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Thermal stability, flame retardancy and mechanical properties of casein-based rigid polyurethane foam with starch and sepiolite as fillers 以淀粉和海泡石为填料的酪蛋白基硬质聚氨酯泡沫的热稳定性、阻燃性和机械性能
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-04-03 DOI: 10.1080/1023666X.2024.2449526
Xu Zhang , Rui Han , Qihong Guan , Yan Zhang , Zhi Wang , Hua Xie
Casein-based rigid polyurethane foam (RPUF) with different ratios of starch and sepiolite were prepared by a one-step process. Thermogravimetric analysis, CONE analysis, scanning electron microscopy analysis, limiting oxygen index (LOI) analysis, vertical combustion analysis, and mechanical property analysis were used to explore the thermal stability, flame retardancy, and compressive properties of the modified RPUFs, respectively. The results showed that the initial decomposition temperature and activation energy (E) of RPUF-C5ST2SE3 (5 g casein, 2 g starch, and 3 g sepiolite) were the highest. Under the condition of radiant flux of 50 kW/m2, the peak heat release rate (PHRR), total heat release (THR), peak smoke production rate (PSPR), and total smoke release (TSR) were reduced by 35.92%, 10.83%, 36.67%, and 18.20%, respectively, compared with the RPUF without flame retardant. By analyzing the carbon residue, it was found that RPUF-C5ST2SE3 had the highest carbon residue and its carbon residue morphology was relatively intact. In addition, the RPUF-C5ST2SE3 had the highest LOI and a UL-94 rating of V-0. At the same time, it also had the best mechanical property. The present experimental results can provide a useful reference for future RPUF flame retardant studies.
采用一步法制备了淀粉与海泡石配比不同的酪蛋白基硬质聚氨酯泡沫(RPUF)。通过热重分析、CONE分析、扫描电镜分析、极限氧指数(LOI)分析、垂直燃烧分析和力学性能分析,分别考察了改性RPUFs的热稳定性、阻燃性和压缩性能。结果表明,RPUF-C5ST2SE3 (5 g酪蛋白、2 g淀粉、3 g海泡石)的初始分解温度和活化能(E)最高。在辐射通量为50 kW/m2的条件下,峰值放热率(PHRR)、总放热率(THR)、峰值产烟率(PSPR)和总放烟率(TSR)分别比未加阻燃剂的RPUF降低了35.92%、10.83%、36.67%和18.20%。通过对残炭的分析,发现RPUF-C5ST2SE3残炭含量最高,残炭形态相对完整。此外,RPUF-C5ST2SE3具有最高的LOI, UL-94评级为V-0。同时,它还具有最佳的力学性能。本实验结果可为今后RPUF阻燃剂的研究提供有益的参考。
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引用次数: 0
Disordered peptide-based design of intrinsically disordered polymers for biomedical applications 基于无序肽的内在无序聚合物生物医学应用设计
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-04-03 DOI: 10.1080/1023666X.2025.2458470
Orkid Coskuner-Weber , Fatma Nilsu Cayli , Vladimir N. Uversky
In the fields of biology and medicine, the development of synthetic polymers that emulate the unique conformational characteristics of intrinsically disordered proteins (IDPs) is of significant interest due to their exceptional structural and conformational versatility. The inherent flexibility of IDPs, arising from their absence of stable three-dimensional structures, enhances their capacity for self-organization, thereby rendering them advantageous for diverse biomedical applications. Intrinsically disordered synthetic polymers hold considerable promise in areas such as drug delivery systems, organ transplantation, artificial organ design, and immune system compatibility. However, advancing the synthesis and characterization methodologies for these polymers, which are derived from the properties of IDPs, remains a critical challenge. This article presents our design strategies for creating intrinsically disordered synthetic polymers tailored for biomedical use. These design methodologies are informed by the attributes of intrinsically disordered proteins and incorporate disorder-promoting oligopeptides.
