Accepted Manuscript
Resistance spot welding joints of AISI 316L austenitic stainless steel sheets:
Phase transformations, mechanical properties and microstructure characteriza-
tions
Danial Kianersi, Amir Mostafaei, Ahmad Ali Amadeh
PII: S0261-3069(14)00350-1
DOI: http://dx.doi.org/10.1016/j.matdes.2014.04.075
Reference: JMAD 6466
To appear in: Materials and Design
Received Date: 30 January 2014
Accepted Date: 29 April 2014
Please cite this article as: Kianersi, D., Mostafaei, A., Amadeh, A.A., Resistance spot welding joints of AISI 316L
austenitic stainless steel sheets: Phase transformations, mechanical properties and microstructure characterizations,
Materials and Design (2014), doi: http://dx.doi.org/10.1016/j.matdes.2014.04.075
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1
Resistance spot welding joints of AISI 316L austenitic stainless steel sheets:
Phase transformations, mechanical properties and microstructure
characterizations
Danial Kianersi a, Amir Mostafaei b,* , Ahmad Ali Amadeh c
a Department of Materials Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
b Young Researchers and Elites Club, Tehran North Branch, Islamic Azad University, Tehran, Iran
c School of Metallurgy and Materials Engineering, College of Engineering, University of Tehran, Tehran, Iran
Abstract
In this paper, we aim to optimize welding parameters namely welding current and time in
resistance spot welding (RSW) of the austenitic stainless steel sheets grade AIAI 316L.
Afterward, effect of optimum welding parameters on the resistance spot welding properties and
microstructure of AISI 316L austenitic stainless steel sheets has been investigated. Effect of
welding current at constant welding time was considered on the weld properties such as weld
nugget size, tensile-shear load bearing capacity of welded materials, failure modes, failure
energy, ductility, and microstructure of weld nuggets as well. Phase transformations that took
place during weld thermal cycle were analyzed in more details including metallographic studies
of welding of the austenitic stainless steels. Metallographic images, mechanical properties,
electron microscopy photographs and micro-hardness measurements showed that the region
between interfacial to pullout mode transition and expulsion limit is defined as the optimum
*Corresponding author: Amir Mostafaei, Tel.: +989126216801;E-mail address:[email protected] and [email protected]
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welding condition. Backscattered electron scanning microscopic images (BE-SEM) showed
various types of delta ferrite in weld nuggets. Three delta ferrite morphologies consist of skeletal,
acicular and lathy delta ferrite morphologies formed in resistance spot welded regions as a result
of non-equilibrium phases which can be attributed to the fast cooling rate in RSW process and
consequently, prediction and explanation of the obtained morphologies based on Schaeffler,
WRC-1992 and Pseudo-binary phase diagrams would be a difficult task.
Keywords: Resistance spot welding; AISI 316L austenitic stainless steel; Welding parameters
optimization; Mechanical properties; Microstructure characterization; Phase transformations.
1. Introduction
In recent years, iron and its derivations have been used in wide range of applications such as
vehicles, ships, bridges and buildings due to their machining abilities, mechanical properties, and
low prices. Different welding methods have been utilized in manufacturing industries such as gas
tungsten arc welding (GTAW), submerged arc welding (SAW), shielded metal arc welding
(SMAW), flux core arc welding (FCAW), and resistance spot welding (RSW). Among them,
RSW is extensively used in manufacturing processes due to its repeatability, inexpensive
equipment, and easily controllable process [1] for joining of metal sheets such as iron and steels
[2], aluminum alloys [3], magnesium alloys [4], titanium alloys [5]. Also RSW has been utilized
to investigate physical and mechanical properties of different joint metals (dissimilar materials)
such as iron-aluminum [6] and/or steel-galvanized iron [7]. In RSW method, overlapping sheets
are placed between two electrodes and heat is obtained by passing a large electrical current for a
short period of time [8]. Afterward, electrical resistance at the metals interface causes a localized
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heating for joining and finally, the resistance spot welded region will be produced by the
combination of heat, pressure and applied process time [9].
Stainless steels, especially low carbon grades, have been widely used in various industrial
applications such as appliance manufacturing due to their corrosion resistance and proper
decorative appearance at ambient atmosphere. Stainless Steel grade 316L is one of the most
important types of austenitic stainless steels which consists of austenite and ferrite phases in the
microstructure. As it was reported, this grade is widely used in various industrial applications
due to its high corrosion resistance [10], decorative appearance, and excellent weldability [11].
Moreover, low carbon content declines formation of carbides in the grain boundaries within
welding [12].
