1 Introduction

The growing demand for reduced pollution due to emissions from transport systems has motivated research towards the development of high-strength lightweight alloys with the intent to reduce the structural weight of vehicles and, as a consequence, the fuel consumption.

With this aim, among the materials and manufacturing processes most studied in recent decades, magnesium alloys and incremental forming (IF) of sheet metal parts certainly stand out; the former can be considered a good substitute to aluminum alloys in structural applications due to their very low density combined with good strength. As the latter is concerned, Filice et al. [1] showed that IF can be considered as an effective alternative to traditional sheet stamping to produce small batches of metal alloy components.

Incremental sheet forming can be successfully used in the aerospace as well as in the automotive sector, for which there is a high demand for spare parts and prototypes, and for which the use of magnesium alloys is continuously increasing.

In the past, the application of magnesium alloys was limited by its high reactivity and very low electrochemical potential, subjecting it to corrosion. In recent years, this problem has been partly overcome by the use of magnesium alloyed with aluminum, zinc and manganese, e.g., AZ31B, as studied by Franchitti et al. [2], who focused on the optimization of superplastic free forming test of an AZ31 magnesium alloy sheet. However, Agnew and Duygulu [3] have indicated that one of the reasons why the use of these alloys is still not particularly widespread is their low ductility and cold workability, as the compact hexagonal crystal structure limits the number of sliding surfaces. Neugebauer et al. [4] overcame this problem using high-temperature processing, as the increase of temperature favors the creation of new sliding surfaces, enhancing the formability of the material.

Pellegrini et al. [5] carried out tensile tests on AZ31B magnesium alloy samples at different temperatures and deformation speeds. The analysis of the fracture surface of the specimens revealed that a better and uniform recrystallized structure could be obtained at low and intermediate strain rates, at both 250 °C and 300 °C.

Incremental hot forming, utilizing various heating systems, has been investigated in a few papers during recent years. The study carried out by Palumbo and Brandizzi [6] proved friction and electric heating to be much more flexible as well as economical in terms of equipment costs. A few different materials have been studied in literature. Ti-6Al-4V sheet was formed using electric hot incremental forming by Fan et al. [7] at temperatures ranging between 500 and 600 °C. A thin layer of Ni–MoS2 was deposited on the sheet with the double aim to enhance the surface finish and protect from oxidation. The results indicated that, at the selected temperatures, higher dimensional accuracy can be achieved in the forming process of the titanium sheet. Vahdani et al. [8] experimentally studied the effects of a few process parameters, i.e., electric current, vertical pitch and feed rate, on the maximum height of truncated cones produced with varying wall angles, through electric hot incremental sheet forming (EHISF) of DC01 steel, AA6061 aluminum alloy and Ti-6Al-4V titanium alloy sheets. Major findings showed that the electric current was the most influential parameter on the formability of the Ti-6Al-4V titanium sheet. Whereas, in the case of EHISF of the DC01 sheet, the formability varied depending on the feed rate as well as the type of lubricant used.

A study of Shi et al. [9] focused on EHISF with the aim to increase the dimensional accuracy of pyramid frustums made out of low carbon steel, finding that proper choice of a helical tool can prevent discharge phenomenon during the forming process.

Ambrogio et al. [10] authored one of the first papers on incremental hot forming of magnesium alloys, demonstrating the feasibility of the process and highlighting that the tool diameter has a negligible effect on formability. Zhi-guo et al. [11], studying the warm single-point incremental forming (SPIF) process, observed a ductile behavior starting at a temperature of 250 °C. Xu et al. [12] compared two heating systems, namely resistance and frictional stir heating, for different geometries. The obtained results indicated that resistance heating allowed the sheet temperature to increase at a faster rate with respect to frictional heating being less dependent on the geometry of the part. More recently, the same authors [13] studied double-sided electrically assisted incremental sheet forming (E-ISF) of truncated cones made out of AZ31B, finding that both surface finish and geometrical accuracy can be successfully improved with this technique. Zhang et al. [14] investigated a key aspect of warm negative incremental forming of magnesium alloys, i.e., the lubricant. They found that both nano-K2Ti4O9 whisker enhanced solid lubrication film and solid graphite gave satisfying results at both room and high temperature due also to the self-lubrication effect.

As far as the numerical simulation of EHISF of magnesium alloys is considered, a very limited number of papers is found in the literature. Ji and Park [15] modeled the production of AZ31 truncated cones through a progressive EHISF forming technique with the aim to maximize the forming angle. The numerical model, developed in a PAM-STAMP environment, allowed the analysis of the deformation confirming the process mechanics observed in the experiments. Although interesting results were found by Nguyen et al. [16] about the variation of the forming limit diagram (FLD) curve with temperature, it is noted that the temperature range utilized was limited to 20–250 °C. The test data assisted in the establishment of a springback and formability prediction analysis model.

Nguyen et al. [17] focused the attention on rotational incremental forming. ABAQUS was used to model the process, and a combined kinematic/isotropic hardening model, with a Johnson-Cook fracture model, was adopted to study the formability of square pyramids produced with varying tool down step and radius. Even in this case, due to the nature of the heat source, i.e., friction at the contact tool-sheet, the temperature range was limited to 100–141 °C.

Based on the above reported literature analysis, it arises that, for the hot incremental forming process, a lack of knowledge exists in the determination of the formability limits of magnesium alloys over a wide range of temperature. In fact, an analytical formulation of the formability can be of help in the design of the process, both from the experimental and numerical points of view.

In the current paper, the authors studied the behavior and formability limit of the AZ31B magnesium alloy at temperatures ranging between room temperature and 400 °C. Heating coils were used to increase the sheet temperature to the desired temperature. The research was developed moving in two directions, with experimental field tests on the one hand, and numerical analysis, utilizing the commercial finite element software ABAQUS/CAE Explicit, on the other. In particular, the followed approach was as follows: (i) experimental tests on truncated cone shape with varying temperature and wall angle; (ii) numerical simulations using the same process conditions to assess the FE model and the JC fracture model validity; (iii) numerical simulations using truncated pyramid shape in order to collect different distributions of major and minor strain; (iv) fracture forming limit (FFL) calculation on the basis of the numerical model results; (v) assessment of the determined analytical formulations on a “flower-shaped” case study.

2 Material and methods

2.1 Experimental tests

For the experiments, 330 × 260 mm AZ31B magnesium alloy sheets, 1.2 mm in thickness, were used. Table 1 reports the chemical composition of the alloy.

Table 1 Chemical composition (wt%) of base metal AZ31B magnesium alloy

The incremental hot forming tests were carried out by clamping the sheet metals on a heating chamber (Fig. 1). Inside the chamber, an electrical resistance was used as heat source, and the whole structure was filled with rock wool. In order to reduce the thermal dispersion and therefore to improve the insulation of the chamber itself, insulating silicone was used (Fig. 1).

Fig. 1
figure 1

a Actual device. b Schematic representation

Process temperature was controlled by using two K-type thermocouples (Chromel/Lumel): one was placed on the bottom surface of the sheet (T1), while the other inside the heating chamber (T2). The control system (Fig. 2) consists of an Arduino UNO microcontroller with ATMEGA 328P processor, connected via Serial Peripheral Interface (SPI) to two MAX6675 thermocouple transducers, equipped with cold junction and digital output with a 12-bit resolution. Graphite spray was used as a lubricant for the tests (Fig. 2).

Fig. 2
figure 2

The ARDUINO electrical circuit diagram used

Depending on the temperature measured by the thermocouples, the system operated two mechanical relays connected to the heating coils. The target temperature was selected using a dedicated potentiometer. The system also transferred, via serial port, real-time data to a computer for acquiring and recording temperature changes during the process, with a sampling frequency of 5 Hz. The analyzed temperature ranged between room temperature (25 °C) and 400 °C, considering a temperature increase step of 50 °C from 200 °C onwards. It is worth noticing that, for the AZ31 magnesium alloy, the temperature of 400 °C, at which all the possible slip systems are activated, can be considered the one corresponding to maximum formability as demonstrated by Bohlen et al. [18].

The experimental tests were carried out on a conical frustum geometry with varying wall angle and temperature. The geometrical and technological parameters utilized are reported in Table 2. Each test was repeated three times for result accuracy. The ARAMIS acquisition system was used to measure the formed part thickness. The experimental sheet thickness was acquired before and after the experimental tests in order to avoid in-process acquisition difficulties due to the hot clamping chamber (closed at the bottom). To overcome the difficulties encountered in the 3D acquisition due to the reflectivity of the sheet surface and the impossibility of using paints to cover the surface, a temperature resistant coating with a thickness of 5 μm was applied on the bottom surface of the sheets to be processed.

