1. INTRODUCTION
Advanced high-strength steels (AHSS) have gained significant importance in automotive
and structural applications due to their superior mechanical properties and reduced
material thickness, which contribute to enhanced vehicle safety, reduced weight, and
improved fuel efficiency, thereby lowering carbon emissions and promoting sustainability[1,
2]. Welding these materials poses unique challenges because of their complex microstructures
and high strength. Various welding techniques, such as resistance spot welding (RSW)[3-5], laser welding[6-10], and gas metal arc welding (GMAW), are commonly used in the fabrication of automotive
structures[11,
12]. Each technique offers distinct advantages and limitations regarding accessibility,
cost, and weld quality.
RSW is the most widely employed method for automotive frame assembly due to its reliability
and cost-effectiveness. However, RSW requires access to both sides of the joint, limiting
its applicability[2]. Laser welding, while offering high precision, single-sided access, and minimal distortion,
comes with high equipment costs and stringent safety requirements[13]. GMAW, known for its accessibility and cost-effectiveness, typically involves higher
heat input compared to RSW and laser welding, making it less suitable for welding
thin AHSS sheets[14,
15].
Arc-plug welding (APW), a variant of GMAW, has emerged as a promising alternative
for situations where single-sided access and sufficient heat input are necessary to
bond thin-gauge AHSS sheets[16-23]. In APW, a hole is punched into the top sheet, and the GMAW torch is used to fill
the hole, creating a bond between the sheets. APW offers significant advantages in
automotive applications, particularly in areas such as chassis construction, seat
frames, and reinforcement of structural components, where access limitations pose
challenges for traditional welding techniques. APW was initially introduced as a repair
welding technique to enhance the reinforcement of defective welds in automotive architectures.
It has gained attention for its ability to refurbish the aesthetic of welds while
increasing the weld area on top of previously completed spot welds or laser welds.
Applying different plug hole shapes has expanded its capabilities, providing a robust
and efficient solution tailored to automotive architecture. This adaptability enhances
not only the quality and efficiency of the welding process but also extends the applicability
of APW to various critical automotive components.
Despite the potential of APW, research on this technique is quite limited, particularly
regarding its application to AHSS. Previous studies have primarily focused on comparing
the weldability and mechanical performance of APW with their RSW counterparts. For
instance, Kim et al. (1998) conducted a comparative study on RSW and circular APW
using mild steel with similar weld sizes. Their findings demonstrated that APW significantly
outperformed RSW in both coach peel and tensile shear tests, indicating the superior
mechanical performance of APW in these configurations[21]. Similarly, Kodama et al. (2013) investigated the cross-tension testing (CTS) performance
of APW and RSW on 980 MPa steel, using ER70 welding consumable for APW[24]. Their results showed that APW achieved superior CTS performance compared to RSW
when weld sizes were controlled to be equivalent. However, these studies consistently
used low-strength welding consumables (ER70 welding consumable) regardless of the
base metal (BM) strength, creating a critical research gap in understanding the impact
of higher-strength welding consumables on the microstructural and mechanical properties
of APW.
Despite the growing interest in APW for automotive applications, research on its weldability—particularly
the influence of different welding consumables on AHSS—remains limited. To address
this gap, insights can be drawn from studies on GMAW lap fillet welds, which share
certain similarities with the APW process. While lap fillet joints differ in geometry,
the underlying principles regarding the effects of welding consumables on microstructure
and mechanical performance can offer valuable parallels. In the subsequent discussion,
we explore key findings from recent studies on lap fillet welds, providing a foundation
for understanding how consumable selection might influence APW in thin-gauge AHSS
applications. In recent studies, the impact of different welding consumables on the
microstructure and mechanical properties of welded joints has gained significant attention.
For instance, Patricia et al.[25] investigated the microstructural characteristics and microhardness of welds using
ER70S-6 (530 MPa) and ER110S-G (900 MPa) welding consumables on a 4.0 mm thick CP800
steel in a bead-on-plate (BOP) configuration. Their study revealed that, in both cases,
the heat-affected zone (HAZ) predominantly exhibited a bainitic structure. In the
WZ, ER70 welds were characterized by GBF and AF, whereas ER110 welds displayed a bainitic
microstructure. This difference in microstructure correlated with a variation in hardness,
where ER110 welds maintained higher hardness levels than ER70, although a direct correlation
to tensile performance was not established. Cardenas et al.[26] extended this inquiry to lap fillet joints in 780 MPa complex phase (CP) steel, utilizing
ER70, ER90, and ER100 consumables. Their tensile shear testing and microhardness profiling
indicated that joints made with ER90 and ER100 consumables predominantly failed within
the HAZ, where increased hardness was observed. In contrast, ER70 welds exhibited
failure within the WZ itself. These findings suggest that microhardness variations
significantly influence fracture behavior; however, the relationship between hardness
profiles and tensile failure modes remains inconclusive. These studies underscore
the necessity for further investigation into the microstructural and mechanical implications
of consumable selection, particularly within the APW process for AHSS applications.
This highlights the need for additional research to understand better how the strength
of the welding consumable influences the mechanical performance of the welds.
