9.6 1.6 4 POR 50.42 2328.83 9.85 1.5 4 POR 58.17 2771.14 12.41 2.1 5 POR 52.45 2490.7 8.73 1.4 5
(72) The calculated metrics indicated that lower strain resulted in a higher cleave duration and a higher strain resulted in a higher mean audio power. Low strain also produced the largest amount of dip time, number of dips and the longest dips while high strain produced the smallest of these metrics.
(73) A film thickness data map of each wafer after cleaving was also generated. The data map was analyzed to view the number of cleave lines for each cleave. The lower strain cleaves exhibited less cleave lines. The metrics may be used to adjust the cleave (e.g., to adjust strain) to improve the uniformity of the cleave.
Example 3: Use of Cleave Audio to Detect a No-Layer-Transfer Condition
(74) The audio power profile of a cleave in which a device layer did not remain on the handle wafer (i.e., the entire donor wafer delaminated) was analyzed and compared to a typical cleave audio profile for a successful cleave. The successful cleave condition is shown in
(75) The difference in various audio profile metrics between successful transfer and no-layer-transfer were also observed and are shown in Table 3.
(76) TABLE-US-00003 TABLE 3 Audio Power Profile Metrics for Successful Cleave and No Layer Transfer Cleaves Freq- Sample Delay Duration P-Max Size Description (mS) (mS) P-Mean P-Max (kHz) 18570 Successful 2451.9 29.4 39.4 189.0 12.2 Transfer 27398 Successful 3005.1 30.5 40.7 182.3 12.5 Transfer 25 No Transfer 2545.5 19.9 2.8 81.8 0.0 25 No Transfer 2362.7 12.5 2.1 68.5 0.0 Sample P- Power DipTime LongDip Dips Size Description Sigma Osc. % (mS) # 18570 Successful 42.7 1899.8 2.8 1.1 1.2 Transfer 27398 Successful 41.4 1843.6 5.0 1.6 1.5 Transfer 25 No Transfer 7.6 264.1 28.8 7.4 4.2 25 No Transfer 6.5 189.5 1.2 5.4 0.4
(77) As shown in Table 3, the no-layer-transfer cleaves had significantly lower mean power, maximum power, frequency of maximum power, standard deviation of power and magnitude of power oscillations. These metrics may be used as a quality control for the cleaving process.
(78) As used herein, the terms about, substantially, essentially and approximately when used in conjunction with ranges of dimensions, concentrations, temperatures or other physical or chemical properties or characteristics is meant to cover variations that may exist in the upper and/or lower limits of the ranges of the properties or characteristics, including, for example, variations resulting from rounding, measurement methodology or other statistical variation.
(79) When introducing elements of the present disclosure or the embodiment(s) thereof, the articles a, an, the and said are intended to mean that there are one or more of the elements. The terms comprising, including, containing and having are intended to be inclusive and mean that there may be additional elements other than the listed elements. The use of terms indicating a particular orientation (e.g., top, bottom, side, etc.) is for convenience of description and does not require any particular orientation of the item described.
(80) As various changes could be made in the above constructions and methods without departing from the scope of the disclosure, it is intended that all matter contained in the above description and shown in the accompanying drawing[s] shall be interpreted as illustrative and not in a limiting sense.