However, one major drawbacks of the austenitic stainless steel is the heat affected zone
(HAZ) in which intergranular Cr-rich carbide precipitation forms during welding process and
leads to the reduction of corrosion resistance in welded joint [13]. In order to solve this issue,
two ways were suggested [14, 15]: (1) use of austenitic stainless steel with low carbon content
such as AISI 316L and (2) rapid welding process of RSW which can decrease the formation of
these undesired carbides. Based on Fukumoto et al. report, hot cracking is another issue which
occurs in the welded region [16]. It is reported by Fukumoto et al. that a small amount of delta
ferrite in the microstructure of the weld nugget can prevent hot cracking problem and may
reduce sensitization in HAZ welded regions [16].
There are some predictive diagrams for evaluation of the microstructure of welds such as
conventional Schaeffler and WRC-1992. It has been mentioned that the majority of these
diagrams have been developed based on the chemical composition of the base metal and
solidification rate of the weld metal has not been considered. Since rapid solidification may
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change microstructure of the welded regions [14, 15], it would be quite difficult to predict
morphology of weld based on these diagrams. Pseudo-binary phase diagram can predict
solidification modes and the microstructure of welded zones of the austenitic stainless steel
versus changes in the proportion of Creq/Nieq or cooling rate. According to this diagram, the
microstructure and solidification modes of welded zones will change from fully austenite (A) to
fully ferrite (F) mode with variation of Creq/Nieq or cooling rate [14, 15].
In this study, for improving multiple welding characteristics including nominal weld nugget
size, smaller HAZ, tensile-shear load bearing capacity of welded materials, failure modes, and
failure energy, the optimization studies were devised. Obtained optimum condition was chosen
for mechanical and microstructure investigations. The mechanical properties were investigated
by microhardness profile and tensile-shear tests. Additionally, the microstructure of the welds
was studied by metallographic investigations and scanning electron microscopy (SEM) methods.
Chemical composition at different regions of weld nuggets was evaluated by Energy Dispersive
Spectroscopy (EDS). The predictive Schaeffler, WRC-1998 and pseudo-binary phase diagrams
have been also used to investigate the welds microstructure. As it was expected, rapid welding
process led to the formation of complex microstructures in HAZ and weld regions and
consequently, it elaborated prediction of the formed phases in welds.
2. Materials and experimental methods
2.1. Materials and methodologies
Austenitic stainless steel sheet grade 316L (UNS 31603), with a thickness of 1 mm and
chemical composition given in Table 1 was used as the base metal. Fig 1a shows dimension of
the specimen which was welded by RSW method (linear overlapping of plates). Fig. 1b
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demonstrates geometric morphology of the nugget and Fig. 1c depicts selected resistance spot
welded 316L austenitic stainless steel sheets. Austenitic stainless steel sheet was cut into pieces
in dimensions of 105 mm ×45 mm according to ANSI/AWS/SAE/D8.9 standard [17] and were
spot welded by using a 150 kVA pedestal-pneumatic RSW machine. The welding procedure was
carried out by using water cooled conical Cu–Cr electrodes with a constant surface of electrodes
(4 mm face diameter) according to ANSI/AWS/SAE/C1.1-66 standard [18]. Initially, in order to
determine optimum manufacturing parameters on the morphological feature and mechanical
properties, changes in welding current from 4 to 9 kA, and welding time from 4 to 7 cycles, were
considered. After determination of optimum welding condition, the welding currents were
selected between 4 to 9 kA with 1 kA step-rise and other welding parameters such as squeeze
time, welding time, holding time, electrode force were kept constantly which were given in
Table 2.
2.2. Mechanical studies and metallographic evaluations
All specimens were prepared for tensile–shear test according to ANSI/AWS/SAE/D8.9
standard [17]. The tensile-shear tests were performed with Santam universal testing machine
with 5 tons capacity at a constant cross head displacement rate of 2 mm.min-1. Failure modes
were studied from failed specimens and it was calculated by measuring the area under the load-
displacement curve up to the maximum tensile-shear load [19, 20]. Failure energy, which is the
area under the stress-strain curve up to the maximum load, and peak load, which is measured as
the maximum point in the tensile-shear curve, were extracted from the obtained load-
displacement curves. Additionally, the Vickers microhardness examinations across the weld
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nugget, HAZ and base metal were carried out on the metallographic specimens by Struers
(Duramin model) under indentation load of 50 g for 10 s.
The longitudinal sections through the weld nuggets as well as the similar sections of the base
metals were prepared according to metallographic procedure in ANSI/AWS/SAE/D8.9 standard
[17]. The solution of 10 mL nitric acid, 15 mL hydrochloric acid, 10 mL acetic acid and two
drops of glycerin was used to etch specimens [17]. The optical microscopic studies of the welded
samples were performed by Olympus (model BX60) and scanning electron micrographs of the
samples were analyzed using SEM (Philips model XL30), equipped with an energy dispersive X-
ray (EDS) to investigate the microstructure and chemical composition of the weld. Image
analyzer computer program was used to measure macroscopic diameter of weld nuggets.
