The present disclosure relates to damage detection systems of mechanophores. More particularly, the present disclosure relates to real-time damage detection systems including mechanophore-embedded fiber reinforced composites.
Fluorescent microscopy is currently used to observe fluorescence emitted from mechanophore embedded polymers after damage initiates in the polymers. However, this is not an in-situ damage detection method. The development of a new system is required to detect damage initiation and progression during mechanical loading tests.
The present disclosure relates to a real-time damage detection system using mechanophores. In one embodiment, fiber reinforced composites with mechanophore embedded polymers are employed. The system may comprise, for example, an ultra-violet (UV) camera, UV lamp, a band-pass filter, and load-frame. Certain embodiments of the system are capable of capturing damage initiation and tracking damage progression in composites subjected to mechanical loading. Activated mechanophores embedded in a composite indicate the presence of damage, in real-time, in the form of UV fluorescence that can be captured using the UV camera. The mechanophore embedded composite samples are subjected to mechanical loading using a load-frame. When damage is initiated, and the activated mechanophores are exposed to UV light, the UV excited fluorescence is captured using a UV camera.
In some embodiments, a method for detecting mechanophore damage in a composite material comprises embedding mechanophores in the composite material. The mechanophores are embedded in a matrix of the composite material. A mechanical load is applied to the mechanophore embedded composite material. A damage precursor signal is detected. The damage precursor signal is generated as a result of the application of the mechanical load to the mechanophore embedded composite material. The damage precursor signal is detected before yield of the mechanophore embedded composite material. In some embodiments, detecting the damage precursor signal may include (1) illuminating the mechanophore embedded composite material with UV light to excite the mechanophores that are embedded in the composite material, (2) capturing fluorescent emissions of the UV light excited mechanophores embedded in the composite material with a UV camera, and (3) filtering light received at the UV camera based on an emission wavelength of the mechanophores. In some embodiments, detecting the damage precursor signal may include detecting spectra from an evanescent wave distorted by the mechanophore embedded composite material using an attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) system.
In some embodiments, a system for detecting mechanophore damage in a composite material comprises a mechanophore embedded composite material where the mechanophores are embedded in a matrix of the composite material. The system also includes a load frame and a light detecting device. The load frame is configured to apply a mechanical load to the mechanophore embedded composite material. The light detecting device is configured to detect a damage precursor signal that is generated as a result of the application of the mechanical load to the mechanophore embedded composite material. The damage precursor signal is detected before yield of the mechanophore embedded composite material. In some embodiments, the light detecting device may be an ultra violet (UV) camera and a filter that detects the damage precursor signal by (1) illuminating the mechanophore embedded composite material with UV light to excite the mechanophores that are embedded in the composite material, and (2) capture fluorescent emissions of the UV light excited mechanophores with the UV camera, and (3) filter light received at the UV camera based on an emission wavelength of the mechanophores. In some embodiments, the light detecting device is an attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) system that detects the damage precursor signal by detecting spectra from an evanescent wave distorted by the mechanophore embedded composite material using the ATR-FTIR system.
In some embodiments, a system for detecting damage in real-time in a mechanophore comprises an ultra-violet illumination source, an ultra-violet camera, and a band-pass filter. The ultra-violet illumination source is directed to a mechanophore sample, where the ultra-violet illumination activates the mechanophore sample. The ultra-violet camera is also directed to the mechanophore sample. The band-pass filter is fitted on the ultra-violet camera and is configured to pass fluorescence emitted from the activated mechanophore sample to the ultra-violet camera.
In some embodiments, a system is provided for detecting damage in real-time in a mechanophore. The system includes an ultra-violet illumination source directed to a mechanophore sample, an ultra-violet camera directed to the mechanophore sample, and a band-pass filter fitted on the ultra-violet camera. The band-pass filter is configured to pass fluorescence emitted from the activated mechanophore sample to the ultra-violet camera.
In some embodiments, a method is provided for detecting mechanophore damage in polymer reinforced composite material. The method includes embedding mechanophores in a thermoset polymer matrix to form fiber reinforced composite material. With the application of mechanical load, a mechanophore damage signal is generated before material yield (or failure). As load increases and damage in the composite samples initiate and progress, the intensity of the signal increases. The activation of the mechanophores before yield shows that damage precursor in polymer matrix composites under mechanical loading is captured.
In some embodiments, an experimental system for detecting damage in fiber reinforced composites is provided. The matrix phase of the fiber reinforced composite samples contains self-sensing mechanophores and epoxy-based thermoset polymer. The experimental system includes a mechanical load-frame, which is configured to apply mechanical loads to the composites samples. The UV camera is configured to detect a mechanophore damage signal that is generated as a result of the application of the mechanical load to the composite samples. Damage precursor in the mechanophore embedded fiber reinforced polymer composite samples is detected before material yield.
