A massive carbon footprint is associated with the ubiquitous use of plastics and their afterlife. Greenhouse gas (GHG) emissions from plastics are rising and increasingly consuming the global "carbon budget". It is, hence, paramount to implement an effective strategy to reclaim postconsumer plastic as feedstock for technologically innovative materials. Credible opportunity is offered by advances in materials chemistry and catalysis. Here, we demonstrate that by dynamically crosslinking thermoplastic polyolefins, commodity plastics can be upcycled into technically superior and economically competitive materials. A broadly applicable crosslinking strategy has been applied to polymers containing solely carbon-carbon and carbon-hydrogen bonds, initially by maleic anhydride functionalization, followed by epoxy-anhydride curing. These dynamic networks show a distinct rubber modulus above the melting transition. We demonstrate that sustainability and performance do not have to be mutually exclusive. The dynamic network can be extruded into a continuous filament to be in three-dimensional (3D) printing of complex objects, which retain the mechanical integrity of vitrimers. Being covalently crosslinked, these networks show a thermally triggered shape-memory response, with 90% recovery of a programmed shape. This study opens up the possibility of reclaiming recycled thermoplastics by imparting performance, sustainability, and technological advances to the reprocessed plastic.
A massive carbon footprint is associated with the ubiquitous use of plastics and their afterlife. Greenhouse gas (GHG) emissions from plastics are rising and increasingly consuming the global "carbon budget". It is, hence, paramount to implement an effective strategy to reclaim postconsumer plastic as feedstock for technologically innovative materials. Credible opportunity is offered by advances in materials chemistry and catalysis. Here, we demonstrate that by dynamically crosslinking thermoplastic polyolefins, commodity plastics can be upcycled into technically superior and economically competitive materials. A broadly applicable crosslinking strategy has been applied to polymers containing solely carbon-carbon and carbon-hydrogen bonds, initially by maleic anhydride functionalization, followed by epoxy-anhydride curing. These dynamic networks show a distinct rubber modulus above the melting transition. We demonstrate that sustainability and performance do not have to be mutually exclusive. The dynamic network can be extruded into a continuous filament to be in three-dimensional (3D) printing of complex objects, which retain the mechanical integrity of vitrimers. Being covalently crosslinked, these networks show a thermally triggered shape-memory response, with 90% recovery of a programmed shape. This study opens up the possibility of reclaiming recycled thermoplastics by imparting performance, sustainability, and technological advances to the reprocessed plastic.
Fossil fuel-based feedstock
is the building block of the majority
of plastics today.[1] Since the last four
decades, plastic production has quadrupled. Ever-increasing anthropogenic
greenhouse gas (GHG) emissions are associated with proliferating plastic
production, endangering the environment. Global life-cycle GHG emissions
of plastic were 1.7 Gt CO2-equivalent (CO2e)
in 2015 and are projected to reach 6.5 Gt CO2e by 2050.
It is estimated that if the current trend in GHG emissions from plastics
is continued, it will consume 15% of the global “carbon budget”
by 2050, thus presenting a critical concern to the global effort to
curb total anthropogenic carbon emission.[2]Production of carbon-intensive virgin polymers can be significantly
reduced by recycling after the service life of commodity plastics.[3] Globally, over 150 million tons of plastic are
disposed of annually, and only about 10% are being recycled. Megatons
of this plastic can be an untapped resource and a valuable feedstock.[4] Conventional mechanical recycling is a downward
spiral in terms of technical and monetary values caused by deteriorating
mechanical properties due to the incomplete purification. Energy recovery
as an end-of-life treatment such as incineration leads to the release
of toxins and carbon emissions. It is thus paramount to develop an
efficient strategy to enable polymers to remain inherently recyclable
without compromising their material properties. In principle, it is
possible to chemically tailor the functionality of the polymer backbone
to remake high-valued materials with minimal loss of performance,
thus enabling re-entry into the functional life cycle; such a feat
is the hallmark of the cradle-to-cradle life cycle of plastics having
a profound impact in mitigating GHG emissions.[5,6]Canonically, synthetic polymers are classified into two distinct
families: thermoplastics and thermosets. Held together by physical
intermolecular forces, thermoplastics are simply entangled polymer
chains; although lightweight, tough, and reprocessable, they are often
soluble and cannot preserve mechanical integrity at elevated temperatures.
Thermosets, on the other hand, are covalently crosslinked networks
and thus tough, insoluble, and withstand high temperatures. However,
being permanently crosslinked, these materials are “petrified”
after synthesis and, hence, cannot be reprocessed and repurposed.
