Home Thermal and mechanical properties of poly(lactic acid)/poly(butylene adipate-co-terephthalate)/calcium carbonate composite with single continuous morphology
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Thermal and mechanical properties of poly(lactic acid)/poly(butylene adipate-co-terephthalate)/calcium carbonate composite with single continuous morphology

  • Qinghuan Song EMAIL logo
Published/Copyright: December 31, 2022
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Abstract

Poly(lactic acid)/poly(butylene adipate-co-terephthalate) with a content ratio of 90/10, and its calcium carbonate (CaCO3) composites with nano- and micro-sized particles were prepared by melt mixing. The dependence of thermal and mechanical properties of the composites on the particle size and addition content of the CaCO3 filler was investigated. The composite containing five parts micro-sized filler (abbreviated as 90L10B5mC, similarly hereinafter) exhibited α and α′ crystallines on cooling as 90L10B without fillers. 90L10B11mC and 90L10B11n5mC exhibited only α′ crystalline, and the others exhibited no discernible crystalline. Jeziorny method showed that the crystallization mode of poly(lactic acid) chains in different composites was close, and Mo method showed that the crystal growth mode in 90L10B11n5mC was different from others. Changes in thermal and mechanical properties were attributed to the overall connection strength which was dependent on the particle size and addition content of the CaCO3 filler. From the perspective of industrialization, 90L10B5n11mC was preferred.

1 Introduction

As one of biodegradable and renewable materials, poly(lactic acid) (PLA) had attracted lots of attention for its excellent bio-compatibility and mechanical performance (including high strength and high modulus). The wide application of PLA matrix bio-composites was seriously blocked by its poor ductility, low impact strength, low crystallization rate and low crystallization (1). Sustained efforts were put into the modification in the past twenty years and primarily focused on strengthening and toughening (2,3). Reinforcement of PLA was carried out by mixing inorganic fillers or nano-particles like silica (SiO2) (4), titanium dioxide (TiO2) (5), calcium carbonate (CaCO3) (6), talcum powder (talc) (7), montmorillonite (8), and so on. However, the reinforcement could not always be applied with complete satisfaction because the composites remained brittle (9). Therefore, the toughening modification of PLA matrix bio-composites was necessary. Toughening without sacrificing the degradation performance had been the main direction and research hotspot of PLA modification. Toughening of PLA with degradable polyesters such as polycaprolactone (PCL) (10), poly(butylene succinate) (PBS) (11), and poly(butylene adipate-co-terephthalate) (PBAT) (12) was the preferred option. As one of the biodegradable polyester polymers, PBAT had the flexibility of aliphatic hydrocarbon and the rigidity of an aromatic ring, which made it one of the best candidates for PLA toughening (13,14). However, the introduction of PBAT endowed PLA with toughness, but sacrificed its strength. In the literatures, nano-sized CaCO3 particles were used to enhance PBAT (15,16) and PLA/PBAT blend (17,18). The nano-sized CaCO3 particles effectively increased the nucleation density and the crystallization rate of PLA and more than doubled the impact strength (19,20). The PLA/PBAT blend and its CaCO3 composites were prepared by twin-screw extrusion mechanism (21,22). A small amount of PBAT improved the crystallinity of PLA, while a small amount of nano-sized CaCO3 particles reduced the crystallization temperature of PLA. It was found that PLA was partially compatible with PBAT, and the nano-sized particles were selectively distributed in the PBAT phase, while the particles and PBAT had a synergistic toughening effect on PLA.

In addition to the nano-sized particle, the micro-sized CaCO3 was also used to modify PLA/PBAT, but there was less relevant literature (23). In fact, there are many advantages to use micro-sized CaCO3 particles in the field of fully biodegradable plastic bags. Modification of the PLA/PBAT blend with the micro-sized particles was more necessary than that with the nano-sized. The introduction of the macro-sized particles into PLA/PBAT significantly reduced the material cost, minimizing the blend to the price level of PE plastic bags as far as possible. In addition, the particles were easier to disperse in the PLA matrix than the nano-sized. At present, efforts should focus on how to make the performance of PLA/PBAT/micro-sized CaCO3 catch up with that of PLA/PBAT/nano-sized CaCO3.