3. Results and discussion
3.1. Optimization studies on welding current and time
In the first place, the effect of welding current and time on various parameters including
nugget diameter size, welding penetration, width and thickness of HAZ, peak load, failure
energy, indentation depth, and penetration rate were meticulously considered and obtained
results were presented in Fig. 2.
Fig. 2a showed discrepancies of nugget diameter size versus welding current and time. As it
can be seen, nugget size increased within increasing of welding current and time. In fact, the
main reason can be attributed to the higher heat input amount which leads to the formation of
nugget with bigger fusion zone. In the other words, when the welding current and/or time
increases, plates expose to higher amount of head input which may lead to the formation of
width and thick nugget. In addition, welding penetration increased by the growth of fusion zone
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(Fig. 2b). Width and thickness of HAZ were measured on the metallographic cross sections.
Obtained results revealed that width of HAZ increased by increasing welding current and time
(Fig. 2c), in contrast, thickness of HAZ decreased by increasing welding current and time (Fig.
2d). In fact, when fusion zone increases, weld with larger nugget size will form and
consequently, thickness of HAZ declines. Variations of two important output results including
tensile-shear load bearing capacity (peak load) and failure energy, which were obtained from
stress-strain diagram, versus welding current and time were presented in Fig. 2e and 2f. Since
higher failure energy is desired in RSW manufactured samples, so based on the Fig 2f, the best
welding condition can be obtained in 8 kA welding current and 4 cycles welding time. What is
more, Fig. 2e revealed that the higher amount of tensile-shear load bearing capacity or peak load
can be attained when welding current is 8 kA. Another important manufacturing parameter
which affects appearance of the welded sample is indentation depth (Fig. 2g). In fact, this item is
quite important when decorative issues are one of the most important factors in the
manufacturing process. The amount of indentation depth may affect nugget size and more
importantly mechanical properties of the final products. Thus, this parameter should be
optimized as well and in this study, range of 0.4 to 0.5 mm was in the acceptable amounts. The
other important factor governing the mechanical performance of the manufactured samples with
RSW is penetration rate and it can be calculated based on the following equation:
Fig. 2h showed variations of penetration rate versus welding current and time. As it can be
seen, welding current has an important role in this parameter and obtained results showed that
acceptable condition can be achievable in 8 kA welding current.
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At the end, since higher amount of failure energy can be the other important parameter in
RSW process and depicts that mechanical properties of the manufactured samples are reliable,
thus in this study, 4 cycles welding time and 8 kA welding current are the optimum
manufacturing conditions. In the following, welding time was kept constant at 4 cycles in order
to deeply investigate the influence of welding current on the mechanical and microstructural
properties of weld nuggets.
3.2. Effect of welding currents on weld nuggets diameter size, tensile-shear load bearing
capacity and failure energy of welded materials
There are several factors which influence physical and mechanical properties of welded
structure namely weld nugget diameter, weld penetration, strength and ductility of the welded
region, surface appearance and sudden internal discontinuities caused by presence of pits and
cracks [11]. Hasanba•o• lu et al. reported that among all these factors, the most important
parameter affecting tensile-shear load bearing capacity is weld nugget diameter size [21].
Fig. 3 shows the variation of weld nugget diameter versus different welding currents. As can
be seen in Fig. 3, weld nuggets diameter increased when the welding current increased from 4 to
9 kA. What is more, based on the presented results in Fig 2a, welding time has the same effect on
the nugget size.
Fig. 4a indicates schematic of the stress-strain curve (load-displacement) of the welded
samples. Two areas are determined which are peak load and failure energy. In Fig. 4a, the area
under the load-displacement (stress-strain curves) up to the peak load is the amount of failure
energy. Fig. 4b illustrates stress-strain curves of spot welds during tensile-shear test and Fig 4c
summarized changes in tensile-shear load bearing capacity of welded materials with different
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welding currents. As seen in Fig. 4d, the amount of energy absorption increases within
increasing in welding current up to 8 kA. As it was reported by Pouranvari et at., when welding
current increases, the amount of failure energy increases as well [22]. Fig 4d illustrates variation
of failure energy versus welding current. However, in the case of 9 kA welding current, energy
absorption declines and it depicted that mechanical property of the sample which was welded by
9 kA welding current decreased. This reduction in the amount of energy absorption and tensile
shear load can be attributed to drifting out of the molten materials of the weld nugget due to
generation of high heat input in 9 kA welding current.