Other aspects of the disclosure will become apparent by consideration of the detailed description and accompanying drawings.
Before any embodiments of the disclosure are explained in detail, it is to be understood that the disclosure is not limited in its application to the details of construction and the arrangement of components outlined in the following description or illustrated in the following drawings. The disclosure is capable of other embodiments and of being practiced or of being carried out in various ways.
Mechanophores are force-responsive moieties which undergo a chemical reaction or response to an externally applied tensile or compressive force. They have been incorporated in thermoplastics, crosslinked polymers, and block copolymers and have been used to study mechanical responsiveness under stress at the molecular level by detecting chain breakage within these polymer networks. Mechanophores can be incorporated into the backbone of linear polymers to provide signal detection in the presence of mechanical loads. Additional information regarding mechanophores and mechanophore embedded composites can be found in U.S. Provisional Patent Application No. 62/436,950, which was filed on Dec. 20, 2016, and in International Patent Application No. PCT/US2017/067746, which was filed on Dec. 20, 2017, both of which are incorporated herein by reference in their entireties.
For example, a previous study examined the process in which colorless spiropyran underwent a ring-opening reaction when a tensile load was applied to form a red-colored merocyanine. However, this color-change, as a form of a signal for damage detection, was not generated until after significant and permanent mechanical damage occurred. Focusing more on the ability to detect damage or potential failure as early as possible instead of detection after damage occurs in a material, would allow for significant progress in fields such as material and mechanical characterization.
Two moieties, cinnamoyl and anthracene, can dimerize using ultraviolet light to form a force-sensitive and highly strained bond that can be severed by the external application of a mechanical load. When severed, these bonds become fluorescent with an emission at about 500 nm to about 550 nm and at about 365 nm to about 415 nm. Also, the fluorescent response intensity within the region of about 6% to about 15% strain was discovered to be linear with respect to the applied stress on the sample.
Cinnamoyl groups can be incorporated into an epoxy thermoset, for example, by mixing 1, 1, 1-tris(cinnamoyloxymethyl) ethane (TCE). Also, the anthracene moiety can be applied using dimerized anthracene carboxylic acid (Di-AC) as a mechanophore particle distributed throughout an epoxy matrix. Poly(vinyl cinnamate) (PVCi) is a vinyl polymer (each monomeric unit containing a cinnamoyl moiety) that can be UV irradiated to create a crosslinked matrix. PVCi can be mixed with standard epoxy and then irradiated to readily form force-sensitive cyclobutane bonds as a cross-linker for PVCi.
However, there are several limitations with using fluorescence as a detection method. First, samples must be transparent to properly examine for fluorescence. Composites utilizing carbon-based reinforcement methods such as carbon nanotubes (CNTs), carbon nanofibers (CNFs), and carbon black are opaque and therefore are incapable of generating a sufficient signal using current fluorescent detection methods. In addition, the fluorescent signal generated from opaque samples shows only the mechanophore activation at the surface of the material. This signal may not be strong enough to accurately characterize mechanophore response using fluorescence microscopy.
Herein is disclosed, among other things, that signals of samples incorporated with mechanophores can be detected using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). ATR-FTIR is a type of spectroscopy where infrared light is introduced into a prism at an angle exceeding the critical angle for internal reflection. This produces an evanescent wave at the reflecting surface (a surface which is transparent to infrared, such as thallium bromide) on which the sample is supported. The distortion of the evanescent wave by the sample is measured, producing a spectrum which is then subject to a Fourier transform. ATR-FTIR is advantageous over standard transmittance FTIR because it allows for surface characterization of materials and is capable of measuring samples with higher density and little to no transparency. The signal generated from molecular scission of strained bonds can be compared to a reference peak of the signal from unstrained bonds. The difference in the signals can be utilized to normalize the data, and characterize and detect damage of the dimerized cinnamoyl and anthracene moiety samples without the need for fluorescence. In addition, ATR-FTIR may also improve current detection capabilities by approximately 2% strain. Fluorescent imaging techniques detect damage at approximately 6% strain while ATR-FTIR methods detect damage at approximately 4% strain for cinnamoyl based mechanophores.
With employment of ATR-FTIR, mechanophore signal detection capabilities allow for increased sensitivity and detection at earlier or lower levels of strains. In certain embodiments, the cyclobutane bonds are embedded within the epoxy matrix to generate a signal before the yield strain of the bulk epoxy composite. This form of precursor detection occurs within the elastic region of the composite and before the material reaches its yield point. Therefore, it is important to note that the damage does not occur to the bulk matrix, but rather to the cyclobutane bonds present within the crosslinked PVCi cinnamoyl groups.
