Pub Date : 2024-07-01DOI: 10.1088/2631-6331/ad5b4a
Alexandra Liever, Yingtao Liu and Shreya Vemuganti
Elevated temperature conditions known to improve curing from the onset and during the process of immediate curing are not available in the field, which can hinder the mechanical performance of these strengthening systems. In this study, mechanical testing and material characterization were conducted to identify the effects of subjecting nanomodified epoxy and fiber-reinforced nanomodified epoxy composites to room temperature (RT) (30 °C) and elevated temperature (110 °C) from the onset of curing. Static tensile testing and interfacial adhesion tests were conducted to evaluate the mechanical performance. Differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) were performed to determine curing characteristics to inform on the immediate curing of nanomodified resins cured under the two temperature conditions. Scanning electron microscopy was performed to identify Carbon nanotube (CNT) dispersion characteristics. Overall, due to the incorporation of CNTs in epoxy, RT curing results in upto 62% increase in strain at failure. By supplying additional energy during immediate curing with elevated temperatures, a 51% increase in strength and 42% increase in Youngs Modulus can be observed in the nanomodified epoxy. In CFRP-epoxy composites, due to the incorporation of CNTs in the epoxy, RT curing results in upto 27% increase in strain at failure. By supplying additional energy during immediate curing with elevated temperatures, upto 133% increase in strain at failure is observed and upto 17% increase in strength is observed. CNTs incorporated in CFRP-epoxy composites demonstrated upto 50% increase in interfacial adhesion whereas supplying additional energy for their immediate curing with elevated temperatures, upto 130% increase in interfacial adhesion was observed. TGA and DSC results supported the mechanical observations and show a need for immediate curing when CNTs are used in epoxy matrices.
{"title":"Effect of immediate curing at elevated temperatures on the tensile and interfacial properties of carbon fiber-epoxy composites","authors":"Alexandra Liever, Yingtao Liu and Shreya Vemuganti","doi":"10.1088/2631-6331/ad5b4a","DOIUrl":"https://doi.org/10.1088/2631-6331/ad5b4a","url":null,"abstract":"Elevated temperature conditions known to improve curing from the onset and during the process of immediate curing are not available in the field, which can hinder the mechanical performance of these strengthening systems. In this study, mechanical testing and material characterization were conducted to identify the effects of subjecting nanomodified epoxy and fiber-reinforced nanomodified epoxy composites to room temperature (RT) (30 °C) and elevated temperature (110 °C) from the onset of curing. Static tensile testing and interfacial adhesion tests were conducted to evaluate the mechanical performance. Differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) were performed to determine curing characteristics to inform on the immediate curing of nanomodified resins cured under the two temperature conditions. Scanning electron microscopy was performed to identify Carbon nanotube (CNT) dispersion characteristics. Overall, due to the incorporation of CNTs in epoxy, RT curing results in upto 62% increase in strain at failure. By supplying additional energy during immediate curing with elevated temperatures, a 51% increase in strength and 42% increase in Youngs Modulus can be observed in the nanomodified epoxy. In CFRP-epoxy composites, due to the incorporation of CNTs in the epoxy, RT curing results in upto 27% increase in strain at failure. By supplying additional energy during immediate curing with elevated temperatures, upto 133% increase in strain at failure is observed and upto 17% increase in strength is observed. CNTs incorporated in CFRP-epoxy composites demonstrated upto 50% increase in interfacial adhesion whereas supplying additional energy for their immediate curing with elevated temperatures, upto 130% increase in interfacial adhesion was observed. TGA and DSC results supported the mechanical observations and show a need for immediate curing when CNTs are used in epoxy matrices.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"5 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1088/2631-6331/ad5925
Rahul Chaurasia and Saroj Kumar Sarangi
Due to their effectiveness, lightweight materials have gained international attention in recent decades, with industrial sectors being the primary users of them. Metal matrix composites with nanohybrid reinforcement are a unique composite system combination that enhances the material’s mechanical qualities. In the present article, the mechanical properties of graphene nanoplatelets (GNP) and titanium dioxide (TiO2)-reinforced aluminium 7075 alloy are discussed with varying weight percentages of reinforcements prepared by the stir casting technique. 1 wt.% GNP with and 3 wt.% TiO2-reinforced composites show optimum properties within the range of reinforcement studied, with a 71.9% increment in tensile strength and an 86.6% improvement in microhardness observed; however, elongation is decreased by 31.7% in contrast to the base alloy. Maximum toughness is found to be in 0.5 wt.% GNP with 1 wt.% TiO2-reinforced nanohybrid composites. XRD results show phase analysis. SEM analysis of the fractured surface reveals a mixture of ductile and brittle fractures.
