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Relevant bibliographies by topics / Temperature-modulated differential scanning calorimetry

Academic literature on the topic 'Temperature-modulated differential scanning calorimetry'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Temperature-modulated differential scanning calorimetry"

1

ISHIKIRIYAMA, KAZUHIKO. "Temperature Modulated Differential Scanning Calorimetry." FIBER 65, no. 11 (2009): P.428—P.432. http://dx.doi.org/10.2115/fiber.65.p_428.

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Van Hemelrijck, A., and B. Van Mele. "Modulated temperature differential scanning calorimetry." Journal of thermal analysis 49, no. 1 (July 1997): 437–42. http://dx.doi.org/10.1007/bf01987467.

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Van Assche, G., A. Van Hemelrijck, and B. Van Mele. "Modulated temperature differential scanning calorimetry." Journal of thermal analysis 49, no. 1 (July 1997): 443–47. http://dx.doi.org/10.1007/bf01987468.

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Jiang, Zhong, Corrie T. Imrie, and John M. Hutchinson. "Temperature modulated differential scanning calorimetry. Part I:." Thermochimica Acta 315, no. 1 (May 1998): 1–9. http://dx.doi.org/10.1016/s0040-6031(98)00270-6.

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Cser, F., F. Rasoul, and E. Kosior. "Modulated Differential Scanning Calorimetry." Journal of thermal analysis 50, no. 5-6 (December 1997): 727–44. http://dx.doi.org/10.1007/bf01979203.

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Roussel, F., and J. M. Buisine. "Modulated differential scanning calorimetry." Journal of Thermal Analysis 47, no. 3 (September 1996): 715–25. http://dx.doi.org/10.1007/bf01981806.

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Reading, M., A. Luget, and R. Wilson. "Modulated differential scanning calorimetry." Thermochimica Acta 238 (June 1994): 295–307. http://dx.doi.org/10.1016/s0040-6031(94)85215-4.

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Hourston, D. J., M. Song, H. M. Pollock, and A. Hammiche. "Modulated differential scanning calorimetry." Journal of thermal analysis 49, no. 1 (July 1997): 209–18. http://dx.doi.org/10.1007/bf01987441.

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Gill, P. S., S. R. Sauerbrunn, and M. Reading. "Modulated differential scanning calorimetry." Journal of Thermal Analysis 40, no. 3 (September 1993): 931–39. http://dx.doi.org/10.1007/bf02546852.

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Krüger, Jan, Wolfgang Manglkammer, Andrä le Coutre, and Patrick Mesquida. "Differential scanning calorimetry and temperature-modulated differential scanning calorimetry: an extension to lower temperatures." High Temperatures-High Pressures 32, no. 4 (2000): 479–85. http://dx.doi.org/10.1068/htwu580.

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Dissertations / Theses on the topic "Temperature-modulated differential scanning calorimetry"

1

Nikolopoulos, Christos. "Mathematical modelling of modulated-temperature differential scanning calorimetry." Thesis, Heriot-Watt University, 1997. http://hdl.handle.net/10399/659.

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Jiang, Zhong. "Temperature modulated differential scanning calorimetry : modelling and applications." Thesis, University of Aberdeen, 2000. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU603190.