Also disclosed herein, among other things, is an experimental framework for in-situ damage detection in fiber reinforced composites, using stress-sensitive mechanophores.
Also disclosed herein, among other things, is a real-time damage detection system for fiber reinforced composites using Di-AC based mechanophores. The system may comprise, for example, a UV camera, UV lamp, band-pass filter, and load-frame. Certain embodiments of the system are capable of capturing damage initiation, and tracking damage progression in composite samples embedded with mechanophores when the samples are subject to mechanical loading. The initiation of damage occurs when there is damage in a localized area of the composite sample, or when a constituent(s) of the sample is damaged while other constituents remain intact. For example, damage may initiate when mechanophores embedded in a sample are damaged. This initiation of damage occurs prior to yield of the composite sample (such as, overall damage occurring to the sample as a whole). As damage is initiated, the activated mechanophores in the sample emit fluorescent light when exposed to UV light, and the UV excited fluorescence is captured using a UV camera.
Using an in-situ damage detection system, local damage initiation is detected with a high degree of accuracy. The disclosed system can be converted into a handheld device by integrating the UV lamp and UV camera. It allows for initial damage detection in fiber reinforced composites while mechanical loads are applied to the composite samples. It is a real time in situ damage inspection system.
Previous damage detection methods via mechanophore fluorescence utilize a fluorescent microscope to detect damage after it has already been applied. Samples were damaged to certain strains and examined under a fluorescent microscope to observe how this fluorescent response increases. This method is limited with respect to the number of data points. Only general trends can be observed. However, the disclosed system can, for example, observe damage detection in-situ and observe the fluorescent response simultaneously. Such technology has never been combined with force responsive mechanophore embedded fiber reinforced composites.
The disclosed systems and methods may be useful to detect damage in a range of applications (e.g., Department of Defense (DoD), civil infrastructure, and automotive) where composites are used. The disclosed systems and methods may also directly impact the advancement of structural health monitoring and non-destructive evaluation (NDE) systems.
The use of Di-AC in a PRC has at least three advantages over other mechanophores, including minimal impact on host material properties; a linear relationship between applied load and fluorescence; and damage precursor detection. The excitation wavelength is about 340 nm-380 nm. The emission wavelength is about 435 nm-485 nm. Although Di-AC is preferred in some embodiments, other suitable mechanophores are contemplated herein. For example, cyclobutane-based mechanophores which are synthesized using TCE or PVCi are other suitable mechanophores. TCE and PVCi are also suitable mechanophores and are described above.
Various device designs may be utilized to detect damage initiation in composite samples. In certain embodiments, a fluorescent microscope is combined with a load frame for accurate analysis of samples during static and fatigue tests. Data such as stress, strain, and intensity may be collected and displayed in real-time, which allows for increased accuracy, real-time damage detection, and modularity for future applications with different mechanophores.
To detect in-situ damage, samples may be measured in a dark room to minimize ambient light interference. In some embodiments, the UV camera 430 may include a Thorlabs DCU223M UV camera with filters and zoom lens, although other camera setups are possible. In some embodiments, a UV source 420 may include a Thorlabs M365LP1 UV source (365 nm) with driver and power supply. Also, in some embodiments, a load frame 430 may include a Test Resources 800L that can be used for static or fatigue tests.
In one embodiment, a UV lamp (365 nm) from Thorlab was used to match the excitation wavelength of a mechanophore embedded composite (about 340 nm to about 380 nm). The emission wavelength of the mechanophore embedded composite was about 435 nm to about 485 nm. To capture the correct wavelengths of only emission by mechanophores without interference, a bandpass filter of 450 nm±40 was used. Since the camera from Thorlabs can capture a wide range of wavelengths from about 300 nm to about 600 nm, the band pass filter can selectively capture UV emissions from the embedded mechanophores. For the load frame, a TestResourse 800L was used, which is a general load frame that can perform static and fatigue loading tests. The load-frame was used to subject the mechanophore embedded composite to mechanical loading. When damage initiates, the material fluoresces under UV light exposure and is captured using the UV camera.