{"title":"Synergistic effect of graphene nanoplatelets and titanium dioxide nanopowder-reinforced aluminium nanohybrid composites on mechanical properties","authors":"Rahul Chaurasia and Saroj Kumar Sarangi","doi":"10.1088/2631-6331/ad5925","DOIUrl":"https://doi.org/10.1088/2631-6331/ad5925","url":null,"abstract":"Due to their effectiveness, lightweight materials have gained international attention in recent decades, with industrial sectors being the primary users of them. Metal matrix composites with nanohybrid reinforcement are a unique composite system combination that enhances the material’s mechanical qualities. In the present article, the mechanical properties of graphene nanoplatelets (GNP) and titanium dioxide (TiO2)-reinforced aluminium 7075 alloy are discussed with varying weight percentages of reinforcements prepared by the stir casting technique. 1 wt.% GNP with and 3 wt.% TiO2-reinforced composites show optimum properties within the range of reinforcement studied, with a 71.9% increment in tensile strength and an 86.6% improvement in microhardness observed; however, elongation is decreased by 31.7% in contrast to the base alloy. Maximum toughness is found to be in 0.5 wt.% GNP with 1 wt.% TiO2-reinforced nanohybrid composites. XRD results show phase analysis. SEM analysis of the fractured surface reveals a mixture of ductile and brittle fractures.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"8 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-20DOI: 10.1088/2631-6331/ad540d
F Nik Wan, A Abubakar, M J Suriani, A M Saat, A Fitriadhy, W M N Wan Nik, M S Abdul Majid, Z Z Mukhtar, R A Ilyas, N Mohd Nurazzi and M N F Norrrahim
This research focuses on determining the elastic properties from the development of a three-dimensional constitutive model of impregnated oil palm trunk reinforced with epoxy (OPTE) composite. The research aims to simulate the tensile behaviour of OPTE composite for finite element analysis and compared with the OPTE experimental results, respectively. The OPTE composites were manufactured by using one of the vacuum infusion techniques namely the vacuum-assisted resin transfer moulding technique. In this research, OPTE composite is considered as a unidirectional fibre due to the wood board in the resin. Tensile tests were conducted to provide the material properties as inputs into three-dimensional constitutive model. The tensile test was performed according to ASTM D3039. The test was divided into three zones including zone I (outer), zone II (middle) and zone III (inner). The three elastic constants (elastic modulus, shear modulus and Poisson’s ratio) of material properties were obtained from the tensile test data and theoretical equation. The model was developed in Abaqus software. The results from finite element method (FEM) were compared with the experimental results. There was a good agreement and promising results between FEM and the experimental data.