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The research described in this thesis focused on the TMDSC technique with respect to both theoretical problems and applications. Theoretically, modelling work has been performed to address the effects of heat transfer in the measuring cell on both dynamic and quasi-isothermal TMDSC experiments. The problems of heat transfer generally influence the measured complex heat capacity and phase angle values, but eventually affect the precise measurements of other frequency dependent quantities such as the in-phase and out-of-phase heat capacities. A procedure has been suggested to correct the measured phase angle obtained by dynamic TMDSC using the scaled complex heat capacity trace (Chapter 3). The modulation frequency dependence of the instrumental phase angle has been fully investigated using more realistic models in terms of various heat transfer interface qualities, sample properties and sensor properties. In these models, it is emphasised that the measured temperatures are the sensor temperatures rather than the sample temperatures, thus, the contributions of the sensor's properties to the heat transfer are, for the first time, separated from the overall effects (Chapter 4 and Chapter 5). The consequent effects of heat transfer on the sample's heat capacity measurements are investigated based on the models suggested (Chapter 6). All the modelling results are compared with the corresponding experimental data obtained by ADSC (Mettler-Toledo Ltd) and they are in good agreement. Ripples and fluctuations which appear on the experimental signals during the glass transition and cold crystallisation transition have been simulated using* a simple model in which the period of the modulation signals changes with the time during the transitions, and then, been shown to be artefacts of the Fourier transformation process used by TMDSC evaluations (Chapter 7). The applications of TMDSC to both research and commercial samples are reported in terms of differing either the experimental conditions or the thermal history of the sample. Separating of time dependent kinetic processes from the time independent dynamic processes has been applied on the studies of the glass transition (for polycarbonate and poly(ethylene terephthalate)), the cold crystallisation (for poly(ethylene terephthalate)), the melting transition (for poly(ethylene terephthalate) and lead/tin alloys), the clearing transition of a liquid crystal polymer, and the vitrification of an epoxy resin under quasi-isothermal conditions. The main conclusion drawn from these studies is that the in-phase heat capacity is greatly influenced by the frequency of the temperature modulations even when the underlying heating (or cooling) rate remains the same. This strongly implies that the sample undergoes different structural change under different modulation conditions for the melting transition and clearing transition, but not for the glass transition and cold crystallisation. However, the interpretations of the in-phase heat capacity and out-of- phase heat capacity still need to be clarified. The detection of the glass transition and clearing point for the liquid crystal polymers, and the determination of wax appearance temperature for crude oils, show the ability of TMDSC for combining the sensitivity of a measurement at high instantaneous heating or cooling rates with the resolution obtained by measuring at a low underlying heating or cooling rates. The work on the isothermal curing of the epoxy resins displays the ability of TMDSC on measuring the heat capacity of the sample and its variation under the quasi-isothermal conditions. The frequency dependent complex heat capacity during the glass transition provides a window to measure the apparent activation energy of the transition, which is different, in some extent, from the window used by conventional DSC. The results are correlated by a shift factor. Some shortcomings of TMDSC, however, have been noticed in both modelling and application work. Firstly, any experiments for the purpose of either understanding or the quantitative measurements of TMDSC output quantities should be performed under carefully selected conditions which can satisfy the linear response assumption. Secondly, some signals in particular those associated with kinetic processes may not be fully sampled by TMDSC due to the limit of the observing window of a modulation. Thirdly, when the sensitivity is improved on TMDSC by separating the kinetics processes and noises from the dynamic processes, the TMDSC evaluation procedure introduces mathematical artefacts into the output signals. As a consequence, it is preferable to include as many temperature modulations as possible within any transition being studied in order to obtain good quality experimental signals by eliminating or minimising these artefacts, which, however, is not an easy task for some very abrupt transitions such as melting of metals.

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Song, Mo. "Applications of modulated-temperature differential scanning calorimetry to multi-component polymer materials." Thesis, Lancaster University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337256.

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Hill, Vivienne Lucy. "An investigation into the use of MTDSC as a technique for the characterisation of pharmaceutical materials." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322735.

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Kirby, Erin. "Study of low temperature nondenaturational conformational change of bovine alpha-chymotrypsin by slow- scanrate differential scanning calorimetry." Thesis, Texas Woman's University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1550669.