In another embodiment, ATR-FTIR offers the ability to measure a material's chemical make-up at the surface and examine the activation of a cyclobutane bond within a cinnamoyl group of a mechanophore, regardless of sample transparency. In certain embodiments, samples include 10 wt % PVCi as the active mechanophore in an epoxy thermoset, as well as samples with an additional 0.5% by weight of carbon nanotubes (CNT) to create a completely opaque composite. Both samples were capable of sensing at 4% strain, which is a marked improvement over the prior art (e.g., sensing at 6% strain using UV-fluorescent imaging). Among other things, the sensing system disclosed herein provides a simpler, faster, and more sensitive method for, for example, detecting cyclobutane mechanophore damage over current fluorescence detection methods. An ATR-FTIR system for measuring the chemical make-up at the surface and examining activation of the bond within a mechanophore is shown in
It should be noted that the following described embodiments are only presented by way of example and should not be construed as limiting the disclosed concept to any particular physical configuration.
Mechanophore embedded epoxy matrix samples were prepared by first dissolving 0.6 g of poly(vinyl cinnamate) (average Mn 40 000, Sigma Aldrich) and 4.25 g of epoxy resin (diglycidyl ether of bisphenol F, military grade, FS-A23) with 5 ml of dichloromethane (99.8%, Sigma Aldrich). For completely black samples, multi-walled carbon nanotubes (>90%, industrial grade, OD: 10-30 nm, US Research Nanomaterials, Inc.) were added during this step with a loading of 0.5 wt %. The solution was then sonicated at 21% amplitude for 20 s to ensure that the sample was completely dissolved and adequately dispersed. The dichloromethane was then removed through rotary evaporation at 40° C. for 30 min. Next, 1.15 g of hardener (diethylenetriamine, military grade, FS-B412) was added after rotary evaporation to make 6 g total of the sample. The sample was then impeller mixed for 5-10 min at 200 rpm to ensure that the hardener was evenly mixed with the resin and poly(vinyl cinnamate) (PVCi). Immediately after mixing, the sample was poured into 8×3×4 mm rectangular molds, irradiated for 4 h with a 302 nm UV lamp, and left overnight to cure at room temperature.
The samples were compressed to varying levels of strain in order to activate the embedded mechanophore in the epoxy network and to test at what strain level the mechanophore activation would be seen on the FTIR. Molecular scission of the cyclobutane formed after UV irradiation could be monitored. After applying mechanical loads, the intensity of the wavenumber associated with the conjugated double bond in PVCi was hypothesized to increase. By examining the relative intensity of this bond with respect to applied bulk strain, it was determined that a signal should be detectable. Assuming PVCi is evenly dispersed throughout the epoxy and is at high enough loading, there should be enough cyclobutane bonds at the surface of the material to generate ample signal. A Test Resources 800L Compression Test System was used to test samples at 2%, 4%, 6%, and 15% strain at a strain rate of 1 mm min−1. ATR-FTIR spectra were taken with a Bruker IFS 66V/S FTIR, wide-band Mercury Cadmium Telluride (MCT) detector, KBr mid-IR beamsplitter, and a Pike diamond-ATR module from 4000 cm−1 to 400 cm−1. See
Development and validation of a new ATR-FTIR detection method were necessary before evaluating a full range of mechanophore loading and varied strain experiments. Due to the nature of FTIR spectra, weight loading of poly(vinyl cinnamate) (PVCi) embedded into the epoxy network as well as the morphology of the sample surface both are important factors in determining the viability of early damage detection. When measuring spectra of a solid sample, it was important that the sample surface maintain as much contact with the ATR diamond as possible to ensure a strong signal. However, because of the nature of the sample surface, especially at high strains, signal strength varied due to surface deformation and crack formation. To counteract this, a neutral reference peak was chosen at about 1575 cm−1, corresponding to an aromatic carbon-carbon double bond, to normalize each spectrum and provide a direct comparison. For preliminary data, a small batch of epoxy with 10 wt % PVCi loading was made to ensure a proper signal strength in the FTIR. Spectra were taken with no UV irradiation at 0% strain, 4 h UV irradiation at 0% strain, and 4 h UV irradiation at 15% strain.
Much like in the preliminary experiment, epoxy samples containing 10 wt % PVCi were prepared without any loading of CNTs. Because these samples did not contain CNTs, they were translucent and therefore comparable to previous work using transparent samples with fluorescent imaging. Before the samples were compressed, a spectrum was taken of each sample designated for each compression in order to provide a baseline and develop a distribution of the natural deviation between samples. For each sample, once compressed to its designated strain, a spectrum was then immediately taken and compared to the corresponding unstrained spectra. Two spectra were taken per sample, with two samples per strain. Between two batches, a total of eight replicates per data point were taken to provide a definitive distribution.