本研究的重点是通过建立环氧树脂浸渍油棕树干增强（OPTE）复合材料的三维构成模型来确定其弹性特性。研究旨在通过有限元分析模拟 OPTE 复合材料的拉伸行为，并分别与 OPTE 的实验结果进行比较。OPTE 复合材料是通过真空灌注技术（即真空辅助树脂传递模塑技术）制造的。在这项研究中，由于树脂中含有木板，OPTE 复合材料被视为单向纤维。进行拉伸试验是为了提供材料特性，作为三维构成模型的输入。拉伸试验根据 ASTM D3039 标准进行。试验分为三个区域，包括 I 区（外侧）、II 区（中间）和 III 区（内侧）。材料特性的三个弹性常数（弹性模量、剪切模量和泊松比）是根据拉伸试验数据和理论方程求得的。模型是在 Abaqus 软件中建立的。将有限元法（FEM）得出的结果与实验结果进行了比较。结果表明，有限元法与实验数据之间存在良好的一致性，结果令人满意。
{"title":"Experimental and finite element analysis of tensile properties of oil palm trunk im–pregnated with epoxy","authors":"F Nik Wan, A Abubakar, M J Suriani, A M Saat, A Fitriadhy, W M N Wan Nik, M S Abdul Majid, Z Z Mukhtar, R A Ilyas, N Mohd Nurazzi and M N F Norrrahim","doi":"10.1088/2631-6331/ad540d","DOIUrl":"https://doi.org/10.1088/2631-6331/ad540d","url":null,"abstract":"This research focuses on determining the elastic properties from the development of a three-dimensional constitutive model of impregnated oil palm trunk reinforced with epoxy (OPTE) composite. The research aims to simulate the tensile behaviour of OPTE composite for finite element analysis and compared with the OPTE experimental results, respectively. The OPTE composites were manufactured by using one of the vacuum infusion techniques namely the vacuum-assisted resin transfer moulding technique. In this research, OPTE composite is considered as a unidirectional fibre due to the wood board in the resin. Tensile tests were conducted to provide the material properties as inputs into three-dimensional constitutive model. The tensile test was performed according to ASTM D3039. The test was divided into three zones including zone I (outer), zone II (middle) and zone III (inner). The three elastic constants (elastic modulus, shear modulus and Poisson’s ratio) of material properties were obtained from the tensile test data and theoretical equation. The model was developed in Abaqus software. The results from finite element method (FEM) were compared with the experimental results. There was a good agreement and promising results between FEM and the experimental data.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"28 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-03DOI: 10.1088/2631-6331/ad45a7
Suhaib Mohammed and Raghuram L Naik
Small wind turbines (SWTs) are a prominent renewable energy technology for decentralized power generation. Blade material and its profile are vital parameters for the aerodynamic performance of SWTs. Traditionally E-glass fiber-reinforced composites (FRCs) are the widely accepted material for developing SWT blades. However, its application is limited by moderate tensile and fatigue properties. Alternatively, other FRC materials such as carbon, basalt and natural fiber composites are proposed as future materials for SWT blades. However, individual materials are observed to satisfy the requirements partially. Therefore, the hybridization of these materials, particularly Glass/Carbon composites is foreseen as a prospective solution for developing cost-competitive and high-strength SWT blades. There are various studies performed to obtain optimized glass/carbon hybrid composites. However, overall material properties required for SWT blades such as low cost, lightweight, moderate flexural strength and higher tensile and fatigue strengths have not been considered simultaneously during the optimization process. This work presents multi-objective optimization of Glass/Carbon hybrid composites using extreme mixture design response surface methodology (RSM) for SWT applications. The weight percentages of glass and carbon fibers are optimized to achieve desired material properties for SWT blades. The experiments are planned using extreme mixture design RSM and the regression models for desired material properties are developed with a 95% confidence level. RSM-based desirability function is employed to perform multi-objective optimization. Maximum composite desirability of 93.5% is achieved with optimal proportions of 37.9% and 27.1% for glass and carbon fibers respectively. An adequate tensile, flexural and fatigue strengths of 486.02, 435.41 and 316.27 MPa respectively are obtained for optimized glass/carbon hybrid composite at an optimum cost of 2228.76 Rs Kg−1 and density of 3.39 g cm−3. The regression models and optimization results are validated through a confirmation experiment with an error of less than 6.1%.
{"title":"Multi-objective optimization of glass/carbon hybrid composites for small wind turbine blades using extreme mixture design response surface methodology","authors":"Suhaib Mohammed and Raghuram L Naik","doi":"10.1088/2631-6331/ad45a7","DOIUrl":"https://doi.org/10.1088/2631-6331/ad45a7","url":null,"abstract":"Small wind turbines (SWTs) are a prominent renewable energy technology for decentralized power generation. Blade material and its profile are vital parameters for the aerodynamic performance of SWTs. Traditionally E-glass fiber-reinforced composites (FRCs) are the widely accepted material for developing SWT blades. However, its application is limited by moderate tensile and fatigue properties. Alternatively, other FRC materials such as carbon, basalt and natural fiber composites are proposed as future materials for SWT blades. However, individual materials are observed to satisfy the requirements partially. Therefore, the hybridization of these materials, particularly Glass/Carbon composites is foreseen as a prospective solution for developing cost-competitive and high-strength SWT blades. There are various studies performed to obtain optimized glass/carbon hybrid composites. However, overall material properties required for SWT blades such as low cost, lightweight, moderate flexural strength and higher tensile and fatigue strengths have not been considered simultaneously during the optimization process. This work presents multi-objective optimization of Glass/Carbon hybrid composites using extreme mixture design response surface methodology (RSM) for SWT applications. The weight percentages of glass and carbon fibers are optimized to achieve desired material properties for SWT blades. The experiments are planned using extreme mixture design RSM and the regression models for desired material properties are developed with a 95% confidence level. RSM-based desirability function is employed to perform multi-objective optimization. Maximum composite desirability of 93.5% is achieved with optimal proportions of 37.9% and 27.1% for glass and carbon fibers respectively. An adequate tensile, flexural and fatigue strengths of 486.02, 435.41 and 316.27 MPa respectively are obtained for optimized glass/carbon hybrid composite at an optimum cost of 2228.76 Rs Kg−1 and density of 3.39 g cm−3. The regression models and optimization results are validated through a confirmation experiment with an error of less than 6.1%.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"43 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141258389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1088/2631-6331/ad45a9
Ritesh Gupta, Gaurav Mittal, Krishna Kumar and Upender Pandel
Shape memory polymers (SMPs) are known for their unique ability to withstand large deformations and revert to their original shape under specific external stimuli. However, their broader application in biomedical and structural applications is restricted by limited mechanical and thermal properties. Introducing multi-walled carbon nanotubes (MWCNTs) into SMPs has proven to significantly enhance these characteristics without affecting their inherent shape memory features. This study investigates shape memory nanocomposites (SMNCs) through dynamic and thermogravimetric analyses, along with tensile, flexural, and shape memory testing, and explores fracture interfaces using scanning electron microscopy. Findings indicate optimal shape memory, thermal, and mechanical properties with 0.6 wt% MWCNT content, showcasing a shape recovery ratio of 93.11%, storage modulus of 4127.63 MPa, tensile strength of 55 MPa, and flexural strength of 107.94 MPa. Moreover, incorporating MWCNTs into epoxy demonstrated a reduction in recovery times by up to 50% at 0.6 wt% concentration. Despite a slight decrease in shape fixity ratio from 98.77% to 92.11%, shape recoverability remained nearly consistent across all samples. The study also introduces a novel finite element (FE) method in ABAQUS for modeling the thermomechanical behavior of SMNCs, incorporating viscoelasticity, validated by matching experimental results with FE simulations, highlighting its accuracy and practical applicability in engineering.
{"title":"Analysing the shape memory behaviour of MWCNT-enhanced nanocomposites: a comparative study between experimental and finite element analysis","authors":"Ritesh Gupta, Gaurav Mittal, Krishna Kumar and Upender Pandel","doi":"10.1088/2631-6331/ad45a9","DOIUrl":"https://doi.org/10.1088/2631-6331/ad45a9","url":null,"abstract":"Shape memory polymers (SMPs) are known for their unique ability to withstand large deformations and revert to their original shape under specific external stimuli. However, their broader application in biomedical and structural applications is restricted by limited mechanical and thermal properties. Introducing multi-walled carbon nanotubes (MWCNTs) into SMPs has proven to significantly enhance these characteristics without affecting their inherent shape memory features. This study investigates shape memory nanocomposites (SMNCs) through dynamic and thermogravimetric analyses, along with tensile, flexural, and shape memory testing, and explores fracture interfaces using scanning electron microscopy. Findings indicate optimal shape memory, thermal, and mechanical properties with 0.6 wt% MWCNT content, showcasing a shape recovery ratio of 93.11%, storage modulus of 4127.63 MPa, tensile strength of 55 MPa, and flexural strength of 107.94 MPa. Moreover, incorporating MWCNTs into epoxy demonstrated a reduction in recovery times by up to 50% at 0.6 wt% concentration. Despite a slight decrease in shape fixity ratio from 98.77% to 92.11%, shape recoverability remained nearly consistent across all samples. The study also introduces a novel finite element (FE) method in ABAQUS for modeling the thermomechanical behavior of SMNCs, incorporating viscoelasticity, validated by matching experimental results with FE simulations, highlighting its accuracy and practical applicability in engineering.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"36 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140934401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-12DOI: 10.1088/2631-6331/ad45a8
G Durango-Giraldo, C Zapata-Hernandez, J F Santa and R Buitrago-Sierra
Natural rubber latex (NRL)—a polymer extracted from the rubber tree (Hevea brasiliensis)—has been used in multiple biomedical applications but does not have antibacterial properties. In this work, ZnO nanoparticles with two different morphologies were synthesized and added to NRL at different concentrations in order to evaluate the antibacterial properties of the resulting compounds. The characterization results obtained by electron microscopy and x-ray diffraction showed nanoparticles with spherical (mean size 69 ± 17 nm) and sheet morphology (mean size 154 ± 46 nm) with Wurtzite crystalline phase for both nanomaterials, respectively. The results of antibacterial tests showed that both compounds are effective against E. coli, and the reduction in bacterial viability was 90.3% and 96.4% for sheets and spherical nanomaterials, respectively. In the case of S. aureus, bacterial viability was reduced in both cases. The greatest antibacterial activity was evidenced in the nanoparticles with spherical morphology.
{"title":"Development of latex/zinc oxide compounds with antibacterial properties for applications in biomedical engineering","authors":"G Durango-Giraldo, C Zapata-Hernandez, J F Santa and R Buitrago-Sierra","doi":"10.1088/2631-6331/ad45a8","DOIUrl":"https://doi.org/10.1088/2631-6331/ad45a8","url":null,"abstract":"Natural rubber latex (NRL)—a polymer extracted from the rubber tree (Hevea brasiliensis)—has been used in multiple biomedical applications but does not have antibacterial properties. In this work, ZnO nanoparticles with two different morphologies were synthesized and added to NRL at different concentrations in order to evaluate the antibacterial properties of the resulting compounds. The characterization results obtained by electron microscopy and x-ray diffraction showed nanoparticles with spherical (mean size 69 ± 17 nm) and sheet morphology (mean size 154 ± 46 nm) with Wurtzite crystalline phase for both nanomaterials, respectively. The results of antibacterial tests showed that both compounds are effective against E. coli, and the reduction in bacterial viability was 90.3% and 96.4% for sheets and spherical nanomaterials, respectively. In the case of S. aureus, bacterial viability was reduced in both cases. The greatest antibacterial activity was evidenced in the nanoparticles with spherical morphology.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"146 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140934275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-14DOI: 10.1088/2631-6331/ad2c0f
Sakthi Balan Ganapathy, Aravind Raj Sakthivel
Novel structural conceptualizations frequently incorporate inventive ideas, materials, or construction techniques. This study presents a unique design inspired by the traditional practice of sikku rangoli, a cultural tradition prevalent in the southern region of India, particularly in Tamil Nadu. Because it was novel, it was necessary to optimize the fundamental design for maximal outputs. In contrast to honeycomb structures, intercellular interactions are believed to contribute to the overall strengthening of the structure. By eliminating sharp corners from the structure, stress accumulation is prevented, resulting in improved stress distribution. Therefore, the design aspects that were deemed significant were taken into consideration and through the implementation of experimental design, an optimum design was determined. Utilizing the optimal base design as a foundation, the structure underwent several printing processes using diverse materials and incorporated multiple fillers. Furthermore, the structure was subjected to modifications employing the functional grading design concept. The study employed the functional grading design concept to examine the variations in load bearing capability, load distribution, and failure mode. The findings indicate that the compression strength of the composite structure was mostly influenced by the wall thickness. The combination of a carbon fiber reinforced base material with silicone rubber as filler, together with a functional graded cell structure featuring top and bottom densification, exhibited the highest compression strength compared to all other combinations. In order to investigate the accurate impact of the FG structures, every cell design was printed using PLA-CF, subjected to testing devoid of any additives, and the output parameters were computed. The results indicated that the center densified cell design exhibited significant values for specific energy absorption, relative density, and compressive strength (52.63 MPa, 0.652, and 2.95 kJ kg−1, respectively). The design of the base cell exhibited the greatest crushing force efficacy of 0.982.
{"title":"Investigation on the Compressive Characteristics and Optimization of Design Parameters of a Novel Functionally Graded Cell Structure","authors":"Sakthi Balan Ganapathy, Aravind Raj Sakthivel","doi":"10.1088/2631-6331/ad2c0f","DOIUrl":"https://doi.org/10.1088/2631-6331/ad2c0f","url":null,"abstract":"Novel structural conceptualizations frequently incorporate inventive ideas, materials, or construction techniques. This study presents a unique design inspired by the traditional practice of sikku rangoli, a cultural tradition prevalent in the southern region of India, particularly in Tamil Nadu. Because it was novel, it was necessary to optimize the fundamental design for maximal outputs. In contrast to honeycomb structures, intercellular interactions are believed to contribute to the overall strengthening of the structure. By eliminating sharp corners from the structure, stress accumulation is prevented, resulting in improved stress distribution. Therefore, the design aspects that were deemed significant were taken into consideration and through the implementation of experimental design, an optimum design was determined. Utilizing the optimal base design as a foundation, the structure underwent several printing processes using diverse materials and incorporated multiple fillers. Furthermore, the structure was subjected to modifications employing the functional grading design concept. The study employed the functional grading design concept to examine the variations in load bearing capability, load distribution, and failure mode. The findings indicate that the compression strength of the composite structure was mostly influenced by the wall thickness. The combination of a carbon fiber reinforced base material with silicone rubber as filler, together with a functional graded cell structure featuring top and bottom densification, exhibited the highest compression strength compared to all other combinations. In order to investigate the accurate impact of the FG structures, every cell design was printed using PLA-CF, subjected to testing devoid of any additives, and the output parameters were computed. The results indicated that the center densified cell design exhibited significant values for specific energy absorption, relative density, and compressive strength (52.63 MPa, 0.652, and 2.95 kJ kg<sup>−1</sup>, respectively). The design of the base cell exhibited the greatest crushing force efficacy of 0.982.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"36 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140315052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-05DOI: 10.1088/2631-6331/ad2c10
Jyoti Gaur, Sanjeev Kumar, Harpreet Kaur, Mohinder Pal, Supreet4, Kanchan Bala, Khalid Mujasam Batoo, Johnson Oshiobugie Momoh, Sajjad Hussain
This research unveils an innovative approach to green synthesis, detailed characterization, and multifunctional exploration of bio-functionalized zinc oxide nanoparticles (PN/ZnO NPs) adorned with phytochemicals from Piper nigrum (PN). Employing an extensive suite of spectroscopic techniques and physicochemical methods, including UV–vis spectroscopy, field emission scanning electron microscope (FESEM), high-resolution transmission electron microscope (HRTEM), energy dispersive x-ray (EDX) spectroscopy, Fourier-transform infrared (FTIR), x-ray diffraction (XRD), and Brunauer–Emmett–Teller (BET) analysis, the study delves into the unique properties of PN/ZnO NPs. XRD confirms the development of the wurtzite phase with a crystallite diameter of 47.77 nm. FTIR reveals ZnO functionalization by PN’s phytochemicals, while FESEM and HRTEM suggest diverse architectural features. Selected area electron diffraction patterns authenticate the crystalline structure. BET analysis showcases a large specific surface area of 80.72 m2 g−1 and a mesoporous structure. The absorption peak at 372 nm and an energy band gap (Eg) of 3.44 eV validate ZnO NP formation. The catalytic performance is demonstrated through the degradation of commercial reactive yellow-17 (RY-17) dye, with PN/ZnO (dosage 300 mg l−1) achieving 94.72% removal at a dose of 120 mg l−1. Pseudo-first-order kinetics govern the photodegradation process. PN-ZnO NPs showcase potent antimicrobial efficacy against both gram-negative and gram-positive bacteria, with varying clearance zones. This study stands as an impactful exploration, integrating green synthesis, detailed characterization, and versatile functionalities of PN/ZnO NPs.