在生物学和医学领域,模仿内在无序蛋白(IDPs)独特构象特征的合成聚合物的发展由于其特殊的结构和构象的多功能性而引起了人们的极大兴趣。国内流离失所者由于缺乏稳定的三维结构而具有固有的灵活性,这增强了他们自我组织的能力,从而使他们有利于各种生物医学应用。内在无序的合成聚合物在药物输送系统、器官移植、人工器官设计和免疫系统相容性等领域具有相当大的前景。然而,推进这些聚合物的合成和表征方法仍然是一个关键的挑战,这些聚合物来源于IDPs的性质。这篇文章提出了我们的设计策略,创造本质上无序的合成聚合物量身定制的生物医学用途。这些设计方法是由本质上无序的蛋白质的属性通知,并纳入无序促进寡肽。
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引用次数: 0
Structural and electrochemical properties of NH4SCN-doped almond gum biopolymer electrolytes 掺nh4scn杏仁胶生物聚合物电解质的结构和电化学性能
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-04-03 DOI: 10.1080/1023666X.2024.2446596
F. Vidhyaranyan , Venkatesh K , Jenova I , Karthikeyan Shunmugavel , Madeswaran S
The development of solid polymer electrolytes based on natural gums represents a promising step toward sustainable energy solutions, driven by their abundance, cost-effectiveness, biodegradability, and nontoxic nature. This study primarily focused on the fabrication of a solid polymer electrolyte using almond gum (Amygdalus communis) doped with NH4SCN salt using solution casting method and investigated its impact on ionic conductivity. An ionic conductivity of 1.123 × 10−4 Scm−1 was attained for the membrane with 40 wt% ammonium thiocyanate. Through XRD and FTIR analysis, the amorphous nature and the interaction of certain functional groups with the salt provided insights into its potential for use in sustainable energy systems. Transference number analysis confirmed the major charge carriers present in the polymer electrolyte.
基于天然树胶的固体聚合物电解质的开发代表了朝着可持续能源解决方案迈出的有希望的一步,因为它们的丰富性、成本效益、可生物降解性和无毒性。本研究主要以杏仁胶(Amygdalus communis)掺杂NH4SCN盐为原料,采用溶液浇铸法制备固态聚合物电解质,并研究其对离子电导率的影响。当硫氰酸铵含量为40%时,膜的离子电导率为1.123 × 10−4 Scm−1。通过XRD和FTIR分析,无定形性质和某些官能团与盐的相互作用为其在可持续能源系统中的应用潜力提供了见解。转移数分析证实了聚合物电解质中存在的主要载流子。
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引用次数: 0
Spectral characterization of polymer complexes based on poly(3,5,7,3’,4’-pentahydroxyflavone) with some ion metals 基于聚(3,5,7,3 ',4 ' -五羟基黄酮)与某些离子金属的聚合物配合物的光谱表征
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-04-03 DOI: 10.1080/1023666X.2024.2449056
Anastasiia Dunaieva , Andrii Voronkin , Dmytro Mishurov , Anatoliy Tatarets , Alexander Roshal
The present work focuses on investigating the complexation of some Group II metal ions and Al3+ with cross-linked polymers containing built-in fragments of 3,5,7,3’,4’-pentahydroxyflavone (quercetin). It has been studied how the formation of the polymer complexes manifests itself in IR, UV-vis, and fluorescence spectra of polymers. Additionally, the effect of polymer network structure on the spectral parameters of the complexes was analyzed and compared with the complexation of “free” quercetin not bound to the polymer. When a rigid and dense network is formed, metal ions face restricted access to the complexation centers, resulting in a lower concentration of bound metal ions. Moreover, it was found that unlike complexes of “free” quercetin, the complexes of quercetin-containing polymers with Group II ions exhibit extremely weak fluorescence, whereas the polymeric Al3+ complexes exhibit significant emission. This finding suggests that quercetin-containing polymers may be promising candidates for use as selective polymeric film indicators for detecting aluminum ions in natural and industrial environments.
