Analysis of Dry Sliding Wear Behavior of Polyester Filled with Walnut Shell Powder Using Response Surface Method and Neural Networks

Pradhan, Priyabrat; Satapathy, Alok

doi:10.1007/s11665-021-05802-4

Cited by 20 publications

(8 citation statements)

References 25 publications

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“…Therefore, when the ANN method is applied to even the most complex problems, quality results are obtained. ANN can give even more effective results when used with different programs and models 26–28 . In this sense; by using ANN and RSM model together, it is easier to reach the result, and more effective results are obtained.…”

Section: Resultsmentioning

confidence: 99%

“…ANN can give even more effective results when used with different programs and models. [26][27][28] In this sense; by using ANN and RSM model together, it is easier to reach the result, and more effective results are obtained. In this study, ANN method has been used to characterize the experimental results of PE reinforced biocomposite.…”

Section: Artificial Neural Networkmentioning

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: Artificial Neural Networkmentioning

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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“…In the work of Pradhan and Satapathy [ 57 ], micromechanical analyses were performed using the DIGMAT FE for a polyester resin—walnut shell powder (WSP) composite. The tested composites had the following filler contents: 4, 8, 12, 16, and 20%.…”

Section: Discussionmentioning

confidence: 99%

The Mechanical Properties Prediction of Poly [(3-hydroxybutyrate)-co-(3-hydroxyvalerate)] (PHBV) Biocomposites on a Chosen Example

2022

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This paper aims to experimentally determine the properties of the poly [(3-hydroxybutyrate)-co-(3-hydroxyvalerate)]—(PHBV)—30% hemp fiber biocomposite, which is important in terms of numerical simulations of product manufacturing, and to evaluate the mechanical properties by means of micromechanical modeling. The biocomposite was manufactured using a single-screw extruder. Specimens for testing were produced by applying the injection molding technology. Utilizing the simulation results of the plastic flow, carried out by the Moldflow Insight 2016 commercial software and the results of experimental tests, the forecasts of selected composite mechanical properties were performed by means of both numerical and analytical homogenization methods. For this purpose, the Digimat software was applied. The necessary experimental data to perform the calculations for the polymer matrix, fibers, and the biocomposite were obtained by rheological and thermal studies as well as elementary mechanical tests. In the paper, the method of determining selected properties of the biocomposite and the method of forecasting its other properties are discussed. It shows the dependence of the predicted, selected properties of the biocomposite on the filler geometry assumed in the calculations and the homogenization method adopted for the calculations. The results of the work allow for the prediction of properties of the PHBV biocomposites—hemp fiber for any amount of filler used. Moreover, the results allow for the estimation of the usefulness of homogenization methods for the prediction of properties of the PHBV-hemp fiber biocomposites. Furthermore, it was found that for the developed and tested biocomposites, the most effective possibility of mechanical properties prediction is using the Mori-Tanaka homogenization model, which unfortunately has some limitations.

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“…Polymer composites with natural fillers/ fibers found their use in different tribological applications mainly because of their high specific properties. [1] As a result, bio-composites have received great publicity as one of the most promising approaches to developing innovative materials. [2][3][4] Presently, nutshells in the form of particles as a filler material in a polymeric resin are of interest among the scientific community.…”

Section: Introductionmentioning

confidence: 99%

“…[2][3][4] Presently, nutshells in the form of particles as a filler material in a polymeric resin are of interest among the scientific community. Almond shell, [5,6] argan nutshell, [7,8] cashew nutshell, [9,10] coconut shell, [11,12] Doum palm shell, [13,14] hazelnut shell, [15,16] palm kernel shell, [17,18] peanut shell, [19,20] pistachio shell [21,22] and walnut shell [1,23] are the nutshells explored by the scientific community as a filler material for different applications.…”

Section: Introductionmentioning

confidence: 99%

Physical, mechanical, and sliding wear behavior of epoxy composites filled with surface modified walnut shell particulate

Shejkar¹,

Agrawal²,

Agrawal

et al. 2022

Polymer Composites

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The current study aims to examine the influence of surface‐modified micro‐sized walnut shell particulates (WSP) with an aqueous solution of sodium hydroxide (NaOH) on epoxy composites. For that, epoxy/WSP composites are prepared by varying the WSP content up to 20 wt%. In this investigation, the physical properties (surface morphology, density, voids percentage, water uptake), mechanical properties (tensile, flexural, compressive, hardness), and sliding wear behavior of the composites are reported. From the micrographs, it is clear that WSP established good adhesion with the epoxy matrix. Further, it is found that the density, void content, water intake capacity, compressive strength, and hardness increase with WSP loading. Against that, the tensile and flexural strength is somewhat reduced at higher filler loading. Sliding wear tests are performed as per L25 Taguchi's orthogonal array. From the analysis, it is observed that WSP content is the most significant factor and sliding distance is the least significant factor for minimizing the wear rate. For analyzing the sliding wear performance under varied conditions, a prediction model is proposed using an artificial neural network to forecast the sliding wear rate of epoxy/WSP composites over a wide range of experimental domains.

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Analysis of Dry Sliding Wear Behavior of Polyester Filled with Walnut Shell Powder Using Response Surface Method and Neural Networks

Cited by 20 publications

References 25 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

The Mechanical Properties Prediction of Poly [(3-hydroxybutyrate)-co-(3-hydroxyvalerate)] (PHBV) Biocomposites on a Chosen Example

Physical, mechanical, and sliding wear behavior of epoxy composites filled with surface modified walnut shell particulate

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