In welding, it is generally accepted that the mechanical properties of the welding
consumable should align closely with the BM to prevent premature failure. For AHSS,
with BM strengths often exceeding 700 MPa, using low-strength consumables like ER70
may lead to insufficient hardness in the weld metal, resulting in reduced performance[14,
15,
27]. Thus, there is a pressing need to investigate the use of higher-strength consumables,
such as ER110, in APW for AHSS applications to optimize weld strength and durability.
This study aims to comprehensively investigate the impact of welding consumables on
the microstructural and mechanical properties of APWs in (AHSS), specifically focusing
on 1180 MPa grade steel. This research seeks to bridge the existing knowledge gap
regarding the effects of different welding consumables, such as ER70S-6 and ER110S-G,
on the microstructural evolution and mechanical performance of APW joints.
To the best of the authors’ knowledge, a systematic study on circular APW of thin-gauge
1180 MPa-class AHSS that directly compares low-strength and high-strength welding
consumables under optimized process conditions has not been reported. The novelty
of the present work lies in establishing a microstructure–hardness–fracture correlation
for APW joints by combining SEM/EBSD-based phase identification (weld zone;WZ and
coarse grain heat affected zone;CGHAZ), quantitative phase fraction analysis, and
joint-level mechanical evaluation (Tensile strength test;TST and cross tension test;CTT)
for ER70S-6 and ER110S-G consumables. This approach enables direct clarification of
how consumable strength level alters local phase constitution and hardness distribution
and consequently shifts crack propagation behavior and failure characteristics in
APW joints.
2. EXPERIMENTAL
2.1 Base Metal and Welding Consumables
The base material used in this study was 1.0 mm thick cold-rolled CP1180 MPa AHSS
(0.2C-2.4Mn-1.3Si). This steel was chosen for its high yield strength (886 MPa) and
tensile strength (1185 MPa), critical for automotive structural components such as
chassis and seat frames. Nital etching and observation under optical microscope and
SEM revealed the microstructure of the BM primarily consists of martensite, along
with ferrite matrix with second phase islands such as bainite shown in Fig. 1. BM microstructure of 1180MPa steel used in this study. (a) Optical microstructure
(b) SEM microstructure (a) and (b) and retained austenite in small amounts (~<5%)
is also reported as per the reported literature[28].
Fig. 1. BM microstructure of 1180MPa steel used in this study. (a) Optical microstructure
(b) SEM microstructure
Two commercially available welding consumables were selected to assess the influence
of consumable strength level on the microstructure and mechanical properties of the
welds: ER70S-6 and ER110S-G. The chemical compositions and tensile strengths reported
in this study correspond to the actual consumables used, rather than only the minimum
nominal requirements of the American Welding Society (AWS) classifications. The ER70S-6
consumable (AWS A5.18) contained 0.08 wt.% C, 1.45 wt.% Mn, and 0.90 wt.% Si, with
a tensile strength of 530 MPa. The ER110S-G consumable (AWS A5.28) contained 0.10
wt.% C, 1.60 wt.% Mn, 0.60 wt.% Si, 1.40 wt.% Ni, 0.30 wt.% Cr, and 0.30 wt.% Mo,
with a tensile strength of 900 MPa. Since the “G” classification in AWS A5.28 does
not imply a single fixed chemistry, the actual alloying elements of the wire used
in this study are explicitly reported here. These alloying additions are important
because they influence hardenability, bainitic transformation, and fracture behavior.
Both consumables were used with a wire diameter of 1.0 mm. For clarity, welds made
using ER70S-6 are referred to as ER70 welds, while those made using ER110S-G are designated
as ER110 welds throughout this study.
2.2 Welding Procedure
The design of the APWs involved creating a 6.0 mm diameter hole in the top sheet,
as illustrated in Fig. 2a. Generally, RSW welding of steel requires a minimum of $4\sqrt{t}$ (t-thickness)
to ensure pull-out failure[29,
30]. Subsequently, plug welding is compared with RSW and found that APW hole diameter
of minimum 6.0 mm is the minimum required size to ensure $4\sqrt{t}$ effective weld
length (EWL) to ensure pullout failure. The sheets were then arranged in a lap joint
configuration, preparing them for welding. In the next stage, the placement of the
welding consumable was precisely controlled. Fig. 2b shows the alignment of the contact tip-to-work distance (CTWD), set at 15 mm. The
actual welding procedure, as depicted in Fig. 2c-e, was carried out using a GMAW technique. The process utilized a Fronius power source
(Transpuls synergic 3200) in conjunction with a YASKAWA robotic arm welding machine,
which ensured consistent and reproducible results across all samples. Welding was
performed in the 1G position with a fixed welding time of 1 second. This controlled
time frame facilitated the complete filling of the plug hole, resulting in an EWL
of approximately 6.0 mm at the sheet/sheet interface. A shielding gas mixture of 80%
Argon and 20% CO2 was used to protect the weld pool from oxidation, with a flow rate of 20 L/min. Optimization
of the parameters have been ensured by plug welding different samples by varying the
current, voltage and wire feed rate as shown in Fig. 3. A weld window has been created showing the no bonding condition, good joining and
burning through regions. The optimized parameters for each consumable type were selected
to achieve uniform weld deposition along with an EWL above 6 mm, as outlined in Table 1.