The fixed geometry of injection molding restricts these high-performing
thermoset materials to a limited set of shapes; they cannot be recycled
and face detrimental end-of-life treatments such as incineration.[3]The recent renaissance in thermoset chemistry
has challenged this
dogma by underpinning a molecular mechanism of bond exchange, leading
to a characteristic elastic–plastic transition enabled by dynamic
crosslinking. Dynamic covalent chemistry has been applied to fundamentally
alter the viscoelastic behavior of thermosets.[7−9] When the covalent
bond exchange is triggered by external stimuli, the crosslinks rearrange
among themselves, facilitating plastic flow under stress (which is
a very different process from the viscous flow of a melt). In the
absence of a trigger, the dynamic network behaves as a traditional
thermoset. Several bond exchange reactions have been explored to impart
dynamic nature to the polymer network, such as transesterification,[10] transamidation of vinylogous urethanes,[11] olefin metathesis,[12] disulfide metathesis,[13] dioxaborolane
metathesis,[14,15] thiol-disulfide exchange,[16] and transalkylation.[17] While the viscosity of thermoplastics is governed by monomer friction,
the rate of bond exchange in the dynamically crosslinked network dictates
the rate of its plastic flow at elevated temperatures. The Arrhenius
thermally activated dependence of this rate enables reprocessing these
materials like vitreous silica; hence, these types of materials were
named vitrimers by Leibler and co-workers.[18] This bridging of the thermomechanical behavior
between thermoplastics and thermosets results in a range of smart
materials. Advanced polymer characteristics, such as strong welding,[19] shape-memory response,[20−22] and self-healing,[13,16,23] have been demonstrated with first-generation
thermoplastic vitrimers of different kinds. Given the intensive ongoing
research, it is expected for dynamic covalent chemistry to produce
a large library of smart materials enabling a multitude of current
applications in aerospace, automobile, biomedical, flexible electronics,
and other industrial fields.Here, we demonstrate a broadly
applicable strategy of dynamic crosslinking
in polymers containing solely carbon–carbon and carbon–hydrogen
bonds. Thermoplastic polyolefin (TPO) such as polypropylene (PP) and
polyethylene (PE) comprising the C–C backbone constitutes 75%
of polymers produced globally.[1,14] The absence of functional
groups in TPO makes them chemically inert, also making functionalization
difficult. To address this challenge, Leibler et al.[14] have formed TPO-based vitrimers crosslinked by dioxaborolane;
this approach was repeated in more recent work by Yang et al.[24] and Maaz et al.[25] However, the borolane bond exchange has very low activation energy,
and the resulting materials would creep at high temperatures. Exploring
other crosslinking options, He et al. used the imine bond exchange
with an activation energy of ca. 57 kJ/mol,[26] while Saed et al. used the thiol–thioester bond exchange
with an activation energy of ca. 110 kJ/mol.[27] In an attempt to form a vitrimer with an even higher thermal stability,
we have used the diepoxy crosslinking of functionalized TPO, looking
for a higher activation energy of transesterification bond exchange,
reported as ca.124 kJ/mol.[10]Here,
we continued to work with PP as a model system and functionalized
it by grafting the maleic anhydride (MA) to enable robust epoxy-ester
bonding. To help with transesterification, we selected a diepoxy oligomer
with an added hydroxyl group to demonstrate the production of a dynamic
network and remarkable changes in its mechanical response to a thermal
stimulus.The transformation of commodity thermoplastics into
smart polymer
materials can only be viable if the method is compatible with the
current settings of the polymer processing industry. In this context,
a solvent-free melt compounder has been employed. Over the years,
melt compounders have emerged in various forms that have been coupled
to other postprocessing steps, such as melt blowing and injection
molding. Additive manufacturing has added another dimension to material
design,[24] when functional polymeric materials
are extruded as a continuous filament from a melt compounder, and
then served to a three-dimensional (3D) printer in the fused filament
fabrication (FFF) mode to produce digitally encoded structure on demand.[28,29] Here, to demonstrate this process, the vitrimer derived from commodity
plastics was manufactured into complex objects with high-dimensional
precession. After that, we verified whether the material properties
were preserved after the FFF 3D-printing process. This workflow will
have an impact on producing technically innovative and economically
competitive materials from a generic commodity plastic feedstock,
a key milestone toward the reduction of GHG emissions of plastics
and the increase of their multiple uses. Thermoplastics can also be
3D-printed, but vitrimers have a strong welding capacity to allow
the subsequent assembly of 3D-printed parts, a property not available
to thermoplastics. Being covalently crosslinked, semicrystalline plastic
vitrimers will also possess a very strong shape-memory response, which
we particularly explore in this work.
Experimental
Section
Materials
Polypropylene (PP) with a melt flow index
of 34 g/10 min was procured from INEOS Olefins & Polymers, USA.
Maleic anhydride (MA), dicumyl peroxide (DCP), poly(bisphenol A-co-epichlorohydrin) glycidyl end-capped (PBAEG) with a Mn of ≈1075, zinc acetylacetonate hydrate
(Zn(acac)2), and xylene solvent were supplied by Sigma
Aldrich (Merck).
