Introduction

Pure titanium has high corrosion resistance and therefore has mainly been applied to industrial chemical equipment and heat exchangers. The demand for them has increased lately in recent years. However, since pure titanium has a low Young’s modulus and strong in-plane anisotropy, it does not lend itself well to press forming. In order to achieve time and cost effectiveness in the press forming of pure titanium sheet, it is vital to accurately predict potential defects in the resulting parts using finite element simulations and to determine optimum forming conditions. To do this, it is critical that an accurate constitutive model for pure titanium sheet be established [1].

The authors investigate the work hardening behavior of pure titanium sheet under many linear stress paths and measured the plastic work contours in the first, second and fourth quadrants of a principal stress space [2]. We found that: (a) the pure titanium showed strong in-plane anisotropy with respect to flow stresses and r-values; (b) the plastic work contours show significant asymmetry between the upper and lower sides of the line σ x  = σ y , and (c) the material exhibited significant differential work hardening [2]; the degree of asymmetry of successive work contours decreases with increasing plastic work. Moreover, we found that the conventional anisotropic yield functions are not able to perfectly reproduce the deformation behavior of the pure titanium under biaxial loading.

Vegter and Van den Boogaard [3] proposed a yield function which is capable of constructing a smooth yield locus in the principal stress space using a set of quadratic Bezier interpolations between pre-determined stress states: equibiaxial, plane strain, uniaxial and pure shear. One of the merits using Bezier interpolations is the flexible representation of a yield locus by direct use of biaxial stress test results as reference points.

In this study, we utilize Vegter’s idea of constructing a yield locus piece by piece to determine the approximation curves reproducing the observed plastic work contours of the pure titanium above mentioned. The analysis method proposed in this study is, however, different from Vegter’s method. Vegter’s method does not ensure the smooth variation of the directions of plastic strain rates with loading directions. On the other hand, our method utilizes Bezier curves also to interpolate the relation between the directions of plastic strain rates and loading directions. Accordingly, the method ensures the smooth variation of the directions of plastic strain rates with loading directions, as well as the shapes of successive plastic work contours. This method is capable of analyzing the differential work hardening behavior of the pure titanium, i.e., the continuous change in the shapes of the work contours and in the directions of plastic strain rates without depending on a specific yield function. This method is also useful for checking whether the differential work hardening behavior of the pure titanium follows the normality flow rule.

Material testing methods for measuring the plastic deformation behavior of pure titanium sheet

In this chapter, the material testing methods for measuring the plastic deformation behavior of pure titanium sheet are described. The x- and y-axes are defined as being along the rolling and transverse directions of the material, respectively.

Test material

The test material used in this study was 0.5 mm thick commercial pure titanium sheet (JIS #1). The chemical composition and the mechanical properties of the material are shown in Tables 1 and 2, respectively. The mechanical properties were measured using uniaxial tensile tests at 0, 22.5, 45, 67.5 and 90˚ directions with respect to the rolling direction. The material had strong in-plane anisotropy: σ 0.2 was 25% larger at 90˚ than at 0˚ and the r-value was three times larger at 90˚ than at 0˚. Such large anisotropy of pure titanium sheet were also reported in [4].

Table 1 Chemical composition of the pure titanium sheet (%)
Table 2 Mechanical properties of the pure titanium sheet (JIS #1)

Figure 1 shows the (0001) pole figure of the test material observed using EBSP (Electron Backscatter Diffraction Pattern). The preferred orientation of (0001) pole is symmetrically-tilted around the axis of rolling direction (RD) toward the transverse direction. The average grain size was approximately 35 μm.

Fig. 1
figure 1

(0001) pole figure of the pure titanium sheet (JIS #1)

Testing methods

Biaxial tensile test

Figure 2 shows the geometry of the cruciform specimen used in biaxial tensile tests. It is identical to that used by Kuwabara et al. [5]. Biaxial tensile forces (F x , F y ) were applied to the specimen and the normal strain components (ε x , ε y ) were measured using strain gauges mounted at the center of the gauge section. The true stress components (σ x , σ y ) in the gauge section were determined by dividing the measured forces (F x , F y ) by the current cross-sectional area which, in turn, was determined from the measured values of plastic strain components (\( \varepsilon_x^{{\rm p} },\,\,\varepsilon_y^{{\rm p} } \)) using the assumption of constant volume. For more details of the testing apparatus, refer to [5].