目前的工作重点是研究一些II族金属离子和Al3+与含有3,5,7,3 ',4 ' -五羟基黄酮(槲皮素)内嵌片段的交联聚合物的络合作用。研究了聚合物配合物的形成如何在聚合物的红外光谱、紫外-可见光谱和荧光光谱中表现出来。此外,还分析了聚合物网络结构对配合物光谱参数的影响,并与未与聚合物结合的“游离”槲皮素的配合物进行了比较。当形成刚性致密的络合网络时,金属离子进入络合中心受到限制,导致结合金属离子的浓度较低。此外,与“游离”槲皮素的配合物不同,含有II族离子的槲皮素聚合物配合物的荧光表现出极弱的荧光,而聚合物Al3+配合物的荧光表现出明显的发射。这一发现表明,含有槲皮素的聚合物可能是有希望的候选者,可作为选择性聚合物薄膜指标,用于检测自然和工业环境中的铝离子。
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引用次数: 0
Effect of dimethylamine pyrophosphate on the mechanical, thermal decomposition and flame-retardant properties of rigid polyurethane foams 焦磷酸二甲胺对硬质聚氨酯泡沫塑料力学、热分解及阻燃性能的影响
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-04-03 DOI: 10.1080/1023666X.2024.2446597
Wei-Hua Gu , Yu Dai , Yan-Hua Yuan
To solve the problem of the insufficient flame retardancy of rigid polyurethane (RPUF), a new flame retardant, dimethylamine pyrophosphate (DMPY), was introduced into rigid polyurethane foam, and one-step foaming technology was used to prepare RPUF/DMPY composites. Furthermore, the thermal stability, flame retardancy, combustion characteristics, and gas-phase products were analyzed via thermogravimetric analysis (TGA), limiting oxygen index (LOI), cone calorimetry (CCT), and thermogravimetric infrared spectroscopy (TG-FTIR). The flame-retardant measurements revealed that when the DMPY amount exceeded 20 parts, the LOI of the RPUF/DMPY composites increased to above 23%, and all the samples reached the UL-94 V-0 level. In addition, the peak heat release rate and total heat release values of the RPUF-3 composites prepared with RPUF/DMPY were 192.6 kW/m2 and 19.98 MJ/m2, respectively, which were 35.0% and 29.1% lower than those of the pure RPUF, respectively, and significantly reduced the heat release of the RPUF composites. The analysis of char residue revealed that DMPY can effectively improve the density and graphitization degree of char residue during the combustion process of RPUF/DMPY composites, thereby endowing them with excellent flame-retardant properties. On this basis, the flame-retardant mechanism of the DMPY-based flame retardant RPUF composite material is proposed. This work provides new ideas for the development of new flame retardant PPUF composites.
为解决硬质聚氨酯(RPUF)阻燃性不足的问题,将新型阻燃剂焦磷酸二甲胺(DMPY)引入硬质聚氨酯泡沫中,采用一步发泡技术制备了RPUF/DMPY复合材料。通过热重分析(TGA)、极限氧指数(LOI)、锥量热法(CCT)、热重红外光谱(TG-FTIR)等方法对其热稳定性、阻燃性、燃烧特性和气相产物进行了分析。阻燃测试结果表明,当DMPY添加量超过20份时,RPUF/DMPY复合材料的LOI值提高到23%以上,样品均达到UL-94 V-0水平。此外,用RPUF/DMPY制备的RPUF-3复合材料的峰值放热率和总放热值分别为192.6 kW/m2和19.98 MJ/m2,分别比纯RPUF低35.0%和29.1%,显著降低了RPUF复合材料的放热率。炭渣分析表明,DMPY可以有效提高RPUF/DMPY复合材料燃烧过程中炭渣的密度和石墨化程度,从而使其具有优异的阻燃性能。在此基础上,提出了dmp基阻燃RPUF复合材料的阻燃机理。本研究为新型阻燃聚puf复合材料的开发提供了新的思路。
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引用次数: 0
Development of poly(lactic acid) nanocomposite films with kaolin/bentonite blended clay for packaging applications 包装用高岭土/膨润土混合粘土聚乳酸纳米复合膜的研制
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-04-03 DOI: 10.1080/1023666X.2024.2438724
Ravi Purbey , Dipjyoti Bora , Chayanika Bharadwaj , Pubali Chetia , Koushik Dutta , Uma Maheswari R , Jayaramudu Jarugala , Emmanuel Rotimi Sadiku , Sellamuthu Periyar Selvam
In this study, Kaolinite clay from the North-East Region (NER) of India was blended with bentonite clay and incorporated into poly(lactic acid) (PLA) at different concentrations of: 1%, 3%, 5%, and 7 weight% (wt%) through the solvent casting method. The resulting films were characterized by using the Fourier transform infrared (FTIR) spectroscopy to investigate the interactions among the various functional groups. The X-ray diffraction (XRD) analysis was performed to determine the composites’ structure and crystallinity, while the thermogravimetric analysis (TGA) was employed to assess the thermal stability of the films. Furthermore, mechanical properties, such as the tensile strength, Young’s modulus, and elongation-at-break (%) were evaluated. The maximum tensile strength of 36.9 MPa was attained for the PLA film blended with 7 wt% of clay. However, the elongation-at-break (%) for this specimen was lower when compared to the neat PLA film. Field emission scanning electron microscopy (FE-SEM) analysis provided insights into the morphology of the poly(lactic acid)–NER kaolinite/bentonite blend clay nanocomposite films, thereby revealing significant aggregation and agglomeration within the specimen containing the 5 wt% of filler. Moreover, the packaging application of the films developed was evaluated to enhance the shelf life of fresh black grapes. The results revealed that the unpackaged grapes experienced spoilage, while those wrapped in the films (PLA-7%) developed and showed no signs of deterioration after the 14 days of storage at room temperature. These findings suggest that the newly developed nanocomposite films could serve as an effective option for fruits packaging applications.
