Yazar "Dağ, Mustafa" seçeneğine göre listele
Listeleniyor 1 - 5 / 5
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Diatomite reinforced modified safflower oil-based epoxy biocomposite production: Optimization with RSM and assessment of outcomes by ANN(Elsevier, 2023) Dağ, Mustafa; Aydoğmus, Ercan; Yalçın, Zehra Gülten; Arslanoğlu, HasanIn this study, a biocomposite based on modified safflower oil (MSO) has been created and its structure has been reinforced with diatomite. The weight of the petrochemical raw material utilized is decreased with the usage of MSO, and diatomite is employed to create a novel, environmentally friendly biocomposite. Response surface methodology (RSM) is used to optimize experimental research while taking the resulting biocomposite's thermophysical properties into consideration. The chemical bond structure of the biocomposite is examined using Fourier transform infrared (FTIR) spectroscopy. For thermal decomposition behavior, thermogravimetric analysis (TGA) is performed, and scanning electron microscopy (SEM) is used for surface morphology. Additionally, research has been done on the diatomite-reinforced MSO-based biocomposite's Shore D hardness, density, and thermal conductivity coefficient. It has been found that MSO interacts well with diatomite to improve some of the biocomposite's features and to help it create new ones. The employment of an artificial neural network (ANN) and RSM has been shown to facilitate the effective and efficient execution of experimental research and the more accurate evaluation of results. According to RSM, biocomposite production with 65 wt% epoxy A, 34 wt% epoxy B, 8 wt% MSO, and 5 wt% diatomite is optimum.Öğe Exploring role of polyester composites in biocomposites for advanced material technologies: a comprehensive review(Taylor & Francis Inc, 2025) Dağ, Mustafa; Aydoğmuş, Ercan; Arslanoğlu, Hasan; Yalçın, Zehra GültenThis study represents the culmination of our efforts to explore the crucial role of polyester composites in the field of biocomposites, highlighting their importance in advanced materials technologies. Our primary objective has been to thoroughly elucidate the significance of polyester composites within biocomposites, with a detailed examination of their impact on advanced material technologies. Through this research, we have meticulously investigated the properties of polyesters derived from biodegradable polymers, analyzing their intricate structure-property relationships and potential applications in bio-based production. To drive the industrial adoption of bio-based polyesters, our work emphasizes the need for developing economically viable production methodologies, exploring ecologically sustainable and effective material designs, and advocating for robust policy support to facilitate the commercialization of bio-based polyesters. We propose that future research should focus on the innovation of novel bio-based monomers as sustainable raw material sources, the design of diverse polyester structures utilizing material genome technology, and a comprehensive understanding of the degradation processes and long-term performance of bio-based polyesters. The advancement in this domain relies on interdisciplinary collaboration across materials science, engineering, and chemistry. Our findings underscore that through such interdisciplinary cooperation, a broader spectrum of bio-based polyester products can be developed, thereby expanding their industrial applications. In this context, our investigation aims to contribute to the advancement of sustainable materials and their more effective integration into future material technologies. Graphical AbstractÖğe Production of waste polyethylene terephthalate reinforced biocomposite with RSM design and evaluation of thermophysical properties by ANN(Elsevier Ltd, 2021) Aydoğmuş, Ercan; Arslanoğlu, Hasan; Dağ, MustafaIn this study, bio-unsaturated polyester (BUP) raw material is synthesized using modified palm oil (MPO). A new BUP composite has been improved by adding waste polyethylene terephthalate (WPET) to the obtained synthesis. The modified palm oil supplementation decreased the density, Shore D hardness, and elastic modulus of the BUP composite while increasing its thermal conductivity, and thermal stability. WPET filler has been used to decrease the thermal conductivity of the BUP composite, rise its elastic modulus and Shore D hardness. When parameters affecting experimental conditions are optimized using Response Surface Methodology (RSM); BUP (86 wt%), WPET (11.7 wt%), methyl ethyl ketone peroxide (MEKP: 1.6 wt%), cobalt octoate (Co. Oc: 0.7 wt%), and curing time (CT: 24 h) are approximately determined. BUP composite's density is 1324 kg/m3, Shore D hardness 84, elastic modulus 346 MPa, thermal conductivity 0.048 W/m·K, and activation energy 135 kJ/mol. Also, when the thermophysical properties of the produced BUP composite have been evaluated using experimental data, it gives consistent results in both Artificial Neural Networks (ANN) and RSM method.Öğe Synthesis and characterization of EPS reinforced modified castor oil-based epoxy biocomposite(Elsevier, 2022) Aydoğmus, Ercan; Dağ, Mustafa; Yalçın, Zehra Gülten; Arslanoğlu, HasanIn this research, both modified castor oil-based epoxy is synthesized and waste expanded polystyrene (EPS) is used as a filler in the newly improved biocomposite. The experimental work plan is optimized with response surface methodology (RSM) and the thermophysical properties of the biocomposites have been also evaluated with artificial neural networks (ANN). Chemical characterization of the synthesized modified castor oil (MCO) based biocomposite has been done by Fourier transform infrared spectroscopy (FTIR). Thermogravimetric analysis (TGA) and scanning electron microscopy (SEM) of the obtained biocomposite have been determined. According to the results, the activation energy of the biocomposite synthesized with modified castor oil is up to 21% higher than the pure epoxy composite. The use of MCO in the biocomposite is also reduced the epoxy components (petrochemicals) by up to 13 wt%. Besides, the recycling of waste EPS in biocomposite has been reduced the production cost up to 9% and the density of the synthesized biocomposite up to 15%. Also, EPS reinforcement reduces the thermal conductivity coefficient up to approximately 17%, while MCO reinforcement decreases the Shore D hardness and increases the workability of the biocomposite. Moreover, a new model equation with hyperbolic function has been improved to examine the thermal decomposition behavior of the biocomposite. Maximum correlation coefficient and minimum error values have been analyzed statistically with Flynn-Wall-Ozawa, Kissinger, and Coats-Redfern models.Öğe Synthesis and characterization of waste polyethylene reinforced modified castor oil-based polyester biocomposite(Wiley, 2022) Aydoğmuş, Ercan; Dağ, Mustafa; Yalçın, Zehra Gülten; Arslanoğlu, HasanIn 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, chi 2 = 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.