Fig. 2
figure 2

Cruciform specimen for biaxial tensile test

In the biaxial tensile tests on materials with low n-values, like the pure titanium used in this study, fracture occurs at an early stage of plastic deformation in one of the arms of the cruciform specimen. In an effort to observe the plastic deformation behavior over a much larger range of plastic strain, combined tension-internal pressure tests were carried out using tubular specimens. These were made using the same single lot of the pure titanium sheet used to make the cruciform specimens. Many linear stress paths consisting of the axial and circumferential stress components (\( {\sigma_{\phi }},\,\,{\sigma_{\theta }} \)) were applied to the tubular specimens using the closed-loop electrically servo-controlled tension-internal pressure testing apparatus developed in [6]. For more details, refer to [6] and [7].

The tubular specimens were manually bent and welded. Hereafter, the axial and circumferential directions of the tube are denoted ϕ and θ, respectively. In preliminary experiments, the fracture strength of the weld was found to be much lower than that of the parent material. With \( {\sigma_{\theta }} > {\sigma_{\phi }} \), fracture occurred at the weld before sufficiently large plastic deformation could be applied to the parent material. Therefore, it was decided to make two types of tubular specimens, Types A and B, as shown in Fig. 3. In Type A, the rolling direction of the original sheet is parallel to the axial direction of the tubular specimen, whereas in Type B, it is parallel to the circumferential direction. Biaxial tensile tests were performed so as to make the maximum stress direction parallel to the axial direction. To avoid changes to the mechanical properties of the test material, thermal stress relief was not applied to the tubular specimens.

Fig. 3
figure 3

Two types of tubular specimens used in biaxial tensile tests. The thin lines indicate the rolling direction of the as-received pure titanium sheet

The axial and circumferential strains in the tubular specimens were measured using strain gauges (Tokyo Sokki Kenkyujyo Co., YFLA-2) mounted at the center of the specimen. Stress components (\( {\sigma_{\phi }},\,\,{\sigma_{\theta }} \)) were determined using the equilibrium equations for the axial and radial directions [7].

Combined tension-compression test

In order to observe the biaxial deformation behavior of the pure titanium in the second and fourth quadrants of stress space, combined tension-compression tests were carried out using a newly designed specimen, shown in Fig. 4. Combined tensile and compressive forces were applied to the gauge section of the specimen in the longitudinal and transverse directions, respectively. The longitudinal and transverse strains were measured using a biaxial strain gauge (Tokyo Sokki Kenkyujyo Co., FCA 1-11) mounted at the center of the gauge section. The same testing machine as that used in the biaxial tension tests was used for the combined tension-compression tests with special jigs installed to allow combined tension-compression forces to be applied to the specimen. For more details, refer to [8].

Fig. 4
figure 4

Specimen for combined tension-compression test

Uniaxial in-plane compression test

Hexagonal close packed metals generally exhibit a strength differential (SD) between tension and compression‎ ‎[4, 9]. In order to check whether the pure titanium used in this study also exhibits such a SD, uniaxial in-plane compression tests were carried out using the uniaxial specimen shown in Fig. 5 and the in-plane tension-compression testing apparatus shown in Fig. 6. The methodology for applying a in-plane compression force to a sheet specimen was first developed in ‎[10] and further elaborated into a continuous stress reversal test in ‎[11]. The testing apparatus consists of a pair of comb-shaped dies which sandwich a sheet specimen with blank-holding pressure applied. This allows continuous tension-compression stress-strain curves to be obtained without buckling. For more details, refer to ‎[11].

Fig. 5
figure 5

Specimen for in-plane uniaxial compression test

Fig. 6
figure 6

Experimental apparatus for applying in-plane tension-compression stress reversals to a sheet specimen. a Comb-shaped dies. b Testing apparatus

Test procedure

All tests mentioned above were carried out under linear stress paths with a constant von Mises equivalent stress rate of 0.5 MPa/s. Measured values of load and strain were recorded at an interval of 0.5 s.

The stress ratios applied to the test material were σ x :σ y  = 1:0, 4:1, 2:1, 4:3, 1:1, 3:4, 1:2, 1:4, and 0:1 in the first quadrant of stress space and 0:-1, -1:2, -1:1, -2:1, -1:0, 1:-2, 1:-1 and 2:-1 in the second and fourth quadrants of stress space. The difference between reference and measured stress values was less than ±0.5 MPa in any loading paths.

