Computational Design of Corrosion-resistant and Wear-resistant Titanium Alloys for Orthopedic Implants_2

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Computational Design of Corrosion-resistant and
Wear-resistant Titanium Alloys for Orthopedic Implants
Noel Sionya, Long Vuongb, Otgonsuren Lundaajamtsb, Sara Kadkhodaeic,
aDepartment of Physics, University of Illinois Chicago, 845 W. Taylor St., Chicago, IL 60607 USA
bMechanical & Industrial Engineering, University of Illinois Chicago, 842 W. Taylor St., Chicago, IL
60607 USA
cCivil, Materials, and Environmental Engineering, University of Illinois Chicago, 2095 Engineering
Research Facility, 842 W. Taylor St., Chicago, IL 60607 USA
Abstract
Titanium alloys are promising candidates for orthopedic implants due to their mechan-
ical resilience and biocompatibility. Current titanium alloys in orthopedic implants
still suffer from low wear and corrosion resistance. Here, we present a computational
method for optimizing the composition of titanium alloys for enhanced corrosion and
wear resistance without compromising on other aspects such as phase stability, bio-
compatibility, and strength. We use the cohesive energy, oxide formation energy, sur-
face work function, and the elastic shear modulus of pure elements as proxy descrip-
tors to guide us towards alloys with enhanced wear and corrosion resistance. For the
best-selected candidates, we then use the CALPHAD approach, as implemented in
the Thermo-Calc software, to calculate the phase diagram, yield strength, hardness,
Pourbaix diagram, and the Pilling-Bedworth (PB) ratio. These calculations are used
to assess the thermodynamic stability, biocompatibility, corrosion resistance, and wear
resistance of the selected alloys. Additionally, we provide insights about the role of
silicon on improving the corrosion and wear resistance of alloys.
1. Introduction
Orthopedic implants have significantly improved the quality of life for people who
have irreversibly injured their bones [14]. In the past, a significant injury to the hip
or knee was recovered by amputating the affected limbs [5]. Initial orthopedic im-
plants were very different from what we use today. More akin to metal casts, early
implants used plates and screws to reinforce damaged bones rather than completely
replace the damaged bone with a new artificial part. It was not until later that science
had progressed far enough to make the concept of a complete replacement possible for
patients. The first knee implants utilized ivory as the primary construction material [6].
The success of the material for an implant depends on several factors: biocompatibility
Corresponding author
Email address: sarakad@uic.edu (Sara Kadkhodaei)
Preprint submitted to Elsevier October 4, 2022
arXiv:2210.00845v1 [physics.med-ph] 22 Sep 2022
with the body, the strength of the material, ability to resist wear, and the ability to resist
the corrosive conditions of the body. At the time, ivory was the best material that fit
these criteria as it can withstand compression forces quite well and is naturally resistant
to corrosion inside the body [7]. Additionally, studies done on patients long after they
had been given an ivory implant showed that the bone fused well with the ivory implant
in most areas [7].
Later, ceramic implants were tested because they provided higher wear resistance.
Today, ceramic implants are still used for patients who reject metal implants due to im-
mune reactions. However, the major drawbacks to ceramic implants come from their
brittle nature and inability to take repetitive impacts (dynamic loading) from activities
such as jogging [8]. Ceramic implants bring a higher chance of fracture and, in the
worst cases, the complete shattering of the implant. Today, a commonly used ceramic
is alumina due to its great ability to withstand compression forces and wear. However,
alumina suffers from a weakness to tensile stresses like other ceramics do [9]. Zirco-
nia is a common alternative to alumina as it shares hardness properties comparable to
alumina while having incredible crack resistance. A composite material was developed
composed of zirconia introduced into an alumina matrix called zirconia toughened alu-
mina or ZTA [10]. This composite combines the best features of its base materials
and offers a material that is highly resistant to wear and cracking while maintaining its
high toughness [11]. Though ZTA excels in these categories, it is prone to aging in the
presence of water; a form of deterioration that leads to lowered strength and a higher
risk of fracture [12].
Metal implants became available as the metal industry evolved and more manu-
facturing processes became available and refined [1318]. Early implementations of
metal implants suffered from a lack of quality control leading to low wear resistance
and fracturing [19]. The low wear resistance lead to more significant implant deteriora-
tion and cause free-floating metal ions to enter the bloodstream. For patients with weak
kidneys, this heightened metal level in the bloodstream could result in metal poisoning
as they cannot filter out the metal fast enough [19]. To avoid metal poisoning, metal
implants with higher wear resistance are needed. Aside from high wear resistance, the
desired characteristics are high strength, low modulus, and excellent corrosion resis-
tance. The combination of low elastic modulus and high strength of the implant results
in a more uniform distribution of stresses between the bone and the implant [11,20].