According to Fig. 3 and Fig. 4, it is obvious that the weld nugget diameter and tensile-shear
load bearing capacity of welded materials were increased by stepping up a welding current from
4 kA to 8 kA. In the other word, tensile-shear load force of welded specimens increased by
increasing of heat input which was related to welding currents. It was reported by Pouranvari et
al. [8] that the enhancement in tensile-shear force of weld with increasing of welding current is
related to the weld nugget diameter size. Additionally, Vural et al. mentioned that the more
enlargement of nugget diameter size caused to achieve specimen with the higher tensile–shear
load bearing capacity of welded materials [23]. Furthermore, by increasing in welding current
from 8 kA to 9 kA, the weld nugget diameter increased continuously while the tensile-shear
force decreases (Fig. 4b-c). This phenomenon may be attributed to the drifting out of the molten
materials followed by thinning the cross section of the weld nugget due to high heat input of 9
kA welding current. In order to simplify the conception of the event, cross sectional image of the
spot weld nugget joint by high heat input (9 kA welding current) was shown in Fig. 5. It is clear
that nugget was formed within larger diameter size and narrower thickness. Totally, the
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minimum and maximum tensile-shear forces or peak load were 2450 and 8070 N which belongs
to 4 and 8 kA welding currents, respectively.
3.3. Effect of welding current on failure modes
Failure mode, fracture characteristics and sheet separation of the welds are features which
influenced quality of the resistance spot welded specimens. Fig. 6 presents macrographs of six
different failure modes observed in tensile tests. As it is expected and seen from Fig. 6, within
increasing the welding current, these modes can be characterized from solely interfacial failure
mode (IF) to completely tearing around weld nugget and HAZ. Fig. 6a shows the failure mode
obtained from sample which was welded at 4 kA welding current. Due to low heat input, the spot
weld was separated through the weld nugget in the minimum tensile-shear load bearing capacity
of the welded materials. The minimum tensile-shear load bearing capacity of weld represented
the minimum nugget diameter size which was measured and shown in Fig. 3.
As it can be seen in Fig. 6b, by increasing welding current from 4 kA to 5 kA, although the
tensile-shear force increased, the separation takes place through weld nugget which can be
attributed to enlargement in weld nugget diameter size. When welding current increases,
enlargement in nugget diameter happens and consequently the specimen will fail in higher
tensile-shear force. In the other words, the higher energy is needed for complete rupture in
welded sheets.
Failure mode will be changed from interfacial failure (IF) to pullout failure (PF). In the case
of third sample welded by using 6 kA welding current (Fig. 6c), the specimen failed in the
combination of separation in weld nugget and HAZ. As it was shown in Fig. 3 and 4, further
increasing in welding current up to 7 kA and 8 kA resulted in manufacturing of specimens with
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higher weld nugget diameter and tensile-shear forces, and consequently, they tore from HAZ and
base metal around the weld nugget with button pullout failure which is named button pullout
with tearing from base metal (Fig. 6d and 6e). With the comparison of two latter specimens, it
was predicted that the specimen which has been produced within 8 kA should have higher
tensile-shear force. Finally, by increasing the welding current up to 9 kA, although the weld
nugget size increased, tensile-shear force sharply decreased. It could be attributed to the
generation of high heat input by using 9 kA welding current which led to molten materials
expulsion during resistance spot welding. Fig. 6f shows that this specimen completely tore from
HAZ around weld nugget due to the generation of high heat input, excessive grain growth and
weakening in HAZ region [19, 24]. Marashi et al. investigations reveal that there is a relationship
between failure mode and energy absorption and in fact, when failure energy amount is higher,
failure would be pullout failure mode [7].
Specimens which had interfacial fractures during tensile-shear tests were rejected due to low
peak load and separation through weld nuggets (Fig. 6a-c), in contrast, specimens which torn
from HAZ, base metal or mixed modes were accepted (Fig. 6d-f). The other way for
clarification of failure mode can be considered by failure energy. As it was shown it Fig. 4c,
energy absorption of failed sample increases when specimen was welded by using higher
welding current. In the other word, it can be seen in Fig. 4b-d that the average peak load and
absorbed energy of those welds which failed in PF mode are higher than those samples failed in
IF mode. Thus, tensile-shear load of the welds increases in the order of IF, IF-PF and PF modes
[7]. Totally, the best welded sample was attained at 8 kA welding current which characterized by
button pullout with tearing from the base metal failure mode.
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3.4. Microstructure studies of welds
3.4.1 Metallographic investigations of resistance spot welded region
Cross-section macroscopic images of the welded specimens joined at various welding
current from 4 kA to 9 kA at the constant welding time (4 cycles) are shown in Fig. 7. It can be
easily observed that weld nugget size increases within increasing welding current.
Morphology of the welded regions was investigated by optical microscopic analysis (OM)
and scanning electron microscopy (SEM). The microstructure of the sample welded by 8 kA
welding current is shown in Fig. 8. Morphological images taken from HAZ regions depicts in
Fig. 8a and 8b. As seen, grain size increased in HAZ in comparison to base metal due to short
cycle of RSW [14, 15]. In addition, sensitization problem caused by the formation of chromium
carbides in HAZ area was not observed in this study. Two main reasons include: (1) use of
stainless steel with low content carbon and (2) RSW process with short cycles [15]. Fig. 8c
shows microstructure of the weld nugget with lower magnification. It is obvious that morphology
is suitable based on its appearance. Fig. 8d and 8e illustrates welded region and it can be easily
seen that grain growth has occurred in weld metal zones. As seen in Fig. 8a and 8d, grains are
elongated parallel to electrode compression direction in the weld nugget which similar results
was reported by Kocabekir et al. [24]. Also, it can be seen in Fig. 8e that there are ferritic
microstructure with various morphologies.
In order to consider effect of welding current on the shape and microstructure of the weld
nuggets, specimen which was produced with lower welding current (4 kA) was chosen and
evaluated by optical microscopy and results were shown in Fig. 9. As it was expected, an
incomplete weld nugget was formed due to lack of heat input. Fig 9c showed that insufficient
heat input led to the formation of weld nugget with shortest diameter. What is more, this
13
deficiency can be confirmed by the extracted results from tensile-shear test. Morphological
evaluations taken from various regions of the specimen revealed that the major reason for lower
mechanical properties could be attributed to the small nugget size which influenced the quality of
spot welded materials. It was reported by Fukumoto et al. [16] and Kearns [9] that internal
discontinuities such as large cavities, cracks, and porosity which are common defects in RSW
process and usually caused by low electrode force or high welding current might lead to weld
failure under severe condition. Fig. 9 depicted that although various regions (base metal, HAZ,
weld nugget and their interfaces) formed without any defects, the main reason for the weak
mechanical properties of the welds made at 4 kA is its small fusion zone size. In the other word,
inadequate heat input resulted in the formation of small nugget which cannot provide a weld with
proper mechanical properties.
To investigate the effect of disproportionate use of welding parameter on the obtained
manufactured samples, morphological studies were carried out on the sample welded by using 9
kA welding current and 4 cycles welding time and metallographic images were present in Fig.
11. Typical microstructure image of the welded sample by applying higher welding current and
welding time is shown in Fig. 11c. As can be seen if Fig. 11c, weld nugget with large welded
area was form and also as the generated heat input was more than usual, unwanted electrode
indentation took place which might lead to the formation of thin weld nugget. Weld metal with
ferritic microstructure is shown if Fig. 11a and 11b. Microstructure photo of transition zone is
illustrated in Fig. 11d and metallographic image taken from weld metal and HAZ is depicted in
Fig. 11e.
Scanning electron microscopic images (SEM) was used to evaluate morphology and
chemical composition of the welds. Fig. 12 shows SEM images of specimen welded at 8 kA
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welding current. Fig. 12a and 12b show SEM micrographs taken from center of the weld nugget
with two distinctive areas including HAZ region and weld metal. Columnar structure in weld
nugget can be easily seen. Additionally, Fig. 12c shows SEM image with two zones including
base metal and HAZ. It can be seen that there are cavities in the microstructure in the interface of
HAZ and base metal. This kind of defects is generally appeared in welded samples due to high
welding current or low electrode force. As it was reported by Harlin et al. [25] and Kocabekir et
al. [24], high welding shrinkage can be responsible for this kind of internal defects which may be
caused by high thermal expansion. However, if these defects were produced in the center of weld
nugget, they might not significantly affect mechanical properties [24]. The tensile shear results
proved this discussion as well (Fig. 4).
3.4.2. Prediction of welds microstructure
Standard austenitic stainless steel weld metal contains two phases including austenite and
ferrite [24] . In this study, the conventional Schaeffler, WRC-1992 and pseudo-binary phase
diagrams were used to predict microstructures of weld nugget. Since cooling rate is not in
equilibrium condition in RSW process and conventional Schaeffler and WRC-1992 phase
diagrams do not work at all cooling rates, it is essential to apply another diagram which is based
on schaeffler and WRC-1992 predictive graphs which is named pseudo-binary predictive phase
diagram. Fig. 13a, 13b and 13c show the Schaeffler, WRC-1992 and pseudo-binary predictive
phase diagrams of austenitic stainless steels, respectively.
First of all, equivalent amount of Cr and Ni were calculated according to Schaeffler
predictive phase diagram and attained as 19.293, for Creq and 11.715, for Nieq. It is shown
schematically in Fig. 13a that conventional Schaeffler diagram anticipates that austenite and
15
ferrite phases will form in weld nugget based on the base metal chemical composition. In the
second step, the equivalent amount of Cr and Ni were calculated based on WRC-1992 diagram
and obtained as 18.745, for Creq and 11.585, for Nieq. It is schematically demarcated in Fig. 13b
that WRC-1992 solidification mode phase diagram anticipated FA (primary ferrite + austenite)
solidification mode for AISI 316L sample based on its chemical composition.