In order to quantitatively evaluate the yielding and the subsequent work hardening characteristics of the pure titanium sheet under combined stress states, the evolution of contours of plastic work in the principal stress space were measured ‎[2]. The stress-strain curve obtained from the uniaxial tensile test in the rolling direction was chosen as a reference data for work hardening. First, the uniaxial true stresses σ 0 and the plastic work W per unit volume corresponding to particular values of offset logarithmic plastic strains \( \varepsilon_0^{\rm{p}} \) were determined. Then, the uniaxial true stress σ 90 obtained from a uniaxial tensile test in the transverse direction of the material and the biaxial true stress components (σ x :σ y ), at which the same amount of plastic work as W was consumed, were determined and plotted in the principal stress space. These stress points define a contour of plastic work corresponding to a particular value of \( \varepsilon_0^{\rm{p}} \). When \( \varepsilon_0^{\rm{p}} \) is taken to be sufficiently small, the corresponding work contour can be practically viewed as an initial yield locus.

In order to verify whether the measured work contours can be viewed as plastic potential, the direction of plastic strain rate, β, were also measured using the equation \( \beta = {\tan^{{ - 1}}}\left( {{{{d\varepsilon_y^{{\rm p} }}} \left/ {{d\varepsilon_x^{{\rm p} }}} \right.}} \right) \) at every stress point, where \( d\varepsilon_x^{\rm{p}} \) and \( d\varepsilon_y^{\rm{p}} \) are the plastic strain increments in the rolling and transverse directions, respectively, measured using strain gauges at an interval of approximately 10 seconds.

Two or three specimens were tested for each linear loading experiment. The repeatability of stress measurement between each test was less than ±1 MPa. The measurement error of stress value was estimated to be less than ±0.5 MPa. The measurement error of β was estimated to be less than ±2.5º.

Experimental results

Differential work hardening behavior in the first quadrant of stress space

Figure 7 shows the stress points defining contours of plastic work for different levels of \( \varepsilon_0^{\rm{P}} \) in the first quadrant of stress space. The stress components of the stress points comprising a contour of plastic work are normalized by σ 0 corresponding to the \( \varepsilon_0^{\rm{P}} \). The work contours for \( \varepsilon_0^{\rm{p}} = 0.001\,{\hbox{and}}\,{0}{.002} \) were determined using cruciform specimens. The work contours for \( \varepsilon_0^{\rm{p}} = 0.002 \) were determined using tubular specimens. The adhesion limit of the strain gauges limited the measurable maximum plastic strain to \( \varepsilon_0^{\rm{p}} = 0.085 \). The normalized work contour for \( \varepsilon_0^{\rm{p}} = 0.001 \), which can be practically regarded as an initial yield locus, bulges significantly in the range of σ x :σ y  = 0:1 to 4:3 and shows strong asymmetry with respect to the line σ x  = σ y . The degree of asymmetry of the initial yield locus is more significant in pure titanium sheet than in steel alloys ‎[5, 6, 12] and an aluminum alloy ‎[7].

Fig. 7
figure 7

Contours of plastic work for the pure titanium sheet in the first quadrant of stress space

There is a discrepancy between the work contours for \( \varepsilon_0^{\rm{p}} = 0.002 \) determined using cruciform specimens and tubular specimens. It is attributed to the prestrain applied to the tubular specimens during the fabrication process. The amount of total strain applied to the tubular specimens during bending is estimated to be t/D ≈ 0.008, where t is the sheet thickness and D is the tube diameter. Therefore, the plastic prestrain applied to the tubular specimens was approximately 0.006.

It is clearly observed that the degree of bulging and asymmetry of the successive work contours decreases with increasing \( \varepsilon_0^{\rm{p}} \). This work hardening behavior of the pure titanium sheet exemplifies the terminology “differential work hardening” ‎suggested in [2].

In order to quantitatively analyze the differential work hardening behavior of the test material, the shape ratios of stress points comprising a work contour were determined for each stress ratio. The shape ratio is defined as L/L 0, where L is the distance between a stress point and the origin in the non-dimensional stress space, and L 0 is the value of L at \( \varepsilon_0^{{\rm p} } = 0.085 \). The variation of the shape ratio L/L 0 for each loading direction with \( \varepsilon_0^{{\rm p} } \) is shown in Fig. 8. L/L 0 steeply decreased immediately after the commencement of plastic deformation and the rate of decrease appears to gradually converge to a constant value. The maximum rate of decrease of L/L 0 was observed for σ x :σ y  = 0:1.