Fig. 2. Schematic representation and experimental setup of the APW methodology. (a)
Diagram of the specimen dimensions, highlighting a 6.0 mm circular hole for welding.
(b) Illustration of the Contact Tip to Work Distance (CTWD) and placement of the welding
torch above the circular hole before welding. (c-e) Step-by-step APW process: (f)
Micro-Vickers hardness measurement approach. Specimen dimensions for (g) Tensile shear
testing and (h) cross tension testing.
Fig. 3. (a) Weld window indicating no bonding region, plug welds and burn through
region for ER70 and ER110 weld conditions (b) Incomplete fill (c) Complete fill (d)
Burn through
Table 1. Optimized welding parameters for APWs in this study with two consumables.
|
|
Wire Feed rate [mm/min]
|
Current [A]
|
Voltage [V]
|
|
ER70S-6 (AWS A5.18)
|
6.0
|
110
|
19.7
|
|
ER110S-G (AWS A5.28)
|
6.5
|
121
|
19.1
|
2.3 Metallographic Examination
After welding, the samples were sectioned through the center of the weld for metallographic
analysis. The cross-sections were mechanically polished using standard procedures
described as per ASTM E3-11(2017) Standard Guide for Preparation of Metallographic
Specimens[31], followed by etching with 3% Nital to reveal the macro and microstructural features.
Initial examinations were performed using an optical microscope (Olympus BX51M) to
assess the effective weld length and overall geometrical features of the welds, followed
by microstructural identification. For a more detailed microstructural analysis of
the WZ and CGHAZ, scanning electron microscopy (SEM; JEOL JSM-7200F) and electron
backscatter diffraction (EBSD; Oxford Instruments) were employed at the Converging
Materials Core Facility of Dong-Eui University. This analysis allowed for phase identification,
while EBSD confirmed the phases present, offering more profound insights into the
microstructural characteristics of the welds[32]. In the CGHAZ, the distinction between lath bainite (LB) and granular bainite (GB)
was made using a combined criterion based on SEM morphology and EBSD features, rather
than a single parameter. LB was identified by elongated/lath-like morphology with
locally aligned packets and a high density of parallel lath boundaries (typically
expressed as frequent low-angle boundary segments in EBSD misorientation maps), whereas
GB was identified by a more irregular/equiaxed granular morphology with less directional
alignment and more heterogeneous local orientation gradients.
Quantitative phase fraction analysis was carried out on the WZ and CGHAZ using scanning
electron microscopy (SEM) images combined with digital image analysis. For each weld
condition (ER70 and ER110), a minimum of five representative SEM micrographs were
acquired at ×2000 magnification from different regions of the WZ and CGHAZ to ensure
statistical reliability. The images were analyzed using ImageJ software, where a thresholding
and segmentation procedure was applied to distinguish between AF, GB, LB, and GBF.
The gray-level contrast of the microstructural constituents was calibrated against
reference micrographs and confirmed by morphology. The area fraction of each phase
was determined by pixel counting, which, under stereological assumptions, corresponds
to the volume fraction.
2.4 Microhardness and Mechanical Testing
Microhardness profiles across the weldments were determined using a Vickers hardness
tester with a 300 g load applied for 10 seconds. Measurements were systematically
taken across the weld cross-section to capture hardness variations. The Vickers microhardness
measurements were taken at intervals of 0.2 mm to ensure accurate representation while
minimizing any potential effects of strain fields around the indentations, as shown
in Fig. 2f.
For mechanical testing, tensile-shear samples and cross-tension testing samples were
prepared by AWS standards[27,
28], as shown in Fig. 2g and Fig. 2h, respectively. These tests were conducted at a constant crosshead speed of 10 mm/min.
For each welding condition three specimens were tested to ensure repeatability. The
reported load–displacement curves represent the average behavior, and error bars or
shaded regions in the plots indicate the standard deviation across the three repetitions.
The fracture load and corresponding load-displacement curves were recorded for each
sample to assess the tensile shear performance of the different welds.
2.5 Fractography Analysis
Fractography analysis was performed on the fractured samples after mechanical testing
to comprehensively understand failure mechanisms. The initial examination involved
surface inspections using optical microscopy to identify macroscopic fracture features.
Subsequently, a more detailed analysis was carried out using SEM (JEOL JSM-7200F electron
microscope) Oxford EBSD software at the Converging materials core facility at Dong-Eui
University to examine the microstructural details associated with crack initiation
and propagation. For a thorough assessment, samples were cross-sectioned to expose
internal crack paths, while other specimens were analyzed without cross-sectioning
to examine surface fractures directly. This approach provided insights into the crack
initiation sites, propagation paths, and their correlation with the microstructural
features observed in the WZ and CGHAZ. Additionally, cross-tension testing samples
were subjected to similar analysis to determine fracture modes, correlating fracture
behavior with mechanical properties and microstructure.
