LeeSangyeop1,†
Kim,Junghwi1
WhoangIntae1
JeongHongjae1
MoonGitae1
YoonSunghyun1
LeeYounghoon1
YoonGwangmin1
LeeSangyup1,2,†,*
-
(SK hynix Inc., Icheon, Republic of Korea)
-
(H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute
of Technology, Atlanta, USA)
Copyright © The Institute of Electronics and Information Engineers(IEIE)
Index Terms
Chip Warpage, UV-induced delamination, large-scale measurement solution, HBM, advanced packaging
I. INTRODUCTION
Three-dimensional (3D) chip stacking can be categorized into three main approaches:
Chip-to-Chip (C2C), Chip-to-Wafer (C2W), and Wafer-to-Wafer (W2W) [1]. Currently, major HBM suppliers employ the C2W method for chip stacking, and C2W
is also used in hybrid bonding, which has recently gained significant attention [2]. In this process, HBM stacked products are fabricated using 300 mm base and core
wafers produced in front-end fabs. Especially in HBM manufacturing, it is well known
that core chips are stacked onto the base wafer, aligning each core chip precisely
over the base chip (Fig. 1). As the HBM market rapidly expands, there is an increasing demand to stack more
chips in a limited area. Suppliers are thus engaged in fierce competition to stack
more and thinner chips [3]. Compared to conventional memory products, HBM offers significantly higher added
value, but it also presents greater manufacturing challenges. One of the most well-known
and critical challenges is the warpage [4-6]. With advanced packaging technologies drawing significant attention in the semiconductor
industry, the importance of warpage continues to increase. In the HBM process as well,
accurately assessing the warpage of ultra-thin wafers prior to the stacking process
is critical for ensuring product quality. However, at this stage, the wafer is bonded
to a carrier wafer for material handling purposes, and as a result, any 3D data acquired
for warpage measurement reflects the carrier wafer rather than the actual product.
Additionally, after debonding, the thin wafer is bonded to a 400 mm Ring-Frame (RF)
for subsequent handling. In this state, measurement is further complicated due to
tape sagging or warpage of the tape itself, making it difficult to obtain meaningful
warpage data for the product. Furthermore, there is currently no equipment in the
semiconductor industry capable of measuring the warpage of products mounted at 400
mm RF.
Several post-sawing processes between wafer input and stacking can further affect
chip warpage, yet there is no means to directly measure the warpage of chips just
before stacking. Consequently, information about chip warpage immediately prior to
stacking must be inferred from predictive models or destructive sampling of a very
limited number of chips, both of which are inherently limited in accuracy [7]. The mechanisms responsible for warpage are extremely complex, involving numerous
physical phenomena, and, most critically, cannot account for the substantial variability
in materials, equipment, and process conditions present in real manufacturing environments
[4]. Therefore, this study focuses on developing a practical methodology for measuring
chip-level warpage after the sawing process, which is of particular interest for stacked
product quality. Specifically, we investigated methods to enable large-scale measurement
of chip warpage at the stage immediately after ultra-thin wafers are diced into individual
chips just prior to stacking.
As previously discussed, the necessity of chip warpage measurement is growing, yet
two major obstacles make this process essentially unfeasible. First, there is currently
no available equipment or process technology capable of high throughput, inline measurement
of ultra-thin wafer or chip warpage. Second, although destructive sampling allows
for warpage measurement of a very limited number of chips, the sample size is far
too small to effectively inform defect reduction strategies.
To overcome these limitations, we devised and experimentally validated three Large-Scale
Chip Warpage (LSCW) measurement methods: two destructive approaches and one non-destructive
approach. The two destructive methods revealed additional issues during experimentation
and required precise control of optimal process parameters, which limited their practicality.
In contrast, the non-destructive method was proven to be highly suitable for implementation
in high-throughput measurement steps from a mass production perspective. Therefore,
in this study, we propose a novel non-destructive method enabling high-throughput
chip warpage measurement. This method has been transferred to measurement equipment
suppliers and has since been developed and commercialized as a LSCW measurement solution.
Fig. 1. HBM with vertically stacked homogeneous dies.