Fig. 8
figure 8

Variation of the shape ratios of stress points (L/L 0) for every loading direction with offset logarithmic plastic strain

Figure 9 shows the variation of the directions of plastic strain rates at every stress ratio with \( \varepsilon_0^{{\rm p} } \). The horizontal axis of the graph represents the stress ratio in terms of the direction angle φ of stress vector in stress space. At the commencement of plastic deformation, \( \varepsilon_0^{{\rm p} } = 0.002 \), the stress ratio that gave the plane strain tension in the rolling direction (β = 0º) was approximately φ = 41.2º (σ x :σ y  = 8:7). The value is much closer to the equibiaxial direction (φ = 45º) than that of an isotropic material, φ = 26.5º (σ x :σ y  = 2:1). The β measured under equibiaxial tension (φ = 45º) was 22º, exhibiting strong in-plane anisotropy.

Fig. 9
figure 9

Directions of plastic strain rates at different levels of offset logarithmic plastic strain \( \varepsilon_0^{{\rm p} } \)

The solid line in the figure approximates the measured data at \( \varepsilon_0^{{\rm p} } = 0.085 \) in a range of φ = 0 to 45º, and the dashed line is obtained by rotating the solid curve 180º around the point of (φ, β) = (45º, 45º). It is clearly seen in the figure that the values of β at every stress path, φ, approach the solid and dashed lines with the increase of \( \varepsilon_0^{{\rm p} } \), as indicated by the arrows in the figure. This behavior of β accords with the general trend of the work contours shown in Fig. 7; the asymmetry with respect to the line σ x  = σ y diminishes with the increase of \( \varepsilon_0^p \).

Strength differential between tension and compression

Figure 10 shows the true stress-logarithmic plastic strain curves in the rolling and transverse directions of the test material. In the rolling direction, the tensile flow stresses are approximately 30% (30 MPa) higher than the compressive ones at \( \varepsilon_0^{{\rm p} } = 0.002 \), exhibiting significant SD. In the transverse direction, the tensile and compressive flow stresses are nearly equal to each other in a range of \( \varepsilon_0^{{\rm p} } \leqslant 0.02 \), while the compressive flow stress gradually becomes higher than the tensile one in a range of \( \varepsilon_0^{{\rm p} } > 0.02 \).

Fig. 10
figure 10

Comparison of stress-strain curves for uniaxial tension and compression

Differential work hardening behavior in the second and fourth quadrants of stress space

Figure 11 shows the stress points comprising the contours of plastic work for different levels of \( \varepsilon_0^{\rm{p}} \) in the second and fourth quadrants of stress space. The stress values are normalized by σ 0 corresponding to the \( \varepsilon_0^{\rm{p}} \) of every contour. It was possible to perform the combined tension-compression tests up to a work hardening level of \( \varepsilon_0^{{\rm p} } = 0.04 \) without buckling.

Fig. 11
figure 11

Contours of plastic work in the second a and fourth b quadrants of stress space

The differential work hardening behavior in the second and fourth quadrants of stress space was different from that in the first quadrant shown in Fig. 7. The trend of the work contours in the second quadrant changed at \( \varepsilon_0^{{\rm p} } \approx 0.01 \) from bulging to receding. In contrast, the work contours in the fourth quadrant persistently receded with plastic deformation. In order to quantitatively analyze the differences of the differential work hardening behavior between both quadrants, the distance of every stress point from the origin were calculated. Figure 12 (a1) and (b1) shows the variation of L with \( \varepsilon_0^{\rm{p}} \) in the second and fourth quadrants of stress space, respectively. It is clear that the L in the second quadrant increased with \( \varepsilon_0^{\rm{p}} \) at the early stages of plastic deformation and began to gradually decrease at \( \varepsilon_0^{{\rm p} } \approx 0.01 \). Figure 12 (a2) and (b2) shows the variation of the directions of plastic strain rates β with \( \varepsilon_0^{\rm{p}} \) in each quadrant. The β in the second quadrant shown in (a2) decreased with \( \varepsilon_0^{\rm{p}} \) at the commencement of plastic deformation and were near constant in a range of \( \varepsilon_0^{{\rm p} } \geqslant 0.01 \). On the other hand, the β in the fourth quadrant shown in (b2) decreased monotonically with \( \varepsilon_0^{\rm{p}} \).