3. RESULTS AND DISCUSSION
3.1 Macroscopic analysis of Arc-Plug welds
Fig. 4 presents the surface and cross-sectional images of APWs created using both ER70 and
ER110 welding consumables. Fig. 4a and Fig. 4d show the top surfaces of the welds made with ER70 and ER110, respectively, while
Fig. 4b and Fig. 4e display the corresponding bottom surfaces. These images show that both welds produced
circular shapes on both the top and bottom surfaces, indicating consistent deposition
and weld formation. A small cavity is observed on the top surface of both welds, which
could be attributed to the shrinkage cavities formed towards the end of the welding.
Pouranvari et.al. in his work reported porosity factor which has inverse proportionality
with critical weld size[33].
Fig. 4. Surface and cross-sectional views of APWs: Comparative images of ER70 and
ER110 welds showing (a, d) Top sheet surface, (b, e) Bottom sheet surface, and (c,
f) Cross-section at low magnification.
However, the porosity size below 10% as in cross sections shown in Fig. 4c and Fig. 4f can be permitted from the manufacturer’s guideline since cavity driven porosity is
inevitable in Zn coated steels.
Although small top-surface shrinkage cavities and micro-porosity were observed in
both weld conditions, their size remained within the manufacturer guideline range
and no marked difference in cavity severity was identified between ER70 and ER110
welds. Therefore, their influence on the comparative tensile-shear and cross-tension
performance is considered limited in the present study, and the observed differences
in load-displacement response and fracture behavior are primarily attributed to microstructural/hardness
variations rather than geometric pore defects. This interpretation is also supported
by the consistent pullout-type failure morphology and notch-driven crack initiation
observed in the fractography analysis.
The cross-sectional images, depicted in Fig. 4c and Fig. 4f, provide a more detailed view of the weld morphology, mainly focusing on three critical
geometrical features: the Top Reinforcement Length (TRL), EWL, and Bottom Penetration
Length (BPL). These dimensions are crucial for understanding the overall integrity
and mechanical performance of the welds. For the ER70 welds, the TRL was measured
at 8.5 ± 0.4 mm, the EWL at 6.1 ± 0.2 mm, and the BPL at 6.8 ± 0.3 mm. Similarly,
the ER110 welds exhibited a TRL of 8.3 ± 0.3 mm, an EWL of 6.0 ± 0.3 mm, and a BPL
of 7.0 ± 0.3 mm. These measurements show that the welds produced with both types of
welding consumables show similar lengths across the top, middle and bottom sections
of the welds with only slight variations. A key observation from these measurements
is that the TRL is consistently longer than both the EWL and BPL for both ER70 and
ER110 welds. This trend can be explained by the deposition behavior of the welds,
which aligns with findings from previous literature[16,
23,
34]. The initial deposition during welding tends to occur at the center of the hole,
where the welding consumable first contacts the bottom sheet. As the welding progresses,
heat energy generated by the process aids in melting both the welding consumable and
the bottom sheet, leading to material deposition primarily at the top sheet in the
later stages of welding. This results in a greater accumulation of material at the
top, contributing to the longer TRL.
These findings are consistent with previous studies, which have similarly reported
the relationship between TRL, EWL, and BPL in welds produced under comparable conditions[37,
38]. The analysis of the weld morphology, as illustrated in Fig. 4, highlights the effectiveness of the welding parameters in achieving consistent weld
dimensions across different weld sections. The observed dimension similarity between
the welds produced with ER70 and ER110 consumables underscores the reliability of
the optimized welding conditions. The longer TRL compared to EWL and BPL is indicative
of the deposition patterns during welding, which agrees with existing literature on
the subject[17].
3.2 Microstructural characterization after welding
The microstructural characteristics of the APWs fabricated with ER70 and ER110 welding
consumables were analyzed using optical microscopy and SEM to identify differences
in the WZ and CGHAZ. As illustrated in Fig. 5a and Fig. 5b, the cross-sectional view highlights the areas of interest marked for detailed microstructural
analysis. WZ and CGHAZ are particularly examined due to their importance in determining
the failure mode as per previous reports[25].
In the WZ, Fig. 5e for ER70 welds reveals the presence of GBF, AF, and quasi-polygonal ferrite (QPF).
These phases contribute to a more ductile weld, enhancing toughness. In contrast,
the ER110 WZ, shown in Fig. 5f, predominantly consists of LB and GB, with a smaller fraction of AF. This microstructural
composition in ER110 indicates a more complex, more brittle weld, aligning with the
higher strength properties of the ER110 consumable[25].
The CGHAZ microstructures are depicted in Fig. 5g for ER70 and Fig. 5h for ER110. Both welds exhibit bainitic structures; however, the ER110 welds demonstrate
a finer and more uniform distribution of LB and GB than the ER70 welds. This refined
microstructure will likely contribute to the increased hardness and strength observed
in mechanical testing for the ER110 welds. These observations are consistent with
previous studies, which reported similar phase distributions in the CGHAZ of welds
made with high-strength steels[25].