II. PREVIOUS STUDIES AND TECHNIQUES ON WARPAGE MEASUREMENT AND BEHAVIOR
1. Existing Wafer Warpage Measurement Techniques Based on Optical Systems
Wafer warpage measurement methods can first be classified into contact and non-contact
types. Contact methods include the stylus-based method and caliper-based measurement
[8]. Non-contact methods can be further categorized into Moiré, laser scanning, interferometry,
and confocal-based techniques. Moiré methods, including shadow and projection moiré,
have been widely used for wafer warpage measurement [9,10]. Laser scanning-based methods are also commonly used in practice for warpage measurement
due to their broad availability [11,12]. Although interferometry-based systems are more expensive, they are capable of measuring
in the range of several to tens of nanometers and have been employed for high-precision
measurements [13]. Confocal scanning systems, while slower and requiring more complex optical setups,
also offer high measurement precision and are frequently used in practice [14]. A comprehensive review of these various wafer warpage measurement techniques has
been provided by Sun and Zhang [15]. In the semiconductor manufacturing industry, where high-throughput warpage measurements
must be performed on mass-produced wafers using automated equipment, the cost and
speed of measurement systems are critical factors in technology adoption. In the case
of Advanced Package products, the increasing complexity of packaging structures has
led to a wider range of wafer warpages. Accordingly, compared to interferometry-based
methods, Moiré and laser scanning-based measurement systems are often more cost-effective
for manufacturers.
2. Measurement Methods Based on Wafer Support Configurations
In automated in-line measurement systems for mass production, wafer support configuration
is a key design factor. While the optical module focuses on acquiring 3D data, the
wafer support configuration directly influences the physical warpage of the sample
during measurement. For example, warpage values measured using three supporting pins
can differ from those measured using four pins. Therefore, for in-line automated systems,
wafer support configuration must be carefully designed and implemented. Based on the
wafer support configuration, existing warpage measurement systems can be classified
into the following types.
The most technically advanced and cost-intensive method involves gripping and supporting
a vertically held silicon wafer in an upright position for measurement. This approach
reduces shape distortion caused by gravity [16]. A certain equipment supplier currently provides a warpage measurement system capable
of measuring the warpage of a vertically held wafer. To the best of our knowledge,
this system is the only commercially available solution that enables wafer geometry
measurement while the wafer is held in a vertical orientation. The supplier possesses
a patent-based technology stack for precision [17,18]. Therefore, replicating or implementing equipment that measures warpage with the
wafer held in a vertical orientation remains challenging for other suppliers.
Therefore, many warpage measurements are conducted by placing the wafer on a flat
stage, and warpage measurement equipment is often developed and supplied based on
this configuration. Yoo et al. [19] experimentally investigated various wafer support configurations and concluded that,
under their experimental conditions, using a flat stage for warpage measurement reduces
the effect of gravitational sag. In practice, some of the warpage measurement systems
supplied to the industry are designed to operate with the wafer placed on a flat stage
during measurement. However, this method can be susceptible to contamination and particle
interference originating from the surface of the stage.
In addition, warpage measurements can be conducted by supporting the wafer with three
or four pins, lifting it from the stage surface during measurement. Liu et al. described
a method that calculates gravity-induced deflection (GID) based on the positions of
three supporting pins [20]. Yoo et al. also conducted warpage measurement experiments using a pin support method
in combination with a flat stage [19]. However, in warpage measurement systems used in high-mix, high-volume manufacturing
environments, it is practically impossible to accurately calculate the GID for an
extremely diverse range of product conditions, which presents a limitation of this
method.
Warpage values measured using different methods can vary in both shape and magnitude,
even when measured on the same wafer. In practice, semiconductor manufacturers often
use multiple types of equipment to perform warpage measurements, and variation in
measurement values due to different support configurations must be carefully controlled.
This is typically managed through adjustment of mechanical process parameters across
equipment types, a practice commonly referred to as Tool-to-Tool Matching.
3. Limitations of Existing Research on LargeScale Chip Warpage Measurement
While wafer warpage measurement techniques each have their own advantages, they are
not easily applicable to measuring the warpage of ultra-thin chips attached to dicing
tape on a 400 mm RF after dicing. On the other hand, as defects such as non-wet failures
caused by chip warpage have emerged as critical yield-degrading factors in both homogeneous
and heterogeneous chip stacking processes, there is a rapidly growing demand to precisely
measure individual chip warpage immediately after dicing, i.e., just prior to stacking.
Although some studies have analyzed chip warpage behavior after dicing 300 mm wafers,
the semiconductor industry still largely relies on curvature data obtained before
dicing or on indirect inference methods. Furthermore, studies such as [21] have employed finite element analysis (FEA) to simulate chip warpage or used manual
measurement tools to inspect each chip individually. However, these methods are impractical
in high-throughput production environments where speed is essential. In particular,
process variations such as equipment inaccuracies, process fluctuations, and material
property changes during actual dicing can cause unique mechanical responses in each
chip. Conventional methods fail to capture these variations, making it difficult to
accurately reflect the true warpage behavior. Moreover, applying FEA simulations to
the vast number of chips produced in mass manufacturing is not a viable solution.
In particular, the warpage state of chips attached to a 400 mm RF using the tape represents
a critical intermediate stage in the back-end process. Nevertheless, research on direct
measurement solutions capable of capturing chip warpage in this state quickly and
simultaneously across multiple chips is almost nonexistent. This technological gap
poses a major barrier to fully understanding warpage mechanisms under actual packaging
conditions and to developing process control and optimization strategies based on
this understanding.
4. Influence of Tape Material Properties on Warpage Behavior
The adhesive strength of dicing tape has a direct impact on the stability of die pick-up
during semiconductor manufacturing processes, while other mechanical and thermal properties
such as viscoelasticity and the coefficient of thermal expansion can exert indirect
influence through temperature variations and stress distribution [22]. During thermal cycling and mechanical handling, the material properties of the tape
affect interfacial stress distribution, stress relaxation, and peeling behavior, which
may indirectly influence the actual warpage profile or residual stress state of the
chip [23]. Furthermore, it has been reported that as the die becomes thinner, the adhesion
to the tape increases, making the peeling process more difficult and potentially preventing
the natural warpage of the chip from being revealed while it remains attached to the
tape [22].
In this study, we propose a method for measuring the warpage of large numbers of chips.
Specifically, we introduce a measurement method that evaluates chip warpage in-situ
while they remain attached to the dicing tape on a 400 mm RF. Two major technical
challenges must be addressed for this measurement concept to be realized. First, due
to the sagging of the RF tape under gravity, global warpage of the tape is introduced,
which interferes with accurate measurement. Second, the adhesion of the chip to the
tape flattens its warpage, preventing the actual warpage from being observed. To overcome
these issues, we present a high-throughput chip warpage measurement solution for high-volume
manufacturing, based on the UV-induced tape delamination mechanism introduced in Section
III and further developed in Section IV.
III. SCIENTIFIC MECHANISMS OF THE PROPOSED METHOD
1. Mechanics of UV-Induced Chip-Tape Delamination
In Section IV, as shown in Fig. 2, this section explains the mechanism behind the thermomechanical warpage and delamination
of semiconductor dies induced by UV treatment. This serves as the background for the
core idea of the proposed method: using UV exposure to reveal the warpage of individual
chips. The thermomechanical behavior at the chip-tape interface under UV irradiation
is driven by the difference in coefficients of thermal expansion between the materials.
When exposed to UV, both the chip and tape experience a rise in temperature, resulting
in thermal stress at the interface. Thermal stress occurs when a material tends to
expand or contract due to a temperature change but is mechanically constrained from
doing so. In this context, the mismatch in thermal expansion between the chip and
tape leads to interfacial stress development. When a material with a coefficient of
linear thermal expansion $\alpha$ undergoes a temperature change $\Delta$T, and its
expansion is completely restricted, the induced thermal stress $\sigma$ can be expressed
as Eq. (1).
where $\sigma$ is the thermal stress generated within the material, $\varepsilon$
is the total strain, $E$ is Young's modulus of the material, which defines its stiffness
or resistance to elastic deformation under load. The coefficient $\alpha$ corresponds
to the materials coefficient of linear thermal expansion, expressed in units of 1/K,
indicating the rate at which the material expands per unit temperature increase. Finally,
$\Delta$T is the change in temperature (in kelvin or degrees Celsius) experienced
by the material [24]. This UV-induced stress development sets the stage for delamination, governed by
the interfacial energy dynamics described below. This UV-induced stress development
sets the stage for delamination by releasing the inherent chip warpage previously
constrained by the tape. Tape adhesion strength can be selectively reduced through
UV stimulation. By applying UV irradiation, the adhesive strength can be weakened,
enabling easier delamination of chips from the tape. This occurs because UV exposure
increases crosslinking within the adhesive, leading to a reduction in its viscoelasticity
and tack properties, thereby decreasing adhesion. Lee et al. investigated the conditions
required for easily peelable acrylic dicing tapes, particularly focusing on the reduction
of adhesion strength after UV exposure in the pick-up process due to polymer network
formation [23]. Additionally, Wang conducted a study on the strategic design of photoreactive monomers
for the development of UV-induced debondable acrylic pressure-sensitive adhesives
(PSA) [25]. By leveraging these UV-induced structural transformations to lower peel strength,
such mechanisms can be applied to the development of chip warpage measurement methods.