Table 2 Main process geometrical and technological parameters

2.2 Numerical model

The ABAQUS/Explicit® commercial software was used for the simulation of the experimental process. The constitutive model and the fracture criterion were defined using the Johnson-Cook model (Eq. 1), where TR is the room temperature and TM is the melting temperature, and the Johnson-Cook fracture model (Eq. 2) where εf is equivalent plastic strain, p is the average value of the three normal stresses and q is the Von Mises equivalent stress. Material constants, taken from the paper by Abbassi et al. [19], are reported in Table 3.

$$ \sigma =\left(A+B{\varepsilon}^n\right)\left(1+C\ \mathit{\ln}\dot{\varepsilon}\right)\left[1-{\left(\frac{T-{T}_{\mathrm{R}}}{T_{\mathrm{M}}-{T}_{\mathrm{R}}}\right)}^m\right] $$
(1)
$$ {\varepsilon}_f=\left[{D}_1+{D}_2\ {e}^{\left({D}_3\frac{p}{q}\right)}\right]\left[1+{D}_4\ \mathit{\ln}\dot{\varepsilon}\right]\left[1+{D}_5\left(\frac{T-{T}_{\mathrm{R}}}{T_{\mathrm{M}}-{T}_{\mathrm{R}}}\right)\right] $$
(2)
Table 3 Johnson-Cook parameters for AZ31B

The sheet was modeled as a deformable object, using the shell type elements S4RT option (5 integration points through the thickness), with a thickness of 1.2 mm, while the tool was modeled as a rigid element with a hemispherical shape having a diameter of 12 mm. For the mesh of the sheet, about 12,000 elements were required. Furthermore, the element deletion option was activated in the Mesh option module and “status” in the field output menu to visualize the damage to the sheet once the threshold value of the Johnson-Cook fracture model was reached. Surface-to-surface contact with a friction coefficient assumed to be 0.05 was set.

Each simulation took approximately 20 min to complete on a PC with an Intel i7 processor.

The temperature of the tests was imposed by the Edit Boundary Condition function assuming an isothermal condition. The friction coefficient used was equal to 0.05, and the mass scaling was fixed as 1000. Besides the truncated cone, two additional tool paths, i.e., a truncated pyramid and a “flower”-shaped geometry, were modeled. Geometrical details are shown in Fig. 3. All the tool paths were created using a spiral pattern (Fig. 3).

Fig. 3
figure 3

a Truncated pyramid. b “Flower”-shaped geometry modeled

3 Results

3.1 Experimental results and model validation

Experimental tests were carried out for the truncated cone path with wall angles of 35°, 40°, 45°, 50° and 60° at different temperatures. Figure 4 shows two typical conditions observed during the experimental tests: a sound part formed till the maximum height assigned obtained using a wall angle of 50° and a temperature of 400 °C (see Fig. 4a) and a part for which early fracture occurred, obtained using a wall angle of 45° and a temperature of 250 °C (see Fig. 4b).

Fig. 4
figure 4

Experimental tests results. a Temperature 400 °C and wall angle 50°. b Temperature 250 °C and wall angle 45°

Figure 5 reports the obtained process window: the tests that showed signs of fracture are labeled with an “X” and the sound tests with a “∆” (Fig. 5).

Fig. 5
figure 5

Experimental campaign on cone frustrum: process window obtained with varying temperatures and wall angles

It is seen that, at room temperature, even using the smallest of the considered wall angle values, i.e., 35°, the cone cannot be formed to the assigned height. The latter wall angle could be obtained only with a temperature of 250 °C (or higher), while the maximum wall angle of a sound part was 50°, obtained at 400 °C.

The numerical model was validated by comparing, for each of the considered case studies obtained by varying temperature and wall angle, the thinning distribution experimentally measured through the ARAMIS, non-contact, Digital Image Correlation system and the one numerically calculated.

The parts were initially coated with a white paint. Once dry, small droplets of black paint were sprayed onto the parts; after which, the part was scanned by the Aramis System. The Aramis System allows one to measure the deformations occurring in a part by calculating the displacements of the black dots with respect to their initial positions before the experimental procedure. This displacement can be used as a function for calculating various properties, like thickness in the case of the current research.

In Fig. 6, the comparison between the experimental and numerical data has been reported for the case study characterized by 400 °C and a wall angle of 50°. The x-axis indicates the curvilinear abscissa taken on the cross section of the produced part passing through the center of the cone. As shown in Fig. 6a, thinning increases with increasing cone height. This is consistent with what was found by Mirnia and Shamsari [20], according to which the trend of the curve is strongly influenced by the major strain acting on the cone lateral surface, being the minor strain almost negligible (Fig. 6).

Fig. 6
figure 6

a Comparison of experimental and numerical thinning. b Experimentally measured section in ARAMIS—temperature 400 °C and wall angle 50°

It is worth noticing that similar good agreement was also found for the other case studies. Figure 7 shows the case study characterized by a wall angle of 60° and a temperature of 400 °C, for which early fracture was obtained (see again Fig. 3).

Fig. 7
figure 7

a PEEQ distribution in numerical model. b Experimental test result—temperature 400 °C and wall angle 60°

It is seen that in the area in which the maximum level of the Johnson-Cook criterion was reached, the corresponding elements have been deleted. The forming height at which fracture occurs is 16 mm for both the experimental test and the numerical model. The thickness distribution was also observed along the profile at a given depth in order to investigate the possible effects of the used rectangular clamping system geometry on the final part. The obtained results indicated no significant variation of the thickness due to the chosen clamping system (Fig. 7).

3.2 Analytical FFL determination

In order to determine an analytical expression of AZ31 formability, the effective plastic strain (referred as PEEQ) was analyzed.

Figure 8 shows the thickness distribution and the PEEQ for the same case study considered in Fig. 6. It is noted that the PEEQ distribution has a specular profile with respect to the thickness, being maximum where minimum thickness is observed (Fig. 8).

Fig. 8
figure 8

Lateral view of the truncated cone. a Thickness distribution. b PEEQ distribution—temperature 400 °C and wall angle 50°

This is one of the reasons why some researchers have used PEEQ as a sort of “formability index” as also mentioned by Shalin et al. [21]. An interesting observation can be made looking at the thickness distribution: different from what occurs in conventional SPIF (i.e., at room temperature), in warm conditions the part area characterized by minimum thickness is not close to the top surface of the sheet but is distributed quite evenly along the wall.

As observed by Soeiro et al. [22], when the material in the whole wall angle area participates to deformation, fracture occurs when maximum thinning is reached.

For each considered case study, a representing value of PEEQ was acquired. This corresponds to the maximum value in the case of safe conditions (e.g., 1.36 for the case study characterized by 50° and 400 °C, as shown in Fig. 8) or to the maximum value at fracture for process conditions for which the forming process could not be completed (e.g., 1.41 for the case study characterized by 60° and 400 °C, as shown in Fig. 7a). In this way, a threshold value was identified, indicating the maximum PEEQ that the material can undergo for a given temperature (fracture line), dividing the graph area in two main areas: a safe area (formability zone) and a failure one (fracture zone). From the curves reported in Fig. 9, it can be seen that the amount of PEEQ that the considered material can tolerate increases with temperature. As an example, considering a wall angle of 45°, safe conditions cannot be reached until the temperature is equal or higher to 350 °C, as a PEEQ of about 1.1 is needed in order to safely form the cone. It should be observed that the case studies characterized by (i) a wall angle of 40° and a temperature of 250 °C and (ii) a wall angle of 50° and a temperature of 400 °C should be considered as “borderline”: although these process conditions are indicating as safe in the process window shown in Fig. 5, for both conditions only two over three specimens were actually sound, while the third showed a fracture. Both the process conditions show a PEEQ value only slightly below the threshold value, indicating that it could be considered a confidence band of about 0.03 for PEEQ (Fig. 9).

