Rapid Determination of Cure Rate and Direct Identification of Spatial Variations in Cross Link Density

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Rapid Determination of Cure Rate and Direct Identification of Spatial Variations in Cross Link Density Khoren Sahagian¹, Kevin Kjoller¹, Louis Germinario², Roshan Shetty¹ ¹Anasys Instruments Inc., 121 Gray Ave. Suite 100, Santa Barbara CA 93101 USA ²LG Analytical, 2012 Buckingham Court, Kingsport TN 37660 ABSTRACT Transition temperature microscopy (TTM) is a novel local thermal analysis technique that maps spatial variations in thermal properties on length scales from millimeters to nanometers. Traditional bulk thermal analysis provides a sample-averaged result and cannot generally supply sufficient information about complex structures or heterogeneities within polymeric systems. There currently exists a nanoscale thermal analysis (nanota) technique in which a nanoscale thermal probe heats a localized region on the sample surface to measure its thermal properties, including thermal transition temperatures like crystalline melting points and glass transitions. TTM enables these nanota measurements to be carried out rapidly at a succession of points, thus creating automated high-resolution spatial maps of the thermal properties of a sample. In this study we also demonstrate how nanota can be used to characterize cross link density and to study cure rate in a time resolved manner. INTRODUCTION The measurement of cross link density often involves time consuming methods, such as gel permeation chromatography (GPC), and the potential use of hazardous solvents. In addition, the conventional technique provides little or no information regarding spatial property variations. Nano-thermal analysis (nanota) makes use of a micro-fabricated silicon probe with an integrated heating element. This probe can be used in place of a standard Atomic Force Microscope (AFM) probe to scan a sample and generate an image of the topography. The probe then has the novel utility of probing softening points at select locations by increasing the temperature of the probe until the surface softens due to the local temperature increasing above a transition temperature. This allows nanoscale measurements of the transition temperature on the surface of the sample. In addition, temperature ramps can be performed in an array across the sample surface to map the variation in transition temperature in a mode called Transition Temperature Microscopy (TTM). Figure 1 shows a TTM image of a fiber reinforced composite. The Figure 1: A 50x50um TTM on a fiber reinforced composite showing variations in cure by measuring differences in softening point. Higher cure [red], lower cure [green], no transition on fiber [blue]. red and green pixels are representative of the temperature at which the resin matrix softens. The blue pixels represent the absence of a transition temperature at measurements made on the network of fibers. Cross linking also plays an important role in polymers ranging from mechanical properties, shape memory, to absorbance characteristics. The degree of cross linking can be determined by assessing the penetration depth of a thermal probe in a thermomechanical experiment. NanoTA, an analogous localized method, can be used in a similar fashion to rapidly determine cross-link density at a multitude of points. This allows for a rapid means of simultaneously making measurements of localized cross link density while preserving spatial dependencies that may exist. Thermal methods such as differential scanning calorimetry (DSC), modulated temperature DSC (MDSC), thermogravi-metric analysis (TGA), thermomechanical analysis (TMA), and dynamic mechanical analysis (DMA) are well-established techniques for characterizing

polymers, thin films, and coatings. Because these methods only measure a sample averaged response, they lose specific information on localized defects, structural nonuniformities, and chemical heterogeneities. In addition thermal property data is limited to coatings, film surfaces, and interfaces that are greater than a few microns thick. This analytical limitation often affects innovation in the coatings industry where new metrologies are needed for quantifying the impact of micro- and nano- structured additives on performance and the impact of solvent effects in high-solids; Low-VOC coatings. Increased pressure to develop "green" or "sustainable" products provides increased impetus and urgency to develop tools to measure and quantify thermo-mechanical properties of films and coatings at increasingly smaller length-scales. EXPERIMENT