Fig. 2. The non-destructive, large-scale chip warpage measurement method.
2. Minimizing Warpage Interference via Uncured Flux Support Layer
As described in Section IV, the proposed method involves placing ultra-thin chips
horizontally on a high-viscosity, uncured flux layer, enabling the preservation of
the chip's inherent warpage during measurement. The flux, possessing viscoelastic
properties, flexibly deforms under the chip's load while preventing localized stress
concentrations, thereby helping to retain the chip's natural warpage profile. Since
the flux remains uncured, it does not mechanically constrain the chip and is unsuitable
for vertical mounting. However, in a horizontal staging system, it effectively serves
as a support layer without interfering with the chip. As a result, the flux does not
disturb the chip's warpage, allowing for accurate measurement while preserving the
original warpage characteristics. Due to the extremely weak mechanical coupling between
the chip and the flux in this structure, mechanical interference is minimized rather
than promoting stress transmission, which is advantageous for improving measurement
accuracy. The following Eq. (2) describes how the warpage of an ultra-thin chip placed on uncured flux is transmitted
as stress. The approximate equation (2) is a first-order approximation model based on the fundamental stress-strain relationship
for linear elastic materials, $\sigma=E\cdot\varepsilon$. $\varepsilon$ is the strain,
which can be approximated as $\varepsilon\approx\frac{w(x,y)}{t_f}$, where $t_f$ is
the thickness of the support layer, and $w(x,y)$ is the out-of-plane displacement,
or warpage, of the chip at position $(x,y)$. In this model, the support layer is assumed
to behave as a linear elastic material, and a small vertical deformation occurs under
the chip's load. This equation provides a physically intuitive model for estimating
how the warpage of an ultra-thin chip placed on a flexible support layer is transmitted
as vertical stress within the layer.
In Eq. (2), $\sigma(x,y)$ represents the compressive or tensile stress, $E_f$ is the Young's
modulus of the flux, $w(x,y)$ denotes the warpage (z-direction displacement) of the
chip at position $x$ and $y$, and $t_f$ is the thickness of the flux layer. When $E_f$
is small, the resulting stress $\sigma(x,y)$ is also small, allowing the flux to naturally
absorb the chip's warpage with minimal interference. Therefore, the smaller the $E_f$,
the more the flux behaves like a liquid, flexibly conforming to the chip's warpage
and reducing mechanical interference. In this context, applying a large amount of
uncured flux with a very low modulus increases the flux thickness $t_f$, and according
to the equation, this further minimizes interference and allows better absorption
of the chip's warpage. Several studies have shown that a higher Young's modulus increases
structural rigidity and thereby reduces warpage through the same mechanism [26,27]. In this study, we apply the opposite approach by using uncured flux with a low Young's
modulus as a support layer to preserve the chip's inherent warpage during measurement.
IV. PROPOSED LARGE-SCALE CHIP WARPAGE MEASUREMENT METHODS
1. Chip-Tape Delamination and Vacuum Chucking (CTD-VC) Chip Warpage Measurement Method
CTD-VC refers to a non-destructive, LSCW measurement method based on chip-tape interface
delamination control and 400 mm vacuum chucking. As automated material handling (AMH)
for 400 mm RF became feasible, the laser sawing process of wafers adopted the 400
mm RF as a baseline, and it is now widely used in semiconductor manufacturing. However,
the tape attached to the 400 mm RF tends to sag due to gravity, and after the sawing
process, the diced chip-level products remain attached to the tape on the RF. In this
state, applying conventional warpage measurement solutions becomes virtually impossible.
While various existing optical systems have been developed with a focus on acquiring
high-precision 3D data, the two previously mentioned factors, which are the sagging
of the tape and the chip's attachment to the tape, physically conceal the actual warpage
information of the sample. As a result, conventional measurement methods cannot capture
accurate warpage. To overcome this limitation, this study proposes a practical solution,
which is described in Fig. 3.