Fig. 12
figure 12

Variation of L and β with offset logarithmic plastic strain in the second a and fourth b quadrants of stress space, respectively. L is the length of the stress vector in stress space, from the origin to a work contour, and β is the direction of the plastic strain rate at a corresponding loading path

Analysis method

In order to explain a new methodology for determining approximation curves for measured work contours, we use the experimental data measured in the biaxial stress tests of a steel sheet ‎[8], as shown in Fig. 13. Figure 13 (a) shows a normalized work contour in the first and second quadrants in principal stress space for \( \varepsilon_0^{{\rm p} } = 0.02 \). The stress components σ x and σ y are normalized by σ 0, the uniaxial true stress for \( \varepsilon_0^{{\rm p} } = 0.002 \) in the rolling direction. Figure 13 (b) shows the relation between the direction of plastic strain rate β and the loading direction φ in stress space, corresponding to the stress points in Fig. 13 (a).

Fig. 13
figure 13

A normalized work contour a and the directions of plastic strain rates with loading direction b of a steel alloy ‎[8]. A group of cubic Bezier curve smoothly interpolates the work contour in a, following the calculation method proposed by Vegter and Van den Boogaard [3]. The solid curve in b, which represents the directions of the outward vectors normal to the interpolation curve in a, lacks smoothness at the connecting points of Bezier curves in a

Interpolation of the relationship between the directions of plastic strain rates and loading directions

Figure 14 shows a schematic diagram of a cubic Bezier curve. A cubic Bezier curve is determined by two pass points, P1 and P4, and two control points, P2 and P3. The first derivatives at P1 and P4 are given as the slope of \( \overline {{{\hbox{P}}_{{1}}}{{\hbox{P}}_{{2}}}} \) and \( \overline {{{\hbox{P}}_{{3}}}{{\hbox{P}}_{{4}}}} \), respectively.

Fig. 14
figure 14

A cubic Bezier curve defined using 4 points

In accordance with Vegter’s method, the results of the interpolation of the stress points comprising a work contour using cubic Bezier curves is shown as a solid line in Fig. 13 (a). The interpolation curve was able to smoothly represent the work contour; however, the variation of the plastic strain rates with loading direction is not smooth at connecting points, as shown in Fig. 13 (b). Therefore, in order to ensure the smooth variation of the directions of plastic strain rates, we propose a new methodology. In the new methodology we first interpolate the directions of plastic strain rates using cubic Bezier curves. The two pass points, P1 and P4, and two control points, P2 and P3, in Fig. 14 are given by

$$ \left\{ \begin{gathered} \varphi (t) = {\left( {1 - t} \right)^3}{\varphi_1} + 3{\left( {1 - t} \right)^2}t{\varphi_2} + 3\left( {1 - t} \right){t^2}{\varphi_3} + {t^3}{\varphi_4} \hfill \\\beta (t) = {\left( {1 - t} \right)^3}{\beta_1} + 3{\left( {1 - t} \right)^2}t{\beta_2} + 3\left( {1 - t} \right){t^2}{\beta_3} + {t^3}{\beta_4} \hfill \\\end{gathered} \right.. $$
(1)

using a variable \( t(0 \leqslant t \leqslant 1) \). Here, φ i and β i (i = 1 to 4) are the direction angles of the loading direction in stress space and the plastic strain rate at point i, respectively. The Bezier curve starts at P1(t = 0) and ends at P4(t = 1). For simplicity, a slope α of the Bezier curve at a pass point is determined so that it coincides with that of the line connecting the adjacent pass points, as shown in Fig. 15. The length of \( \overline {{{\hbox{P}}_{{1}}}{{\hbox{P}}_{{2}}}} \) and \( \overline {{{\hbox{P}}_{{3}}}{{\hbox{P}}_{{4}}}} \) were empirically determined as 2/5 of \( \overline {{{\hbox{P}}_{{1}}}{{\hbox{P}}_{{4}}}} \) in order to simplify the calculation procedure for optimization.

Fig. 15
figure 15

Determination of the slope at a pass point on a Bezier curve

Description of the work contour based on the normality rule

Assuming that the material follows the associated flow rule, the directions of plastic strain rates should be parallel to the local outward vectors normal to the work contour, provided that the work contour is assumed to coincide with a plastic potential. Then, using φ(t) and β(t) in Eq. 1, the work contour is given by