TTM extends into an imaging or microscopy mode by making use of a nanoscale thermal probe to locally heat the surface of a sample while simultaneously monitoring for softening of the surface in contact with the probe. The measurement itself is analogous to a conventional Thermo-mechanical Analyzer (TMA). In TMA the thermal expansion of a sample is monitored with a sensor while the sample is heated in a furnace. One fundamental difference from bulk TMA is that in a nanota measurement the complete sample is not heated. Rather the probe sensor is simultaneously heated while monitoring the thermo-mechanical response of a single point on the sample. [1-6] TTM plots an array of nanota measurements to obtain an image or map of the transition temperatures across the region of interest. Similar to probes employed for atomic force microscopy (AFM), the thermal probe is made using micro fabrication techniques which allow for very small geometries and good repeatability in performance. [7] The apex of the probe which makes contact with the sample surface has an end radius of less than 30 nm. The probe then employs an embedded miniature heater to perform the transition temperature measurements. A Scanning Electron Micrograph in figure 2 illustrates the underside of the nanota cantilever which is around 200um in length. Because of its small size, the temperature of the probe can be changed quickly, allowing heating rates from 5 C/min to 10,000 C/sec. Fast scanning has the added benefit of measuring weak glass transitions and the suppression of kinetic events allowing for an accurate as received characterization of the materials. The locally generated heat disperses quickly into the surrounding medium making rapid cooling a possibility where isothermal recrystallization at rates near those of processing wish to be studied. The basic principle of TTM is outlined in Figure 3. At each point of interest on the sample, the probe is brought into contact with the sample surface and heated, while simultaneously monitoring the thermal expansion of Figure 2: A scanning electron micrograph depicting a 200 um long silicon thermal cantilever. The inset is a zoom of the tip which has an end radius of <30nm. Figure 3: TTM maps local variations in thermal transition. A heated probe locally measure the temperature at which surface softening occurs by linearly scanning temperature at each location. Arrays of measurements can be made to assemble a spatially resolved image of the sample. the sample under the probe. At a transition temperature, the surface softens, allowing the probe to penetrate slightly into the sample. An array of nanota measurements is automatically analyzed to determine the transition temperature at each point or pixel within the scanned region. Then a false color map is created where the pixels are shaded according to the measured transition temperatures. The resulting spatial map allows visualization of thermal gradients and can detect the presence of inhomogeneities in a wide range of samples. The TTM image can also be analyzed by plotting the transition temperature versus lateral position on the sample as well as selecting points from the image to generate a histogram of transition temperatures.

Figure 4a illustrates the impact of cross linking on the penetration depth of the thermal probe for 2 sample of different cross link density. As the heated probe pushes into the softening sample the contact area rapidly increases as a result of the inverted pyramidal geometry. When the loaded force of the thermal probe equals the buoyancy forces applied by the sample material the probe will cease or reduce its downward trend. This slope will continue until decomposition of the cross link network. A higher cross link density results in greater resistance to the forces applied by the probe and ultimately less penetration of the probe into the sample medium. An averaged set of penetration depths by nanota can be calibrated against a bulk measurement. The rapid heating rates of nanota makes high throughput sample characterization possible and the TTM enables the preservation and graphic visualization of property variations along a sample region. Figure 4b depicts a correlation between the degree of cross linking as determined by GPC to average penetration depths as determined by nanota. due to lesser cross link density. B) Linear correlation between nanota penetration depth and percent cross link density as determined by GPC. RESULTS & DISCUSSION In-situ, Time-Resolved Cure-Rate Measurements in Automotive Refinish Coatings Automotive refinish clearcoats are crosslinked coatings