Multiple SEM micrographs were analyzed to determine the phase fractions within the
WZ and CGHAZ to further quantify these microstructural differences. The quantitative
data is represented in bar charts in Fig. 5a-b. For the ER70 WZ, the microstructure predominantly comprises 65% AF and 35% GBF,
suggesting a weld with enhanced ductility due to the higher fraction of AF. In contrast,
the ER110 WZ comprises approximately 48% AF, 20% GB, and 32% LB, indicating a more
robust but less ductile weld structure. In the CGHAZ, ER70 and ER110 welds predominantly
feature LB and GB phases, although the ER110 welds show a more refined phase distribution.
This refined microstructure contributes to the increased strength and hardness of
the ER110 welds[27].
Fig. 5. Cross sectional images of APW with investigation area highlighted (a) ER70
(b) ER110 Welds. (c-d) Optical micrograph of the region of interest (c) ER70 and (d)
ER110 welds. SEM Micrographs: (e)ER70 WZ (f) ER110 WZ (g) ER70 CGHAZ (h) ER110 CGHAZ.
Fig. 6. (a-b) Quantified phase fractions in the WZ and CGHAZ for ER70 and ER110 welds
For clarity, the LB/GB classification in the CGHAZ was interpreted from the combined
appearance of IQ/IPF maps and line-misorientation behavior: regions showing elongated
bainitic units with repeated fine misorientation peaks along aligned boundaries were
classified as LB, while regions with non-lath, granular bainitic morphology and comparatively
discontinuous/heterogeneous misorientation variations were classified as GB. This
combined interpretation was used consistently for both ER70 and ER110 welds. To confirm
the phases identified in the optical and SEM images, additional analysis was conducted
using EBSD. This step was crucial due to the complexities involved in confirming bainitic
structures solely based on morphology.[32,
36]. The EBSD images, presented in Fig. 7 and Fig. 8, provide a comparative analysis between the WZ and CGHAZ for ER70 and ER110 welds
respectively.
For the ER70 WZ, misorientation mapping was conducted along lines AA' and BB'. The
data from line AA' (Fig. 7e) displayed two significant peaks corresponding to primary grain boundaries and multiple
smaller peaks indicative of sub-boundaries. These features are characteristic of GBFs.
In contrast, line BB' (Fig. 7f) exhibited more frequent and pronounced peaks, which are typical of AF due to its
distinct substructural morphology[37]. These observations confirm the presence of GBF and AF phases, suggesting a relatively
ductile microstructure in the ER70 WZ. In the ER110 WZ, misorientation analysis was
performed along lines CC' and DD'. The results along line CC' revealed two distinct
zones: the first with a large misorientation angle exceeding 50°, which is indicative
of LB, while the second zone along line DD' (Fig. 7g-h) showed higher peaks within the grains, confirming the presence of GB. Additionally,
AF was noted, exhibiting similar characteristics to those observed in the ER70 WZ
but in lower proportions. The overall structure of the ER110 WZ is more complex, with
a combination of LB, GB, and AF phases contributing to its increased hardness and
reduced ductility[37,
38].
The EBSD analysis revealed that the ER70 WZ is predominantly characterized by GBF
and AF phases, which contribute to a more ductile weld structure with enhanced toughness.
In contrast, the ER110 WZ displayed a combination of LB, GB, and AF, resulting in
a harder but more brittle structure. The higher strain localization observed in the
ER70 WZ, as indicated by the misorientation angles, suggests better crack propagation
resistance than the more intricate grain structure of the ER110 WZ.
In the CGHAZ, the EBSD IQ maps and IPF images (Fig. 8) showed a generally uniform grain structure for both welds but with notable grain
size and morphology differences. For the ER70 CGHAZ, misorientation mapping confirmed
the presence of LB and GB phases with relatively lower misorientation angles, suggesting
a more relaxed microstructure. The larger grain boundaries in this region are consistent
with softer and more ductile behaviour. For the ER110 CGHAZ, misorientation mapping
along lines AA' and BB' (Fig. 8b, e, f) confirmed the presence of GB and lath boundaries, which were identified by frequent
peaks with low misorientation angles. The analysis along lines CC' and DD' (Fig. 8g-h) revealed a more refined and uniform grain structure, particularly with LB and GB
phases, indicating higher hardness and strength. These refined grains are likely contributing
to the enhanced performance of the ER110 welds under mechanical testing[38].
A mix of LB and GB characterizes the CGHAZ of both ER70 and ER110 welds but with significant
differences in the grain structure. The ER70 CGHAZ exhibited larger grain sizes, promoting
ductility, whereas the ER110 CGHAZ showed a finer and more uniform grain distribution,
which correlates with its higher hardness. The misorientation mapping further highlighted
the complex grain structure in the ER110 CGHAZ, aligning with the observations from
the SEM analysis.
Fig. 7. Combined EBSD analysis of WZs: (a-b) IQ and IPF images for the ER70 weld;
(c-d) IQ and IPF images for the ER110 weld. Misorientation line maps: (e) AA' showing
GBF, (f) BB' showing AF, (g) CC' showing GB, and (h) DD' showing AF.
Fig. 8. CGHAZ EBSD comparison: ER70: (a) IQ, (b) IPF; ER110: (c) IQ, (d) IPF. Misorientation:
(e) AA' showing GB, (f) BB' showing LB, (g) CC' showing GB, (h) DD' showing LB.