$$ \begin{gathered} {l_{{\left[ i \right]}}}(t) = {l_{{\left[ i \right]}}}(0) \cdot \exp \left( {{\hbox{H}}(t)} \right),{ }{l_{{_{{\left[ i \right]}}}}}(0) \equiv {l_{{_{{\left[ {i - 1} \right]}}}}}(1) \hfill \\{{\hbox{H}}_{{\left[ i \right]}}}(t) \equiv \int_0^t {\frac{{{{\varphi \prime}_{{_{{\left[ i \right]}}}}}(t)}}{{\tan \left( {{\beta_{{_{{\left[ i \right]}}}}}(t) - {\varphi_{{_{{\left[ i \right]}}}}}(t) + {{\pi } \left/ {2} \right.}} \right)}}dt}, { }\varphi \prime \equiv d\varphi /dt{ }. \hfill \\\end{gathered} $$
(2)

where l is the distance from the origin to the stress points comprising the work contour in stress space, see Appendix for the derivation of Eq. 2. [i] represents the section number shown in Fig. 13 (b).

Condition of convexity of a work contour

β should increase monotonically with increasing φ, so that the convexity and smoothness of the work contour are satisfied. A tangent vector to the cubic Bezier curve k(t) (0 ≤ t ≤ 1) is given by a quadratic Bezier curve as

$$ {\mathbf{k}}(t) = {\left( {1 - t} \right)^2}\overrightarrow {{{\hbox{P}}_{{1}}}{{\hbox{P}}_{{2}}}} + 2t\left( {1 - t} \right)\overrightarrow {{{\hbox{P}}_{{2}}}{{\hbox{P}}_{{3}}}} + {t^2}\overrightarrow {{{\hbox{P}}_{{3}}}{{\hbox{P}}_{{4}}}} . $$
(3)

The condition for the monotonic increase of the tangent angle \( \theta (t)( = {\tan^{{ - 1}}}({{{{k_{\beta }}}} \left/ {{{k_{\varphi }}}} \right.})) \) with respect to the axis of loading direction is given as

$$ \begin{array}{*{20}{c}} {0 < \theta (0),\,\,\theta (T),\,\,\theta (1) < {{\pi } \left/ {2} \right.}}{\because 0 < T < 1} \\\end{array} $$
$$ T = \frac{{{\beta_1} + {\beta_3} - 2{\beta_2}}}{{{\beta_1} - 3{\beta_2} + 3{\beta_3} - {\beta_4}}}. $$
(4)

Where θ(0) and θ(1) is the tangent angles of the end points of a Bezier curve. T is t at the extremal point of θ(t) (/dt = 0).

Error function

The Bezier curve derived from Eq. 2 does not necessarily pass through all stress points comprising the work contour shown in Fig. 13 (a). Moreover, it does not necessarily satisfy the condition of convexity. In order to correct such inconsistency, an error function is introduced as follows:

$$ \begin{array}{*{20}c} {{E = W_{\beta } {\sum\limits_{i = 1}^n {{\left( {\beta ^{{cal}}_{i} - \beta ^{{\exp }}_{i} } \right)}^{2} } } + W_{l} {\sum\limits_{i = 1}^{n - 1} {{\left( {l^{{cal}}_{i} - l^{{\exp }}_{i} } \right)}^{2} } } + W_{C} {\sum\limits_{i = 1}^{n - 1} {C_{i} C_{i} = c{\left( 0 \right)} + c{\left( T \right)} + c{\left( 1 \right)}} }}} \\ {{c{\left( t \right)} = \left\{ {\begin{array}{*{20}c} {0} & {{{\left( {0 < \theta {\left( t \right)} < \pi /2} \right)}}} \\ {{ - \theta {\left( t \right)}}} & {{{\left( {\theta {\left( t \right)} \leqslant 0} \right)}}} \\ {{\theta {\left( t \right)} - \pi /2}} & {{{\left( {\theta {\left( t \right)} \geqslant \pi /2} \right)}}} \\ \end{array} } \right.}} \\ \end{array} $$
(5)

where i is the data number shown in Fig. 13 (b), and n is the number of data. The first and second terms in Eq. 5 represent the summation of the differences between the experimental (exp) and calculated (cal) values of l i and β i , respectively. C i in the third term checks the convexity of the work contour. Its value is determined from Eq. 4 and is positive when the work contour is concave. \( l_i^{\rm{cal}} \) and \( \beta_i^{\rm{cal}} \) vary during the optimization calculation in order to minimize the function E. The function is weighted by W β , W l and W C . As the convexity of work contour is the first priority, W C is greater than W β and W l . Additionally, \( \sum {{C_i} = 0} \) should be checked after the calculation.

The approximation results based on our new methodology using cubic Bezier curves are shown as the solid lines in Fig. 16 (a) and (b). The following three cases were checked to clarify the effects of W β and W l on the approximation curves.