{"title":"Eco-friendly innovation: harnessing nature’s blueprint for enhanced photocatalysis and antimicrobial potential in multi-structured PN/ZnO nanoparticles","authors":"Jyoti Gaur, Sanjeev Kumar, Harpreet Kaur, Mohinder Pal, Supreet4, Kanchan Bala, Khalid Mujasam Batoo, Johnson Oshiobugie Momoh, Sajjad Hussain","doi":"10.1088/2631-6331/ad2c10","DOIUrl":"https://doi.org/10.1088/2631-6331/ad2c10","url":null,"abstract":"This research unveils an innovative approach to green synthesis, detailed characterization, and multifunctional exploration of bio-functionalized zinc oxide nanoparticles (PN/ZnO NPs) adorned with phytochemicals from <italic toggle=\"yes\">Piper nigrum</italic> (PN). Employing an extensive suite of spectroscopic techniques and physicochemical methods, including UV–vis spectroscopy, field emission scanning electron microscope (FESEM), high-resolution transmission electron microscope (HRTEM), energy dispersive x-ray (EDX) spectroscopy, Fourier-transform infrared (FTIR), x-ray diffraction (XRD), and Brunauer–Emmett–Teller (BET) analysis, the study delves into the unique properties of PN/ZnO NPs. XRD confirms the development of the wurtzite phase with a crystallite diameter of 47.77 nm. FTIR reveals ZnO functionalization by PN’s phytochemicals, while FESEM and HRTEM suggest diverse architectural features. Selected area electron diffraction patterns authenticate the crystalline structure. BET analysis showcases a large specific surface area of 80.72 m<sup>2</sup> g<sup>−1</sup> and a mesoporous structure. The absorption peak at 372 nm and an energy band gap (<italic toggle=\"yes\">E</italic>\u0000<sub>g</sub>) of 3.44 eV validate ZnO NP formation. The catalytic performance is demonstrated through the degradation of commercial reactive yellow-17 (RY-17) dye, with PN/ZnO (dosage 300 mg l<sup>−1</sup>) achieving 94.72% removal at a dose of 120 mg l<sup>−1</sup>. Pseudo-first-order kinetics govern the photodegradation process. PN-ZnO NPs showcase potent antimicrobial efficacy against both gram-negative and gram-positive bacteria, with varying clearance zones. This study stands as an impactful exploration, integrating green synthesis, detailed characterization, and versatile functionalities of PN/ZnO NPs.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"44 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140315171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-05DOI: 10.1088/2631-6331/ad1bad
G. S, T. Jagadeesha
The existence of cracks and variations in loading direction has invoked greater modifications in the material properties. In this work, the tensile features of cracked and non-cracked FeCr polycrystals have been analyzed under numerous temperatures (300 K, 500 K, 700 K, and 900 K) and loading directions (parallel and normal to the crack cross-sectional directions) through molecular dynamics and it is originated that temperature has raised a higher impact on the tensile features trailed by the existence of crack and loading directions, owing to the formation of larger kinetic energy amidst the atoms. The existence of crack offers a moderate impression on the tensile behavior followed by the loading direction, due to its dominant impact on the tensile behavior through greater stress concentrations. Additionally, it is stated that the greater temperature along with the existence of crack and loading along normal to the crack cross section offers greater reductions in the tensile features of FeCr polycrystal, owed to the interactive effect of larger kinetic energy and discontinuity among atoms. Furthermore, the shear strain and displacement contour map and materials feature also confirm a similar occurrence which leads to altering its material behavior.
裂纹的存在和加载方向的变化使材料特性发生了更大的变化。本研究通过分子动力学分析了在不同温度（300 K、500 K、700 K 和 900 K）和加载方向（平行于裂纹横截面方向和法线方向）下，有裂纹和无裂纹铁铬多晶体的拉伸特性，结果表明，温度对拉伸特性的影响较大，其次是裂纹的存在和加载方向，原因是原子之间形成了较大的动能。裂纹的存在对拉伸行为的影响不大，其次是加载方向，这是因为它通过更大的应力集中对拉伸行为产生了主导影响。此外，由于较大的动能和原子间不连续性的交互作用，温度升高、裂纹的存在以及沿裂纹横截面法线方向的加载对铁铬多晶的拉伸特性有较大的影响。此外，剪切应变和位移等值线图以及材料特征也证实了类似情况的发生，从而改变了其材料行为。
{"title":"Impact of Nano Crack and Loading Direction on the Tensile Features of FeCr Alloy:A Molecular Dynamics Analysis","authors":"G. S, T. Jagadeesha","doi":"10.1088/2631-6331/ad1bad","DOIUrl":"https://doi.org/10.1088/2631-6331/ad1bad","url":null,"abstract":"\u0000 The existence of cracks and variations in loading direction has invoked greater modifications in the material properties. In this work, the tensile features of cracked and non-cracked FeCr polycrystals have been analyzed under numerous temperatures (300 K, 500 K, 700 K, and 900 K) and loading directions (parallel and normal to the crack cross-sectional directions) through molecular dynamics and it is originated that temperature has raised a higher impact on the tensile features trailed by the existence of crack and loading directions, owing to the formation of larger kinetic energy amidst the atoms. The existence of crack offers a moderate impression on the tensile behavior followed by the loading direction, due to its dominant impact on the tensile behavior through greater stress concentrations. Additionally, it is stated that the greater temperature along with the existence of crack and loading along normal to the crack cross section offers greater reductions in the tensile features of FeCr polycrystal, owed to the interactive effect of larger kinetic energy and discontinuity among atoms. Furthermore, the shear strain and displacement contour map and materials feature also confirm a similar occurrence which leads to altering its material behavior.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"72 10","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139450492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-04DOI: 10.1088/2631-6331/ad1b28