Reactive Extrusion
A dynamically
crosslinked polyolefin
network was synthesized through reactive extrusion on a laboratory-scale
twin-screw extruder (HAAKE MiniLab 3, ThermoFisher) equipped with
a recirculation channel. The whole process was carried out at 180
°C, with a screw speed of 100 rpm under N2 flow. First,
the required amount (4–5 g) of stock thermoplastic, MA (5 wt
%), and the DCP (0.1 wt %) initiator were fed with the aid of a pneumatic
press. After 10 min of circulation, we verified the saturation of
MA grafting, and the difunctional epoxy crosslinking PBAEG with the
Zn(acac)2 (2.0 wt %) catalyst[30] was added into the extruder. After another 10 min, i.e., with a
total residence time of 20–22 min, the crosslinked network
was extruded. The resulting vitrimer was postprocessed with a laboratory
injection molding (MiniJet, ThermoFisher) at 210 °C to obtain
a specimen with the required dimensions. The uniform FFF filament
with a diameter of ca. 1.75 mm was prepared by directly extruding
the vitrimer through a custom-made nozzle with a diameter of 2 mm.
The scheme of the reactions is given in Figure .
Figure 1
Synthesis of a dynamically crosslinked PP network.
(a) Two-step
functionalization of PP to introduce dynamic crosslinking: in the
first step, anhydride functional groups are grafted onto the PP backbone
through a free-radical reaction. Zn(acac)2-catalyzed epoxy–anhydride
curing is performed in the second step. (b) Thermally activated bond
exchange between ester and alcohol functional groups (transesterification)
in the dynamic network.
Synthesis of a dynamically crosslinked PP network.
(a) Two-step
functionalization of PP to introduce dynamic crosslinking: in the
first step, anhydride functional groups are grafted onto the PP backbone
through a free-radical reaction. Zn(acac)2-catalyzed epoxy–anhydride
curing is performed in the second step. (b) Thermally activated bond
exchange between ester and alcohol functional groups (transesterification)
in the dynamic network.
Gel Fraction
Samples
of crosslinked vitrimers (weight
= W) were immersed in
xylene at 120 °C for 24 h, with a frequently changing solvent.
The residual solid was dried at 120 °C in a vacuum oven (typically
for 6 h) until a constant weight (W)
was achieved. Gel fraction (%) is measured as (W/W) × 100.
Melt Flow Index
An essential rheological
characteristic
of plastics is their melt flow index (MFI), which determines the regime
and parameters of the processing flow. The ASTM D1238 protocol describes
the MFI measurement, which we have followed in this work. The PP and
its derivatives fall into a category that is tested at 230 °C
under a driving pressure of ΔP = 0.3 MPa (achieved
by supplying a 2.16 kg load across the 9.5 mm cylinder bore). The
plastic flow is measured through a standard die of d = 2 mm diameter and L = 8 mm length, and the resulting
MFI is measured in units of grams per 10 min. Assuming Poiseuille
flow, the volumetric flow rate Q is given by the expressionwhere η is the flow viscosity.
Therefore,
measuring the MFI in units of mass per unit time is equivalent to
measuring the viscosity η of the flowing polymer.
Fourier Transform
Infrared (FT-IR)
MA grafting onto
PP was confirmed by FT-IR. A compression-molded specimen was characterized
with a PerkinElmer Spectrum 100 FT-IR spectrometer in ATR mode, as
shown in Figure .
Figure 2
FT-IR
spectra of functionalized PP. The C=O absorbance band
is highlighted at 1785 cm–1. Extrusion performed
without a free radical initiator DCP does not yield covalent attachment
between MA and PP. Hence, free MA readily dissolves in acetone during
precipitation, and the corresponding C=O stretching band disappears.
While reactive extrusion is done with DCP, MA is covalently bonded
onto PP, and the C=O stretching band is retained after precipitation.
FT-IR
spectra of functionalized PP. The C=O absorbance band
is highlighted at 1785 cm–1. Extrusion performed
without a free radical initiator DCP does not yield covalent attachment
between MA and PP. Hence, free MA readily dissolves in acetone during
precipitation, and the corresponding C=O stretching band disappears.
While reactive extrusion is done with DCP, MA is covalently bonded
onto PP, and the C=O stretching band is retained after precipitation.
Titration
The percentage of MA grafting
was quantified
by titration. Typically, 0.5 g of MA-g-PP was dissolved in 50 mL of
xylene at 120 °C. A few drops of water were added to the mixture.
Water hydrolyzes maleic anhydride into a carboxylic acid group, which
was titrated with alcoholic KOH (0.1 N) using 1 wt % bromothymol blue
(in dimethylformamide) as an indicator. As the indicator was added
to the mixture (acidic solution), it appeared yellowish. The titration
endpoint was identified by the appearance of a faint blue color. The
amount of KOH (0.1 N) was noted, and the titration was performed in
triplicate. The percent grafting was estimated by the relation aswhere the normality, N =
0.1, and Mm = 100 is the molecular weight
of the grafted MA residue.