Fig. 16
figure 16

Measured stress points comprising a work contour a and the directions of plastic strain rates b compared with the approximation curves calculated using the error function E as defined in “Error function”. The experimental data are quoted from [8]

  1. Case 1.

    W β and W l of the error function are adjusted so that the directions of plastic strain rate can be preferentially reproduced by the approximated curves.

  2. Case 2.

    W β and W l are adjusted so that the general trends of the normalized work contour and the directions of plastic strain rates can be reproduced in good accuracy by the approximated curves.

  3. Case 3.

    W β and W l are adjusted so that the normalized work contour can be preferentially reproduced by the approximated curves.

The approximation curve for each weight condition is in good agreement with the experimental data in both graphs. There is not much difference between the three approximation results. Therefore, the approximation curve based on the new methodology can be regarded as instantaneous plastic potentials for the steel alloy, at least for linear stress paths.

Discussion

Comparison between measured data and calculated data based on selected yield functions

Figure 17 compares the measured work contours and the directions of plastic strain rates for the pure titanium sheet, measured at \( \varepsilon_0^{{\rm p} } = 0.003 \), with those calculated using Hill’s quadratic yield function ‎[13], the Yld2000-2d yield function ‎[14] and Cazacu’s yield function ‎[15]. In order to check whether these functions are able to reproduce the large curvature of the observed work contours in the vicinity of the equibiaxial tension region, additional linear stress path tests were carried out for σ x :σ y  = 8:7 and 7:8 and the measured data points were added and shown in Fig. 17. The anisotropic parameters of the yield functions used in the figure were determined using the stress values and r-values observed at \( \varepsilon_0^{{\rm p} } = 0.003 \). The material properties used for the determination of the anisotropic parameters of the yield functions are shown in Table 3. r 90 is measured to be infinite, because the thickness reduction of the test material could not be detected during the early stages of plastic deformation from the data of plastic strain increments, \( d\varepsilon_x^{\rm{p}} \) and \( d\varepsilon_y^{\rm{p}} \), measured using strain gauges.

Fig. 17
figure 17

The work contours and the directions of plastic strain rates measured at \( \varepsilon _{0}^{{\text{p}}} = 0.003 \) [17], compared with those calculated using Hill’s quadratic, the Yld2000-2d and Cazacu’s yield functions

Table 3 Material properties for determining unknown parameters of anisotropic yield functions

The thick solid curves show the calculated results based on the Yld2000-2d yield function. As a converged solution could not be obtained using an exponent M of 6, we used M = 8 as the exponent of the function. The calculated results are in fair agreement with the measured work contour and the directions of plastic strain rates, although the calculated results locally deviates from the measured data at the stress ratios σ x :σ y  = 1:4 ~ 1:2 and 4:3.

The thin solid curves show the calculated results based on Cazacu’s yield function. The exponent M of the function was taken to be 2. As Cazacu’s yield function used compressive flow stresses (σ 0−, σ 90−) for the determination of the anisotropic parameters, the reproducibility of the work contour in the second and fourth quadrant is superior to those for other yield functions. However, Cazacu’s yield function is not able to reproduce well the asymmetry and bulging tendency of the work contour in the first quadrant. It is noted that Cazacu and coworkers improved Cazacu’s yield function [15] and proposed a more flexible and accurate new yield function with a number of anisotropy coefficients using several linear transformations [16].

The dashed curves show the calculated results based on Hill’s quadratic yield function. It shows large deviation from the observed work contour.

The measured work contours for \( \varepsilon_0^{{\rm p} } = 0.04\,{\hbox{and}}\,{0}{.085} \) were also compared with the yield loci calculated using the yield functions to verify whether these functions are able to reproduce the work hardening behavior of the test material [17]. It was found that the yield loci based on the Yld2000-2d yield function with an exponent of 6 were in good agreement with the measured work contours ‎.

Comparison between measured data and the approximation curve using cubic Bezier curves

The approximation method using cubic Bezier curves proposed in "Analysis method" was applied to the measured data of the pure titanium sheet [17]. Figure 18 compares the work contour and the directions of plastic strain rates in Fig. 17 with the approximation curve using cubic Bezier curves. The weights of the error functions W β and W l were adjusted to the three cases defined in "Error function". The approximation results based on Case 2 are generally closer to the measured data, both in Fig. 18 (a) and (b), than Cases 1 and 3 and the calculated results using anisotropic yield functions as shown in Fig. 17. However, there is still small deviation of the approximated values from the measured work contours in the vicinity of equibiaxial tension region. The cause of this discrepancy may caused by the measurement errors included in the work contour and the directions plastic strain rates.