3.3 Microhardness
Fig. 9 illustrates the microhardness distribution across the cross-section of the APWs for
both the ER70 and ER110 welding consumables. The BM exhibited an average hardness
value of approximately 365 HV, as determined from readings taken symmetrically on
either side of the weld. This baseline is a reference point for comparing the hardness
variations observed in the WZ and the HAZ of both welds.
Fig. 9. Microhardness distribution across the welds.
A distinct hardness difference was observed between the two consumables in WZ. The
ER70 welds showed a lower hardness of around 300 HV, whereas the ER110 welds exhibited
a significantly higher hardness, averaging around 450 HV. This variation in hardness
can be directly correlated to the phase fractions identified in each WZ. As detailed
in Fig. 6a and Fig. 6b, the ER110 WZ consists of a complex microstructure comprising 48% AF, 20% GB, and
32% LB. The presence of LB and GB, known for their high hardness and strength, accounts
for the increased hardness in ER110 WZ. Conversely, the ER70 WZ predominantly comprises
AF and GBF, with 65% and 35% phase fractions, respectively. The higher proportion
of AF, typically less hard than LB and GB, results in lower hardness in the ER70 WZ.
The hardness profiles in the HAZ were consistent across both welds, with minimal variation.
However, within the CGHAZ, which is adjacent to the WZ, a notable increase in hardness
was detected. The CGHAZ of the ER110 welds demonstrated a slightly higher hardness
than the ER70 welds. This difference can again be attributed to the phase distribution
within the CGHAZ, as represented in Fig 6b. Quantitative analysis revealed that the CGHAZ of the ER110 welds comprised 55% LB
and 45% GB, whereas the ER70 welds had a CGHAZ composed of 42% LB and 58% GB. The
higher fraction of LB in the ER110 CGHAZ contributes to its increased hardness, aligning
with the microstructural observations from the optical and SEM analyses.
In addition to the differences in C, Mn, and Si contents, the higher hardness and
bainitic microstructure observed in the ER110 welds are also interpreted in relation
to the additional Ni-Cr-Mo alloying of the ER110S-G consumable, which increases hardenability
and promotes low-temperature transformation products. This alloying effect is considered
to contribute to the higher weld zone hardness and the relatively brittle fracture
tendency observed in the ER110 welds[25,
27].
3.4 Tensile shear testing
Figure 10 (a) compares the load–displacement responses of ER70 and ER110 welds. The plotted curves
correspond to the average of three repeated tests per condition. The average maximum
load for ER70 welds was 13.8 ± 0.4 kN, while that for ER110 welds was 15.2 ± 0.3 kN,
where the values after “±” represent the standard deviation. The relatively small
scatter indicates good repeatability of the tensile shear test results. The peak load
of ER110 welds has marginally superior mechanical properties compared to ER70 welds.
Both types of welds experienced bottom pullout failure, as depicted in Fig. 10b-g. This failure mode is characterized by the complete detachment of the weld button
from the bottom sheet, which may remain attached to the top sheet. This phenomenon
is visible in the fracture surface images in Fig. 10b and Fig. 10e. The detailed fracture surfaces of the ER70 welds are presented in Fig.10c and Fig. 10d, where the complete pullout of the button and the resulting hole in the bottom sheet
can be observed. Similarly, Fig. 10f and Fig. 10g depict the fracture surfaces of the ER110 welds, where the button is equally detached
from the bottom sheet, indicating a consistent failure mode across both weld types.
The surface images from Fig. 10b and Fig. 10e confirm that in both welds, the weld button was completely pulled out from the bottom
sheet and attached to the top sheet. The bottom pullout failure is further corroborated
by the images in Fig. 10c and Fig. 10d for the ER70 welds and Fig. 10f and Fig. 10g for the ER110 welds. In both cases, the button remains attached to the top sheet,
while a hole is observed in the bottom sheet, confirming the nature of the failure.
Additionally, signs of yielding can be observed on the fractured surfaces of the ER70
welds in Fig. 10c and Fig. 10d, and similar observations are made for the ER110 welds in Fig. 10f and Fig. 10g. The consistent bottom pullout failure in both welds may be attributed to differences
in weld geometrical features, particularly the disparity between the TRL and BPL.
The longer TRL compared to the BPL in all cases suggests that cracks originating from
the notch propagate more readily into the bottom sheet than the top sheet, contributing
to the observed failure mode.
Despite having similar nugget sizes and geometrical attributes, the slight differences
in TSS between the ER70 and ER110 welds suggest that the microstructural characteristics
play a crucial role in determining mechanical performance. The load-displacement curves
for both welds share similar characteristics, with a linear increase in load up to
the peak value, followed by two distinct drops in the curves.
Fig. 10 (a) Load-displacement curves from the TST; (b) and (c) show the fracture surfaces
of ER70 and ER110 welds, respectively, with pullout failure; (d) and (e) display the
bottom sheet and interface at the top sheet of the ER70 fracture sample; (f) and (g)
show the interface and top sheet view of the ER110 fracture sample.
