A number of studies deal with research of thermal insulation effectivity of filling materials up to now [1, 2, 3]. Apart from natural filling material as the goose down, the synthetic nonwoven insulations and newly “artificial down” are well known for their superior thermal insulating properties and these are widely used as an insulating filling material for winter outerwear or sleeping bags [4, 5, 6]. Researchers often refer to thermal insulation performance of fillings in relation to their thickness or weight. In general, thermal resistance of fillings increases with the increase in their thickness [2, 5]. If the porosity of nonwoven fabrics remains constant, the change in thickness (in range of 6–9 mm) has no significant impact on the conductive heat transfer and radiative heat transfer according to the study by Zhu et al. [7]. Physical properties of insulation materials such as bending stiffness, compressibility and recoverability are key determinants to provide the required thermal protection [6, 8]. Furthermore, effects of fiber cross-sectional shapes and fabric weight on thermal insulation, thickness, density, compression and air permeability of polyester needle-punched fabrics have been studied by Debnath and Madhusoothanan [9]. One of the conclusions in this report was that the percentage compression decreases with the increase in fabric weight regardless of cross-sectional shapes of polyester fibers. Although some research has been carried out on the topic of insulation performance, there has been no detailed investigation of the relationship between the compression ratio after cyclic loading (simulating real conditions of use) and the decrease in insulation of fillings. This study tries to analyze how much thermal insulation can deteriorate during lifetime period of products made from the tested materials. This study is a follow-up of our earlier study that dealt with the assessment of thermal resistance of synthetic fillings used for sportswear (the same tested material as in the current study), intended for low ambient temperatures (below zero) [10].
Two sets of insulation materials frequently used in the production of highly functional sportswear and sleeping bags, high-loft insulation materials ClimaShield® and Primaloft® were evaluated in the study. It was interesting to evaluate the influence of weight on compressibility and relaxation behavior of samples after dynamic loading and their thermal performance. Therefore, six groups of samples were tested depending on different weights of fillings. Furthermore, change in thermal properties of samples before and after loading was analyzed. The basic characteristics of the tested samples are shown in Table 1.
Specification of the tested samples
A | A1 | 100% polyester | Nonwoven (hollow fibers) | 73 | 9.4 |
A2 | 102 | 9.9 | |||
A3 | 142 | 13.5 | |||
B | B1 | Nonwoven (hollow fibers, microfibers) | 55 | 8.5 | |
B2 | 92 | 9.3 | |||
B3 | 119 | 13.2 |
Sample A (Primaloft®) uses patented structure of fine microfibers with hollow fibers of higher diameters, by which efficient thermal insulation properties are achieved (Figure 1). Higher amount of air that ensures the thermal insulation capacities even in small thickness of the insulation layer is bound on the cavities between microfibers due to their microscopic dimensions. Thanks to the hollow fibers of bigger diameters, elasticity and thermal insulation properties are maintained even after long-term use, compressing, washing and drying.
Figure 1
Sample A of textile insulation, magnification of 10 mm and 100 mm [10]

Three-dimensional (3D) structure of B (ClimaShield®) textil (as well as in down) is created by thermally bonded cross fibers with hollow channels of triangular cross-section. Diameter of the fibers is in the range of classic hollow fibers and microfibers but due to the cross-section, the fibers are mechanically stronger than common hollow fibers (Figure 1). A batting is a typical chemically tied web of synthetic fibers with subsequent longitudinal layering. Before being measured, the samples had been air-conditioned for 24 hours. The measurement was carried out in an air-conditioned room under constant conditions at a relative humidity of 65% and the standard temperature of 20°C.
The experiment simulated real wearing conditions of winter jackets including carrying a backpack. The performance of the tested insulations was investigated by the following ways:
measuring of measuring of the
The results from the abovementioned methods were compared and discussed to detect the real efficiency of the tested materials. Final values (means) of all the tested parameters correspond to five measurements on average.
Repeated compression-recovery test was carried out by the device developed by the Technical University of Liberec [11], as shown in Figure 3. This simple device consists of a transparent perspex cylinder (base diameter is 14 cm) and a pressure plate for a set of required compression values. To ensure accuracy of measurements, five layers of materials were measured simultaneously and the image processing method NIS Element system was used for both before and after loading measurements.
Figure 2
Sample B of textile insulation, magnification of 10 mm and 100 mm [10]

Figure 3
Schema of static loading measurement

Mutual combinations of two different settings of loading time (10 and 30 min) and two settings of relaxation time (15 and 40 min) were used for the testing. In total, five cycles were done for each type of the test and each sample. The pressure of static loading was 300 Pa. The measuring conditions were arranged according to the standard EN ISO 33886-1: Polymeric materials, cellular flexible – Determination of stress–strain characteristic in compression.
The compression
Recovery is given by equation (2) as the degree to which a sample mass recovered to its original height upon unloading.
To study the thickness variation of insulation fabrics under dynamic loading, the measurement device shown in Figure 4 was used. This instrument was developed at the Technical University of Liberec [12]. A pressure plate with a contact area of 78.5 cm2 (diameter is 10 cm) moved vertically up and down with a frequency of 400 cycles per min, applying a dynamic load of 6 kPa on the samples. The applied pressure of static loading corresponds to the average loading by straps of a 10 kg backpack. This pressure was determined by the XSENSOR® X3 pressure mapping system. Twenty-four thousand cycles were applied to each tested sample to simulate real conditions of backpack wearing. Number of applied cycles should be reflecting how many times wearer uses backpack (puts backpack on or off) during two seasons approximately.
Figure 4
Instrument for dynamic compression test, schema and real photo [12]