As shown in Fig. 2, the wafer is diced into individual chips after the sawing process. At this stage,
UV treatment is applied based on Eqs. (1) and (2) presented in Section III. Upon UV exposure, each chip undergoes partial delamination
from the RF tape, which physically reveals the inherent warpage of the individual
chips. In addition, to eliminate measurement errors caused by the global shape distortion
due to gravitational sagging of the RF tape, the stage holding the 400 mm RF was modified
to enable vacuum chucking of the tape. Through vacuum chucking, the tape is flattened,
and sag-induced noise is effectively removed.
As a result, this measurement approach enables accurate acquisition of chip warpage
by eliminating physical noise caused by tape bonding and sagging. The chips are scanned
using a 3D optical module such as a 3D scanner or interferometer, and the acquired
data contains sufficient information to calculate the warpage of each chip. After
obtaining the 3D signals, reference points such as the chip corners are detected to
perform chip-wise alignment, allowing each chip to be mapped to its own local 3D coordinate
system as shown in Fig. 3.
Conventional optical systems have spatial resolutions $R_x$ and $R_y$ in the $x$ and
$y$ directions, respectively. Given a chip with height $H$ and width $W$, the total
number of height signals acquired per chip is approximately $\frac{H}{R_y}\times\frac{W}{R_x}$.
Following this, application-specific processing techniques such as filtering only
robust signals, masking bump features on the chip surface, or applying alignment algorithms
for rapid chip alignment can be employed. However, these additional software applications
are not the main focus of this paper and are therefore not discussed in detail. Fig. 4 shows an example of signal from a single chip through actual experimentation.
Through this approach, the warpage of all $N$ chips on a wafer can be measured simultaneously
in a single scanning operation. In general, the time required for 3D scanning varies
depending on the optical system used, typically ranging from 40 seconds to 5 minutes.
Within this time frame, the warpage of all $N$ chips on the wafer can be measured
at once.
In addition, the proposed method offers a significant advantage from a mass production
perspective. The Auto Visual Inspection (AVI) process, well known in semiconductor
inspection, is a widely used inspection solution in many semiconductor manufacturing
environments. In the AVI equipment market, dedicated inspection systems for 400 mm
RF have already been commercialized and developed over the past decade in response
to industry demand. This presents an opportunity to integrate the AVI system with
the chip warpage measurement process for combined operation. By installing two cameras
on a single turret, the system can be configured with a dual optical setup that enables
simultaneous AVI inspection and warpage measurement. Furthermore, the warpage measurement
results can be fed back into the AVI inspection process to dynamically control the
camera height during the 2D scanning stage. This allows the system to address the
well-known focus-out issue in AVI processes. Therefore, the proposed method offers
groundbreaking advantages in both semiconductor mass production and process technology
perspectives. As a result, the CTD-VC method offers significant advantages as a chip
warpage measurement solution from a mass production perspective, not only by enabling
accurate chip warpage measurement but also by providing a practical means to address
focus-related issues in AVI processes.
Fig. 3. Local and global coordinate system for 3D data.
Fig. 4. Chip data obtained using the proposed method.
2. Flux-based Support Layer (F-SL) Chip Warpage Measurement Methods: Cured Flux (CF-SL)
and Uncured Flux (UF-SL) Methods
F-SL chip warpage measurement methods can be classified into two categories, Cured
Flux and Uncured Flux Support Layers. The Uncured Flux (UF-SL) method and Cured Flux
(CF-SL) method, as described below, are destructive measurement techniques, unlike
the first non-destructive approach. In these Methods, bare silicon wafers are patterned
via photolithography to replicate the layout of the target chips. After the laser
sawing process is completed, the target chips are stacked in a single layer onto the
patterned bare silicon wafer. During this process, an excessive amount of flux is
intentionally applied between the chips and the wafer. This flux serves as a damping
layer to minimize deformation of the chip warpage induced by gravitational forces
acting on the support surface.
Since ultra-thin chips after laser sawing are only a few tens of microns thick, they
are highly susceptible to warpage caused by their own weight. When such chips are
placed directly onto a bare silicon wafer, point or partial contact with the support
surface can induce stress concentration, and gravitational deflection can exaggerate
the deformation, distorting the original warpage profile of the chip.