Nashat Nawafleh, F. Al-Oqla
Natural fiber-reinforced composites are currently utilized in several applications due to worldwide environmental and cost concerns. However, these composites have production challenges such as poor reinforcement-matrix adhesion, that sophisticates the prediction of their mechanical properties. This study presents a novel, robust hybrid particle swarm – artificial neural network optimization (PSO-ANN) methodology to assess and create accurate predictions of the green bio-fibers to optimize and improve the mechanical features of biomaterials for green bio-products instead of performing tedious experimental works. As the mechanical qualities of green bio-fibers might differ from one fiber to another due to several interacted parameters, high complexity in predicting the bio-fiber capabilities exists. Therefore, this work utilizes suitable methods with a non-linear activation function to predict the mechanical characteristics of natural fibers that allow the researchers to improve the choices of natural fibers for biomaterials on the basis of cellulose content, the microfibrillar angle, and the diameter of natural fibers, decreasing the duration of the process required to characterize materials experimentally. The reliability of the introduced PSO-ANN model was verified by the investigations of the fiber’s tensile stress and Young’s modulus. Results showed that the presented model is capable of consistently and accurately monitoring the mechanical performance to a large degree, in comparison with experimental results. This in fact would facilitate and simplify the process of selecting the best natural fiber composites, which speeds up the experimental characterization phase and improves energy efficiency in the process of converting energy into monetary income, which would have ramifications for both economies and ecosystems. The anticipated method would also boost scientific evaluation of green fibers, confirming their role as a replacement material for green product fulfillment in future eco-friendly manufacturing.
{"title":"An Effective Hybrid Particle Swarm– Artificial Neural Network Optimization for Predicting Green Bio-Fiber Characteristics and Optimizing Biomaterial Performance","authors":"Nashat Nawafleh, F. Al-Oqla","doi":"10.1088/2631-6331/ad1b28","DOIUrl":"https://doi.org/10.1088/2631-6331/ad1b28","url":null,"abstract":"\u0000 Natural fiber-reinforced composites are currently utilized in several applications due to worldwide environmental and cost concerns. However, these composites have production challenges such as poor reinforcement-matrix adhesion, that sophisticates the prediction of their mechanical properties. This study presents a novel, robust hybrid particle swarm – artificial neural network optimization (PSO-ANN) methodology to assess and create accurate predictions of the green bio-fibers to optimize and improve the mechanical features of biomaterials for green bio-products instead of performing tedious experimental works. As the mechanical qualities of green bio-fibers might differ from one fiber to another due to several interacted parameters, high complexity in predicting the bio-fiber capabilities exists. Therefore, this work utilizes suitable methods with a non-linear activation function to predict the mechanical characteristics of natural fibers that allow the researchers to improve the choices of natural fibers for biomaterials on the basis of cellulose content, the microfibrillar angle, and the diameter of natural fibers, decreasing the duration of the process required to characterize materials experimentally. The reliability of the introduced PSO-ANN model was verified by the investigations of the fiber’s tensile stress and Young’s modulus. Results showed that the presented model is capable of consistently and accurately monitoring the mechanical performance to a large degree, in comparison with experimental results. This in fact would facilitate and simplify the process of selecting the best natural fiber composites, which speeds up the experimental characterization phase and improves energy efficiency in the process of converting energy into monetary income, which would have ramifications for both economies and ecosystems. The anticipated method would also boost scientific evaluation of green fibers, confirming their role as a replacement material for green product fulfillment in future eco-friendly manufacturing.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":"36 4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139385145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：