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Slow-scan-rate differential scanning calorimetry of enzymes can detect conformational changes which are under kinetic control and not observable at standard scan rates. This method detected a nondenaturational conformational change of bovine &agr;-chymotrypsin at 286 K. This temperature occurs between bovine physiological temperature of 312 K and x-ray crystallography temperature, typically 277 K. This suggests that there are two conformers of &agr;-chymotrypsin, a low temperature conformation and a physiological temperature conformation. The low-temperature to physiological-temperature conformational change has a high activation energy and thus is temperature dependent. The equilibrium thermodynamic changes suggest a reordering of the enzyme structure to give more favorable inter-residue interactions accompanied by an ordering of the structure but one in which there is no change in associated water molecules. The transition state thermodynamics suggest a very strained transition state but one where, again, no change in water interactions is detectable.

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Almutairi, Badriah Saad. "Correlating Melt Dynamics with Glass Topological Phases in Especially Homogenized Equimolar GexAsxS100-2x Glasses using Raman Scattering, Modulated- Differential Scanning Calorimetry and Volumetric Experiments." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1593272974284834.

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Chbeir, Ralph. "Correlating Melt Dynamics with Topological Phases of Homogeneous Chalcogenide- and Modified Oxide- Glasses Using Raman Scattering, Infra-Red Spectroscopy, Modulated-Differential Scanning Calorimetry and Volumetric Experiments." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1573224465185235.

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Zhu, Xiaoyi. "Prediction of Specific Heat Capacity of Food Lipids and Foods." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437750532.

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Lele, Stephen, and slele@bigpond net au. "Additives on the Curing of Phenolic Novolak Composites." RMIT University. Applied Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070205.095402.

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The research programme studied the cure reaction of a phenolic novolak resin and the effects of various additives and fillers on the reaction. The programme utilised the recently developed thermal analysis technique of temperature-modulated differential scanning calorimetry (TMDSC) performed in conjunction with other available thermal analysis techniques. TMDSC enables the signal for the heat of reaction to be separated from the underlying specific heat change in the resin. This meant that the reaction could be studied without interference from any physical changes in the resin. The manufacture of composite brake materials required the use of numerous additives and fillers to produce the desired properties. The influence of such additives on the cure rate and final properties of the resin was known to occur but had not previously been measured due to the difficulties presented by the presence of opaque additives. Some additives also underwent thermally induced physical changes in the temperature range of the cure. The final properties and the processing of new brake materials undergoing development often required trial and error adjustments to compensate for changes in cure rate. An understanding of the influence of additives would enable more rapid commercial development of brake materials through an improvement in the ability to predict both the properties of the product and the optimal processing parameters. Processing efficiency could also be improved through detailed knowledge of the kinetics. Moulding cycle times and post-baking times and temperatures were longer than necessary in order to ensure adequate cure at the end of each stage because of the lack of kinetic data. The cure of phenolic resin has been shown to be highly complicated with numerous alternate and competing reactions. For the manufacture of composite materials, knowledge of the kinetic parameters of individual reactions is not considered to be important; rather the overall kinetic parameters are required for prediction. Therefore the kinetic model parameters that best described the observed behaviour were chosen even though the model had no basis in the molecular interaction theory of reaction. Rather it served as a convenient tool for predictions. Characterisation of the resin proved to be difficult due to the presence of overlapping peaks, and volatile reaction products. TMDSC was successfully used to determine the reaction kinetics of the pure resin and the influence of certain additives on the reaction kinetics. The determination of the kinetic parameters using TMDSC agreed well with the traditional Differential Scanning Calorimetry isothermal and non-isothermal techniques. Both the Perkin-Elmer and TA Instruments were utilised for the research and were found to provide reasonably good agreement with each other. The capabilities and limitations of the individual instruments were critically examined, frequently beyond the manufacturers' specifications. TMDSC suffers from a limitation in the heating rate of the sample compared to DSC. However, it was observed that valuable information could still be obtained from TMDSC despite using heating rates that were higher than specified by manufacturers. Hot Stage Microscopy and thermogravimetry were additional experimental techniques used to aid in the characterisation of the resin. Some inhomogeneity of the resin was identified as well as differences in the behaviour of the cure between open (constant pressure) and closed (constant volume) environments were observed. A novel method of determining the orders of the cure reactions and their kinetic parameters was utilised. Reaction models for the overall cure reactions were postulated and tested by fitment to sections of experimental data in temperature regions which appeared to be free of interference from overlapping peaks. Once an individual peak was reasonably well modelled, adjacent overlapping peaks were able to be modelled both individually and in combinations by fitment to experimental data. The Solver function in Microsoft Excel was utilised to find the best fitting model parameters for the experimental data. The model parameters were able to be refined as overlapping peaks were progressively incorporated into the calculations. This method produced results that agreed well with the traditional method of analysing reaction peak temperatures at multiple scanning rates. Model fitment was shown to be of benefit where overlapping reactions occur. Various model scenarios could be tested and optimised to particular sections of experimental data. This enabled the researcher to easily identify areas of possible anomalies and postulate alternative scenarios. The accuracy of the postulated model was able to be determined by its successful fitment to experimental data from experiments run under different conditions.

