Implementation of natural fillers in polyethylene and the resulting mechanical properties

Dockal, Adam; Ovsík, Martin; Fluxa, Petr; Staněk, Michal; Senkerik, Vojtech

doi:10.17222/mit.2019.154

Cited by 3 publications

(3 citation statements)

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“…Nanocomposites created by combining polyethylene and carbon nanotubes. To complete the process, the model needs to consider the production process for polyethylene-carbon nanotube composites [41,42]. One of the biggest challenges in developing and using filled polyethylene is getting a uniform distribution of Carbon Nanotubes in the matrix by eliminating the Vander Waals interface among the individual tubes [43,44].…”

Section: Figure 2 Transmission Electron Microscopic Of Carbon Nanotubesmentioning

confidence: 99%

Artificial Intelligence for Mechanical Properties Prediction of Polyethylene-Carbon Nanotube Composites

Serrano,

Ulloa,

Flores

et al. 2024

MMEP

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The novel class of composite materials known as polyethylene-carbon nanotube composites (PECNTs) has attracted significant interest from scientists. In this study, authors investigated how artificial intelligence (AI) is employed to calculate the elastic modulus of PECNTs. For the first time, an AI-based modeling methodology replaces nanoindentation techniques like depth sensing indentation (DSI). This study highlights the complexities inherent in traditional methods, where the proposed methodology utilizes a gene expression programming (GEP) model, addressing challenges associated with accuracy in PECNT simulation. The proposed AI model test uses 135 input/output data pairs taken from the literature and randomly split into 82 training and 53 testing sets. The elastic modulus (EM) whichever dynamic E′ or quasi-static E) employs as an output factor in the models created, with the method of analysis, matrix type, processing technique, nanofiller type, and its content serving as inputs. Though the modeling progression is complete with results from the training and testing sets, the nanometer sensitivity of the prominent designs of the AI model displayed significant promise for the effective application of artificial intelligence methods in measuring the elastic modulus of PECNTs through non-destructive testing.

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Section: Figure 2 Transmission Electron Microscopic Of Carbon Nanotubesmentioning

confidence: 99%

Artificial Intelligence for Mechanical Properties Prediction of Polyethylene-Carbon Nanotube Composites

Serrano,

Ulloa,

Flores

et al. 2024

MMEP

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“…Mechanical properties of wood polymer composite (beech wood and low-density polyethylene) were investigated by the microindentation method by Dockal et al [44]. The implementation of natural fillers -finely ground wood, coarsely ground wood and slate, increased the mechanical performance up to 100 %, e.g., hardness and modulus, when compared to the properties of the polyethylene without lignocellulosic fillers.…”

Section: Other Microindentation Application In Research Of Wood and W...mentioning

confidence: 99%

Instrumented microindentation – a versatile technique in the field of wood science and technology

Petrič

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Hardness is an important mechanical property of wood or other wood-based materials and it is also very important in the case of wood coatings. Different indentation methods for measurements of hardness and other mechanical properties have been utilised already for a long time. In the last 50 years the instrumented indentation was developed. Here, an indenter tests the surface of a specimen with a controlled load and movement, in order to assess its mechanical properties. Three ranges of instrumented indentation tests are distinguished. In the macro range, the force is higher than 2 N, in the micro range it is below 2 N and the depth of indentation must exceed 0.2 μm. When the indentation depth is lower than 0.2 μm, the indentation technique is called nanoindentation. There can be found thousands of scientific papers about applications of instrumented nanoindentation in research of a large variety of materials. Instrumented microindentation remained somehow in the shadow of nanoindentation, but yet, it is a highly versatile technique with potentials to study various (micro)mechanical properties. In this review, examples of possible applications of instrumented microindentation are presented, with a focus on investigations of wood, wood-based composites, surface coated wood and polymeric films. In the second part of this paper, as an illustration, investigations of a self-healing wood paint are shown. The cyclic method and a single-load indentation confirmed the different mechanical properties and good scratch resistance of the self-healing paint.

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“…However, the plastic waste persists for a long time after disposal causing negative impacts on the environment. The incorporation of natural fillers or biodegradable polymers, such as poly (3-hydroxybutirate) (PHB) is a viable alternative to generate more ecofriendly LDPE-based materials [14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Effect of mercerization on the properties and biodegradation behavior of LDPE and LDPE/PHB hybrid composites filled with castor bean cake

Rocha

Sanches

Acevedo

et al. 2023

Plastics, Rubber and Composites

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The aim of this study is to evaluate the effect of mercerization of castor cake on the tensile and biodegradation behaviour of LDPE and LDPE/PHB composites. Polymer composites filled with raw castor cake (CC) and castor cake treated with 5% NaOH solution (MCC) were developed and the tensile and biodegradation behaviour of the materials obtained were evaluated. The incorporation of mercerized fibers to polymeric matrices generated materials with an elastic modulus superior to that of LDPE and tensile strength values close to that of LDPE. The biodegradation rates of the polymer composites increased the addition of fibers. However, alkali-treated fibres had a less pronounced effect biodegradation rates of the polimeric composites, due to the lower tendency of mercerized fibers to absorb water. The 85/10/5 LDPE/PHB/CC composite showed greater mass loss, 3.1%, than the 85/10/5 LDPE/ PHB/ MCC composite, respectively, 0.9%, in 180 days.

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Implementation of natural fillers in polyethylene and the resulting mechanical properties

Cited by 3 publications

References 0 publications

Artificial Intelligence for Mechanical Properties Prediction of Polyethylene-Carbon Nanotube Composites

Artificial Intelligence for Mechanical Properties Prediction of Polyethylene-Carbon Nanotube Composites

Instrumented microindentation – a versatile technique in the field of wood science and technology

Effect of mercerization on the properties and biodegradation behavior of LDPE and LDPE/PHB hybrid composites filled with castor bean cake

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