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Dsc and hyper dsc, introduction to the basic fundamentals of thermal analytical methods.
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MATHEMATISCH-NATURWISSENSCHAFTLICHE FAKULT AT I¨ INSTITUT F UR PHYSIK¨
1 Introduction 1
2 Thermal Properties of a Polymer 1 2.1 Heat Capacity...................................... 1 2.2 Glass Transition.................................... 2 2.3 Crystallization..................................... 3 2.4 Melting......................................... 3 2.5 Combining Tg, Tc, and Tm.............................. 4
3 DSC Instructions 5 3.1 Heat Flux DSC..................................... 5 3.2 Power Compensated DSC............................... 5
4 Modulated DSC 6
5 Set-up and Experiment 10 5.1 Encapsulating the Sample............................... 10 5.2 Loading the Sample.................................. 11
6 Experiment 1: Thermal Behavior of PET 12 6.1 Sample Preparation.................................. 12 6.2 Setting up the Experiment............................... 12 6.3 Data Analysis...................................... 14
7 Experiment 2: Determination of Cp and Weak Glass Transition in PS Via Modulated DSC 15 7.1 Experimental Set-up.................................. 15 7.2 Data Analysis...................................... 15
8 Experiment 3: Glass Transition of a Random Copolymer and Block Copoly- mer (Optional) 17
Differential scanning calorimetry (DSC) is a technique used to investigate the response of polymers to heating. DSC can be used to study the melting of a crystalline polymer or the glass transition.
The DSC set-up is composed of a measurement chamber and a computer. Two pans are heated in the measurement chamber. The sample pan contains the material being investigated. A second pan, which is typically empty, is used as a reference. The computer is used to monitor the temperature and regulate the rate at which the temperature of the pans changes. A typical heating rate is around 10 ◦C/min.
The rate of temperature change for a given amount of heat will differ between the two pans. This difference depends on the composition of the pan contents as well as physical changes such as phase changes. For the heat flux DSC used in this lab course, the system varies the heat provided to one of the pans in order to keep the temperature of both pans the same. The difference in heat output of the two heaters is recorded. The result is a plot of the difference in heat (q) versus temperature (T).
The heat capacity (Cp) of a system is the amount of heat needed to raise its temperature 1 ◦C. It is usually given in units of Joules/ ◦C and can be found from the heat flow and heating rate. The heat flow is the amount of heat supplied per unit time
Heat flow =
heat time
q t
where t is time. The heating rate is the time rate change of temperature
Heating rate =
t
where ∆T is the change in temperature. One can obtain the heat capacity from these quantities
Cp =
q t ∆T t
q ∆T
This means the heat capacity can be found by dividing the heat flow by the heating rate. If the Cp of a material is constant over some temperature range, then the plot of heat flow against temperature will be a line with zero slope as shown in Figure 1. If the heating rate is constant then the distance between the line and the x axis is proportional to the heat capacity. If heat is plotted against temperature then the heat capacity is found from the slope.
Above the glass transition temperature the polymer chains have high mobility. At some temperature above Tg the chains have enough energy to form ordered arrangements and undergo crystallization. Crystallization is an exothermic process, so heat is released to the surroundings. Less heat is needed to keep the heating rate of the sample pan the same as that of the reference pan. This results in a decrease in the recorded heat flow. If the convention of ‘exothermic - down’ is used then the result is a dip in the plot of heat flow versus temperature as seen in Figure 3.
Such a crystallization peak can be used to confirm that crystallization occurs in the sample, find the crystallization temperature (Tc) and determine the latent heat of crys- tallization. The crystallization temperature is defined as the lowest point of the dip. The latent heat (enthalpy) of crystallization is determined from the area under the curve.
Figure 3: Example of a crystallization ‘peak’ in a plot of heat flow against temperature. Crystallization is an exothermic process, so the heat flow to the sample must be decreased to maintain a constant heating rate.
The polymer chains are able to move around freely at the melting temperature (Tm) and thus do not have ordered arrangements. Melting is an endothermic process, requiring the absorption of heat. The temperature remains constant during melting despite continued heating. The energy added during this time is used to melt the crystalline regions and does not increase the average kinetic energy of the chains that are already in the melt. In a plot of heat against temperature this appears as a jump discontinuity at the melting point as seen in Figure 4A. The heat added to the system during the melting process is the latent heat of melting. It can be calculated from the area of a melting peak observed in a plot of heat flow against temperature, such as the one in Figure 4B. The Tm is defined as the temperature at the peak apex. After melting the temperature again increases with heating. However, the heat capacity of a polymer in the melt is higher than that of a solid crystalline polymer. This means the temperature increases at a slower rate than before.
Figure 4: Melting is an endothermic process so the heat flow to the sample must be increased to keep the heating rate constant, resulting in a discontinuity in the plot of heat versus temperature (A). This appears as a peak if the heat flow is plotted against temperature (B). The area under the curve can be used to calculate the latent heat of melting.
An example of a DSC plot showing a glass transition, crystallization peak and melting peak is shown in Figure 5.