Pseudo-binary phase diagram illustrates that during welding process, morphology and
microstructure of austenitic stainless steel will be changed in weld nugget regions. Thus,
different morphologies such as fully austenitic to eutectic delta ferrite, skeletal delta ferrite,
acicular delta ferrite, lathy delta ferrite, Widmanstatten austenite and fully delta ferrite can be
observed in welds based on changes in proportion of Creq/Nieq. According to Fig. 13c,
solidification mode may change from austenite (A) to primary austenite + eutectic ferrite (AF),
primary ferrite + austenite (FA) and fully ferrite (F) within increasing the ratio of Creq/Nieq.
Based on this diagram, when cooling rate is moderate and/or the Creq/Nieq is low, which in this
study is approximately 1.618 (based on WRC-1992 phase diagram’s formulas), skeletal delta
ferrite will be formed in weld nugget. In contrast, when cooling rate and/or the Creq/Nieq is high,
lathy delta ferrite will be dominated phase in the microstructure of weld nugget [14, 15]. So,
pseudo-binary phase diagram predicts skeletal delta ferrite for moderate cooling rate and lathy
delta ferrite for high cooling rate. However, there were a few contradictions in this study when
metallographic examinations were performed on welded specimens.
Fig. 13 depicts various types of delta ferrite in weld nuggets at 4 kA and 8 kA welding
currents. SEM image taken from specimen welded by using 4 kA welding current is shown in
Fig 13a. It can be seen that skeletal and lathy delta ferrites have formed in weld nugget region.
By increasing welding current from 4 kA to 8 kA, which leads to the generation of higher heat
16
input, delta ferrite with morphology of acicular will form as well as skeletal and lathy delta
ferrite in weld nugget areas and consequently results in slightly coarser microstructure of weld
nugget. In the other word, this coarse structure could be caused by formation of acicular delta
ferrite beside formation of skeletal and lathy delta ferrite in the microstructure of the weld.
Formation of delta ferrite with various morphologies in different regions of weld nugget
illustrate different cooling rate caused by unequal cooling rate of water-cooled copper electrodes.
According to the pseudo-binary phase diagram, formation of skeletal delta ferrite (in some
regions of Fig. 13a and Fig. 13b) can be attributed to the moderate cooling rate. At this cooling
rate, austenite consumes nickel, carbon, and nitrogen which are austenite-promoting elements
and consequently, ferrite is adequately depleted from these components and enriched in ferrite-
promoting elements such as chromium and molybdenum. Formation of lathy delta ferrite in some
regions (Fig. 13a and Fig. 13b) can be explained by the fact that cooling rate is high (based on
the pseudo-binary phase diagram). Lathy delta ferrite was replaced by skeletal delta ferrite due to
restriction in diffusion phenomenon during ferrite-austenite transformation. Additionally, when
cooling rate was dramatically increased, a few regions in weld nugget were quickly solidified
and then led to the formation of acicular delta ferrite in these areas (Fig. 13b or Fig. 13c). Thus,
this morphology was formed due to fast cooling rate in welding process and as a result,
solidification mode and proportion of Creq/Nieq in some regions of weld nugget were changed
[21]. Also, another reason for formation of the acicular delta ferrite can be attributed to the
restriction of long-range diffusion at lower transformation temperature and consequently
transformation occurs over shorter distances in fast cooling rates [15]. It can be concluded that
major microstructure formed in resistance spot weld regions are non-equilibrium phases due to
fast cooling rate in RSW process.
17
Energy dispersive X-ray (EDS) analysis was performed to investigate if there were changes
in the chemical composition of the welded samples. Fig. 14 shows SEM micrographs taken from
specimens which were welded by using 4 kA and 8 kA welding currents and Table 3 summarizes
EDS elemental analysis results. As seen, chemical composition in different regions of weld
nugget is approximately as similar as the base metal and no remarkable variations were detected.
However, weight percent of molybdenum increased in weld regions in case of the manufactured
samples within higher welding current. As it is given in Table 3, the amount of ferrite-promoting
elements such as molybdenum (Mo) and silicon (Si) are higher in the case of point numbers 5 to
8 which is related to the sample welded by using 8 kA welding current. While, in the case of
sample welded by applying lower welding current (4 kA), weight percent of the ferrite-
promoting elements, specifically Mo and Si, is lower and it confirms that there is lower amount
of ferrite in the microstructure of the welds. EDS results proved that higher heat input which is
caused by higher welding current led to the formation of ferritic microstructure in the welded
samples. Also, image analysis for quantitative microscopy with clemex software showed that the
ferrite volume fraction in the Fusion zone in higher that HAZ and base-metal.