Differential Scanning Calorimetry (DSC)
Melting (Tm) and crystallization (Tc) transition of the polymers were observed
through a DSC4000
from PerkinElmer. Typically, 5–10 mg of dried polymers was
heated to 220 °C and maintained isothermally for 5 min to erase
the thermal history of the specimen. It was then cooled down to 50
°C. Tc was observed in this cooling
step. A subsequent reheating to 220 °C revealed the Tm (see Figure ). All of the heating and cooling cycles were performed at
10 °C/min under N2 flow. The percent crystallinity
(χc) was calculated as[31]where ΔHm is the heat of fusion
of the polymer calculated from the area under
the melting endotherm (2nd heating) and ΔHm0 is the standard
heat of fusion of theoretically calculated 100% crystalline polymer.
ΔHm0 for PP was 209 J/g.[32]
Figure 3
DSC
thermogram of vitrimers and its thermoplastic PP precursor.
Melting (Tm) and crystallization (Tc) transitions are separated by the usual hysteresis.
DSC
thermogram of vitrimers and its thermoplastic PP precursor.
Melting (Tm) and crystallization (Tc) transitions are separated by the usual hysteresis.
Tensile Testing (Stress–Strain)
Room temperature
stress–strain behavior was observed on a Tinius Olsen 1ST universal
testing machine mounted with a 2kN cell, with a fixed crosshead speed
of 5 mm/min. ASTM D638 injection mold was used to prepare the tensile
specimen (see Figure a).
Figure 4
Mechanical properties of the PP vitrimer. (a) ASTM D638 injection
mold of the neat PP thermoplastic and the PP-vit, and (b) stress–strain
behavior of the dynamic vitrimer network (two variants: freshly crosslinked
and after five cycles of recycling), and its thermoplastic PP precursor.
Tensile strength and extension were measured at room temperature with
a crosshead speed of 5 mm/min as in the test specification.
Mechanical properties of the PP vitrimer. (a) ASTM D638 injection
mold of the neat PP thermoplastic and the PP-vit, and (b) stress–strain
behavior of the dynamic vitrimer network (two variants: freshly crosslinked
and after five cycles of recycling), and its thermoplastic PP precursor.
Tensile strength and extension were measured at room temperature with
a crosshead speed of 5 mm/min as in the test specification.
Dynamic Mechanical Analysis (DMA)
Thermomechanical
properties were measured with a DMA 850 (TA Instruments). Prior to
the test, the samples were kept under vacuum for 5 h at 100 °C.
For the measurement of temperature-dependent dynamic modulus, a rectangular
specimen of dimension ≈15 mm × 5 mm × 0.9 was placed
between the clamps of DMA in tensile mode and equilibrated at 50 °C
before starting the experiment. The evolution of the dynamic modulus
was observed at a constant frequency of 1 Hz with 0.01% strain in
the temperature range of 50–240 °C with a heating rate
of 3 °C min–1. A much slower heating rate of
0.5 °C min–1 was also examined to observe the
equilibrium melting transition (see Figure a).
Figure 5
Dynamic mechanical analysis of PP-vit and PP.
(a) Evolution of
the linear dynamic modulus E′ of PP-vit and
their original PP thermoplastic with temperature. A slower heating
rate (0.5 °C min–1) shows the equilibrium melting
temperature, which matches the one obtained by DSC. (b) “Iso-stress”
creep of the dynamically crosslinked network. An instantaneous tensile
stress of 20 kPa is applied to a rectangular specimen at the equilibrated
temperature in the rubber regime. At higher temperatures, the bond
exchange rate is faster, leading to an enhanced creep rate and hence
the early break. At 180 °C, the material responds rubber-elastically,
showing very little creep for at least an hour.
Dynamic mechanical analysis of PP-vit and PP.
(a) Evolution of
the linear dynamic modulus E′ of PP-vit and
their original PP thermoplastic with temperature. A slower heating
rate (0.5 °C min–1) shows the equilibrium melting
temperature, which matches the one obtained by DSC. (b) “Iso-stress”
creep of the dynamically crosslinked network. An instantaneous tensile
stress of 20 kPa is applied to a rectangular specimen at the equilibrated
temperature in the rubber regime. At higher temperatures, the bond
exchange rate is faster, leading to an enhanced creep rate and hence
the early break. At 180 °C, the material responds rubber-elastically,
showing very little creep for at least an hour.
“Iso-stress” Creep Testing
The plastic
flow (creep) behavior of the dynamically crosslinked network was observed
beyond the melting transition. The rectangular specimen was placed
in the DMA clamps in tensile mode and equilibrated at the probe temperature
for 5 min. An instantaneous stress of 20 kPa was applied and was kept
constant throughout the experiment. The plastic creep of the PP vitrimer
was tested at three different temperatures (180, 190, and 200 °C).
The evolution of strain with time is represented for each network
(see Figure b).
Fused Filament Fabrication (FFF)
Filaments with a diameter
of ca. 1.75 mm were extruded from the twin-screw compounder after
the crosslinking step was completed. To maintain a uniform diameter,
the extrusion speed was reduced to 40 rpm, while the reactive compounding
was carried out at 100 rpm. The slow and steady extrusion of the filament
ensures a uniform diameter for the whole length of the filament. Fused
filament fabrication of the dynamically crosslinked networks was performed
in a commercial 3D printer (Hyrel 3D) with a print head MK-250, at
a printing head speed of 10 mm/s, a layered height of 0.1 mm, and
100% infill. FFF extrusion printing was performed with a nozzle with
a diameter of 0.55 mm at 240 °C. A polycarbonate (PC) or PP plate
with a thickness of 5 mm was employed as a print bed, with the bed
temperature maintained at room temperature (ca. 25 °C). A PP
plate as a print bed performed better than PC as higher adhesion is
observed for PP.
Shape Memory
Quantitative estimation
of shape fixing
and shape recovery from an intermediate shape to the initial reference
shape was conducted with a DMA 850 (TA instrument). Dynamically crosslinked
filament extruded from the melt compounder was 3D-printed (FFF) into
a rectangular sample and mounted between the clamps of DMA in tensile
mode. The instrument was equilibrated at 210 °C for 15 min before
starting the experiment (see Figure d). A thermomechanical cycle consisting of four steps
was applied to the sample. (1) Deformation: The rectangular strip
was deformed with the application of stress (20 kPa) at a constant
stress ramp of 20 kPa/min at 210 °C. (2) Cooling/fixing: With
the maintained stress of 20 kPa, the sample was cooled below Tc (≈70 °C) at a cooling rate of
10 °C/min to record the stretched shape. (3) Unloading: The stress
was reduced to 0 kPa at a rate of 20 kPa/min. This step fixes the
specimen to an intermediate shape. Shape fixity (Rf) is calculated at this step. (4) Recovery: The sample
was reheated to 210 °C at 10 °C/min and maintained isothermally
for 5 min to allow it to recover its natural shape prescribed by crosslinking,
before starting the next cycle. Recovery (Rr) of the sample from the intermediate shape to the initial reference
shape is calculated after this step. This thermomechanical cycle was
repeated several times to evaluate the quality and reproducibility
of the shape fixing and recovery. Physical demonstration of the shape-memory
effect was performed on a 3D-printed rectangular specimen of dimensions
28 mm × 5 mm × 1 mm. The strip was deformed into a twisted
shape at 210 °C and cooled (T ≈ 50 °C)
under the maintained stress to fix the intermediate shape. The twisted
specimen was unloaded. A stress-free reheating of the specimen leads
to the recovery of the initial shape (see the videos in the Supporting Information).
Figure 6
Fused filament fabrication
of a dynamically crosslinked network
and shape memory. (a) Filament of PP-vit with diameter D ≈ 1.75 mm derived from reactive extrusion; (b) various 3D-printed
objects; and (c) comparison of the storage modulus of injection-molded
and 3D-printed objects, the slightly lower ‘rubber plateau’,
and the deeper drop of the elastic–plastic transition are explained
by the heterogeneous nature of the printed object made of the thermally
extruded filaments. (d) Shape memory in a 3D-printed dynamically crosslinked
network: Thermomechanical cycles conducted in DMA for the estimation
of fixity and recovery. (1) Deformation: the sample was deformed with
a tensile stress of 20 kPa at 210 °C. (2) Cooling/fixing: With
the stress maintained at 20 kPa, the sample was then cooled below Tc (≈70 °C). (3) Unloading: the stress
was reduced to 0 kPa. This step fixes the specimen to a temporal shape.
Shape fixity (Rf) is calculated at this
step. (4) Recovery: the sample was reheated to 210 °C. (e) Evolution
of strain in the PP vitrimer with the application of thermomechanical
program demonstrating the fixity–recovery cycle.
Fused filament fabrication
of a dynamically crosslinked network
and shape memory. (a) Filament of PP-vit with diameter D ≈ 1.75 mm derived from reactive extrusion; (b) various 3D-printed
objects; and (c) comparison of the storage modulus of injection-molded
and 3D-printed objects, the slightly lower ‘rubber plateau’,
and the deeper drop of the elastic–plastic transition are explained
by the heterogeneous nature of the printed object made of the thermally
extruded filaments. (d) Shape memory in a 3D-printed dynamically crosslinked
network: Thermomechanical cycles conducted in DMA for the estimation
of fixity and recovery. (1) Deformation: the sample was deformed with
a tensile stress of 20 kPa at 210 °C. (2) Cooling/fixing: With
the stress maintained at 20 kPa, the sample was then cooled below Tc (≈70 °C). (3) Unloading: the stress
was reduced to 0 kPa. This step fixes the specimen to a temporal shape.