3.5 Fractography analysis
To gain detailed insights into the fracture behavior of ER70 and ER110 welds, a comprehensive
fractography analysis was conducted using two complementary techniques: cross-sectional
analysis and SEM observation of non-sectioned samples. The primary objective was identifying
the crack initiation sites, tracing the crack propagation paths, and correlating the
observed fracture features with the underlying microstructural characteristics and
hardness distribution.
Cross-sectional views of the fractured samples (Fig. 11a and Fig. 11c) for both ER70 and ER110 welds reveal the primary crack locations responsible for
the observed pullout failures. The fracture samples were sectioned along the loading
axis, focusing on the bottom sheet where fracture predominantly occurred. In both
welds, the bottom sheet fractured along the loading direction, with the top sheet
exhibiting fractures towards the end of the tensile test due to the bending moment.
In ER70 welds, as shown in Fig. 11b, the crack path is initiated at the notch and propagated through the WZ or fusion
boundary. In contrast, in ER110 welds (Fig. 11d), the crack also originated at the notch but propagated through the CGHAZ. The notch-induced
crack initiation is a characteristic feature of such welds, as documented in previous
studies[16,
20,
21].
The differences in crack paths can be attributed to the variations in hardness and
microstructural features across WZ. As highlighted by[30,
39-42]., the hardness distribution is critical in influencing the crack path during TST
of spot welds. The lower hardness in the ER70 WZ (~300 HV) compared to the CGHAZ (~450
HV) made the WZ more susceptible to fracture, whereas the more uniform hardness in
ER110 welds led to crack propagation through the CGHAZ. The microstructural differences,
particularly the higher presence of LB in the CGHAZ of ER110 welds compared to the
AF in the WZ, further explain this behavior.
SEM analysis provided a more detailed examination of the fractured surfaces, with
Fig. 12 and Fig. 13 presenting the fracture features of ER70 and ER110 welds, respectively. For ER70
welds (Fig. 12), the SEM images reveal a bottom pullout failure, with the primary crack initiating
at the notch (Fig. 12c) and propagating through the WZ. The presence of intergranular cracking is evident
in Fig. 12d, while Fig. 12e and Fig. 12f display smaller cleavage facets and dimple features, indicative of ductile fracture.
These observations suggest that the crack propagated through the AF and GBF phases,
consistent with the microstructural features identified in the WZ.
In the case of ER110 welds (Fig. 13), the SEM images similarly reveal a bottom pullout failure, with crack initiation
at the notch (Fig. 13c) and propagation through the CGHAZ. Intergranular cracking is observed in Fig. 13d, with large cleavage facets in Fig. 13f, characteristic of brittle fracture. These features are associated with LB and GB
in the CGHAZ, as identified in the microstructural analysis.
The fractography analysis confirms the significant influence of microstructural features
on the crack initiation and propagation behavior in both ER70 and ER110 welds. In
ER70 welds, the lower hardness and the presence of AF in the WZ contributed to a more
ductile fracture, with cracks propagating through the WZ. Conversely, in ER110 welds,
the uniform hardness distribution and brittle phases like LB and GB in the CGHAZ led
to a more brittle fracture, with cracks propagating through the CGHAZ.
The observation of intergranular fractures in both welds is particularly noteworthy,
as such fractures are often associated with lower toughness and increased susceptibility
to failure. This emphasizes the importance of controlling microstructural features
during welding to optimize the mechanical performance of the welds under tensile shear
loading. The findings align with existing literature, highlighting the critical role
of microstructure in determining the fracture behavior of welds[30,
42,
43].
Fig. 11 (a) Representative image of the cross-section of the fracture sample highlighting
the crack location in the bottom sheet responsible for pullout fracture, with corresponding
crack locations for (b) ER70 welds and (d) ER110 welds.
Fig. 12. Fractography of ER70 welds: (a) SEM image of the button showing fracture
morphology, (b) Overview of crack initiation and propagation, (c-f) Detailed analysis
of intergranular cracking and fracture paths in the WZ, confirming ductile fracture
behavior
Fig. 13. Fractography of ER110 welds: (a) SEM image of the button showing fracture
morphology, (b) Crack initiation and propagation path, (c-e) Detailed analysis of
intergranular cracking and cleavage facets in the CGHAZ, indicating brittle fracture
behavior
3.6 Fracture Mechanism of APWs with Different Welding Consumables
The fracture mechanism of APWs, fabricated using ER70 and ER110 welding consumables,
exhibits distinct differences that are critical to understanding their tensile shear
performance. This section synthesizes the observations from microscopy, tensile shear
testing, and fractography to provide a comprehensive analysis of these differences,
as illustrated in Fig. 14.
Fig. 14(a) presents a schematic that delineates the tensile shear performance of the welds into
three distinct stages, superimposed on the representative load-displacement curves.
These stages are crucial in understanding the fracture mechanisms of the APWs.
In Stage 1, the load increases with displacement, showing similar behavior for both
ER70 and ER110 welds. This stage corresponds to the elastic deformation of the welds
and the surrounding material, where the structure remains intact, and no visible cracks
are present. As discussed in the tensile shear performance section, the load continues
to increase until the peak load is reached. This stage is characterized by the elastic-plastic
transition, which occurs uniformly in both weld types due to the similar material
properties and weld geometry at this point.
