Nanoindentation

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Nanoindentation is a variety of indentation hardness tests applied to small volumes. Indentation is perhaps the most commonly applied means of testing the mechanical properties of materials. The nanoindentation technique was developed in the mid-1970s to measure the hardness of small volumes of material.^[1]

Background

In a traditional indentation test (macro or micro indentation), a hard tip whose mechanical properties are known (frequently made of a very hard material like diamond) is pressed into a sample whose properties are unknown. The load placed on the indenter tip is increased as the tip penetrates further into the specimen and soon reaches a user-defined value. At this point, the load may be held constant for a period or removed. The area of the residual indentation in the sample is measured and the hardness, H, is defined as the maximum load, P_max, divided by the residual indentation area, A_r, or

$H={\frac {P_{{max}}}{A_{{r}}}}$ .

For most techniques, the projected area may be measured directly using light microscopy. As can be seen from this equation, a given load will make a smaller indent in a "hard" material than a "soft" one.

This technique is limited due to large and varied tip shapes, with indenter rigs which do not have very good spatial resolution (the location of the area to be indented is very hard to specify accurately). Comparison across experiments, typically done in different laboratories, is difficult and often meaningless. Nanoindentation improves on these macro and micro indentation tests by indenting on the nanoscale with a very precise tip shape, high spatial resolutions to place the indents, and by providing real-time load-displacement (into the surface) data while the indentation is in progress.

Nanoindentation

Figure 1. Schematic of load-displacement curve for an instrumented nanoindentation test

In nanoindentation small loads and tip sizes are used, so the indentation area may only be a few square micrometres or even nanometres. This presents problems in determining the hardness, as the contact area is not easily found. Atomic force microscopy or scanning electron microscopy techniques may be utilized to image the indentation, but can be quite cumbersome. Instead, an indenter with a geometry known to high precision (usually a Berkovich tip, which has a three-sided pyramid geometry) is employed. During the course of the instrumented indentation process, a record of the depth of penetration is made, and then the area of the indent is determined using the known geometry of the indentation tip. While indenting, various parameters such as load and depth of penetration can be measured. A record of these values can be plotted on a graph to create a load-displacement curve (such as the one shown in Figure 1). These curves can be used to extract mechanical properties of the material.^[2]

Young's modulus: The slope of the curve, dP/dh, upon unloading is indicative of the stiffness S of the contact. This value generally includes a contribution from both the material being tested and the response of the test device itself. The stiffness of the contact can be used to calculate the reduced Young's modulus E_r:

$E_{r}={\frac {1}{\beta }}{\frac {{\sqrt {\pi }}}{2}}{\frac {S}{{\sqrt {A_{p}(h_{c})}}}},$

where $A_{p}(h_{c})$ is the projected area of the indentation at the contact depth h_c, and β is a geometrical constant on the order of unity. $A_{p}(h_{c})$ is often approximated by a fitting polynomial as shown below for a Berkovich tip:

$A_{p}(h_{c})=C_{0}h_{c}^{2}+C_{1}h_{c}^{1}+C_{2}h_{c}^{{1/2}}+C_{3}h_{c}^{{1/4}}+\ldots +C_{8}h_{c}^{{1/128}}$

Where C₀ for a Berkovich tip is 24.5 while for a cube corner (90°) tip is 2.598. The reduced modulus E_r is related to Young's modulus $E_{s}$ of the test specimen through the following relationship from contact mechanics:

$1/E_{r}=(1-\nu _{i}^{2})/E_{i}+(1-\nu _{s}^{2})/E_{s}.$

Here, the subscript i indicates a property of the indenter material and $\nu$ is Poisson's ratio. For a diamond indenter tip, E_i is 1140 GPa and $\nu _{i}$ is 0.07. Poisson’s ratio of the specimen, $\nu _{s}$ , generally varies between 0 and 0.5 for most materials (though it can be negative) and is typically around 0.3.

An AFM image of an indent left by a Berkovich tip in a Zr-Cu-Al metallic glass; the plastic flow of the material around the indenter is apparent.

Hardness: There are two different types of hardness that can be obtained from a nano indenter: one is as in traditional macroindentation tests where one attains a single hardness value per experiment; the other is based on the hardness as the material is being indented resulting in hardness as a function of depth.

$H={\frac {P_{{max}}}{A_{{r}}}}.$

The hardness is given by the equation above, relating the maximum load to the indentation area. The area can be measured after the indentation by in-situ atomic force microscopy, or by 'after-the event' optical (or electron) microscopy. An example indentation image, from which the area may be determined, is shown at right.

Some nanoindenters use an area function based on the geometry of the tip, compensating for elastic load during the test. Use of this area function provides a method of gaining real-time nanohardness values from a load-displacement graph. However, there is some controversy over the use of area functions to estimate the residual areas versus direct measurement.^{[citation needed]} An area function $A_{p}(h_{c})$ typically describes the projected area of an indent as a 2nd-order polynomial function of the indenter depth h. Exclusive application of an area function in the absence of adequate knowledge of material response can lead to misinterpretation of resulting data. Cross-checking of areas microscopically is to be encouraged.

Strain-rate sensitivity: The strain-rate sensitivity of the flow stress m is defined as

$m={\frac {\partial \ln {\sigma }}{\partial \ln {{\dot {\varepsilon }}}}},$

where $\sigma =\sigma ({\dot {\varepsilon }})$ is the flow stress and ${\dot {\varepsilon }}$ is the strain rate produced under the indenter. For nanoindentation experiments which include a holding period at constant load (i.e. the flat, top area of the load-displacement curve), m can be determined from

$d\ln {H}=md\ln {{\dot {\varepsilon _{p}}}}+nd\ln {h_{p}}.$

The subscripts $p$ indicate these values are to be determined from the plastic components only.

Activation volume: Interpreted loosely as the volume swept out by dislocations during thermal activation, the activation volume $V^{*}$ is

$V^{*}=9k_{B}T{\frac {\partial \ln {{\dot {\varepsilon }}}}{\partial H}},$

where T is the temperature and k_B is Boltzmann's constant. From the definition of m, it is easy to see that $V^{*}\propto (Hm)^{{-1}}$ .

Software

Software is the best tool to analyze the nanoindentation load versus displacement curves for hardness and elastic modulus calculations. The Martens hardness, HM, is a simple software for any programmer having minimal background to develop. The software starts by searching for the maximum displacement, $h_{{max}}$ , point and maximum load, $P_{{max}}$ .

$HM={\frac {P_{{max}}}{A_{{s}}}}.$

The displacement is used to calculate the contact surface area, A_s, based on the indenter geometry. For a perfect Berkovich indenter the relationship is $A_{s}=24.5h_{{max}}^{2}$ .

The Indentation hardness, $H_{{IT}}$ is defined slightly different.

$H_{{IT}}={\frac {P_{{max}}}{A_{{p}}}}.$

Here, the hardness is related to the projected contact area $A_{p}$ .

As the indent size decreases the error caused by tip rounding increases. The tip wear can be accounted for within the software by using a simple polynomial function. As the indenter tip wears the C₁ value will increase. The user enters the values for C₀ and C₁ based on direct measurements such as SEM or AFM images of the indenter tip or indirectly by using a material of known elastic modulus or an AFM image of the an indentation.

$A_{p}=C_{0}h_{{max}}^{2}+C_{1}h_{{max}}.$

Calculating the elastic modulus with software involves using software filtering techniques to separate the critical unloading data from the rest of the load-displacement data. The start and end points are usually found by using user defined percentages. This user input increases the variability because of possible human error. It would be best if the entire calculation process was automatically done for more consistent results. A good nanoindentation machine prints out the load unload curve data with labels to each of the segments such as loading, top hold, unload, bottom hold, and reloading. If multiple cycles are used then each one should be labeled. However mores nanoindenters only give the raw data for the load-unload curves. An automatic software technique finds the sharp change from the top hold time to the beginning of the unloading. This can be found by doing a linear fit to the to hold time data. The unload data starts when the load is 1.5 times standard deviation less than the hold time load. The minimum data point is the end of the unloading data. The computer calculates the elastic modulus with this data according to the Oliver-Pharr (nonlinear). The Doerner-Nix method is less complicated to program because it is a linear curve fit of the selected minimum to maximum data. However, it is limited because the calculated elastic modulus will decrease as more data points are used along the unloading curve. The Oliver-Pharr nonlinear curve fit method to the unloading curve data where h is the depth variable, h_f is the final depth and k and m are constants and coefficients. The software must use a nonlinear convergence method to solve for k, h_f and m that best fits the unloading data. The slope is calculated by differentiating dP/dh at the maximum displacement.

$P=k\left(h-h_{{f}}\right)^{m}.$

An image of the indent can also be measured using software. The Atomic Force Microscope (AFM) scans the indent. First the lowest point of the indentation is found. Make an array of lines around the using linear lines from indent center along the indent surface. Where the section line is more than several standard deviations (>3 sigma) from the surface noise the outline point is created. Then connect all of the outline points to build the entire indent outline. This outline will automatically include the pile-up contact area.

Devices

The construction of a depth-sensing indentation system is made possible by the inclusion of very sensitive displacement and load sensing systems. Load transducers must be capable of measuring forces in the micronewton range and displacement sensors are very frequently capable of sub-nanometer resolution. Environmental isolation is crucial to the operation of the instrument. Vibrations transmitted to the device, fluctuations in atmospheric temperature and pressure, and thermal fluctuations of the components during the course of an experiment can cause significant errors.

The ability to conduct nanoindentation studies with nanometer depth, and sub-nanonewton force resolution is also possible using a standard AFM setup. The AFM allows for nanomechanical studies to be conducted alongside topographic analyses, without the use of dedicated instruments. Load-displacement curves can be collected similarly for a variety of materials, and mechanical properties can be directly calculated from these curves.^[3]

Limitations

Conventional nanoindentation methods for calculation of Modulus of elasticity (based on the unloading curve) are limited to linear, isotropic materials. Problems associated with the "pile-up" or "sink-in" of the material on the edges of the indent during the indentation process remain a problem that is still under investigation.

It is possible to measure the pile-up contact area using computerized image analysis of atomic force microscope (AFM) images of the indentations.^[4] This process also depends on the linear isotropic elastic recovery for the indent reconstruction.

References

↑ Poon, B; Rittel, D; Ravichandran, G (2008). "An analysis of nanoindentation in linearly elastic solids". International Journal of Solids and Structures 45 (24): 6018. doi:10.1016/j.ijsolstr.2008.07.021.
↑ W.C. Oliver and G.M. Pharr (2011). "Measurement of hardness and elastic modulus by instrumented indentation: Advances in understanding and refinements to methodology". Journal of Materials Research 19: 3. doi:10.1557/jmr.2004.19.1.3.
↑ Kurland, NE; Drira, Z; Yadavalli, VK (2011). "Measurement of nanomechanical properties of biomolecules using atomic force microscopy". Micron (Oxford, England : 1993) 43 (2-3): 116–28. doi:10.1016/j.micron.2011.07.017. PMID 21890365.
↑ Shuman, David (2005). "Computerized Image Analysis Software for Measuring Indents by AFM". Microscopy and Analysis 107: 21.

Nanoindentation

Background

Nanoindentation

Software

Devices

Limitations

References

Further reading