Fig. 9
figure 9

PEEQ values as a function of temperature for the simulations carried out with different angles on the truncated cone geometry

As observed by Soeiro et al. [22], for the cone geometry, the mechanical deformation is mainly characterized by the major strain rather than the minor strain and fracture occurs due to the growth of the major strains. Hence, in order establish a reliable analytical expression valid for every geometry of the part to be formed, the maximum deformation attainable at different temperatures should be evaluated for different geometries. In particular, a set of numerical simulations was run using a square base pyramid path. The truncated pyramid was chosen as, for this geometry, Isik et al. [23] showed that the major and minor strains are more balanced. Figure 10 represents a truncated pyramid with an angle of 40° and a temperature of 300 °C, where the thickness and PEEQ distributions are shown (Fig. 10).

Fig. 10
figure 10

Truncated square pyramid. a Thickness distribution. b PEEQ distribution—temperature 300 °C and wall angle 40°

The same approach followed for the determination of the curves shown in Fig. 9 for the truncated cones was followed for the pyramid (Fig. 11). It is noted that the values on the fracture line are the same as the ones found for the truncated cone (Fig. 11).

Fig. 11
figure 11

PEEQ values as a function of temperature for the simulations carried out with different angles on the truncated square pyramid geometry

Once the deformation limit values for the two analyzed geometries were determined, the formability limit curves were plotted for the AZ31B alloy. Figure 12a shows the fracture forming limit (FFL) obtained for the case study characterized by a temperature of 300 °C and a wall angle of 40°. Figure 12b shows the FFL curves obtained in the temperature range considered in this study. It is worth noticing that, although FLD curves are a tool of considerable importance in the design of sheet metal forming processes, several authors demonstrated that, because of the peculiar SPIF forming mechanics, considering the FFL instead of FLD is more appropriate [22,23,24] (Fig. 12).

Fig. 12
figure 12

a Fracture forming limit (FFL) obtained for the case study characterized by a temperature of 350 °C and a wall angle of 40°. b FFL curves obtained in the temperature range considered in this study

A numerical regression was carried out in order to obtain an analytical expression (Eqs. 3 and 4) of the considered material formability in hot SPIF. Figure 13a, b shows the fitting curves for the FFL0 and the slope (m), respectively (Fig. 13).

$$ {\mathrm{FFL}}_0\ \left(\mathrm{T}\right)=0.0011\ \mathrm{T}+0.0985 $$
(3)
$$ m\ \left(\mathrm{T}\right)=2\mathrm{E}-06\ {\mathrm{T}}^3-0.0016\ {\mathrm{T}}^2+0.5158\ \mathrm{T}-55.814 $$
(4)
Fig. 13
figure 13

Fitting curves, as a function of temperature, for a FFL0 and b slope (m) of the FFL

Finally, with the aim to assess the applicability of the obtained analytical formulation, a more complicated shape was considered. No sound part could be produced using this geometry with a wall angle of 40°. The best result was obtained at a temperature of 400 °C, at which fracture occurred when the part height was 30 mm. Figure 14 shows minor and major strains calculated at 300 °C and 400 °C for the above-mentioned flower geometry, the truncated cone and the square pyramid, together with the limit curve. It is seen that all the points related to truncated cone and square pyramid lay below the limit curve, being closer to the latter at T = 300 °C, while, at both temperatures, points corresponding to the flower geometry are found above the curve, indicating the failure points (Fig. 14).

Fig. 14
figure 14

FFL and major and minor strain distributions for the truncated cone, square pyramid and flower geometries at a T = 300 °C and b T = 400 °C

4 Conclusions

In the paper, a numerical approach was adopted in order to determine an analytical expression of the formability limit for the AZ31 magnesium alloy in EHISF. The sheets were heated by electrical resistance applied to the clamping fixture, and tests were carried out between room temperature and 400 °C. A numerical model, once validated on frustrum cone geometry, was used to calculate the occurring strains for each case study obtained by the combination of two geometries, i.e., frustrum cone and square pyramid, and varying temperature and wall angle.

From the obtained results, it was observed a strict correlation between the PEEQ numerically calculated and the sheet thinning; a threshold value of PEEQ was identified for each considered temperature. Additionally, an analytical expression of the fracture forming limit curve, as a function of temperature, was identified.

The obtained analytical expression was used to assess the generalization capability of the proposed approach by considering a further case study defined by a “flower-shaped” geometry. For this geometry, no sound part could be produced, and points over the limit curve were found as expected.