在这项研究中,来自印度东北地区(NER)的高岭土粘土与膨润土粘土混合,并通过溶剂铸造法将不同浓度的聚乳酸(PLA)掺入:1%,3%,5%和7重量% (wt%)。利用傅里叶变换红外光谱(FTIR)对所得薄膜进行了表征,研究了各种官能团之间的相互作用。采用x射线衍射(XRD)分析复合材料的结构和结晶度,热重分析(TGA)评价复合材料的热稳定性。此外,力学性能,如抗拉强度,杨氏模量和断裂伸长率(%)进行了评估。当粘土掺量为7%时,PLA薄膜的最大拉伸强度为36.9 MPa。然而,与纯PLA薄膜相比,该试样的断裂伸长率(%)较低。场发射扫描电镜(FE-SEM)分析揭示了聚乳酸-NER高岭石/膨润土混合粘土纳米复合膜的形貌,从而揭示了含有5 wt%填料的样品内显着的聚集和团聚。并对所研制薄膜在提高新鲜黑葡萄保质期方面的包装应用进行了评价。结果表明,未包装的葡萄出现了变质现象,而包裹在薄膜(PLA-7%)中的葡萄在室温下储存14天后没有出现变质迹象。这些发现表明,新开发的纳米复合薄膜可以作为水果包装应用的有效选择。
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引用次数: 0
Effect of pentaerythritol derived phosphorous based bicyclic polymer on the flammability 季戊四醇衍生磷基双环聚合物对可燃性的影响
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-04-03 DOI: 10.1080/1023666X.2024.2445679
Shikha , Neelam Yadav
1-oxyphospha-4-hydroxymethyl-2,6,7-trioxabicyclo [2.2.2] octane (PEPA) was synthesized successfully in producing a PEPA-based monomer having an acrylate group and its polymers. Nuclear magnetic resonance (NMR), 1H, and 31P spectra were used to establish their structural integrity. Thermogravimetric analysis (TGA), the limited oxygen index (LOI), and the UL-94 test were used to examine the thermal characteristics and flame retardant behavior of the systems with 15 wt% of flame retardants (PhosPTPU15, Phosphorous functionalized polymer thermoplastic polyurethane). Thermoplastic polyurethane (TPU), the results reveal that LOI increases from 19% to 27.8% with the incorporation of 15 wt% PhosPTPU15. SEM-EDX was used to evaluate the morphology of the TPU and its blend, which exhibits that with the incorporation of PhosPTPU15 the blend showed compact morphology and supported the condensed phase mechanism of the blends.