Generally, the performance was controlled mainly by the crystallization process and composition. This is also true for the PLA/PBAT/CaCO3 composite. However, the effect of micro-sized CaCO3 particles on the composite had not yet been evaluated. In the present study, the composites containing nano- and macro-sized CaCO3 particles were prepared using a melt-mixing method. The melting and crystallization of the composites were investigated using a non-isothermal method, and the crystallization kinetic was further described using Jeziorny and Mo methods. The corresponding mechanical properties were also reported.

2 Experimental section

2.1 Materials

PLA pellets (FY801, density: 1.24 g‧cm−3; melt mass-flow rate = 4 g·10 min−1 at 190°C and 2.16 kg) were purchased from Anhui Fengyuan Co. Ltd. Polybutylene terephthalate/adipate (PBAT) (blow-molding grade) was purchased from Lanshantunhe Co. Ltd. Maleic anhydride-grafted polylactic acid (LGM, G1603) used as the compatibilizer was purchased from Foshan Zuogao plastic materials Co., Ltd. Micro-scaled calcium carbonate (m-CaCO3) powders and nano-scaled calcium carbonate (n-CaCO3) were supplied by Nanzhao Dingcheng calcium industry Co. Ltd. The characteristic parameters are listed in Table 1.

Table 1

Particle size and its distribution of CaCO3 filler

Purity D50 Size distribution Activating agent
n-CaCO3 ≥98.5% 65 nm 1.6 Stearic acid
m-CaCO3 ≥98.5% 5 μm 2.3 Stearic acid

2.2 Preparation of samples

The formulation in the present study is shown in Table 2. The components were dried in a vacuum oven at 60°C for 12 h before use. Each component was taken according to the formulation and then premixed in a mechanical mixer at room temperature at 40 rpm for 5 min.

Table 2

The composite formulations of PLA/PBAT/CaCO3

PLA PBAT LGM n-CaCO3 m-CaCO3
90L10B 90 10 2 0 0
90L10B5nCa 90 10 2 5 0
90L10B11nCa 90 10 2 11 0
90L10B5mCa 90 10 2 0 5
90L10B11mCa 90 10 2 0 11
90L10B5n11mCa 90 10 2 5 11
90L10B11n5mCa 90 10 2 11 5

A twin-screw extruder was used for melt blending and granulation. There were six heating zones at the temperatures between 170°C and 190°C in the extruder. The screw speed was set at 60 rpm, and the braces were naturally cooled. The PLA/PBAT/CaCO3 tablets were pressed and formed in a flat vulcanizer with the temperature set at 183°C and the pressure set at 10 MPa. The tablets were cut into test strips. The thickness of tensile test strip was 2 mm.

The tensile property was tested using an electronic universal testing machine according to GB/T 1040.1-2006. Tensile rate was set at 20 mm·min−1. The test was repeated five times for each sample and took the average value.

2.3 DSC measurements

A differential scanning calorimeter (DSC) (DZ-DSC 300, Nanjing Dazhan Testing Instrument Co., Ltd.) was used to investigate the melting and crystallization behaviors of PLA/PBAT/CaCO3 composites. The samples used for DSC characterization were from the above-mentioned strips. Each sample of 9 ± 1 mg was sealed into an aluminum crucible, and the test was carried out in a nitrogen atmosphere. The heating and cooling rates were set both at 20°C·min−1.

The sample was first heated from 40°C to 210°C and held in the molten state for 5 min. The first heating DSC scan was recorded. The glass transition temperature (T g), cold crystallization temperature (T cc) and cold crystallization enthalpy (∆H cc), melting temperature (T m), and melting enthalpy (∆H m) were obtained from the first heating DSC scans, which reflected the thermal behavior of the nascent sample. The crystallinity (X m) was determined from ∆H cc and ∆H m using Eq. 1:

(1) X m = ( Δ H m Δ H cc ) / ( Δ H m 0 w PLA ) × 100 %

where Δ H m 0 = 93.6 J·g−1 for 100% crystalline PLA (24) and w PLA is mass% of PLA in the sample.

The sample in the molten state was considered to have eliminated the thermal history. The sample without the thermal history was cooled at 20°C·min−1 to 40°C, and the cooling DSC scans were recorded. The melt crystallization temperature (T c) and the corresponding crystallization enthalpy (∆H c) were obtained from the cooling curves. The crystallization half-time (t 1/2) was defined as the time spent from the onset of the crystallization to the point where the crystallization was 50% complete. The onset of the crystallization was labeled as T co. After 3 min at 40°C, the cooled sample was reheated to 210°C, and the second heating DSC scan was also recorded.

2.4 Non-isothermal crystallization kinetics

To observe the non-isothermal crystallization characteristics, the aforementioned DSC technology was used. The sample was heated to 210°C at a heating rate of 20°C·min−1 and held for 5 min in a nitrogen atmosphere. Subsequently, the sample was cooled down to room temperature at cooling rates of −4, −6, −8, and −10°C·min−1. In the non-isothermal crystallization process, the crystallization temperature and crystallization time were transformed by Eq. 2:

(2) t = ( T o T ) / φ

where t was the crystallization time, T o was the initiate crystallization temperature, T was the temperature at time t, and φ was the cooling rate (°C·min−1).

2.5 SEM observation

The fractured surfaces of the impact bars were coated with gold and observed in a scanning electron microscope (Regulus 8100, Hitachi, Japan).

3 Results and discussion

3.1 Melting and crystallization behaviors

The morphology of the PLA/PBAT blend was reported in literatures. Deng et al. (25) presented a schematic diagram showing the phase morphology of the PBAT/PLA blend over a full range of composition, as deduced from the melt viscosity, optical micro graph, tensile properties, and SEM fracture surfaces. PBAT and PLA formed bicontinuous phase in the composition range between 19.0 and 40 wt% in the schematic diagram. Li et al. (26) observed PBAT spherical droplets dispersed in a PLA matrix when the PBAT content was lower than 20 wt%. In the present study, the effect of the CaCO3 filler on the thermal behavior of the composite with the PLA and PBAT content ratio of 90–10 was investigated, and the corresponding DSC scanning curves were recorded and are shown in Figure 1a–c when heating and cooling were carried out at 20°C·min−1.

Figure 1 
                  DSC scans of PLA/PBAT blend and PLA/PBAT/CaCO3 composites for both heating and cooling at 20°C·min−1: (a) the first heating, (b) cooling, and (c) the second heating.
Figure 1

DSC scans of PLA/PBAT blend and PLA/PBAT/CaCO3 composites for both heating and cooling at 20°C·min−1: (a) the first heating, (b) cooling, and (c) the second heating.

The nascent samples of 90L10B and its CaCO3 composites went through the glass transition, cold crystallization and melting in the first heating from 40°C to 200°C as shown in Figure 1a. The diverse curve shapes showed that either the particle size of the CaCO3 filler or the content ratio of n-CaCO3 and m-CaCO3 particles had an effect on the melting and crystallization of the composites. PBAT is a random copolyester and therefore does not have a sufficiently symmetrical structure to give high levels of crystallinity. Generally, PBAT has a very broad and shallow endotherm around 100–120°C, indicating some crystallization of PBAT (25). However, the low content of PBAT in the present study made the PBAT endotherm more easily masked by the crystallization and melting of PLA. Therefore, it was reasonable to attribute the endotherm and exotherm in the DSC scanning to the PLA phase in the study. The exothermic peak around 80–120°C was attributed to the cold crystallization of PLA. The endothermic peak around 150–175°C was due to the PLA melting. The characteristic parameters coming from the DSC scanning are given in Table 3.

Table 3

Parameters derived from the first heating DSC scans

T g (℃) T cc (℃) H cc (J·g−1) X cc (%) T m (℃) H m (J·g−1) X m (%)
90L10B 61.9 106 6.78 8.1 165 13.1 15.7
90L10B5nC 69.4 107 3.81 4.5 170 17.2 20.5
90L10B11nC 63.5 105 6.30 7.5 167 10.8 12.9
90L10B5mC 64.5 101 1.90 2.3 164 13.2 15.8
90L10B11mC 63.0 105 4.63 5.5 167 7.70 9.2
90L10B5n11mC 63.0 108 4.22 5.0 167 7.20 8.6
90L10B11n5mC 64.7 100 1.71 2.0 166 9.63 11.5

It was found by Yang et al. that the glass transition temperatures of PLA and PBAT did not change significantly after blending, indicating that the compatibility between the PLA and PBAT was poor (27). Compared with 90L10B without the filler, the addition of the CaCO3 particles significantly increased T g of PLA as shown in Table 3, regardless of whether the particle size was nano-sized or micro-sized.The significant increase in glass transition temperature in the present study should be attributed to the introduction of CaCO3 particles into the composites. As the CaCO3 particles were activated by stearic acid in the present study, the ester was formed on the surface of the particles. The formed ester underwent transesterification with PLA and PBAT during melt mixing, thus establishing a connection between CaCO3 particles and the matrix. Both n-CaCO3 and m-CaCO3 particles in the composites were strongly connected to PLA chains by transesterification during melt mixing, which reduced the motility of the PLA chain segments. The highest T g at 69.4°C in 90L10B5nCa implied a more efficiently blocking effect of n-CaCO3 particles on the motility of the PLA chain segments in the composite. Accordingly, the strong connection between five parts n-CaCO3 and PLA also made the nucleation of n-CaCO3 more effective. The strong connection and effective nucleation improved the melting temperature and crystallinity of PLA, and maximized them in 90L10B5nC as shown in Tables 3 and 4.

Table 4

Parameters derived from the cooling DSC scans

T c (℃) T co (℃) t 1/2 (min) H c (J·g−1) T α c (℃)
90L10B 89.2 74.4 0.66 0.56 126.0
90L10B5nC
90L10B11nC
90L10B5mC 93.1 79.1 0.73 2.42 123.7
90L10B11mC 94.2 77.0 0.81 2.98
90L10B5n11mC
90L10B11n5mC 94.5 82.4 0.63 3.70

The cooling DSC scans at 20°C·min−1 were recorded after the first heating as shown in Figure 1b. The samples without thermal history were divided into three types based on the PLA crystallization shown in Figure 1b. The first type involved 90L10B and 90L10B5mC with double peaks of crystallization, the second one 90L10B11mC and 90L10B11n5mC with sole crystallization peak, and the third one 90L10B5nC, 90L10B11nC and 90L10B5n11mC without crystallization peak. It is well understood that PLA is a polymorphous polymer. PLA exhibits two different crystalline phases termed α and α′. And α′ was described as a disordered form of the stable α phase. Differences between the crystalline structures were associated to chain conformation and packing mode of chains between the disordered and ordered forms. Crystallization at temperatures below 100°C lead predominately to the α′ crystalline form whereas at temperatures above 120°C, the α phase was the main form (2830). Within the 100–120°C range, a mixture of these crystalline phases was present. Different thermal properties for α′ and α phases stem from the structural difference and interchain interactions (31,32). The double crystallization peaks at high and low temperature in 90L10B and 90L10B5mC were attributed to α and α′ phase, respectively.

But the crystallization temperatures attributed to α′ and α phases in 90L10B without the filler were different from those in 90L10B5mC with five parts m-CaCO3 particles as shown in Figure 1b, respectively. The increase in α′ crystallization temperature from 89.2°C to 93.1°C was owing to the heterogeneous nucleation of m-CaCO3 particles in 90L10B5mC, and the decrease in α crystallization temperature from 126°C to 123.7°C was attributed to the blocking effect of the connection between CaCO3 particles and the matrix on the mobility of PLA chains. The sole exotherm around 94.2°C and 94.5°C in 90L10B11mC and 90L10B11n5mC, respectively, indicated that the connection completely blocked the ordered arrangement of PLA chains, but made the chains low orderly arranged on cooling at 20°C·min−1. Further, the low order of arrangement was completely blocked in 90L10B5nC, 90L10B11nC, and 90L10B5n11mC as shown in Figure 1b. The strong blocking effect was attributed to the huge specific surface area of n-CaCO3 particles, correspondingly resulting in the tight connection to the matrix. Higher n-CaCO3 amounts were less effective as they tended to agglomerate in 90L10B11n5mC, and the aggregation made the blocking effect of the connection was discounted in the composite compared with that in 90L10B5n11mC. The blocked PLA chains orderly rearranged in the second heating, so that the cold crystallization occurred, and the corresponding melting occurred at a higher temperature as shown in Figure 1c. In case of 90L10B5mC, 90L10B11mC, and 90L10B11n5mC, there were discernible crystallization exotherm as shown in Figure 1b. On subsequent heating, no crystallization peak was observed as shown in Figure 1c since the PLA was already crystallized to its maximum in the cooling cycle.

3.2 Non-isothermal crystallization of 90L10B and its composites with CaCO3 particles

In order to further describe the α′ crystallization behaviour of the composites, the non-isothermal method was used in the differential scanning calorimeter. The cooling rate was set at −4, −6, −8, and −10°C·min−1 at 20°C·min−1 after melting. The DSC scans are presented in Figure 2. X t versus time is shown in Figure 3. Here, X t was defined as the X c at time t. The characteristic parameters shown in Figures 2 and 3 are listed in Table 5.

Figure 2 
                  DSC thermograms of PLA/PBAT blend and PLA/PBAT/CaCO3 composites for cooling at the scan rate of (a) −4°C·min−1, (b) −6°C·min−1, (c) −8°C·min−1, and (d) −10°C·min−1.
Figure 2

DSC thermograms of PLA/PBAT blend and PLA/PBAT/CaCO3 composites for cooling at the scan rate of (a) −4°C·min−1, (b) −6°C·min−1, (c) −8°C·min−1, and (d) −10°C·min−1.

Figure 3 
                  Plots of X
                     
                        t
                      versus t at cooling rates of −4, −6, −8, and −10°C·min−1 for (a) AB, (b) ABCa-m5, (c) ABCa-m11, and (d) ABCa-n11m5.
Figure 3

Plots of X t versus t at cooling rates of −4, −6, −8, and −10°C·min−1 for (a) AB, (b) ABCa-m5, (c) ABCa-m11, and (d) ABCa-n11m5.

Table 5

Characteristic parameters coming from DSC scans

Samples Φ (℃·min−1) T c (℃) t 1/2 (min) T α c (℃)
90L10B −4 91.3 3.23 122.3
−6 91.3 3.28 122.2
−8 91.8 3.19 122.4
−10 91.4 3.15 122.3
90L10B5mC −4 99.8 3.75 122.9
−6 90.6 2.21 122.7
−8 91.5 1.55 122.3
−10 91.3 1.15 122.3
90L10B11mC −4 92.8 4.14
−6 91.6 2.02
−8 92.2 1.55
−10 92.4 1.15
90L10B11n5mC −4 92.0 2.78
−6 91.9 1.91
−8 91.8 1.52
−10 91.6 1.31

T α c of α crystalline of 90L10B and 90L10B5mC remained stable between 122°C and 123°C with increase of the cooling rate from −2 to −10°C·min−1, which was lower than that at a more rapid cooling rate of −20°C·min−1 as shown in Table 4. The half time of crystallization, t 1/2, defined as the time required to reach 50% of the α′ final crystallinity. t 1/2 of each of the samples decreased with increasing of the cooling rate from −2 to −10°C·min−1 as shown in Table 6. However, there was only a small reduction in t 1/2 of 90L10B, which was consistent with the coinciding curves in Figure 3a. This indicated that the PLA chains in 90L10B were more mobile than those in the CaCO3 composites and could keep up with the cooling rate increasing.

Table 6

Parameters derived from the second heating DSC scans

T cc (℃) H cc (J·g−1) X cc (%) T m (℃) H m (J·g−1) X m (%)
90L10B 116.7 6.65 7.9 161 17.7 21.0
90L10B5nC 123.1 9.05 10.7 167 18.5 22.0
90L10B11nC 121.1 6.01 7.1 167 16.1 19.1
90L10B5mC 164 16.6 19.7
90L10B11mC 162 14.3 17.0
90L10B5n11mC 110.9 2.41 2.9 161 13.7 16.2
90L10B11n5mC 166 8.24 9.8

3.3 Jeziorny method

The α′ crystallization behavior was further investigated using Jeziorny method. The isothermal crystallization kinetic was widely described by the Avrami model (19) in which X t was expressed in the following form:

(3) 1 X t = exp ( Z t t n )

where n is the Avrami crystallization exponent and dependent on the nucleation mechanism and growth dimensions; t is the crystallization time, and Z t is the crystallization rate constant, which depended on the nucleation and growth of crystal. The above equation can be rewritten into a linear equation:

(4) ln [ ln ( 1 X t ) ] = ln Z t + n lnt

However, the Avrami model was not suitable for non-isothermal crystallization because the temperature constants varied and both nucleation and growth of crystal were temperature dependent. Jeziorny proposed that Z t was affected by the cooling rate ( φ ) and was verified by having a cooling rate term as shown in Eq. 5 (33):

(5) ln ( Z c ) = ln ( Z t ) φ

where Z c is the corrected Jeziorny crystallization constant. According to Eq. 4, n and Z t were obtained from the slope and intercept of the curve between ln[ln (1−X t )] and lnt shown in Figure 4. Then, the value of Z c was calculated using Eq. 4. The values of n and Z c were listed in Table 7.

Figure 4 
                  Avrami plots for (a) AB, (b) ABCa-m5, (c) ABCa-m11, and (d) ABCa-n11m5.
Figure 4

Avrami plots for (a) AB, (b) ABCa-m5, (c) ABCa-m11, and (d) ABCa-n11m5.

Table 7

Parameters of non-isothermal crystallization for AB, ABCa-m5, ABCa-m11, and ABCa-n11m5

Samples Φ (℃·min−1) n Average n lgZ t Z c r 2
AB −4 2.29 2.28 −1.26 0.055 0.9869
−6 2.46 −0.94 0.115 0.9917
−8 2.18 −0.50 0.316 0.9698
−10 2.20 −0.27 0.537 0.9830
ABCa-m5 −4 2.23 2.41 −1.39 0.041 0.9775
−6 3.07 −1.20 0.063 0.9953
−8 2.14 −0.52 0.302 0.9761
−10 2.21 −0.23 0.589 0.9767
ABCa-m11 −4 2.32 2.39 −0.80 0.158 0.9760
−6 2.42 −1.56 0.028 0.9764
−8 2.38 −0.55 0.282 0.9762
−10 2.42 −0.28 0.525 0.9803
ABCa-n11m5 −4 2.39 2.65 −1.16 0.069 0.9776
−6 2.38 −0.77 0.170 0.9748
−8 2.80 −0.62 0.240 0.9851
−10 3.03 −0.53 0.295 0.9986

Compared with that of 90L10B, the n values of 90L10B5mC, 90L10B11mC, and 90L10B11n5mC increased slightly, and the n value did not change regularly with increase in the cooling rate for each of the composites, indicating that their nucleation patterns were close to each other. As for the crystallization rate, Z c of each of the composites almost always increased significantly as the cooling rate increased, which was consistent with the parameters in Table 5.

3.4 Mo method

Assuming that the non-isothermal crystallization process was a small step of isothermal crystallization by developing Avrami’s theoretical model, Ozawa’s theoretical model was used to describe the non-isothermal crystallization. The fractional crystallinity ( X t ) of time t was shown in Eq. 6:

(6) X t = [ 1 exp ( K o m / φ ) ]

The linear form of this equation was more commonly used as Eq. 7:

(7) ln [ ln ( 1 X t ) ] = ln ( K o ) m ln ( φ )

where m and K o were obtained from the slope and interception on the y-axis of the graph from the relationship between ln [ ln ( 1 X t ) ] and ln ( φ ) , respectively.

Mo’s method combined Avrami equation with Ozawa equation to describe non-isothermal crystallization process. Mo equation was as follows:

(8) ln φ = ln F ( T ) γ ln t

where F ( T ) is the Mo-modified crystallization rate parameter, γ is the ratio of n in Avrami equation to m in Ozawa equation, which related to crystallization dimension. Obviously, plotting ln φ versus ln t at a given value of relative crystallinity yielded a series of straight lines, as shown in Figure 5. Then, F ( T ) and γ were obtained from the intercept and slope of the straight lines. Table 8 lists the parameters obtained from the plots of ln φ versus ln t for all samples listed in Table 2. It showed that all plots exhibited good linear relationship which indicated that Mo’s method was fit to describe the non-isothermal crystallization kinetics in this study.

Figure 5 
                  Plots of 
                        
                           
                           
                              lg
                              φ
                           
                           \mathrm{lg}\varphi 
                        
                      versus 
                        
                           
                           
                              lgt
                           
                           {lgt}
                        
                      for the cold crystallization of (a) AB, (b) ABCa-m5, (c) ABCa-m11, and (d) ABCa-n11m5.
Figure 5

Plots of lg φ versus lgt for the cold crystallization of (a) AB, (b) ABCa-m5, (c) ABCa-m11, and (d) ABCa-n11m5.

Table 8

Mo’s parameters for the crystallization of AB, ABCa-m5, ABCa-m11, and ABCa-n11m5

Samples X t (%) F (T) ɑ r 2
AB 20 2.44 0.92 0.9944
30 2.64 0.92 0.9955
50 2.94 0.92 0.9964
60 3.07 0.92 0.9968
80 3.35 0.92 0.9971
ABCa-m5 20 2.46 0.77 0.9966
30 2.61 0.77 0.9989
50 2.85 0.78 0.9995
60 2.96 0.78 0.9988
80 3.19 0.78 0.9943
ABCa-m11 20 2.47 0.73 0.9592
30 2.61 0.73 0.9645
50 2.82 0.73 0.9700
60 2.91 0.73 0.9720
80 3.12 0.75 0.9756
ABCa-n11m5 20 3.94 0.43 0.9562
30 3.86 0.35 0.9593
50 3.71 0.26 0.9535
60 3.68 0.23 0.9546
80 3.61 0.18 0.9475

As shown in Table 8, the obtained F(T) increased with an increase in X t , but the γ value hardly changed in the samples without n-CaCO3 particles involving 90L10B, 90L10B5mC, and 90L10B11mC except for 90L10B11n5mC. This indicated that the faster the cooling rate, the higher the α′ crystallinity achieved in unit crystallization time, and the crystallization mode did not change at different cooling rates. In other words, the achievement of higher X t required faster cooling rate in each of the samples. On the other hand, the γ values of 90L10B5mC and 90L10B11mC were closer and both were lower than that of 90L10B, indicating that α′ crystals grew in the same way in 90L10B5mC and 90L10B11mC, but in a different way from that in 90L10B. The above-mentioned analysis showed that the Mo method was suitable for describing the α′ crystallization in 90L10B, 90L10B5mC, and 90L10B11mC.

Different from the earlier samples, F(T) and the γ value of 90L10B11n5mC decreased with the increase of X t . This indicated that the achievement of higher X t required slower cooling rate in the sample. This difference between 90L10B11n5mC and the others was presumably due to the presence of n-CaCO3 particles in 90L10B11n5mC.

3.5 Tensile property analysis

Tensile testing was used to determine the mechanical properties of 90L10B and its CaCO3 composites. The results are shown in Figure 6a–d. The structure in the composites is usually considered to involve three components: dispersed filler, continuous phase, and interface. A strong connection among the components ensured that external forces were transferred to the dispersed filler, so that the mechanical properties were significantly improved. Therefore, the strong connection at the interface was necessary to obtain high mechanical properties. The relatively high tensile modulus and strength of 90L10B5nC should be attributed to this strong connection of PLA and n-CaCO3 particles at the interface.

Figure 6 
                  
                     (continued)
Figure 6 
                  
                     (continued)
Figure 6

(continued)

As shown, 90L10B5nC exhibited the highest tensile properties involving the tensile modulus, strength, and yield strength in the present study, owing to the strong connection between the five parts n-CaCO3 particles and the PLA matrix. In contrast, 90L10B11nC had lower tensile properties, which indicated that the increased amount of n-CaCO3 was not beneficial to the improvement of mechanical properties. The decrease in tensile properties of 90L10B11nC was owing to the tendency of the nano-sized particles to aggregate at a high concentration, which reduced the overall connection strength between the filler and the PLA matrix. The decrease in other composites compared to 90L10B5nC was also attributed to the decrease in the overall connection strength. As for 90L10B5mC and 90L10B11mC without n-CaCO3, the lower tensile strength stemmed from the low specific surface area of m-CaCO3 particles compare with the n-CaCO3 particles, which decreased the overall connection strength between the micro-sized filler and the PLA matrix. But the connection strength decreasing was obviously beneficial to the improvement of impact strength of the composites as shown in Figure 6e. 90L10B11mC and 90L10B5n11mC with the connection decreasing had the highest impact strength.

3.6 SEM observation

Figure 7 shows SEM micrographs of the fractured surface of impact test strips of PLA/PBAT/CaCO3 composites. In Figure 7a, the fractured surface displayed “sea-island” structure with PBAT beads dispersing in the PLA matrix, and some beads were detached from the matrix after the impact test. However, the interface between PLA and PBAT phases was ambiguous, which was attributed to the compatibilization of LGM in 90L10B. The comparison of micrographs in Figure 7b and c showed that excessive n-CaCO3 particles in 90L10B10nCa caused accumulation, which reduced the mechanical properties compared with 90L10B5nCa. In Figure 7b, the coarse fractured surfaces indicated a strong adhesion between CaCO3 particles and PLA matrix. Like that of 90L10B5nCa, the fractured surface of 90L10B5mCa was also coarse as shown in Figure 7d, while excessive m-CaCO3 particles tended to gather together in Figure 7e, just as excessive n-CaCO3 particles tended to gather together as in Figure 7c. Although the fractured surfaces of both 90L10B5n11mCa and 90L10B11n5mCa were rough as shown in Figure 7f and g, the morphology was different from each other, which probably resulted the difference in the thermal and mechanical properties.

Figure 7 
                  SEM images of the impact-fractured surfaces of PLA/PBAT/CaCO3 composites: (a) 90L10B, (b) 90L10B5nCa, (c) 90L10B10nCa, (d) 90L10B5mCa, (e) 90L10B10mCa, (f) 90L10B5n10mCa, and (g) 90L10B11n5mCa.
Figure 7

SEM images of the impact-fractured surfaces of PLA/PBAT/CaCO3 composites: (a) 90L10B, (b) 90L10B5nCa, (c) 90L10B10nCa, (d) 90L10B5mCa, (e) 90L10B10mCa, (f) 90L10B5n10mCa, and (g) 90L10B11n5mCa.

4 Conclusion

Melting and crystallization of PLA/PBAT in the presence of nano- and micro-sized CaCO3 particles were investigated using non-isothermal conditions. The thermal and mechanical properties of the composites were dependent on the particle size and amount of the CaCO3 filler. The dependence stemmed from the total strength of the connection between the filler and the matrix at the interface. Changes in the connection strength caused changes in the motility of the PLA chains in the matrix, which in turn lead to changes in the properties of the composite.

The strong connection blocked the PLA chains from arranging themselves in an orderly manner on cooling, preventing the formation of α crystalline, only α′ crystalline, such as in 90L10B11mC and 90L10B11n5mC. A less strong connection allowed α and α′ crystalline to simultaneously exist in the composite such as 90L10B5mC and even 90L10B without the filler–matrix connection. A stronger connection blocked the formation of not only α crystalline but also α′ crystalline such as in 90L10B5nC, 90L10B11nC, and 90L10B5n11mC. As for the crystallinity, it was simultaneously related to both the motility of PLA chains and the nucleation of the CaCO3 filler. Although it reduced the motility of PLA chains, the strong connection also increased the nucleation of the filler. Thus, the highest crystallinity was achieved when the connection strength was appropriate, for example, in 90L10B5nC. However, the investigation using Jeziorny method indicated that the nucleation pattern of the CaCO3 filler was close to each other in the PLA/PBAT/CaCO3 composites. The further investigation using Mo method indicated that the crystal growth pattern in 90L10B11n5mC was different from the one in 90L10B, 90L10B5mC, and 90L10B11mC. This particular pattern caused 90L10B11n5mC to have the lowest crystallinity at −20°C·min−1 high-speed cooling. In addition, the impact strength of the high crystalline 90L10B5nC was lower than that of the less crystalline 90L10B11mC and 90L10B5n11mC.

Considering various aspects such as material cost, ease of production, and performance, 90L10B5n11mC was preferentially recommended, which simultaneously contained five parts nano-sized CaCO3 particles and 11 parts micro-sized.

Acknowledgements

The authors thank Henan Hairuixiang Technology Co., Ltd. for providing convenience for this study.

  1. Funding information: This study was supported by the Provincial Scientific Project of Henan (Grant No. 172102210228) and the Innovation Fund of Henan Hairuixiang Technology Co., Ltd (Grant No. 2021001).

  2. Author contributions: Qinghuan Song: solely responsible for the entire work.

  3. Conflict of interest: The author states no conflict of interest.

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Received: 2022-10-25
Revised: 2022-12-05
Accepted: 2022-12-05
Published Online: 2022-12-31

© 2022 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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