Fig. 18
figure 18

The work contours and the directions of plastic strain rates measured at \( \varepsilon_0^{{\rm p} } = 0.003 \) [17], compared with the approximation curves calculated using the error function E as defined in “Error function

Analysis of the differential work hardening behavior of the pure titanium using cubic bezier curves

Figure 19 (a) shows the normalized work contours of the pure titanium sheet and the corresponding optimized approximation curves for six different levels of equivalent strain \( \varepsilon_0^{{\rm p} } \). Figure 19 (b) shows the measured directions of plastic strain rates for each level of \( \varepsilon_0^{{\rm p} } \) and the corresponding optimized Bezier curves. The weights of the error functions W β and W l were adjusted following the method of Case 2. The approximation results for each level of \( \varepsilon_0^{{\rm p} } \) shown in Fig. 19 (a) and (b) are in good agreement with the measured data.

Fig. 19
figure 19

The work contours and the directions of plastic strain rates measured at six different levels of \( \varepsilon_0^{{\rm p} } \) [17], compared with the approximation curves calculated using the error function E as defined in “Error function

In order to quantitatively evaluate the reproducibility of the measured work contours by using the approximation curves, the maximum deviation between the measured data and approximation results are shown in Fig. 20. Figure 20 (a) shows the variation of the maximum deviation of the distance L of the stress points from the origin with \( \varepsilon_0^{{\rm p} } \). For \( \varepsilon_0^{{\rm p} } = 0.001\,{\hbox{to}}\,{0}{.004} \), the maximum deviation of L is 8 ~ 10% of the flow stress. For \( \varepsilon_0^{{\rm p} } > 0.005 \), the maximum deviation of L decreases with increasing \( \varepsilon_0^{{\rm p} } \) and results in 4% of the flow stress. Figure 20 (b) shows the variation of the maximum deviation of the directions of measured plastic strain rates β from those of approximated with \( \varepsilon_0^{{\rm p} } \). For \( \varepsilon_0^{{\rm p} } = 0.001\,{\hbox{to}}\,{0}{.004} \), the maximum deviation of β is nearly 10˚ in the range of 36˚≤ φ ≤ 90˚. However, the maximum deviation of β also shows drastic decrease in the vicinity of \( \varepsilon_0^{{\rm p} } = 0.005 \) and reduces to approximately 4.5˚.

Fig. 20
figure 20

Maximum deviation of the approximation curve for the work contours a and the directions of plastic strain rates b from the experimental data in Fig. 19

As the converged maximum deviation of L and β for \( \varepsilon_0^{{\rm p} } > 0.005 \) are enough small, the approximation curves in Fig. 20 (a) can be practically regarded as plastic potential at least for linear stress paths in the first, second and fourth quadrants of stress space.

Conclusion

The anisotropic plastic deformation behavior of commercial pure titanium sheet (JIS #1) was investigated for linear stress paths. The pure titanium showed significant in-plane anisotropy with respect to yield stresses and r-values. The measured plastic work contours in stress space bulged significantly in the direction of equibiaxial tension and showed significant asymmetry between the upper and lower sides of the line σ x  = σ y . Moreover, the material exhibited significant differential work hardening behavior.

The measured data were compared with the calculated values using selected anisotropic yield functions, such as Hill’s quadratic yield function, the Yld2000-2d yield function and Cazacu’s yield function. We conclude that the yield functions are not able to perfectly reproduce the deformation behavior of the pure titanium under biaxial loading.

A method of determining the spline approximation curves that are able to reproduce both work contours and the directions of plastic strain rates was developed. The method ensures the smooth variation of the directions of plastic strain rates with stress ratios. The method was successfully applied to the analysis of the work hardening behavior of the pure titanium sheet. The calculated results using the approximation curves were closer to the measured work contour and the directions of plastic strain rates of the pure titanium than those calculated using the selected anisotropic yield functions. Consequently, we conclude that the approximation curves for the measured work contours can be practically regarded as plastic potentials at least for linear stress paths.

By applying the approximation curves to the measured data of work contours and the directions of plastic strain rates for different levels of \( \varepsilon_0^{{\rm p} } \), the details of the differential work hardening behavior of the pure titanium was successfully revealed. The analyzed data will be useful for the formulation of the differential work hardening behavior of the pure titanium.