成功合成了1-氧磷-4-羟甲基-2,6,7-三沙环[2.2.2]辛烷(PEPA),制备了一种丙烯酸基PEPA基单体及其聚合物。采用核磁共振(NMR)、1H和31P谱来确定其结构完整性。采用热重分析(TGA)、限氧指数(LOI)和UL-94测试,考察了添加15%阻燃剂(PhosPTPU15、磷功能化聚合物热塑性聚氨酯)的体系的热特性和阻燃性能。结果表明,在热塑性聚氨酯(TPU)中,加入15%的PhosPTPU15, LOI由19%提高到27.8%。利用SEM-EDX对共混物及其形貌进行了表征,结果表明,加入磷酸铁pu15后,共混物形貌致密,支持共混物的凝聚相机制。
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引用次数: 0
Accurate modeling of nano-enhanced polyethylene glycol thermal conductivity using soft computing methods: application to thermal energy storage 用软计算方法精确模拟纳米增强聚乙二醇的导热性:在热能储存中的应用
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-03-27 DOI: 10.1080/1023666X.2025.2477557
Xiaona Liu , Zahraa Sabah Ghnim , Asha Rajiv , Anupam Yadav , Haider Radhi Saud , Aman Shankhyan , Sachin Jaidka , Kamal Kant Joshi , Ayat Hussein Adhab , Morug Salih Mahdi , Aseel Salah Mansoor , Usama Kadem Radi , Nasr Saadoun Abd , Mehrdad Mottaghi , Raed H. C. Alfilh
Polyethylene glycol (PEG) is considered a renowned polymer with a semi-crystalline composition that, as a phase change material, is ideal for use in applications of heat energy storage. Recent research suggests that PEG’s thermal conductivity can be significantly improved by incorporating nanoparticles. This study focuses on developing various robust machine learning methods like decision trees, adaptive boosting, ensemble learning, K-nearest neighbors, multilayer perceptron artificial neural networks, convolutional neural networks, and extra trees to accurately assess nano-enhanced PEG thermal conductivity based on PEG molecular weight, temperature, type of nanomaterial, and its concentration. The leverage technique is employed to identify potential outlier data within the collected dataset. Additionally, a sensitivity assessment will be performed to examine the relative impacts of each input parameter on the thermal conductivity. The K-fold cross-validation technique is used in every algorithm to mitigate the overfitting problem during model training. The results indicate that the extra trees (with R2 = 0.9368997, MSE = 0.0003628, AARE% = 3.7075695) and decision tree (with R2 = 0.9374603, MSE = 0.0003596, AARE% = 3.5759954) models are the most accurate in predicting the thermal conductivity of nano-enhanced PEG. These models achieve the highest coefficient of determination (R2) and the lowest error metrics (MSE and AARE%), highlighting their exceptional capacity to recognize intricate patterns and provide accurate forecasts, particularly for forecasting thermal conductivity. Also, it is implied that temperature, molecular weight of PEG, and nanoparticle concentration all tend to increase the thermal conductivity, with nanoparticle concentration being the most effective factor.
聚乙二醇(PEG)被认为是一种著名的聚合物,具有半结晶成分,作为相变材料,非常适合用于热能储存的应用。最近的研究表明,通过加入纳米颗粒,聚乙二醇的导热性可以显著提高。本研究的重点是开发各种鲁棒机器学习方法,如决策树、自适应增强、集成学习、k近邻、多层感知器人工神经网络、卷积神经网络和额外树,以准确评估基于PEG分子量、温度、纳米材料类型及其浓度的纳米增强PEG的导热性。利用杠杆技术在收集的数据集中识别潜在的异常数据。此外,将进行灵敏度评估,以检查每个输入参数对导热系数的相对影响。每个算法都使用K-fold交叉验证技术来缓解模型训练过程中的过拟合问题。结果表明,额外树模型(R2 = 0.9368997, MSE = 0.0003628, AARE% = 3.7075695)和决策树模型(R2 = 0.9374603, MSE = 0.0003596, AARE% = 3.5759954)对纳米增强PEG的热导率预测最准确。这些模型实现了最高的决定系数(R2)和最低的误差指标(MSE和AARE%),突出了它们识别复杂模式和提供准确预测的卓越能力,特别是在预测导热系数方面。温度、PEG分子量和纳米颗粒浓度都有增加导热系数的趋势,其中纳米颗粒浓度是最有效的因素。
{"title":"Accurate modeling of nano-enhanced polyethylene glycol thermal conductivity using soft computing methods: application to thermal energy storage","authors":"Xiaona Liu ,&nbsp;Zahraa Sabah Ghnim ,&nbsp;Asha Rajiv ,&nbsp;Anupam Yadav ,&nbsp;Haider Radhi Saud ,&nbsp;Aman Shankhyan ,&nbsp;Sachin Jaidka ,&nbsp;Kamal Kant Joshi ,&nbsp;Ayat Hussein Adhab ,&nbsp;Morug Salih Mahdi ,&nbsp;Aseel Salah Mansoor ,&nbsp;Usama Kadem Radi ,&nbsp;Nasr Saadoun Abd ,&nbsp;Mehrdad Mottaghi ,&nbsp;Raed H. C. Alfilh","doi":"10.1080/1023666X.2025.2477557","DOIUrl":"10.1080/1023666X.2025.2477557","url":null,"abstract":"<div><div>Polyethylene glycol (PEG) is considered a renowned polymer with a semi-crystalline composition that, as a phase change material, is ideal for use in applications of heat energy storage. Recent research suggests that PEG’s thermal conductivity can be significantly