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Dash, Shreeram J. "Aging of Selenium glass probed by MDSC and Raman Scattering Experiments: Growth of inter-chain structural correlations leading to network compaction." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1490354472387536.

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Books on the topic "Temperature-modulated differential scanning calorimetry"

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Reading, Mike, and Douglas J. Hourston, eds. Modulated Temperature Differential Scanning Calorimetry. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-3750-3.

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Reading, Mike, and Douglas J. Hourston. Modulated Temperature Differential Scanning Calorimetry: Theoretical and Practical Applications in Polymer Characterisation. Springer, 2010.

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Mike, Reading, and Hourston Douglas J, eds. Modulated temperature differential scanning calorimetry: Theoretical and practical applications in polymer characterisation. Dordrecht: Springer, 2006.

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(Editor), Mike Reading, and Douglas J. Hourston (Editor), eds. Modulated Temperature Differential Scanning Calorimetry: Theoretical and Practical Applications in Polymer Characterisation (Hot Topics in Thermal Analysis and Calorimetry). Springer, 2006.

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Book chapters on the topic "Temperature-modulated differential scanning calorimetry"

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van Ekenstein, G. O. R. Alberda, G. ten Brinke, and T. S. Ellis. "Polymer—Polymer Miscibility Investigated by Temperature Modulated Differential Scanning Calorimetry." In ACS Symposium Series, 218–27. Washington, DC: American Chemical Society, 1999. http://dx.doi.org/10.1021/bk-1998-0710.ch015.

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Van Mele, Bruno, Hubert Rahier, Guy Van Assche, and Steven Swier. "The Application of Modulated Temperature Differential Scanning Calorimetry for the Characterisation of Curing Systems." In Hot Topics in Thermal Analysis and Calorimetry, 83–160. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-3750-3_2.

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Charoenrein, S., N. Harnkarnsujarit, N. Lowithun, and K. Rengsutthi. "Glass Transition Temperature of Some Thai Fruits Using Differential Scanning Calorimetry: Influence of Annealing and Sugar Composition." In Food Engineering Series, 413–20. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2578-0_35.

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Okamoto, Kouji, Motoko Kanematsu, Kazunari Arima, Yuko Uemura, Kozue Kaibara, Shintarou Yamamoto, Hiroaki Kodama, and Michio Kondo. "Studies of differential scanning calorimetry and temperature profile for turbidity formation on self-assembly of elastin peptides." In Peptide Chemistry 1992, 399–401. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1474-5_118.

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Busserolles, K., G. Roux-Desgranges, and A. H. Roux. "Differential Scanning Calorimetry (DSC) and Temperature Dependence of the Electrical Conductivity in the Ternary System: Water + CTAB + Phenol." In Thermodynamic Modeling and Materials Data Engineering, 143–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72207-3_15.