Stage 2 Crack Initiation and Propagation: it begins once the peak load is attained,
where the primary crack initiates at the notch, marking the transition from elastic
to plastic deformation. This stage is where critical differences in crack propagation
between ER70 and ER110 welds become evident, as illustrated in Fig. 14b. The crack initiation at the notch leads to a drop in load-bearing capacity as the
crack begins to propagate towards the bottom sheet, influenced by the geometric features
of the weld.
The fractography analysis provided in Figs. 12 and 13 revealed that in ER70 welds, the crack predominantly propagates through the WZ. This
behavior is largely attributed to the lower hardness of the WZ (~300 HV) compared
to the CGHAZ (~450 HV), as highlighted in the microstructural analysis. The presence
of AF in the WZ contributes to a lower resistance to crack propagation, making it
the path of least resistance. In contrast, for ER110 welds, the crack propagates through
the CGHAZ, where the microstructure is dominated by LB, which is harder, and more
brittle compared to the WZ. The higher hardness and the presence of bainitic microstructures
in the CGHAZ (~450 HV) create a preferred path for crack propagation in ER110 welds,
leading to different fracture characteristics as the crack progresses. During this
stage, circumferential growth of the crack occurs, further compromising the load-bearing
capacity of the weld. As the crack extends, the structural integrity is further reduced,
and towards the end of Stage 2, the bending moment generated during tensile shear
testing initiates a secondary crack on the opposite side of the weld, which moves
toward the top sheet.
Stage 3 is characterized by the progression of the secondary crack towards the top
sheet, primarily within the WZ. This stage occurs due to the significantly reduced
load-bearing area, leading to the final fracture. The bottom pullout failure, accompanied
by a secondary crack in the top sheet, as shown in Fig.7f and Fig. 8g, is the ultimate result of this stage. The difference in fracture mechanisms between
the two weld types is a direct consequence of their microstructural features and hardness
distributions. The lower hardness of the ER70 WZ makes it more susceptible to crack
initiation and propagation, resulting in a WZ-dominated fracture. Conversely, the
higher hardness and more brittle microstructure of the CGHAZ in ER110 welds drive
the crack through this region, leading to a different fracture path and failure mode.
Fig. 14. Schematic of fracture stages in APWs: (a) Load-displacement curve overlaid
with schematic showing three fracture stages during tensile shear testing, (b) Schematic
illustrating crack propagation differences between ER70 and ER110 welds, correlating
with microstructural features.
3.7 Cross tension testing of APWs
Figure 15(a) shows the representative load–displacement curves obtained from the cross-tension
tests of ER70 and ER110 welds. The curves correspond to the average of three repeated
tests per condition. The average maximum CTS load for ER70 welds was 4.8 ± 0.18 kN,
while for ER110 welds it was 5.35 ± 0.2 kN, where the values following “±” represent
the standard deviation. The relatively small scatter confirms the good repeatability
of the CTS results. Despite this similarity in peak load, the load-displacement curves
for the two weld types reveal significant differences in their mechanical responses.
The ER70 welds displayed a much smoother curve, characterized by gradual yielding,
indicative of ductile behavior. In contrast, the ER110 welds demonstrated a sudden
drop in the load-displacement curve, signifying a brittle failure mechanism.
Fig. 15. Cross tension testing (CTT) and fracture analysis: (a) Load-displacement
curves from CTT, (b-c) Fracture surfaces of ER70 welds indicating ductile failure,
(d-e) ER110 welds showing partial pullout and brittle fracture, highlighting the mechanical
response under cross tension conditions.
The fracture surfaces provide further insights into these mechanical responses. Fig. 15b and Fig. 15(c) depict the fracture images for the ER70 welds, with Fig. 15b showing the interface side of the top sheet and Fig. 15c showing the bottom sheet, where a hole is observed on the bottom side. The fracture
morphology indicates that a bottom pullout failure occurred in the ER70 welds, with
the complete weld button remaining attached to the top sheet. This type of failure
is consistent with the ductile nature suggested by the smooth load-displacement curve.
On the other hand, Fig. 15d and Fig.15(e) shows the fracture images for the ER110 welds, where the button remained attached
to the bottom sheet (Fig. 15d), and a hole was observed on the top sheet (Fig. 15e). This fracture pattern indicates that during testing, the crack propagated towards
the top sheet, following the path along the WZ, which aligns with the brittle failure
mechanism observed in the load-displacement curve. The observed differences in fracture
behavior between the ER70 and ER110 welds can be attributed to the microstructural
variations in the WZ and the CGHAZ of each weld, as discussed earlier in Section 3.5.
In the ER70 welds, the presence of GBF and AF within the WZ likely contributed to
the increased ductility, allowing for a smoother load-displacement curve and ensuring
a complete pullout failure. In contrast, the ER110 welds exhibited a more brittle
fracture behavior, which can be linked to the presence of LB and GB in the WZ. These
microstructural constituents tend to exhibit lower ductility, leading to the sudden
drop in the load-displacement curve and the observed brittle fracture mode during
cross tension testing.