The variation of thickness of the tested samples was measured by digital thickness gauge SDL M034A both before and after dynamic loading. Applied pressure (during all measurements of thickness) was set to 50 Pa because the other devices use a low pressure for the measurement of thermal properties, for example, for Togmeter SDL M 259 the pressure is 5 Pa and equipment Fox 314 according to ASTM D1518 measures under a pressure of 70 Pa. Moreover, the carried experiment for fixing thickness of sample by different pressures confirmed the abovementioned conclusion.
The compression
Thermal resistance
Figure 5
Schema of TUL measuring equipment [10]

Producers declare the weight of the tested samples to be 60, 90 and 130 g/m2. Experimentally measured weights of the tested samples are in the range of 55–142 g/m2. The thickness was measured under pressure equal to 50 Pa at steady state thickness. Coefficient of thickness variation is in the range of 18–40%, as shown in Figure 6. It is a well-known fact that both rate of weight irregularity and thickness irregularity of tested nonwovens are caused by the way of web processing. The abovementioned fact can influence variation degree of the tested samples from point of view of their compressibility and thermal properties.
Figure 6
Thickness variability of the tested samples

The results of compression
Figure 7
Compression

Figure 8
Recovery

Two times of loading (10 and 30 min) and subsequently two times of relaxation (15 and 40 min) were applied to the tested materials.
These results are in accordance with recent studies [2, 5], indicating that intensity of high-loft insulations compressibility is influenced by the loading time and the time of relaxation. Generally, longer relaxation time ensures decreasing of thickness compression and thereby the reducing heat losses over the original value of fillings. It is caused by reappearing of air gaps in the fibrous structure of fillings. Furthermore, the compression
As can be seen from Figure 9, the trend of compression
Figure 9
Compression of the tested samples after dynamic loading

The graph in Figure 10 summarizes the results of influence of compressibility on thermal insulation properties of filling materials. The thermal resistance
Figure 10
Thermal resistance of the tested samples after dynamic loading test

Figure 10 provides the results obtained from the analysis of influence of dynamic loading on thermal resistance. The fillings are forced to regroup their internal structure and the air is discharged out of the fabric due to the applied pressure.
Generally, the thermal resistance of air is much bigger than thermal resistance of fibrous polymers. This fact causes a decrease in thermal resistance of filling [13, 14].
The good news is that the drop in thermal insulation (i.e., “
Figure 11
Dependence between compression

Figure 12
Effect of compression

This research extends the knowledge of high-loft thermal insulation materials that considerably affect the wearing comfort of sportswear or sleeping bags. The tested group of filling materials was investigated with respect to compression behavior and thermal properties. This investigation confirmed that intensity of high-loft insulations compressibility is influenced by loading time and time of relaxation.
Furthermore, the study complements earlier studies particularly regarding the impact of both weight (thickness) and compressibility on thermal properties of fillings. The results of this study indicate that the compressibility of filling becomes smaller as the weight of fillings increased. The degree of compression is heavily dependent on the mass unevenness of filling. Variations of thickness can reach even 40%. On the other hand, this drawback can be balanced out by input raw material, namely appropriate ratio of microfibers and hollow fibers of bigger diameters in the filling structure. The relevance of the above is clearly supported by the current findings regarding the poor correlation (
Further research should focus on determining the relation between long-term stress on the filling and its moisture management transport under pressure.
Figure 1
![Sample A of textile insulation, magnification of 10 mm and 100 mm [10]](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_001.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=18000&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=940f5e2ed3f9c70d93ba71fc9678741207c90119d27665c2b3cc3ab0bd592ebb)
Figure 2
![Sample B of textile insulation, magnification of 10 mm and 100 mm [10]](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_002.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=17999&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=0ef2d8be4c56e066a17fc8b9548796caebed1189101e67ff6a5ecdc70c6abfa5)
Figure 3

Figure 4
![Instrument for dynamic compression test, schema and real photo [12]](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_004.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=18000&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=ace97f1d6ebb0ea77cb3cb3873393c9b21df76d3f7a03188b2b04cf6058e0c7c)
Figure 5
![Schema of TUL measuring equipment [10]](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_005.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=18000&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=8fe796d847c527117444d15924934b190a2701c29fe084b66dc26292d1bdd13e)
Figure 6

Figure 7
![Compression C [%] of the tested samples after static loading](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_007.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=18000&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=1aab706753b589de838d7e1f41c895e588b34fd4c9be21c835a684ee7840a30e)
Figure 8
![Recovery R [%] of the tested samples after static loading](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_008.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=18000&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=aa7688a1f93e311433cdef7a91249ad412998d7b7cace287396554fa55446e20)
Figure 9

Figure 10

Figure 11
![Dependence between compression C [%] and Rct difference [%]](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_011.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=17999&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=f9272f0c86f444cefb02031dc3d6561b43f7df3acb8099ad81f2df4ce93cb79a)
Figure 12
![Effect of compression C [%] to Rct.](https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/60078a1dfd113962cb04c565/j_aut-2019-0015_fig_012.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230321T011126Z&X-Amz-SignedHeaders=host&X-Amz-Expires=18000&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20230321%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=1fe816486181ebcbecf1bcd4782e4cb1b5b94428b0fc77799b287ae73b7107d4)
Specification of the tested samples
A | A1 | 100% polyester | Nonwoven (hollow fibers) | 73 | 9.4 |
A2 | 102 | 9.9 | |||
A3 | 142 | 13.5 | |||
B | B1 | Nonwoven (hollow fibers, microfibers) | 55 | 8.5 | |
B2 | 92 | 9.3 | |||
B3 | 119 | 13.2 |
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