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Kett, Vicky, John Murphy, Duncan Craig, and Mike Reading. "Modulated Temperature Differential Scanning Calorimetry." In Thermal Analysis of Pharmaceuticals, 101–38. CRC Press, 2006. http://dx.doi.org/10.1201/9781420014891.ch4.

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Martinho Simões, José A., and Manuel Minas da Piedade. "Differential Scanning Calorimetry (DSC)." In Molecular Energetics. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780195133196.003.0016.

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Physical and chemical changes may often be induced by raising or lowering the temperature of a substance. Typical examples are phase transitions, such as fusion, or chemical reactions, such as the solid state polymerization of sodium chloroacetate, which has an onset at 471 K: ClCH2COONa (cr) ⇋ NaCl (cr) + 1/n − (CH2COO)n − (pol) Differential scanning calorimetry (DSC) was designed to obtain the enthalpy or the internal energy of those processes and also to measure temperature-dependent properties of substances, such as the heat capacity. This is done by monitoring the change of the difference between the heat flow rate or power to a sample (S) and to a reference material (R), ΔΦ = ΦS − ΦR = (dQ/dt)S − (dQ/dt)R, as a function of time or temperature, while both S and R are subjected to a controlled temperature program. The temperature is usually increased or decreased linearly at a predetermined rate, but the apparatus can also be used isothermally. In some cases DSC experiments may provide kinetic data. According to Wunderlich, differential scanning calorimeters evolved from the differential thermal analysis (DTA) instruments built by Kurnakov at the beginning of the twentieth century. In these early DTA apparatus, the temperature difference between a sample and a reference, simultaneously heated by a single heat source, was measured as a function of time. No calorimetric data could be derived, and the instruments were used, for example, to determine the temperatures of phase transitions and to identify metals, oxides, minerals, soils, and foods. The attempts to obtain calorimetric data from DTA instruments eventually led to the development of DSC. The term differential scanning calorimetry and the acronym DSC were coined in 1963 when the first commercial instrument of this type became available. This apparatus was easy to operate, enabled fast experiments, and required only small samples (typically 5–10 mg). Its importance for materials characterization was immediately demonstrated and the DSC technique soon experienced a boom. New user-friendly commercial instruments were developed, and new applications were explored. It is, however, somewhat ironic that the method ows its still growing popularity to analytical rather than calorimetric uses.

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Schick, C. "Temperature modulated differential scanning calorimetry (TMDSC) – basics and applications to polymers." In Applications to Polymers and Plastics, 713–810. Elsevier, 2002. http://dx.doi.org/10.1016/s1573-4374(02)80019-x.

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Ezrahi, Shmaryahu, Abraham Aserin, and Nissim Garti. "Investigation of Amphiphilic Systems by Subzero Temperature Differential Scanning Calorimetry." In Adsorption and Aggregation of Surfactants in Solution, 105–31. CRC Press, 2002. http://dx.doi.org/10.1201/9780203910573.ch5.

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Kessler, Olaf, Benjamin Milkereit, and Christoph Schick. "Quench Sensitivity and Continuous Cooling Precipitation Diagrams." In Encyclopedia of Aluminum and Its Alloys. Boca Raton: CRC Press, 2019. http://dx.doi.org/10.1201/9781351045636-140000288.

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The application properties of metallic materials are frequently adjusted by heat treatments utilizing controlled microstructural changes—i.e., solid–solid phase transformations like nondiffusional martensitic transformation or diffusional secondary phase precipitation and/or dissolution. For technical application, knowledge about the characteristic temperatures and times but moreover about their time dependence (kinetics) is required. As the relevant solid–solid phase transformations all show a heat effect (e.g., precipitation → exothermic; dissolution → endothermic), one outstanding measurement technique to follow these phase transformations is calorimetry, particularly differential scanning calorimetry (DSC). Appropriate combinations of DSC methods and devices to cover nine orders of magnitude in heating and cooling rates (10−4–105 K/s) will be introduced, using dissolution and precipitation reactions in aluminum alloys as examples. Basically, these techniques allow one to record time–temperature transformation (or precipitation/dissolution) diagrams for various materials during heating, isothermal annealing, and even during continuous cooling, making DSC a very powerful tool for the investigation of solid–solid phase transformations. Nowadays, physically based models verified with DSC results moreover allow one to predict precipitation volume fractions and solute mass fractions.