To mitigate this, applying a highly viscous flux between the chips and the wafer allows
the material to distribute uniformly across the chip surface, forming a continuous
support layer. This support layer absorbs shear stress and bending moments, thus suppressing
out-of-plane deformation. Flux materials with viscoelastic properties provide not
only cushioning against external mechanical forces but also effective stress redistribution.
Moreover, the flux fills micro-scale mechanical gaps between the chips and the bare
wafer, enabling uniform support across the entire chip surface. This configuration
helps ensure that the measured warpage characteristics more accurately reflect the
inherent deformation of the chips.
However, the UF-SL method is applicable only to measurement systems that utilize horizontal
staging configurations. This is because the measurement is performed prior to the
thermal curing of the flux, meaning that the flux remains in a non-cured, viscous
state during the process. In this uncured state, the flux cannot withstand gravitational
forces to maintain the chips' positions reliably. As a result, vertical staging systems
are not compatible with this method, since the chips would shift or collapse under
gravity. Therefore, this technique is incompatible with measurement systems based
on vertical wafer staging.
The CF-SL method is designed to enable chip warpage measurement even in metrology
systems that utilize vertical staging. Like the UF-SL method, it involves stacking
the chips onto a bare silicon wafer and applying flux between them. However, this
approach adds a thermal curing step to solidify the flux layer. During the curing
process, the intrinsic warpage of each chip induces subtle mechanical deformation,
which is transmitted through the hardened flux layer to the underlying silicon wafer.
As a result, localized stress distributions are generated on the backside of the bare
wafer. By precisely measuring these localized stress patterns, the warpage characteristics
of each chip can be indirectly inferred.
The CF-SL method is based on the principle that stress induced by chip warpage is
transmitted through the cured damping layer to the supporting substrate. Accordingly,
it constitutes an indirect measurement technique that offers compatibility with vertical
staging systems. In particular, by analyzing the stress distribution on the backside
of the substrate, it becomes possible to indirectly estimate the subtle mechanical
deformation of each chip. Therefore, this CF-SL Method is regarded as having the potential
to be implemented in high-precision interferometry-based equipment. However, precise
experimentation is required to evaluate the feasibility of accurately estimating warpage,
as the effectiveness of this approach heavily depends on the resolution of stress
transmission and the sensitivity of the interferometric system.
V. EXPERIMENTS
To evaluate the practical applicability of the proposed LSCW using CTD-VC, verification
experiments were conducted using 400 mm RF wafers with chips remaining after the sawing
process. The existing automated RF wafer handling system was modified by integrating
an optical module for warpage measurement and implementing vacuum chucking capability
on the stage, enabling repeated measurements. To verify the accuracy of the measured
chip warpage data, cross-validation was performed using the AXP manual destructive
analysis
system from Akrometrix Inc. Therefore, the chip warpage measured using the modified
equipment implementing the CTD-VC method is considered the test value, while the chip
warpage obtained from individual destructive measurements using AXP is regarded as
the ground truth. In addition, to artificially induce global wafer warpage, a film
was formed on the backside of the wafer to apply mechanical stress. The wafer underwent
sawing and measurement using proposed method.
The spatial distribution of applied stress was compared with the chip warpage data
collected at various wafer locations. The throughput of the proposed method was also
evaluated. Measurement data were also collected for the CF-SL and UF-SL method for
large-scale destructive measurement approaches. In particular, the CF-SL method was
tested using a system that vertically fixes the wafer for measurement, as illustrated
in Fig. 5. As shown in Fig. 5, the platform grips the edge of the wafer and holds it in a vertical orientation.
However, due to the results and the verified practicality and accuracy of the CTD-VC
method, this study adopts the first method for further experiments and process development.
The technical limitations and challenges observed in the initial trials of the CF-SL
and UF-SL are discussed in the conclusion of this paper.
Using the prepared LSCW method based on CTD-VC, the warpage of all chips on the wafer
was measured. A total of 81 chips were then manually sampled from nine regions of
the wafer (left, upper left, lower left, top, center, bottom, upper right, lower right,
and right).