3.5. Effect of welding current on microhardness
For further investigation, Vickers microhardness measurements were performed on the weld
nugget, HAZ and base metal on specimens which were welded by applying low (4 kA) and high
(8 kA and 9 kA) welding current and/or heat input. Fig. 15 shows direction of the microhardness
pro applied on specimens. Initial microhardness of the AISI 316L sample was around 275
HV. Effects of various welding currents on welds hardness were determined. Hardness profile of
the resistance spot welded areas is shown in Fig. 16. According to the obtained results,
18
microhardness of the weld nugget is lower in comparison to HAZ and base metal at both low and
high welding currents. This behavior arises from the fact that when welding process is performed
in atmosphere and the specimens are cooled in air, heat dissipation rate is high [11]; grains
growth might occur in weld nugget and result in lower microhardness in weld nugget area [24].
In addition, results show that microhardness in weld nugget region of specimen which is welded
under low heat input (4 kA welding current) is slightly higher than the ones which were welded
under high heat input (8 kA and 9 kA welding current). It can be attributed to grain growth with
increasing in generated heat input during RSW process. By the comparison of three specimens
welded at low and high welding current, it revealed that microhardness in HAZ area was not
significantly affected by increasing in welding current up to 8 kA, while in the case of 9 kA
welding current, microhardness value declined to the lower amount which could be attributed to
the grain growth due to high heat input. In the other word, as can be seen in Fig. 16, hardness
values for HAZ region obtained around 250 HV and negligible variation can be detected for the
samples welded by 4 kA and 8 kA, however, in the case of 9 kA it reduced to 240 HV. At the
end, hardness value of the weld metal attained 197 to 218 HV depending on the applied welding
current.
According to metallographic evaluations, grains growth took place in HAZ and weld metal
and consequently, it might lead to reduction in microhardness values in comparison to base
metal. In the other word, the reduction of the microhardness can be associated to the formation of
delta ferrite morphology in weld nugget and somehow HAZ regions. What is more, hardness
value gradually increased in the HAZ from near the fusion zone to near the base metal which can
be attributed to the fact that cooling rate near the fusion zone is low which leads to grain growth
and in contrast, the area near the base metal experiences higher cooling rate and showed fine
19
grained microstructure and higher hardness value. In this study, reduction in microhardness value
of weld metal can be justified by formation of delta ferrite morphology. As ferrite structure
provides lower microhardness in comparison to austenite morphology, observed variations in
welds microhardness seems to be rational.
4. Conclusions
Since the main objective of manufacturing process is always to improve overall quality of a
product, it is necessary to optimize multiple quality characteristics simultaneously. In this
research, microstructural and mechanical properties of resistance spot welding joint of AISI
316L austenitic stainless steel were investigated. The results have been enumerated in the
following:
1- Tensile-shear load bearing capacity of welded materials increased within increasing the
welding current up to 8 kA due to the enlargement of weld nugget size whereas further increase
in weld current up to 9 kA had an adverse effect. The minimum and maximum tensile-shear
forces or peak load obtained 2450 N and 8070 N for 4 kA and 8 kA welding currents,
respectively.
2- By increasing welding current at constant welding time, various failure modes occurred
from solely interfacial failure mode to completely tearing around weld nugget from HAZ.
Specimens that have interfacial fractures were rejected and ones which tore from HAZ, base
metal or compound modes were accepted. The best weld had button pullout with tearing from the
base metal failure mode. Also, calculated failure energy from load-displacement curves showed
that welded specimen with 8 kA welding current has the highest plastic deformation with pullout
failure mode.
20
3- In weld nugget region, grains were found to be elongated with columnar structure,
parallel to the electrode compression direction. The size of grains increased in HAZ region in
comparison to the base metal.
4- SEM-BE micrographs and optical microscopy analyses revealed that skeletal and lathy
delta ferrite morphology are the main microstructures in the weld nugget area of specimen which
was welded under low heat input (4 kA welding current). Moreover, acicular delta ferrite as well
as skeletal and lathy delta ferrite morphology was found in weld nugget of the sample which was
welded under high heat input (8 kA welding current). In fact, increasing in generated heat input
may lead to slightly coarsening of weld nugget microstructure by forming acicular delta ferrite
morphology in this region. EDS results confirmed formation of ferrite in the welded sample
made by 8 kA welding current due to presence higher weight percent of ferrite-promoting
elements such as molybdenum (Mo) and silicon (Si) in chemical composition of weld metal.
5- Microhardness studies showed that hardness of weld nugget was lower in comparison to
HAZ and base metal. Also, hardness of weld nugget and HAZ areas was slightly higher in the
specimen welded under low heat input (4 kA welding current) in comparison to the specimen
welded under high heat input (8 kA welding current). It can be related to the grain growth
phenomenon which may occur during RSW process of AISI 316L stainless steel.
21
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Table captions
Table 1. Chemical composition of AISI 316L Austenitic stainless steel (wt %).
Table 2. Welding parameters for resistance spot welding.
Table 3. EDS elemental analysis of the welded samples with 4 and 8 kA welding current which
are shown in Fig. 12 (wt. %).