Typical metals for orthopedic implants are cobalt-chrome alloys (CoCr), stainless
steel, and titanium alloys. For a long time, CoCr was one of the primary materials used
in the construction of surgical and dental implants due to its ability to resist corrosion
better than stainless steel and ceramics. CoCr utilizes its oxide layer, Cr2O3, to pro-
tect itself from corrosion. Its high corrosion resistance combined with wear resistance,
biocompatibility, and strength, makes CoCr the alloy of choice for implants [21]. Even
though CoCr is one of the most wear-resistant and corrosive-resistant alloys for im-
plants, if the oxide layer does get worn down and cobalt and chromium particles are
exposed to the patient’s bloodstream, it will result in severe immune reactions. While
the effects of low amounts of Co and Cr particles in the body are still mostly unknown,
high amounts of these elements are highly toxic to humans [22,23]. Surgical grade
stainless steel (316L) is mainly used for non-permanent applications such as stabiliz-
ing broken bones to help the body heal. In some cases, these implants are replaced
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with a CoCr or titanium-alloy-based implant if the situation demands it. Stainless steel
transient usage is because stainless steel does not resist corrosion and is not as strong
as titanium alloys [11]. Alloying stainless steel with other elements does improve cor-
rosion resistance but it is still outclassed by many other materials.
Titanium alloys have excellent material properties and high corrosion resistance [24
26]. Like CoCr, titanium naturally forms an oxide when inside the human body that
protects it from corrosion resistance [27]. Grade four commercially pure titanium (CP-
Ti) and Ti-6Al-4V (Ti-64) are the two most commonly used forms of titanium for
medical implants [24,28]. Titanium’s success as an implant comes from its superiority
in corrosion resistance, biocompatibility, and high strength to weight ratio [23,2833].
However, titanium suffers from lower wear resistance than CoCr and more often results
in wear debris in patients [11]. The debris poses a considerable risk to patients since
vanadium is highly cytotoxic [34]. Many substitutions to vanadium have been made to
create a safer alloy. For example, Ti-6Al-7Nb substituted out the cytotoxic vanadium
for the much safer alternative of niobium which had the added benefit of increasing
corrosion resistance [34]. Ti-5Al-2.5Fe is another alloy created for a similar purpose.
Ti-5Al-2.5Fe is an improvement on Ti-6Al-4V in almost all fields [35]. Surface modi-
fication of titanium alloys have also been reported to improve the corrosion resistance,
such as the use of SiO2oxide for coating the Ti6Al7Nb alloy and the CP-Ti titanium
(Grade 4) [36,37]. However, even with all these improvements, all Ti-alloys still suffer
from the same problem that all implants suffer from: the constant friction forces gener-
ate considerable amounts of metal debris inside the body over a long time [35,38], and
new modifications of the alloy composition to improve wear resistance is desirable.
This report aims to present a computational method for optimizing the compo-
sition of titanium alloys for increased wear and corrosion resistance. The presented
method and alloy optimization results serve a two-fold purpose: 1) To provide a high-
throughput method for down-selecting alloys with improved corrosion and wear resis-
tance, which can be utilized to guide the experimental design of orthopedic implants.
2) To deepen our understanding of the effect of different alloying elements on increas-
ing the mechanical compatibility, wear resistance, and corrosion resistance of alloys.
The presented computational approach is used for assessing the stability, mechanical
biocompatibility, wear resistance, and corrosion resistance of several titanium alloys.
We adopt a two-tier approach: In the first tier, we use fundamental atomic and elec-
tronic attributes for a high-throughput selection of alloying elements that increase wear
and corrosion resistance. In the second tier, we use the CALPHAD databases and tools
integrated within the ThermoCalc software to predict the thermodynamic stability, cor-
rosion resistance, wear resistance, and mechanical compatibility of the selected ternary
titanium alloys. We show the improvement of corrosion resistance among the selected
alloy based on their reduced Pilling-Bedworth (PB) ratio, defined as the volume of
formed oxide phase(s) divided by the volume of alloy phase(s) that formed the oxides.
Enhanced wear resistance is assessed based on the increased hardness of the selected
alloys compared to the benchmark system of Ti-6Al-4V (mole%).
In section 2, we elaborate on the methodology used in this work. In section 3,
we utilize the methodology to select ternary titanium alloys with improved wear and
corrosion resistance. We study the stability, biocompatibility, wear resistance, and cor-
rosion resistance of the selected alloys using the CALPHAD approach. In section 4, we
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study the role of increased silicon concentration in improving the wear and corrosion
resistance of alloys and suggest a pathway toward the use of silicon alloys for medical
implants. In section 5, we discuss the limitations of the presented method compared to
available studies for the dynamic corrosion behavior and tribocorrosion phenomena in
alloys for orthopedic implants. Additionally, we compare the findings of this work with
other experimental and clinical studies of the mechanical properties, wear resistance,
and corrosion resistance of Ti-alloys for implants. Finally, in section 6, we present
conclusive remarks about the effect of different alloying elements on improving the
hardness and corrosion resistance of the alloys in our study.
2. Method
We use a two-tier process to design Ti-alloys with enhanced wear and corrosion re-
sistance. The complexity and accuracy of our analysis increase progressively, moving
from tier one to two. In tier one, a rapid screening that covers a wide range of alloying
elements is performed based on simple fundamental parameters as descriptor proxies
for corrosion and wear resistance. To this end, we use available density functional the-
ory (DFT) data for the relevant fundamental parameters, including the cohesive energy,
oxide formation energy, surface work function, and elastic shear modulus. A similar
approach based on cohesive energy and oxide formation energy was initially proposed
by Markus [39] but has only been examined for pure metals. Taylor and coworkers
suggested that an integrative approach that can benefit from these descriptor proxies
should be further developed [40]. Here, we extend Markus’ approach to alloy systems
and add the surface work function as an additional descriptor. Our approach provides
new insights into the suggested integrated computational materials engineering (ICME)
approach by Taylor and co-workers.
In tier two, the corrosion and wear resistance of selected alloys from tier one will be
assessed based on comprehensive thermodynamic data and sophisticated optimization
techniques employed in the Thermo-Calc Software TCTI3 Ti-alloys database [41]. We
use the Equilibrium Calculator for phase diagram and Pourbaix diagram calculations
and the Property Model Calculator for yield strength and hardness calculations.
3. Results
3.1. High-throughput Screening of Ti alloys
We use three different DFT parameters, calculated for transition metals and met-
alloids elements, as proxy descriptors to optimize the alloys for enhanced corrosion
resistance: 1) the cohesive energy, which is the measure of the metal-metal (M-M)
bond strength, as a proxy descriptor of dissolution resistance, 2) the oxide formation
energy, which is the measure of the metal-oxygen (M-O) bond strength, as a proxy
descriptor for oxide scale formation tendency, and 3) the surface work function, which
is the electrostatic work needed to transport the charged electron through the dipole
layer of the metal surface undergoing oxidation. A large surface work function shows
the electrochemical nobility of the metal and favors the galvanic corrosion resistance
of the metal surface. The DFT parameters are collected from the Materials Project
4
database [42] and are provided in Supplemental Table 1. The oxidation formation en-
ergy is the formation energy per atom for the most stable metal oxide available in the
Materials Project database. The surface work function is the weighted average over
different surface orientations. The cohesive energy is the difference between the bulk
energy and the sum of total DFT energy of isolated atoms in the bulk, obtained from
the Materials Project database.
For increasing the corrosion resistance, our strategy is to select metal components
that combine the oxide scale formation tendency, dissolution resistance, and galvanic
corrosion resistance based on the aforementioned proxy descriptors. In other words, we
optimize the alloy composition through a synergistic operation of alloying elements as
passive (or protective) scale promoters and dissolution blockers. We combine alloying
elements that promote the formation of a passive oxide scale (i.e., selecting elements
with high oxidation formation tendency) with those with a high dissolution resistance
under the human body chemical conditions (i.e., selecting elements with high cohesive
energy and work function). Thereby, we identify scale-forming alloying elements that
can combine the following attributes: high oxidation tendency in the base alloy to form
a stable oxide scale combined with high cohesive energy and work function to mitigate
dissolution and galvanic corrosion.
0123456789
Cohesive energy(eV)
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Oxide formation (eV)
Al
Au
Cd
Cr
Fe
Hf
Mn Mo
Nb
Ni
Pd Pt
Sb
Sc
Si
Sn
Ta
Tc
Te
Ti
V
W
Zn
Zr
Oxide Scale Promoters
Dissolution Bloackers
a) b)
Figure 1: Fundamental parameters of potential alloying elements (transition metals and metalloids). a)
Oxide formation energy versus the cohesive energy and the weighted surface work function for several
possible alloying elements. The arrows illustrate the increased dissolution blocking and scale formation
capability of different alloying elements. b) Cohesive energy (M-M bond strength) as a proxy descriptor for
metal dissolution resistance versus oxide formation energy (M-O bond strength) as a proxy for oxide scale
formation tendency.
Figure 1(a) shows the oxidation formation energy in terms of the cohesive energy
and surface work function for several possible alloying elements. Increasing the sur-
face work function and cohesive energy favors resistance to corrosive dissolution while
increasing the oxide formation tendency favors oxide scale formation. Figure 1(b) il-
lustrates the oxide formation energy against the cohesive energy. Elements with high
oxide formation energies and relatively low cohesive energies are good oxide scale pro-
moters (see Figure 1(b)). Classical examples are Cr and Al in superalloys that form
protective Cr2O3and Al2O3scales [43]. On the other hand, elements with high cohe-
sive energies and relatively low oxide formation energies are good dissolution blockers
5
摘要:

ComputationalDesignofCorrosion-resistantandWear-resistantTitaniumAlloysforOrthopedicImplantsNoelSionya,LongVuongb,OtgonsurenLundaajamtsb,SaraKadkhodaeic,aDepartmentofPhysics,UniversityofIllinoisChicago,845W.TaylorSt.,Chicago,IL60607USAbMechanical&IndustrialEngineering,UniversityofIllinoisChicago,84...

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