The warpage of these chips was individually measured at room temperature using the
AXP manual analysis system. The values obtained using the LSCW method were considered
as the test values, and those obtained through the AXP system were regarded as the
ground truth. For confidentiality reasons, all data were normalized to an arbitrary
unit using Min-Max Scaling. The results are presented in Figs. 6-8. The cosine similarity,
Pearson correlation coefficient, and coefficient of determination R$^2$ were 0.8805,
0.6610, and 0.4369, respectively. This result indicates that the spatial distribution
pattern of chip warpage closely aligns with that of the ground truth, as evidenced
by the high cosine similarity value. The relative trend in warpage magnitude across
chip locations shows strong agreement with the ground truth data. Furthermore, a meaningful
linear relationship was also observed between the two datasets.
Furthermore, to validate the proposed method across the entire wafer area without
sampling, a film was applied to the wafer to artificially introduce a stress pattern,
followed by measurement. As shown in Fig. 6, the measured chip warpage distribution qualitatively matched the expected deformation
pattern, demonstrating that the method can effectively capture chip-level warpage
behavior. The experimental results demonstrate that the proposed method enables the
observation of chip-level warpage to a significant extent, which was previously unobservable
in high-throughput inline environments. This represents a meaningful achievement,
as it addresses a long-standing technical challenge in the industry where there has
been a demand for chip-level warpage information but no viable means to measure it.
In addition, the time required to measure the individual warpage of all chips on a
wafer using the CTD-VC method increases with the number of measurement points per
chip, and the results are summarized in Fig. 9. In the graph shown in Fig. 9, the $x$-axis represents the number of measurement points per chip, and the y-axis
indicates the total time (in seconds) required to measure 600 chips. Under the given
experimental conditions, the total measurement time of approximately 7 to 10 minutes
for all chips demonstrates a dramatically improved speed compared to conventional
methods that involve manual sampling and measurement. For the UF-SL and CF-SL methods,
when using an interferometric optical module with an $x$- and $y$-axis resolution
of 130 $\mu$m, approximately one minute was required per wafer, regardless of the
number of measurement points. When a 3D laser scanner was used with an x- and y-axis
resolution set to approximately 10 $\mu$m, the measurement took approximately five
minutes per wafer. These measurement speeds are considered highly reasonable for inline
equipment applications.
Fig. 5. Stage equipped with a wafer grabber for vertical wafer staging.
Fig. 6. Chip warpage distribution reflecting induced stress pattern. (a) Incoming
warpage, (b) warpage compensation with CVD, and (c) results of LSCW using CTD-VC method.
Fig. 7. Cross-validation results of CTD-VC. (a) LSCW results using CTD-VC. (b) Ground
truth.
Fig. 8. Results of 81ea chip samples for cross-validation.
Fig. 9. Scan speed for 600 chips.
VI. CONCLUSION AND IMPLICATIONS
This study yields several experimental insights. First, in the UF-SL method, excessive
flux overflowed onto the chip's top surface, as shown in Fig. 10 (a), introducing noise into the measurement results. In the CF-SL method, a characteristic
``smile''-shaped warpage pattern was observed, as depicted in Fig. 10 (b), consistent with prior product knowledge. However, additional high-precision validation
is required to verify its practicality and reliability. Both approaches demand a highly
optimized stacking process to obtain meaningful measurement data, which introduces
limitations in terms of time, cost, and operational complexity. For example, both
the UF-SL and CF-SL methods require optimization of process parameters related to
flux application to improve measurement quality. In the case of the CF-SL method,
additional optimization of thermal curing parameters is also necessary. Furthermore,
precise adjustment of stacking parameters is required when placing chips on the flux-based
support layer to ensure uniform stacking without step differences. Since the measurement
results are highly sensitive to variations in these process conditions, these methods
are considered less favorable than the CTD-VC method from an operational standpoint.
Nevertheless, the UF-SL methods offer significant advantages over traditional manual
chip warpage analysis techniques by enabling rapid, high-volume data acquisition through
automated measurement systems. A current limitation, however, is that these methods
only support room temperature measurements. With the addition of a chamber and temperature
control functionality, it may become possible to capture chip warpage behavior under
various thermal conditions.
The primary focus of this study, the LSCW method using CTD-VC, has demonstrated substantial
industrial value as a non-destructive technique suitable for in-line metrology. In
the semiconductor equipment industry, this approach can drive increased demand for
new metrology solutions. In the semiconductor manufacturing process, it offers a critical
advantage by enabling acquisition of chip warpage data, which is a key factor in controlling
the measured warpage data showed strong correlation and consistent trends with the
target chip warpage, supporting the reliability and accuracy of the proposed method.
