The automotive industry continually seeks more cost-effective steels that are lighter for more fuel-efficient vehicles and stronger for enhanced crash-resistance, while still being formable. Tailored strength structural components are essential to achieve weight-saving while meeting structural performance of automotive components. Today, there is increasing use of tailored press hardened components in the marketplace that manipulate the ability to control thermal martensite via controlled cooling following hot stamping.
Applications of tailored strength components can include various rail sections (front rail, roof rails, rear rails) that can potentially be produced through thermo-mechanical tube hydroforming process as well as B-pillars and sheet formed components that are produced using segmented cooled/heated dies to achieve specific strength levels in different locations.
Austenitic steels typically have higher ultimate tensile strengths combined with high total elongations. The austenitic microstructure is ductile and has the potential to produce high total tensile elongations. The austenitic microstructure is sometimes not stable at room temperatures (or is metastable), and when the steel is subjected to plastic deformation the austenite often transforms into martensite (stress/strain induced martensite). Martensite is a microstructure with higher strengths, and the combined effect of having a mixture of microstructures, such as austenite plus martensite, is to increase of the overall tensile strength. When austenite is subjected to plastic deformation and transforms to martensite, the overall strength of the steel is increased.
Next generation steels (and metastable austenitics) rely on austenite transformation to martensite with deformation for strengthening. Steel grades suitable for a quench and partitioning process, or those that exhibit transformation induced plasticity, can be carefully processed to achieve, for example, 10-20% retained austenite. The expectation is that this austenite will transform to martensite during forming to provide additional strength in the finished part. Austenite stability is known to have dependence on steel composition, temperature, strain rate, strain level, and stress state. Increasing the temperature suppresses transformation and increases austenite stability. Increasing the strain rate results in higher adiabatic heat generation in the sample and effectively has the same effect as increasing the test temperature. In general, increasing the strain level promotes transformation with a sigmoidal dependence. In any complex stamped part, the deformation mode can range from draw conditions (pure shear to plane strain) to stretching conditions (plane strain to balanced biaxial tension). Martensitic transformation occurs through pure shear, and there is literature which suggests that even at the same equivalent strain the amount of transformation may vary with the deformation mode.
The present embodiments facilitate the development of thermo-mechanical hydroforming or sheetforming processes for producing structural components from austenite-containing stainless and carbon grades with tailored properties by controlling the amount of deformation martensite in a given part location by controlling the temperature and strain introduced during forming.
The present application pertains to a methodology that can be used to facilitate rapid design of thermo-mechanical processes (tube hydroforming, sheet hydroforming, and/or conventional sheet metal forming) in order to produce tailored strength structural components. In many of these components, it may be advantageous to tailor the strength in different regions of the component.
The methods described in this present application can be used to quantitatively predict the amount of deformation induced martensite as a function of temperature and strain that has been proven to work very well for austenitic stainless steels and use that calculation to customize the strength and elongation characteristics of certain portions of the structural component. Predicting the martensitic volume fraction in a specific part location will permit design of particular components with customized strength characteristics that can be consistently repeatably manufactured. The method described here can easily be adapted to other austenite bearing carbon/stainless steel grades that rely on transformation induced plasticity (TRIP) mechanism.
It is well known that metastable austenitic stainless steels and next generation retained austenite-containing advanced high strength steels rely on transformation of austenite during deformation for strengthening. As explained above, the transformation kinetics are believed to depend upon the chemical composition, strain amount, temperature (strain rate) and possibly deformation mode.
Empirical measures of austenite stability such as Md30 and Instability Factor are available that provide directional guidance on how stable or unstable a given austenitic grade is based on chemical composition. Md30 is defined as the temperature at which 50% martensite is present at 30% strain. Md30 can be calculated using the following equation:
Md30(° C.)=413-462*(C+N)−9.2*Si−8.1*Mn−13.7*Cr−9.5*Ni−18.5*Mo Eqtn. 1
Typically, the higher the Md30 value, the more unstable the austenite in the grade.
An instability function (IF) was introduced in a U.S. Pat. No. 3,599,320 for assessing austenite stability within a specific range of chemical composition containing 0.07-0.18 C, 0.9-6.2 Mn, 4.1-7.7 Ni, 14.1-17.9 Cr, 0.01-0.14 N with the balance being iron. The instability function varying from 0 to 2.9 was reported for this composition range, and determined by the equation (2) below:
IF=37.193−51.248[C]−1.0174[Mn]−2.5884[Ni]−0.4677[Cr]−34.396 [N] (Eqtn. 2)
Steels that exhibited IF values between 0 and 2.9 were classified as being “slightly metastable” in the patent filing, while “wholly stable” steels exhibited negative IF values.
However, the methods to define austenite stability are not useful for quantitative prediction of the amount of martensite based on a given strain and temperature at a particular location on a formed component. Md30 and IF will tell you whether a grade with a particular composition is more or less stable. That is, a material with lower austenite stability will transform more (higher volume fraction of martensite) compared to a material that has high austenite stability.