Figure captions
Fig. 1. (a) Dimensions of tensile-shear test specimens in mm, (b) geometric morphology of the
nugget, and (c) resistance spot welded 316L austenitic stainless steel sheets.
Fig. 2. Effect of welding current and time on (a) weld nugget diameter size, (b) welding
penetration, (c) width of HAZ, (d) thickness of HAZ, (e) peak load, (f) failure energy, (g)
indentation depth, and (h) penetration rate.
Fig. 3. Variations weld nugget diameter size as a function of different welding currents.
Fig. 4. (a) Schematic of stress-strain or load-displacement curve (b) stress–strain curves of the
samples welded at constant 4 cycles welding time, (c) tensile-shear load bearing capacity of
resistance spot samples welded at constant 4 cycles welding time, and (d) Energy absorption
versus welding current and constant 4 cycles welding time.
Fig. 5. Optical image of resistance spot weld region welded at 9 kA welding current.
Fig. 6. Various types of failure modes obtained from tensile-shear test samples, (a) 4 kA, (b) 5
kA, (c) 6 kA, (d) 7 kA, (e) 8 kA, and (f) 9 kA welding currents at constant welding time.
Fig. 7. Cross-section images of the joint welded by (a) 4 kA, (b) 5 kA, (c) 6 kA, (d) 7 kA, (e) 8
kA, and (f) 9 kA welding currents at constant 4 cycles welding time.
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Fig. 8. Cross section micrographs of sample welded by using 8 kA welding current and 4 cycles
welding time: (a-b) transition zone between weld nugget, HAZ and base metal, (c) resistance
spot welded region, (d) center of weld nugget, and (e) weld nugget area.
Fig. 9. Cross section micrographs of sample welded by using 4 kA welding current and 4 cycles
welding time: (a) border between base metal and HAZ, (b) border between weld nugget and
HAZ, (c) resistance spot welded region, (d) HAZ area, and (e) center of weld nugget.
Fig. 10. Cross sectional micrographs of sample welded by using 9 kA welding current and 4
cycles welding time: (a) and (b) weld metal regions, (c) resistance spot welded region, (d) and (e)
weld metal, border between welded nugget, HAZ and base metal.
Fig. 11. SEM photographs of resistance spot welded regions manufactured at 8 kA welding
current: (a-b) HAZ and weld nugget, and (c) interface image of base metal and HAZ.
Fig. 12. (a) Schaef , (b) WRC-1992 diagram, and (c) Pseudo-binary phase diagram.
Fig. 13. Scanning electron photographs taken from samples (a) welded at 4kA welding current,
(b-c) welded at 8kA welding current.
Fig .14. SEM images taken from weld nugget area (a-b) welded by using 4kA welding current
and (c-d) welded by using 8kA welding current. EDS elemental analysis were carried out at the
determined points.
Fig. 15. Schematic of the microhardness measurements taken from cross section of the samples.
Fig. 16. Microhardness profiles of welds manufacture by using various welding current.
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Research Highlight
Resistance spot welding of AISI 316L stainless steel sheets.
Microstructure prediction by the use of Schaeffler and Pseudo-binary diagrams.
Non-equilibrium phases including skeletal, acicular and lathy delta ferrite formed.
Mechanical characterization of weld nuggets including peak load and failure energy.
Different failure modes were found at various welding currents.
54
Table 1. Chemical composition of AISI 316L Austenitic stainless steel (wt.%).
Table 2. Welding parameters for resistance spot welding.
Table 3. EDS elemental analysis of the welded samples with 4 and 8 kA welding current which
are shown in Fig. 13 (wt. %).
Point number Fe Cr Ni Mo Mn Si Ti
1 67.07 15.27 9.87 4.37 1.27 1.14 0.55
2 66.45 15.96 9.99 4.93 1.10 1.07 0.50
3 66.60 16.13 9.34 4.78 1.87 0.86 0.41
4 65.68 15.33 10.56 5.85 0.90 1.13 0.55
5 62.66 14.77 10.38 8.47 2.02 1.43 0.27
6 63.05 14.92 9.51 8.39 1.92 1.89 0.32
7 62.51 15.19 9.67 8.24 1.97 2.23 0.19
Fe
68.490
C
0.029
Ni
10.020
Cr
16.670
Mn
1.650
Mo
2.050
Si
0.370
Co
0.210
Cu
0.280
Nb
0.037
Ti
0.022
V
0.048
W
0.060
Al
0.002
P
0.034
N
0.024
Squeeze time
(cycle)
Welding time
(cycle)
Holding time
(cycle)
Welding current (kA)
Electrode force(N)
Welding condition
Weld cooling
condition
20 4-5-6-7 30 4-5-6-7-8-9 4000 Atmosphere Atmosphere
55
8 63.17 15.42 10.20 7.93 1.82 1.33 0.12