Figure 5: Example plot of a heat flow versus temperature plot for a polymer that under- goes a glass transition, crystallization and melting.
It is worth noting that not all polymers undergo all three transitions during heating. The crystallization and melting peaks are only observed for polymers that can form crystals. While purely amorphous polymers will only undergo a glass transition, crystalline poly- mers typically possess amorphous domains and will also exhibit a glass transition as seen in Figure 5. The amorphous portion only undergoes the glass transition while the crys- talline regions only undergo melting.
The exact temperatures at which the polymer chains undergo these transitions depend on the structure of the polymer. Subtle changes in polymer structure can result in huge changes in Tg. The difference between the glass transition and melting point is illustrated in Figure ??. In the case of a perfectly crystalline polymer the plot of heat against temperature has a jump discontinuity at the melting point. The plot of heat against temperature is
dq dt
where dqdt is the heat flow, ∆T is the temperature difference between the reference and sample, and RD is the thermal resistance of the disk platform. The heat flow to each pan is adjusted to keep their temperature difference close to zero while the furnance temperature is increased linearly.
The DSC 2920 Differential Scanning Calorimeter (TA Instruments) used in the PMM laboratory is a typical heat flux DSC (Figure 8). It is used to obtain qualitative and quantitative information about the physical and chemical changes that materials undergo during heating. It is also capable of modulated heating, the advantages of which will be explained in the section on modulated differential scanning calorimetry (see Section 4).
Figure 7: Schematic of a power compensated DSC system. The sample and reference pans are heated separately. The heat flow to each pan is adjusted to keep their temperature difference close to zero. The difference in heat flow is recorded.
Figure 8: The DSC 2920 used in the PMM laboratory.
Modulated temperature DSC (MDSC) is an extension of DSC. The same heat flux DSC cell is used for MDSC, but a sinusoidal temperature oscillation (modulation) is overlaid on the conventional linear temperature ramp. This results in the heating rate at times being
faster or slower than the underlying linear heating rate. This variation in instantanous heating is illustrated in Figure 9. The actual heating rate depends on three experimen- tal variables: the underlying heating rate, the amplitude of modulation and the period (frequency) of modulation. Typical values for these parameters are a heating rate of 1 to 5 ◦C/min, an amplitude of ± 0.5 to ± 1 ◦C, and an oscillation period of 40 to 60 s. Higher resolution can be achieved by decreasing the heating rate, increasing the amplitude, and decreasing the oscillation period.
Figure 9: Typical modulated temperature versus time plot for MDSC. A sinusoidal tem- perature variation is overlaid on a linear heating.
Both conventional DSC and MDSC can be used to find transition temperatures, latent heats of phase transitions and heat capacity. However, MDSC can be used to obtain more information than a single DSC run and overcomes several limitations of conventional DSC. For instance, the heat capacity and heat flow can be measured in a single experiment using MDSC. Temperature modulation also makes it possible to separate complex transitions into more easily interpreted components. MDSC has a higher sensitivity than DSC, which improves the detection of weak transitions. The resolution of these transitions can also be increased without loss of sensitivity. Finally, MDSC provides more accurate measure- ments of the degree of crystallinity in polymers and allows for direct determination of thermal conductivity.
One advantage of MDSC is the improved analysis of complex transitions. Many transi- tions are complex, meaning that they actually involve multiple processes. An example is an endothermic process known as enthalpic relaxation that can occur during the glass transition. The magnitude of enthalpic relaxations depends on the thermal history of the material. In some cases it can cause a glass transition to look like a melting peak. Another example is the melting and crystallization of a polymer. These processes can occur simultaniously, making it almost impossible to determine the true crystallinity of the sample. Conventional DSC does not help in these cases since it only measures the total heat flow from all thermal events in the sample at a given temperature. If multiple transitions occur in the same temperature range, then the results are confusing and often misinterpreted. MDSC ameliorates this problem by separating the total heat flow signal into its reversing and non-reversing components.
Conventional DSC is not well suited for the detection and accurate measurement of weak
the average heating rate. Multiplying by the negative of the heating rate inverts the heat flow signal so that endothermic processes result in valleys. The non-reversing heat flow is computed as the difference between the total heat flow and the reversing heat flow.
See Appendix C of the DSC 2920 operator’s manual for more information about the principles of modulated DSC operation.
Starting the System:
See pages 3-11 to 3-24 in the DSC 2920 manual for more information.
Practice making a few nonhermetic sample pans to become familiar with the procedure before trying with your sample.
The aim of this experiment is to find Tg, Tc, and Tm as well of the latent heats of crystallization and melting for PET. The experimentally obtained DSC curve should be compared to a literature curve for PET and the differences should be discussed.
Now start the experiment by pressing the START button on the main menu. The window should appear as shown in Figure 11.
Figure 10: The ‘Experimental View’ summary window.
Figure 11: The ‘Experimental View’ procedure window
The goal of this experiment is to find the glass transition temperature of PS using mod- ulated DSC and compare the results to literature.
After the experiment is done running, open the file using the Universal Analysis software.
For the weak glass transition:
For the heat capacity: