Thermal Insulation and Mechanical Properties of Polylactic Acid (PLA) at Different Processing Conditions

Barkhad, Mohamed Saeed; Abu-Jdayil, Basim; Mourad, Abdel‐Hamid I.; Iqbal, Muhammad

doi:10.3390/polym12092091

Cited by 40 publications

(24 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The slight decrease in the decomposition temperature of PLA is associated with the high thermal conductivity of graphite and graphene [ 22 ]. The presence of graphite filler facilitates heat transfer in the sample volume [ 23 , 24 , 25 ], thereby reducing the thermal decomposition temperature. High thermal conductivity begins to play a significant role at high graphite filler concentrations.…”

Section: Resultsmentioning

confidence: 99%

Impact of the Graphite Fillers on the Thermal Processing of Graphite/Poly(lactic acid) Composites

et al. 2021

View full text Add to dashboard Cite

To assess the impact of graphite fillers on the thermal processing of graphite/poly(lactic acid) (PLA) composites, a series of the composite samples with different graphite of industrial grade as fillers was prepared by melt mixing. The average size of the graphite grains ranged between 100 µm and 6 µm. For comparative purposes, one of the carbon fillers was expandable graphite. Composites were examined by SEM, FTIR, and Raman spectroscopy. As revealed by thermogravimetric (TG) analyses, graphite filler slightly lowered the temperature of thermal decomposition of the PLA matrix. Differential scanning calorimetry (DSC) tests showed that the room temperature crystallinity of the polymer matrix is strongly affected by the graphite filler. The crystallinity of the composites determined from the second heating cycle reached values close to 50%, while these values are close to zero for the neat polymer. The addition of graphite to PLA caused a slight reduction in the oxidation induction time (OIT). The melt flow rate (MFR) of the graphite/PLA composites was lower than the original PLA due to an increase in flow resistance associated with the high crystallinity of the polymer matrix. Expandable graphite did not cause changes in the structure of the polymer matrix during thermal treatment. The crystallinity of the composite with this filler did not increase after first heating and was close to the neat PLA MFR value, which was extremely high due to the low crystallinity of the PLA matrix and delamination of the filler at elevated temperature.

show abstract

Section: Resultsmentioning

confidence: 99%

Impact of the Graphite Fillers on the Thermal Processing of Graphite/Poly(lactic acid) Composites

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Nevertheless, the shortening of operating time is desirable from an economic point of view. Barkhad et al 172 reported that increase in the annealing time (exposure of PLA 3 film to a temperature of 95°C) in the range of 0–24 h led to a considerable increase in material thermal conductivity from 0.0643 to 0.0904 W/m∙K and its T g from 53 to 59°C. Li et al 179 reported that annealing time greatly affected crystalline morphologies of synthesized PLA film at the temperature of 102°C.…”

Section: Effect Of Process Variables On Pla‐based Materialsmentioning

confidence: 99%

“…Blending of PLA with other polymers has been suggested for creation of materials with tailored mechanical, thermal, viscoelastic, and biodegradation properties 56,74,75,78,82,86,117,120,122,128–130,132,172,185 . Milovanovic et al 117 reported that the addition of 5 wt% PCL to PLA 2 film favored sorption of scCO 2 , decreased degradation temperature from 379.3 to 374.1°C, and T m from 161 to 154°C.…”

Section: Effect Of Process Variables On Pla‐based Materialsmentioning

confidence: 99%

Tailoring of advanced poly(lactic acid)‐based materials: A review

Milovanović

Pajnik

Lukić

2021

J of Applied Polymer Sci

View full text Add to dashboard Cite

Poly(lactic acid) (PLA) stands out as the most promising biodegradable alternative to conventional petrochemical‐based polymers for manufacturing of high‐performance materials applied in medicine, pharmacy, food, textile, and electronic industry. This review was aimed to present the conventional and up‐to‐date technologies for PLA processing including melt blending and molding, hot melt extrusion, 3D printing, foaming, impregnation, thermally induced phase separation, nano‐ and microparticles preparation, wet and dry spinning processes. In addition, the effect of the processing parameters and polymer characteristics on the properties of the final material was elaborated. Diverse possibilities to tailor properties of PLA‐based materials by variation in polymer characteristics and concentration, solvent selection, drying method, processing pressure and temperature, incorporation of bioactive components, and so on were highlighted. The examples of the relations between processing methods, parameters, and end‐product properties are given for a better understanding of all aspects that need to be perceived for fabrication of PLA‐based materials with required performances.

show abstract

“…Moreover, both polypropylene and polyethylene are widely used in developing implants, as they are easy to be molded to the desired shape, and are inexpensive [104][105][106][107]. They have been known to initiate a minimal immune response, and have superior mechanical (i.e., viscoelastic) properties and biocompatibility [108][109][110]. Particularly, both PLA and PCL can be modi ed to exhibit viscoelastic properties required for mimicking cartilages [111][112][113][114][115].…”

Section: Multinomial Logistic Regression (Mnlr)mentioning

confidence: 99%

Accelerated Discovery of the Polymer Matrix for Cartilage Repair Through Machine Learning Algorithms

Mairpady

Mourad

Mozumder

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Cartilage repair is one of the most challenging tasks for the orthopedic surgeons and researchers. The primary challenge lies on the fact that the development of the extracellular matrixes requires specialized cells known as chondrocytes which are sparse in numbers. Chondrocytes’ minimal self-renewal capacity makes it further troublesome and expensive to repair the cartilages. In designing successful substitutes for the cartilages, the selection of materials used for the scaffold fabrication plays the central role among several other important factors in order to ensure the success of the survival and proliferation of any biomaterial substitutes. Since last few decades, polymer and polymers' combination have been extensively used to fabricate such scaffolds and have shown promising results in terms of mechanical integrity and biocompatibility. In an empirical approach, the selection of the most appropriate polymer(s) for cartilage repair is an expensive and time-consuming affair, as traditionally, it requires numerous trials. Moreover, it is humanly impossible to go through the huge library of literature available on the potential polymer(s) and to correlate their physical, mechanical and biological properties that might be suitable for cartilage tissue engineering. With the advancement of machine learning, material design may experience a significant reduction in experimental time and cost. The objective of this study is to implement an inverse design approach to select the best polymer(s) or composites for cartilage repair by using the machine learning algorithms, such as random forest regression (i.e., regression trees) and the multinomial logistic regression. In these algorithms, the mechanical properties of the polymers, which are similar to the cartilages, are considered as the input and the polymer(s)/composites are the predicted output. According to the random forest regression and multinomial logistic regression, the polymer(s)/composites (i.e., the output) having the closest characteristics of the articular cartilages were found to be a composite of polycaprolactone and poly(bisphenol A carbonate) and a blend of polyethylene/polyethylene-graft-poly(maleic anhydride), respectively. These composites exhibit similar biomechanical properties of the natural cartilages and initiate only minimal immune responses in the body environment.

show abstract

Thermal Insulation and Mechanical Properties of Polylactic Acid (PLA) at Different Processing Conditions

Cited by 40 publications

References 31 publications

Impact of the Graphite Fillers on the Thermal Processing of Graphite/Poly(lactic acid) Composites

Impact of the Graphite Fillers on the Thermal Processing of Graphite/Poly(lactic acid) Composites

Tailoring of advanced poly(lactic acid)‐based materials: A review

Accelerated Discovery of the Polymer Matrix for Cartilage Repair Through Machine Learning Algorithms

Contact Info

Product

Resources

About