Shape fixity (Rf) is calculated at this
step. (4) Recovery: the sample was reheated to 210 °C. (e) Evolution
of strain in the PP vitrimer with the application of thermomechanical
program demonstrating the fixity–recovery cycle.
Results and Discussion
Reactive Extrusion of a Dynamic Network
Polyolefins
made of solely carbon–carbon and carbon–hydrogen bonds
were chosen as a model system to introduce chemical functionality
for the dynamic network. Commercial PP with a moderate melt flow index
of 34 g/10 min was our base material. Functionalization through solution
chemistry was avoided as PP has very limited solubility in common
organic solvents. Moreover, solvent-free chemical functionalization
is highly desirable in an industrial setting.[33] Free radical coupling of maleic anhydride initiated by DCP was adopted
to introduce anhydride units in the polymer backbone, producing MA-g-PP.[14,34] A laboratory-scale polymer compounder
was employed for the reactive extrusion. Radical coupling was performed
under constant N2 flow to maintain an inert atmosphere,
minimizing radical loss. MA-g-PP was subsequently
crosslinked with a chemical moiety bearing bifunctional epoxy groups,
PBAEG and catalyst Zn(acac)2 (cf. Figure ). The efficiency of MA grafting onto PP
was confirmed by FT-IR analysis, as shown in Figure . DCP, a free-radical initiator, is needed
for MA grafting onto PP. This was proved by a comparison of reactive
extrusion of PP with and without the DCP initiator (in the latter
case, no MA grafting would occur). After the PP was extruded, it was
dissolved in hot xylene and then precipitated in acetone. The FT-IR
absorbance band at 1785 cm–1 is attributed to the
C=O symmetrical stretching. Extrusion of PP and MA without
a free radical initiator shows very little absorbance at 1785 cm–1 from MA, which disappears altogether after precipitation
in acetone, as the free MA readily dissolves in acetone and does not
precipitate. When reactive extrusion is done in the presence of DCP,
MA is covalently bonded onto PP; hence, even after precipitation in
acetone, the absorption band corresponding to the C=O bond
is retained. The titration method was adopted to quantitively assess
the grafting reaction, estimating the fraction of MA grafting to be
2.2 wt %.Epoxy–anhydride curing is believed to undergo
via anionic ring-opening copolymerization between epoxy and anhydride.[35,36] The permanent nature of crosslinking in the vitrimer (PP-vit) was
proved by the swelling (gel fraction) experiment. After immersing
in the “good” solvent xylene at a high temperature (120
°C), an insoluble fraction was recovered. Gel fraction was estimated
at ≈ 52%. In stark contrast, the thermoplastic precursor PP
was dissolved in hot xylene within 15 min of immersion. The extent
of crosslinking primarily depends on the degree of random grafting
of MA and the efficiency of anhydride–epoxy curing. In our
case, we achieved a gel fraction higher than that recently reported
in the literature on polyolefin-based vitrimers with different bond
exchange mechanisms.[14]The melting
and crystallization behavior of the crosslinked network
was probed through DSC. Crosslinking primarily occurs in the amorphous
segment of the semicrystalline polymer, and hence the overall DSC
thermogram would not significantly alter.[30] The heterogeneous microdomain of the crosslinked part serves as
a nucleating agent and increases the crystallization temperature (see Figure ). Crosslinking also
serves as a physical barrier to segmental mobility and chain packing,
reducing the overall crystallinity. The heat of fusion was calculated
from the area under the endothermic curve of the second heating scan
in the DSC profile. We found that the crystallinity fraction was reduced
by only 3% in the crosslinked network compared to the thermoplastic
precursor. Overall, the semicrystalline nature of the precursor thermoplastic
was well preserved upon crosslinking. Moreover, a room-temperature
stress–strain behavior (see Figure ) reveals the improvement of tensile strength.
The extruded material was ground and injection-molded to prepare samples
according to the ASTM D638 standard (see Figure a). Compared to the thermoplastic precursor,
a slight decrease in the elongation to break is normally observed
in vitrimers as the crosslinks act as a barrier in chain extension
(Figure b). This is
an insignificant matter since a ductility of over 100% is still observed.
The comparison of the precursor PP and its vitrimer, crosslinked at
quite a low density, indicates that they have approximately the same
linear (Young) modulus, E = 380 MPa, determined by
the same polycrystalline microstructure, a slightly higher yield stress
(no doubt due to added crosslinking) of 25–26 vs 22–23
MPa in the original PP and at about the same tensile strain of 16–18%.
