Experimental study on tribological (dry sliding wear) behaviour of polyester matrix hybrid composite reinforced with particulate wood charcoal and periwinkle shell

Edoziuno, Francis Odikpo; Akaluzia, R.O.; Odoni, B.U.; Edibo, S.

doi:10.1016/j.jksues.2020.05.007

Cited by 16 publications

(17 citation statements)

References 26 publications

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“…RSM is also used in the creation and analysis of quantitative data and multi‐factor models to model experimental studies. These models, provide a graphical representation of the response model: Serve to explain the relationship between variables, the combined effect of response surface factors, and how different factors affect the response 29–34 …”

Section: Resultsmentioning

confidence: 99%

“…These models, provide a graphical representation of the response model: Serve to explain the relationship between variables, the combined effect of response surface factors, and how different factors affect the response. [29][30][31][32][33][34] The graph in Figure 6 shows that the density of the biocomposite decreased with the waste PE reinforcement. Besides, as the Ct increased, the density of the biocomposite tended to raise.…”

Section: Response Surface Methodologymentioning

confidence: 99%

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Synthesis and characterization of waste polyethylene reinforced modified castor oil‐based polyester biocomposite

Aydoğmuş

DAĞ

Yalçın

et al. 2022

J of Applied Polymer Sci

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In this research, modified castor oil (MCO)‐based biocomposite has been synthesized and its structure is strengthened with waste polyethylene (PE) reinforcement. Both the petrochemical raw material used is reduced by 12 wt% and a new environmentally friendly biocomposite is produced using waste PE. Considering some thermophysical properties of the obtained biocomposite, experimental working conditions, and composition ratios have been optimized with response surface methodology (RSM). The chemical bond structure of the biocomposite has been investigated by Fourier transform infrared spectrophotometer, thermal decomposition behavior by thermogravimetric analysis, and surface morphology by scanning electron microscopy. According to the results obtained, the density and hardness of the biocomposite synthesized by the addition of MCO to unsaturated polyester (UP) decreases, and its thermal conductivity and thermal stability increase. The thermal decomposition kinetics of the biocomposite is also modeled with the newly improved hyperbolic function equation. The relationship between conversion rate and the temperature has been determined by the new model with a high correlation coefficient (R2 = 0.9985) and low‐error functions (SST = 0.0096, RMSE = 0.0285, χ2 = 0.0037). Effective and efficient use of MCO, UP, methyl ethyl ketone peroxide, and cobalt octoate in the production process has provided an economical and steady the biocomposite. Evaluation of experimental data with both RSM and artificial neural networks raises the reliability of the model results.

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Section: Resultsmentioning

confidence: 99%

Section: Response Surface Methodologymentioning

confidence: 99%

Synthesis and characterization of waste polyethylene reinforced modified castor oil‐based polyester biocomposite

Aydoğmuş

DAĞ

Yalçın

et al. 2022

J of Applied Polymer Sci

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“…During the analysis, a quadratic design model was applied. The reinforcement content (wt.%) and particle sizes (µm) were set as the independent variables (Factors X & Y), while Volume Loss (mm 3 ), specific wear rate (mm 3 /Nm), wear resistance (mm/mm 3 ) and experimental density (g/cm 3 ) were set as the response variables (Responses 1 to 4) [38]. Twenty-eight runs of experiments were performed to obtain the responses of the dependent variables/composite properties.…”

Section: Response Surface Modelling and Optimization Of Wear Parametersmentioning

confidence: 99%

“…Response surface methodology (RSM), has been successfully utilized among other experimental design and optimization techniques for the predictive modelling and process factor optimization of composite materials [37][38][39]. RSM is a statistical and experimental design tool in which a specified dependent variable or materials property responds to experimental variations in one or more independent process factors [40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

“…RSM is a statistical and experimental design tool in which a specified dependent variable or materials property responds to experimental variations in one or more independent process factors [40][41][42][43]. There is little or no researches on the use of hardwood charcoal to improve the tribological and other mechanical properties of wood charcoal-polymer composites [38,44]. Therefore, the objective of the present research is to investigate the influence of hardwood charcoal Particles (HWCP), as natural reinforcement material on the density and dry sliding wear resistance of polyester matrix composite, as well as optimize the process factors (reinforcement particle sizes and volume fraction) and develop mathematical models for predicting the investigated properties.…”

Section: Introductionmentioning

confidence: 99%

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Tribological Performance Evaluation of Hardwood Charcoal Powder Reinforced Polyester Resin with Response Surface Modelling and Optimization

Edoziuno¹,

Akaluzia²,

Adediran³

et al. 2021

Tribol. Ind.

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Investigation of the effect of surface modification types on the tribological performance of cow bone powder reinforced polymer materials

Kabave Kilincarslan,

Cetin,

Kanbur

et al. 2023

Polymer Composites

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This study investigated the production, characterization, mechanical and tribological performance of surface‐modified cow bone powder‐reinforced composites. The primary goal was to increase the tribological and mechanical performance of sustainable and cleanly produced composite materials. It was determined that the surface‐modified bone powder reinforcement increased the mechanical, thermal, and wear resistance of the polymer. The best surface modification method was determined as silanization. It reduced the friction coefficient and weight loss by 16.60% and 40.0%, respectively, according to the main factor analysis. In addition, it increased the glass transition temperature by 45.54%, crystallization by 2.93%, hardness by 2.70%, and tensile strength by 9.26% compared to the unmodified bone powder reinforcement.Highlights Surface‐modified cow bone powder‐reinforced composites were produced and characterized. The tribological and mechanical performance of the composites was investigated comprehensively. Surface‐modified composites improved the wear resistance. Surface‐modified composites improved the thermal resistance and mechanical properties. The best surface modification method was found to be silanization.

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Experimental study on tribological (dry sliding wear) behaviour of polyester matrix hybrid composite reinforced with particulate wood charcoal and periwinkle shell

Cited by 16 publications

References 26 publications

Synthesis and characterization of waste polyethylene reinforced modified castor oil‐based polyester biocomposite

Synthesis and characterization of waste polyethylene reinforced modified castor oil‐based polyester biocomposite

Tribological Performance Evaluation of Hardwood Charcoal Powder Reinforced Polyester Resin with Response Surface Modelling and Optimization

Investigation of the effect of surface modification types on the tribological performance of cow bone powder reinforced polymer materials

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