that are usually cured through a reaction between two or more components. The primary function of clearcoats is to protect themselves and the coatings under them against environmental influences and provide scratch, mar, and chip resistance, as well as erosion and solvent resistance, while still maintaining a high gloss and excellent appearance. [8] Due to the fact that the clearcoat is the first line of defense against environmental influences, understanding surface, near-surface chemical, and mechanical property development as a function of composition, cure time, and environmental exposure is fundamental to improving their performance. Furthermore, the demand for lower VOC systems in the automotive refinish industry means that new resins, solvents, and additives are being introduced. This, coupled with demands for attaining fast cure at ambient temperature to reduce the investment in drying equipment and the time of repair, points to the need for a thorough understanding of the dynamics of film formation. Figure 5 is a schematic of the different stages in the film formation process and is provided to show its complexity and time dependence. Figure 5: Film formation dynamics Figure 4: A) Comparison of nanota curves from 2 samples with different cross link density. The purple curve penetrates a greater depth than the red curve The coating initially goes through a liquid phase as it is deposited, to tack free, and then to the final fully cured state. This progression depends primarily on the solvent evaporation rates, speed of chemical reactions, rates of diffusion, and the Tg of the independent systems which comprise the film. Figure 6 demonstrates how nanota can be used to follow the cure kinetics taking place at the coating surface. Figure 6A displays the temperature ramps taken on an acrylic clearcoat at three different times after the coating was deposited. The softening temperature can be easily measured from these curves and, if plotted versus cure times (Figure 6B), provides critical information on cross-linking rates and reaction kinetics. The ability to measure chemical kinetics

Figure 6: A) NanoTA measurements of a clearcoat measured at three different times after deposition and B) the plot of softening temperatures vs cure time. opens new opportunities to explore the effects of composition, additives, and processing conditions on the speed of film drying, and mechanical property development at surfaces and interfaces. The ability to measure rates of chemical processes can also yield information about the reaction mechanism, transition states, as well as provide mathematical models that can be used to quantify and describe the time scales of the chemical reactions. [9] As can be seen in Figure 6A, the transition temperature and penetration depth (which is a direct function of the crosslink density) shows a linear correlation with cure time. Since the molecular structure and thermodynamics near the air-surface interface usually differ from the bulk, this can lead to significant deviations in glass transition temperatures and modulus as measured by methods such as DSC or TMA. [10], [11] Figure 7 is another example of how nanota can be used to measure and quantify the effect of additives on mechanical property development of coatings, as a function of drying time and composition. This figure shows an increase in softening temperature (or crosslink density) over time for the five different coating products tested by nanota. These consist of a commercial VOC noncompliant formulation; a commercial VOC-compliant and a VOC-compliant internal control with two different additives, Eastman Solus [TM] 2100 (a performance additive for high solids 2K coatings); and a developmental performance additive (DPA). Figure 7: Comparison of softening temperatures measured for outdoor exposed (0, 20, and 41 weeks) clear and TiO2 filled (P25 & P9) acrylic urethane coatings using nanota and MDSC. Surface morphology was also measured using SEM.