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Conference papers on the topic "Temperature-modulated differential scanning calorimetry"

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PAIVA, F. L., V. M. A. CALADO, and F. H. MARCHESINI. "ON THE USE OF MODULATED TEMPERATURE DIFFERENTIAL SCANNING CALORIMETRY TO ASSESS WAX CRYSTALLIZATION IN CRUDE OILS. PART II: COMBINING RHEOMETRY, MICROSCOPY AND MODULATED TEMPERATURE DIFFERENTIAL SCANNING CALORIMETRY." In XXII Congresso Brasileiro de Engenharia Química. São Paulo: Editora Blucher, 2018. http://dx.doi.org/10.5151/cobeq2018-co.022.

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PAIVA, F. L., V. M. A. CALADO, and F. H. MARCHESINI. "ON THE USE OF MODULATED TEMPERATURE DIFFERENTIAL SCANNING CALORIMETRY TO ASSESS WAX CRYSTALLIZATION IN CRUDE OILS. PART II: COMBINING RHEOMETRY, MICROSCOPY AND MODULATED TEMPERATURE DIFFERENTIAL SCANNING CALORIMETRY." In XXII Congresso Brasileiro de Engenharia Química. São Paulo: Editora Blucher, 2018. http://dx.doi.org/10.5151/cobeq2018-co.085.

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Wang, Hsin, M. Pyda, R. Androsch, and Bernhard Wunderlich. "Application of IR imaging during temperature-modulated differential scanning calorimetry (TMDSC) measurements." In AeroSense 2002, edited by Xavier P. Maldague and Andres E. Rozlosnik. SPIE, 2002. http://dx.doi.org/10.1117/12.459610.

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Bricker, Ryan M., and Simon A. M. Hesp. "Modulated Differential Scanning Calorimetry Study of Physical Hardening Rates in Asphalt Cements." In 2013 Airfield & Highway Pavement Conference. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413005.079.

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Lu, Daoqiang Daniel, Chuan Hu, and Annie Tzu-Yu Huang. "Forming High Temperature Solder Interfaces by Low Temperature Fluxless Processing." In ASME 2007 InterPACK Conference collocated with the ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ipack2007-33197.

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This paper provides a fundamental study of large area, fluxless bonding with three different solder systems Cu-Sn, Ag-In, and Ag-SnBi, which were pre-deposited in layered structures. The thickness of each individual layer was carefully designed such that, after bonding and annealing at lower temperatures, the final solder interface only had high melting point components and showed higher re-melting points. A systematic bonding study was conducted, and re-melting points and microstructure of the formed solder interface were studied using differential scanning calorimetry (DSC), and scanning electron microsopy (SEM), respectively.

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Sabau, Adrian S., and Wallace D. Porter. "Analytical Models for the Systematic Errors of Differential Scanning Calorimetry Instruments." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56745.

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Differential Scanning Calorimetry (DSC) measurements are routinely used to determine enthalpies of phase change, phase transition temperatures, glass transition temperatures, and heat capacities. In order to obtain data on the amount of phases during phase change, time-temperature lags, which are inherent to the measurement process, must be estimated through a computational analysis. An analytical model is proposed for the systematic error of the instrument. Numerical simulation results are compared against experimental data obtained at different heating and cooling rates.

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Bondariev, Vitalii. "High-temperature thermogravimetric analysis and differential scanning calorimetry of nanocomposites (FeCoZr)x(CaF2)100-x." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, edited by Ryszard S. Romaniuk. SPIE, 2016. http://dx.doi.org/10.1117/12.2249279.

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Aksan, Alptekin, and Mehmet Toner. "Glass Formation During Room Temperature, Isothermal Drying." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43049.

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Isothermal drying and glass transition of solutions and films have drawn considerable attention from many industries. We here explore the feasibility of modifying the isothermal drying and vitrification kinetics of carbohydrate solutions in order to ensure the stability and quality of their ingredients. Modulated Differential Scanning Calorimetry experiments with isothermally dried trehalose and trehalose/dextran solutions were performed and the glass transition kinetics have been determined. Three distinct drying regimes were observed. With isothermal, isobaric drying at 0%RH, it was indeed possible to reach the glassy state for a trehalose and a trehalosedextran system. With the addition of high molecular weight sugars, the glass transitions of isothermally dried carbohydrate solutions can be accelerated as a function of dextran mass ratio in the sample.

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Bakhtiyarov, Sayavur I., Elguja R. Kutelia, and Dennis A. Siginer. "Thermometric Studies of Newly Developed Nanolubricants." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65040.

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One of the primary requirements of space lubricants is that they have extremely low vapor pressures to withstand the space vacuum environment. Nanolubricants are known to have extremely low vapor pressure and some have attractive lubricant properties such as low coefficient of friction and good lifetimes. However, many other physical properties need to be evaluated in bringing forth new space liquid lubricants such as wide liquid temperature range and adequate heat transmission capabilities. The heat capacity and heat flow measurements for two newly developed nanolubricants Kolkhida 1 and Kolkhida 2 were conducted using Modulated Differential Scanning Calorimetry (MDSC). The experimental results revealed that the tested ionic liquids have large heat storage capacity as compare to the conventional heat transfer fluids.

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Ye, Changqing, Qiulin Li, Ping Wu, Guoyi Tang, and Wei Liu. "Measurements of Fine Structures in the Lead-Bismuth Eutectic Alloy Melts by Differential Scanning Calorimetry." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60338.

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The implementation of the Generation IV nuclear reactors and a spallation target of the accelerated driven system (ADS) concerning to the use of liquid lead-bismuth eutectic (LBE) alloy. The liquid LBE alloy should be fully characterized and especially its physical properties should be completely known to make sure the nuclear safety. Differential scanning calorimetry (DSC) experiments were employed on LBE alloy at a temperature range of room temperature (RT) to 500°C to detect the structure phase transition and obtain the thermal effect of LBE alloy. The results of DSC curves showed that there existed two remarkable thermal signal events at the melting points zones of Pb and Bi during the melting process tested with a scan rate of 2°C/min. Even though the scan rate was increased to 5°C/min, the DSC signal still exhibited the changes of curve slop at the element melting point zone. Just this interesting DSC thermal signal change phenomenon around 300°C contributed to the relationship with the explanation on the severe embrittlement of T91 steel induced by liquid LBE alloy. The results suggest that there existed effective critical size and form of chemical clusters in liquid LBE alloy worked actively on the embrittlement of T91 Steel.

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Reports on the topic "Temperature-modulated differential scanning calorimetry"

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Edgar, Alexander Steven. A Modulated Differential Scanning Calorimetry Method for Characterization of Poly(ester urethane) Elastomer. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1427360.

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2

Story, Natasha Claire. Investigating the Thermal Behavior of Polymers by Modulated Differential Scanning Calorimetry (MDSC) – A Review. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1633549.

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3

Coker, Eric. The oxidation of aluminum at high temperature studied by Thermogravimetric Analysis and Differential Scanning Calorimetry. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1096501.

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4

Steele, W. V., R. D. Chirico, S. E. Knipmeyer, and N. K. Smith. High-temperature heat-capacity measurements and critical property determinations using a Differential Scanning Calorimeter: Results of measurements on toluene, tetralin, and JP-10. Office of Scientific and Technical Information (OSTI), June 1989. http://dx.doi.org/10.2172/6271949.

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