The present methods provide a more coherent methodology that can be used not only to indicate austenite stability of a particular grade, but also to design thermo-mechanical processes (hydroforming or conventional forming) to produce tailored strength levels in different structural components. As an example of the potential enhancement in strength level possible with temperature control, data from isothermal tests is shown for a Nitronic 30 steel grade in
The inflection in stress strain response is a result of deformation induced martensite that can be measured with interrupted testing to different strain levels using several techniques including magnetic induction, X-ray diffraction or Neutron diffraction. Data from these different methods are related to each other via linear extrapolation methods; an example of measured amount of deformation martensite using magnetic induction is shown in
While the data in
To streamline this understanding of austenite transformation kinetics into a useful predictive tool, a characteristic strain curve methodology was developed to normalize the data with respect to temperature and strain level. It is to be noted that the effect of strain rate is implicitly included in this approach since an increasing strain rate corresponds to more adiabatic internal heating in the deformed sample that results in an increase in temperature. In the present methods, the characteristic strain is simply the amount of strain needed to achieve a desired (arbitrary) amount of transformed martensite at different temperatures. An example is shown in
Characteristic strain curves for the Nitronic 30 material based on different choices of amount of martensite is shown in
Once the characteristic strain curve is known for a given grade, it allows us to predict the volume fraction of martensite in any thermo-mechanical process for that particular austenite containing grade as shown in
The single curve shown in
A further simplication occurs in the case of austenitic stainless steels. In this case, we have discovered that a single universal curve exists that is sufficient to describe the amount of transformed martensite in all these grades.
We have discovered that all of the austenitic stainless steel data maps into one single universal transformation curve shown in
The present process provides the following benefits. This universal curve can be used for austenitic steels, or any steels that contain retained austentite, to quantitatively predict volume fraction martensite in a given part for a given grade, or to obtain a desired volume fraction martensite in a given part.
Although the equations were developed in uniaxial tension, they can also be developed to be used in the same manner for different modes, such as biaxial tension. And the above described process can be used to develop similar curves for other steel materials.
An exemplary part, a generic representation of an automotive B-pillar, depicted in
The method described herein facilitates the thermo-mechanical forming in conventional sheet forming with segmented dies, or with sheet hydroforming with temperature control for a generic B-pillar such as the one in
The second option the process designer has is to say that he does not want to alter the temperature as much and will choose to use a welded blank with two different materials that transform differently to achieve the targeted strength differential he is seeking to create a tailored strength component. The concept invoked here is that a given volume fraction of martensite (corresponds to a given target strength level) is directly related to the normalized strain WO as shown in
A second exemplary part is a front crush rail component such as shown in
A formed part is made by identifying at least one pre-determined mechanical property in a region of the formed part; associating a martensite volume fraction level with said pre-determined strength level; using a universal strain curve to determine the normalized strain corresponding to the martensite volume fraction; and either selecting a steel to provide the normalized strain or selecting process constraints in a forming process to provide the normalized strain.
The process of Example 3, or any following example, wherein the normalized strain is provided by selecting a particular grade of steel.
The process of Examples 3 or 4, or any following example, wherein the normalized strain is provided by selecting process constraints in a forming process.
The process of Examples 3, 4, or 5, or any following example, wherein the process constraints comprise at least one of effective strain or forming temperature.
The process of Examples 3, 4, 5, or 6, or any following example, wherein the effective strain is provided by a stamping die configuration.
A blank made of steel is formed into a formed part, wherein the formed part has at least two regions with differing mechanical properties; by identifying the mechanical parameters for each region of the part; associating a martensite volume fraction with the identified mechanical parameters for each region of the part; determining a characteristic strain curve for the steel; based on the characteristic strain curve for the steel, selecting the true strain and temperature necessary to create the martensite volume fraction associated with each region of the part; configuring a die to provide the selected true strain for each region of the part; and forming each region of the part at the forming temperature and in the die configuration selected for said region to create the tailored formed part.
The process of example 8, or any following examples, wherein the steel is an austenitic stainless or carbon steel.
The process of example 8 or 9, of any following examples, wherein the steel includes retained austenite.
The process of examples 8, 9, or 10, or any following examples, wherein the blank is a tube.
The process of examples 8, 9, 10, or 11, or any following examples, wherein the blank is a sheet.
The process of examples 8, 9, 10, 11, or 12, or any following examples, wherein the mechanical properties can include strength level.
The process of examples 8, 9, 10, 11, 12, or 13, or any following examples, wherein the characteristic strain curve for the steel is determined by identifying the amount of austenite transformed into martensite after deformation at three or more different temperatures.
A formed part is formed by providing a blank made of steel to be formed into a formed part, wherein the formed part has at least two regions with differing mechanical properties; identifying the mechanical parameters for each region of the part; associating a martensite volume fraction with the identified mechanical parameters for each region of the part; determining a characteristic strain curve for the steel; based on the characteristic strain curve for the steel, selecting the true strain and temperature necessary to create the martensite volume fraction associated with each region of the part; configuring a die to provide the selected true strain for each region of the part; and forming each region of the part at the forming temperature and in the die configuration selected for said region to create the tailored formed part.
The process of example 16 wherein the characteristic strain curve for the steel is determined by identifying the amount of austenite transformed into martensite after deformation at three or more different temperatures.
This application claims priority to U.S. Provisional Application Ser. No. 62/539,921, entitled “A Method for Facilitating Thermomechanical Hydro/Sheet Forming Process of Austenite containing Grades to Produce Tailored Strength Structural Components,” filed on Aug. 1, 2017, the disclosure of which is incorporated by reference herein.
Number | Date | Country | |
---|---|---|---|
62539921 | Aug 2017 | US |