NanoTA of the VOC noncompliant coating, which is a low-solids, high-solvent formulation, shows a linear increase in softening temperature with cure time, while all of the VOC- compliant formulations (high-solids and low-solvent content) display ~24-hr lag or transition period during which time there is no measurable increase in softening temperature. After the 24-hr lag time, the rate of increase of softening temperature, or film cure (drying) rate, for the VOC-compliant coatings increases at a faster rate than the commercial VOC noncompliant formulations (Table 1). Because nanota can be applied on in-situ coatings, the softening temperatures can be monitored overtime and thus provide cure-rate information from surfaces that are difficult to measure by other techniques. Table 1-NanoTA measure of drying rates or rate of increase of softening temperature. Formulation Drying Rate( C/hr) 24-48 hr Internal control 0.519 Solus 2100 0.607 DPA 0.633 VOC noncompliant 0.391 VOC compliant 0.499 Comparison of nanota with DMA of films 60-70 urn thick, having similar compositions, but peeled from substrates before testing, provides a measure of the temperature dependence of the storage modulus of the fully cured films, as a function of testing temperature. The DMA results (Figure 6B) compare favorably with the nanota results (Figure 6A) and show the VOC-compliant films as having the lowest softening temperatures, while the VOC noncompliant coatings (low-solids, high-solvent content) display the highest storage modulus at ambient temperatures and highest softening temperatures, above Tg. These data offer unambiguous evidence that addition of Solus 2100 to the VOC-compliant, internal control formulation gives a measurable improvement in mechanical properties as measured by nanota for surface mechanical property development and DMA for mechanical property development of the fully cured films, and bridges the gap in performance between the VOC compliant and VOC noncompliant coating formulations. DMA results further support the trend for increased crosslinking by the increased Tg and increasing modulus above Tg.[14] The major advantages of nanota over DMA are its surface sensitivity, ability to measure coatings on their substrates, and provide time-resolved thermo-mechanical property data for films that are not self-supporting. In this set of experiments, nanota confirmed the benefits of Solus 2100 addition to VOC compliant formulations in accelerating both drying rates and mechanical property development at the air/coating interface. CONCLUSION Transition temperature microscopy (TTM) is a technique that combines the benefits and advantages of microscopy with nanoscale thermal probe technology. The addition of a probe with an integrated heater to an optical microscope or a conventional AFM adds a new dimension and the valuable capability of spatially resolved thermal analysis. This combination facilitates the characterization of complex, heterogeneous, and multilayered structures by providing high-resolution thermal property mapping. The ability to heat and test very small regions of a sample surface enables the TTM technique to be uniquely valuable in applications ranging from coating defect analysis to insitu characterization of reinforced composites and timeresolved dynamic measurements for coating design. This technique is made possible by the recent advances in microfabricated thermal probe technology, which permit scientists to heat and measure thermal properties from regions on the nano-and micro- scale. References (1.) Zhou, J.N., Douglas, J.F., Karim. A., Snyder, G.R., Soles, C.L., and Berry, B., "Nanoscale Thermal and Mechanical Probe Determination of Softening Transitions in Thin Polymer Films," Nanotechnology, 19, 495703 (2008). (2.) Harding, L, King, W.P., Craig, D.Q.M., and Reading, M., "Nanoscale Imaging of Partially Amorphous Materials using Local Thermomechanical Analysis and Heated Tip Pulsed Force Mode AFM," Pharm. Res. (2007). (3.) Nelson, B.A. and King, W.P., "Thermal Analysis with Nanoscale Spatial Resolution using Heated Probe Tips," Rev. Scientific Instruments, 78, 023702, (2007). (4.) Nelson, B.A. and King, W.P., "Temperature Calibration of Heated Silicon Atomic Force Microscope Cantilevers," Sensors and Actuators A, 140, 51-59 (2007). (5.) Germinario, L, "Nano Thermal Analysis of Polymers, Thin Films, and Coatings," Microscopy and Microanalysis Conf., Fort Lauderdale, FL, 2007. (6.) King, W.P, Saxena S., Nelson, B.A., Weeks, B.L., and Pitchimani, R., "Nanoscale Thermal Analysis of an Energetic Material," Nano. Lett, 6 2145-9 (2006). (7.) King, W.P., et al., "Atomic Force Microscope Cantilevers for Combined Thermomechanical Data

Writing and Reading," Applied Phys. Lett, 78, p. 1300-1302 (2001). (8.) Schmidt, E.V., Exterior Durability of Organic Coatings, FMJ Intern. Publ., Redhill Surrex, 1988. (9.) Germinario, L.T. and Shang, P.P., J. Thermal Analysis Calorimetry, Vol. 93, 1, p. 207-211 (2008). (10.) Herminghaus, S., Jacobs, K., and Seemann, R., Euro. Phys. J., 12, 101-110 (2003). (11.) Forrest, J.A. and Dalnoki-Veress, K., Advance in Colloid and Interface Science, 94, 167-197 (2001). (12.) Menard, K.P., Dynamic Mechanical Analysis: A Practical Introduction, CRC Press, p. 107, 1999.