Furthermore, the proposed method is practically advantageous as it can be integrated
into existing AVI systems. By equipping a single turret with dual optical modules,
the system can perform simultaneous AVI inspection and chip warpage measurement. The
resulting warpage data can also be used to dynamically adjust camera focus during
AVI scanning, effectively addressing the well-known focus-out issue in AVI processes.
Based on these findings, our research team collaborated with multiple equipment vendors
to implement the proposed method as a new application feature in commercial metrology
systems. Both hardware and software modifications were made, and the solution has
been successfully commercialized. It is now actively deployed in industrial settings
to efficiently collect LSCW data.
Fig. 10. Chip warpage measurement results. (a) Result of UF-SL. (b) Result of CF-SL.
ACKNOWLEDGMENTS
This work was supported by SK hynix Inc. The authors sincerely thank Professors
Xiao Liu of the Georgia Institute of Technology for their continued guidance and encouragement
during the Ph.D. studies of the corresponding author, Sangyup Lee, which greatly contributed
to his research and engineering development.
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Sangyeop Lee received his B.S. degree in naval architecture and ocean engineering
from Seoul National University, Seoul, South Korea in 2018. He joined SK hynix Inc.,
Icheon, Korea, in 2018, where he has been working in Wafer Level Packaging Team. He
is currently engaged in research on Chip Warpage solutions for HBM and the optimization
of die warpage. His work also focuses on enhancing the productivity of the SAT.
Junghwi Kim received his B.S. degree in mechanical engineering from Inha University,
Incheon, South Korea in 2013. He is currently pursuing a master's degree in the Department
of Electrical Engineering at KAIST, conducting research on DRAM capacitors based on
ferroelectric materials. He joined SK hynix Inc., Icheon, Korea, in 2015, where he
has been working in Wafer Level Packaging Team. His research interest is improving
measuring the chip level warpage and die shape.
Intae Whoang received his B.S. degree in industrial engineering from Purdue University,
Indiana, United States of America in 2017. He joined SK hynix Inc., Icheon, Korea,
in 2018, where he has been working in Wafer Level Packaging Team. His research interest
is process optimization and development for thin film and dry etch process to enhance
productivity and to reduce cost of HBM products.
Hongjae Jeong received his B.S. degree in chemical and biomolecular engineering
from Yonsei University, Seoul, South Korea in 2018. He joined SK hynix Inc., Icheon,
Korea, in 2018, and has been working in the HBM Technology team. His research interest
is focused on yield improvement of HBM through process optimization.
Gitae Moon received his B.S. degree in mechanical engineering from UNIST, Ulsan,
South Korea in 2018. He joined SK hynix Inc., Icheon, Korea, in 2018, where he has
been working in Wafer Level Packaging Team. His research interests is MR/HMR Stacking
Process and development for material to enhance productivity and to reduce cost of
HBM products.
Sunghyun Yoon is working at SK hynix, where he leads research on advanced metrology
and inspection technologies for HBM production. His recent work focuses on the integration
of semiconductor processes with artificial intelligence, including the development
of AI-based defect prediction models for the world's first HBM inspection solution.
Younghoon Lee is a part leader at SK hynix Inc., leading metrology and inspection
development for advanced semiconductor packaging. He has extensive experience in process
optimization and has contributing to the development of innovative techniques for
accurate and reliable HBM analysis.
Gwangmin Yoon is the team leader at SK hynix Inc. He has led multiple initiatives
in 3D semiconductor inspection and continues to oversee the development of high-precision
measurement solutions for emerging memory technologies of HBM.
Sangyup Lee received his B.S. and M.S. degrees in industrial engineering from Ajou
University, Suwon, South Korea, in 2016, and Yonsei University, Seoul, South Korea,
in 2018, respectively. He joined SK hynix Inc., Icheon, Korea, in 2018, where he worked
on WLPKG and HBM process technology. He has contributed to the development of SAT
and warpage measurement processes and equipment. He also led data science projects
leveraging machine learning to solve manufacturing challenges. He is currently pursuing
a Ph.D. degree in the H. Milton Stewart School of Industrial and Systems Engineering
at the Georgia Institute of Technology, Atlanta, GA, USA, under the supervision of
Prof. Jianjun Shi and Prof. Xiao Liu. His current research focuses on developing advanced
3D chip stacking methodologies.