However, after 4% strain, all higher strains were not statistically different from each other. This may suggest that the mechanophore activation for this sample does not increase with an increasing strain like previous art suggests. Instead, it suggests that a more straightforward, binary activation occurs for the embedded network at a certain load. Due to the small detection surface that the FTIR examines, it can be hypothesized that once enough force is applied to the examined surface, the mechanophores in this region are fully activated and displays a binary response. Previous work utilized fluorescence imaging, which examines the entire sample surface. Since the load applied at an individual point in the surface of the material varies, mechanophore activation will vary slightly across the entire surface. As the net force applied across the material increases, this “average” activation increases linearly with respect to the overall force.
Similar to the standard 10 wt % PVCi epoxy samples disclosed previously, additional samples were made with 0.5 wt % CNT. CNTs are sometimes used to improve mechanical properties by reinforcing the thermoset. However, for this experiment, they are used merely to create a completely opaque sample using a common structural additive. Since these samples cannot be measured using standard UV fluorescent imaging, ATR-FTIR spectra were employed to utilize the peak height at 1635 cm−1 in order to detect signal before the yield point of the sample. Similarly to the previous samples, two spectra were taken for each sample, with a total of two samples for each strain. Spectra were taken before and after strain for each sample.
A second scan of the initial unstrained sample was taken to observe any natural deviations in peak height. By comparing the compressed samples to their uncompressed counterparts, there is a clear statistical difference once again at 4% strain. These results reinforce the previous work with standard 10 wt % PVCi samples, a marked improvement over previous work with Di-AC and TCE.
In summary, the sensing of an opaque, black sample was successfully achieved using ATR-FTIR. Previous work with UV-fluorescence imaging was incapable of measuring a sample with either property. Moreover, the previous particulate mechanophores were sensed at just before the yield point of the epoxy material at approximately 6% strain. Sensing before 6% strain has not previously been disclosed using cinnamate groups as active mechanophores within an epoxy thermoset.
Methods and systems are provided for real-time damage detection using mechanophores. Self-sensing mechanophore embedded fiber reinforced composites are employed. The detection system may include an ultra-violet (UV) camera, UV lamp, a band-pass filter, and load-frame. The system may capture damage initiation before material yield and track damage progression in composites subject to mechanical loading. Activated mechanophores embedded in the composite indicate the presence of damage in real-time in the form of UV fluorescence that can be captured using the UV camera. The load-frame is used to apply mechanical loads to mechanophore embedded composites. When damage is initiated, and the activated mechanophore is exposed to UV light, the UV excited fluorescence is captured using the UV camera. Mechanophore fluorescence spectra may also be detected using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR).
Some methods and materials are described below, although, methods and materials that are similar or equivalent to those described herein can be used in practice or testing of the present disclosure. All publications, patent applications, patents and other references mentioned herein are incorporated by reference in their entirety. The materials, methods, and examples disclosed herein are illustrative only and not intended to be limiting.
The present disclosure also contemplates other embodiments “comprising”, “consisting of”, and “consisting essentially of”, the embodiments or elements presented herein, whether explicitly set forth or not.
The modifier “about” used in connection with a quantity is inclusive of the stated value and has the meaning dictated by the context (for example, it includes at least the degree of error associated with the measurement of the particular quantity). The modifier “about” should also be considered as disclosing the range defined by the absolute values of the two endpoints. For example, the expression “from about 2 to about 4” also discloses the range “from 2 to 4”. The term “about” may refer to plus or minus 10% of the indicated number. For example, “about 10%” may indicate a range of 9% to 11%, and “about 1%” may mean from 0.9-1.1. Other meanings of “about” may be apparent from the context, such as rounding off, so, for example, “about 1” may also mean from 0.5 to 1.4.
For the recitation of numeric ranges herein, each intervening number there between with the same degree of precision is explicitly contemplated. For example, for the range of 6-9, the numbers 7 and 8 are contemplated in addition to 6 and 9, and for the range 6.0-7.0, the number 6.0, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, and 7.0 are explicitly contemplated.
Various features and advantages of the disclosure are set forth in the following claims.
This application claims the benefit of U.S. Provisional Patent Application No. 62/598,824, filed on Dec. 14, 2017, which is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
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20100206088 | Potisek et al. | Aug 2010 | A1 |
20130274412 | Hickenboth et al. | Oct 2013 | A1 |
20160009845 | Gordon | Jan 2016 | A1 |
20160097641 | Dai et al. | Apr 2016 | A1 |
20160168314 | Wu et al. | Jun 2016 | A1 |
20160332121 | Datta et al. | Nov 2016 | A1 |
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Number | Date | Country | |
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20190187047 A1 | Jun 2019 | US |
Number | Date | Country | |
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62598824 | Dec 2017 | US |