The two tensile curves in Figure b represent the just-produced vitrimer and the vitrimer
that has been “recycled” five times (chopping into small
pieces, recompounding, and injection molding again). We see no degradation
of material properties, which is a positive factor promising true
multiuse of this plastic.
Thermomechanical Properties
Thermomechanical
properties
of the vitrimer and the thermoplastic precursor were investigated
through dynamic mechanical analysis (DMA). Temperature-dependent linear
storage modulus (E′) is shown in Figure a. The DMA profile
of the samples resembles the typical thermoplastic behavior. At a
lower temperature (T < Tm), the storage modulus E′ is dictated
by the semicrystallinity. Since the vitrimer retains the overall semicrystallinity
of PP, the modulus is very close to the precursor thermoplastic, until
the melting point is reached (which depends on the rate of heating,
as indicated in the plot). Beyond the Tm, thermoplastic flows as a viscous liquid. It is also worth noting
that the quasi-equilibrium melting temperature obtained at 0.5o/min is more accurately captured at a lower heating rate in
DMA. In stark contrast, the corresponding dynamically crosslinked
network has a nonvanishing E′ beyond the Tm, with a signature “rubber plateau”,
the hallmark of an elastomeric network. PP-vit showed a rubber modulus
of ≈500 kPa, and it fairly remained constant till 220 °C.
An important feature of the “rubber plateau” in vitrimers
shows as a step drop: at a higher temperature for a higher heating
rate. Although one cannot see the true elastic–plastic transition
in a dynamic oscillation test (even at a relatively low frequency
of 1 Hz), the onset of rapid bond exchange above the “vitrification
temperature” is reflected in this step drop in the dynamic
modulus in Figure a.Unlike traditional thermosets, the key characteristic of
vitrimers is their ability to plastically flow when heated. The rate
of bond exchange reaction underpinning the plastic flow increases
with temperature. This is demonstrated by the “iso-stress”
creep experiment in DMA presented in Figure b. The sample was equilibrated at a specific
chosen temperature, where the bond exchange was sufficiently activated,
and an instantaneous stress was applied. This results in an initial
elastic response, determined by the rubber modulus, after which a
plastic flow (creep) sets in until the sample finally breaks. At higher
temperatures, the measured rate of plastic flow is higher, and the
enhancement is rendered by a higher rate of bond reshuffling. Despite
being permanently crosslinked, the ability of vitrimers to plastically
flow under stress opens the possibility of topological reconfiguration
through compression molding, injection molding, and additive manufacturing.
The activation energy of transesterification bond exchange[10] was found to be higher than most other known
bond exchanges in vitrimers,[14,37] which makes our dynamically
crosslinked network a good choice for applications where creep at
the service temperature and beyond is not desired.[10] Vitrimers with lower activation energy undergo significant
creep in the vicinity and beyond the melting transitions, diminishing
their practical relevance.The melt flow index (MFI) is an essential
parameter to determine
the processing conditions of plastics. Clearly, our vitrimers are
processable, as they are extruded and injection-molded. We measured
the MFI of our vitrimers using the ASTM D1238 process and the standard
PP parameters. This gave an MFI of 8–10 g/10 min (compared
to MFI = 34 g/10 min of the original PP), and recalculating the effective
viscosity at 230 °C, we obtain η = 3·10–9 Pa·s.
Fused Filament Fabrication of a Dynamic Network
Engineering
applications can be enormously expanded if the fabrication of the
smart materials is digitally encoded. With this aim, we wanted to
explore the fused filament fabrication (FFF method of 3D printing)
with the extruded filament of the dynamically crosslinked polymer
(see Figure a). The
bond exchange reaction above the “vitrification temperature”
enables extrusion via the plastic flow and the subsequent 3D printing
despite the material being permanently crosslinked. As shown in Figure b, objects with various
shapes were printed in a commercial 3D printer (see Supporting Information movie S1). The evidence of the network integrity
after 3D printing is further demonstrated by comparing with DMA profiles
of the as-extruded specimen with the DMA trace of an original injection-molded
specimen. Figure c
shows that the 3D-printed specimen has a slightly lower rubber modulus
and a deeper drop at the elastic–plastic transition, but fundamentally
the material properties remain the same (especially in the solid plastic
state where their main use is expected). In the earlier section, we
have shown that a dynamically crosslinked network behaves as a classical
SMP, as long as the material is not heated above the “vitrification
temperature” under load (in which case the plastic creep would
occur).The enhanced elastic nature of a crosslinked network
brings exciting macroscopic properties in response to external stimuli.[38] We examined the shape-memory behavior of 3D-printed
objects. Shape-memory polymers (SMPs) are a class of solid polymers
capable of mechanical programming by a thermal stimulus.[39−41] Broadly, SMPs can “remember” one or more reference
shapes, determined by the network formation topology, but can be reconfigured
to one or more temporary shapes, with the initial reference shape
still recoverable. Depending upon the chemical nature of the polymer
network, the stimulus for recovery could be heat and light. In the
present case, the bond exchange reaction is thermally triggered. We
found that at load-free reheating, the 3D-printed specimen rapidly
responds to the thermal stimulus and returns to the reference shape
(see Supporting Information movie S2).
This further validates the network integrity, and mechanical responsiveness
to thermal stimulus is well preserved after fused filament fabrication.
The shape-memory response can be quantitatively investigated through
a repeated thermomechanical cycle (see Figure d). When SMPs are derived from semicrystalline
polymers, as is the case with the PP vitrimer, the material is deformed
in the rubbery state above the melting temperature. Subsequently,
a programmed shape is fixed by cooling below the crystallization temperature,
which immobilizes the polymer chains by arresting the segmental motion.
Latent strain energy is stored in this deformed state. The recovery
is triggered through a “load-free” (with zero applied
stress) heating process by bringing the material back into the rubbery
state when the stored strain energy is released and the sample returns
to the reference shape. The underlying driving force of the recovery
is the transition between the network with restricted chain mobility
to the state with higher conformational entropy in the rubber elastic
regime. The most important aspect of SMPs in a practical scenario
and their technological competence is quantified by measuring the
quality of shape fixing (Rf, fixity) and
the extent of recovery (R, recovery),
which can be assessed through the DMA thermomechanical cycle, as shown
in Figure d. The extent
of shape fixing is calculated as[41]where εm is the strain achieved
after deforming in the second step and εu is the
strain after unloading. The capacity to “remember” the
original shape is determined by the extent of recovery. Shape recovery
from the programmed shape is obtained through load-free heating. After
equilibrating at a high temperature in the rubbery regime, the shape
recovery is estimated as[41]where ε is the strain achieved after the recovery (4th) step and εu and εm are the same as earlier. From the
data plotted in Figure e, these parameters are estimated as Rf = 92% and Rr = 90%. This high quality
of shape fixing and recovery is making the vitrimer network a good
choice for modern technology development with interactive interfaces
exploiting the stimuli-responsive nature of SMP.
Conclusions
Unprecedented usage of nonrenewable petrochemical in making plastics
leaves a massive carbon footprint. To curb this rising anthropogenic
GHG emission, it is crucial to consolidate an internal mechanism to
recover and upcycle high-value materials from commodity plastics after
their service life, thereby minimizing the carbon-intensive process
of virgin polymer production. We have demonstrated that dynamic covalent
chemistry enables thermoplastic materials to turn into high-performance
thermosets, retaining mechanical integrity, chemical insolubility,
and shape-memory characteristics at the service temperature, yet continually
reprocessable using conventional injection molding or 3D printing
above the “vitrification temperature.” Although permanently
crosslinked, vitrimers undergo creep under stress when the bond exchange
is sufficiently activated, giving the underpinning plastic flow. Above
the melting transition, a classical rubber plateau is identified,
a hallmark of elastomeric materials. Fused filament fabrication of
these materials was achieved with excellent dimensional accuracy.
The 3D-printed specimen not only shows mechanical integrity but also
a high level of responsiveness to a thermal stimulus. The thermomechanical
cycle employed in dynamic mechanical analysis reveals that shape fixation
and shape recovery from the programmed state is well over 90%. Moreover,
orthogonality of the bond exchange reaction with a variety of additives
and unidentified contaminants makes the near-pristine inputs unnecessary,
allowing as-received recycled plastic to be converted to vitrimers.
Thus, our work lays a foundation to reclaim megatons of postconsumer
thermoplastics, converting them into technically and economically
valuable materials.
Authors: Matthew K McBride; Brady T Worrell; Tobin Brown; Lewis M Cox; Nancy Sowan; Chen Wang; Maciej Podgorski; Alina M Martinez; Christopher N Bowman Journal: Annu Rev Chem Biomol Eng Date: 2019-03-18 Impact factor: 11.059
Authors: Shyeni Paul; Yunqing Zhu; Charles Romain; Rachel Brooks; Prabhjot K Saini; Charlotte K Williams Journal: Chem Commun (Camb) Date: 2015-04-18 Impact factor: 6.222
Authors: Max Röttger; Trystan Domenech; Rob van der Weegen; Antoine Breuillac; Renaud Nicolaÿ; Ludwik Leibler Journal: Science Date: 2017-04-07 Impact factor: 47.728
Authors: Ina Vollmer; Michael J F Jenks; Mark C P Roelands; Robin J White; Toon van Harmelen; Paul de Wild; Gerard P van der Laan; Florian Meirer; Jos T F Keurentjes; Bert M Weckhuysen Journal: Angew Chem Int Ed Engl Date: 2020-06-25 Impact factor: 15.336