improved by incorporating nanoparticles. This study focuses on developing various robust machine learning methods like decision trees, adaptive boosting, ensemble learning, K-nearest neighbors, multilayer perceptron artificial neural networks, convolutional neural networks, and extra trees to accurately assess nano-enhanced PEG thermal conductivity based on PEG molecular weight, temperature, type of nanomaterial, and its concentration. The leverage technique is employed to identify potential outlier data within the collected dataset. Additionally, a sensitivity assessment will be performed to examine the relative impacts of each input parameter on the thermal conductivity. The K-fold cross-validation technique is used in every algorithm to mitigate the overfitting problem during model training. The results indicate that the extra trees (with R<sup>2</sup> = 0.9368997, MSE = 0.0003628, AARE% = 3.7075695) and decision tree (with R<sup>2</sup> = 0.9374603, MSE = 0.0003596, AARE% = 3.5759954) models are the most accurate in predicting the thermal conductivity of nano-enhanced PEG. These models achieve the highest coefficient of determination (R<sup>2</sup>) and the lowest error metrics (MSE and AARE%), highlighting their exceptional capacity to recognize intricate patterns and provide accurate forecasts, particularly for forecasting thermal conductivity. Also, it is implied that temperature, molecular weight of PEG, and nanoparticle concentration all tend to increase the thermal conductivity, with nanoparticle concentration being the most effective factor.</div></div>","PeriodicalId":14236,"journal":{"name":"International Journal of Polymer Analysis and Characterization","volume":"30 4","pages":"Pages 457-484"},"PeriodicalIF":1.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effect of fiber parameters and surface treatment in caster fiber- reinforced polyester composites 纤维参数及表面处理对铸体纤维增强聚酯复合材料性能的影响
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-03-19 DOI: 10.1080/1023666X.2025.2477562
K. Nijandhan , R. Muralikannan , Deepak B. Thimiri Govinda Raj , E. L. Pradeesh
This investigation focused on identifying the effect of fiber parameters (fiber length, fiber weight) on the mechanical properties of pretreated caster fiber-reinforced polyester composites. The composite plates were fabricated using the hand layup technique by varying the fiber length and fiber content in polyester matrix composites. The tensile, flexural, and impact tests were conducted as per ASTM standards. Fracture mechanism was analyzed using scanning electron microscopy (SEM) images. It is found that the highest tensile (20.8 MPa), flexural (46.4 MPa), and impact (38.2 kJ/m2) strengths of composites with 30 mm fiber length and 40% fiber wt. content. The regression equation was formulated and optimum fiber parameters for better mechanical properties were identified using response surface methodology and pattern search optimization algorithm. This study confirms that caster fiber-reinforced polyester composites were used to lightweight engineering applications.
研究了纤维参数(纤维长度、纤维重量)对经预处理的连铸纤维增强聚酯复合材料力学性能的影响。通过改变聚酯基复合材料的纤维长度和纤维含量,采用手铺技术制备了复合材料板。拉伸、弯曲和冲击试验按照ASTM标准进行。利用扫描电镜(SEM)对断裂机理进行了分析。当纤维长度为30 mm、纤维重量为40%时,复合材料的拉伸强度(20.8 MPa)、弯曲强度(46.4 MPa)和冲击强度(38.2 kJ/m2)最高。建立了回归方程,利用响应面法和模式搜索优化算法确定了获得更好力学性能的最佳纤维参数。本研究证实了蓖麻纤维增强聚酯复合材料在轻量化工程中的应用。
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引用次数: 0
A green chemistry of the polymerization of methyl methacrylate (MMA) and a new copolymer of propylene oxide (PO) using natural catalysts 用天然催化剂聚合甲基丙烯酸甲酯(MMA)和新型环氧丙烷(PO)共聚物的绿色化学
IF 1.7 4区 工程技术 Q4 POLYMER SCIENCE Pub Date : 2025-03-11 DOI: 10.1080/1023666X.2025.2474015
Mohamed Benadda , Karima Oussadi , Boumediene Haddou , Asmaa Benettayeb , Basant Lal , Soumya Ghosh , Ahmad Hosseini-Bandegharaei
The development of sustainable polymerization methods is essential for promoting green chemistry and minimizing environmental impact. This manuscript discusses the polymerization of methyl methacrylate (MMA), which resulted in a number-average molecular weight of Mn¯=52400g/mol and polydispersity of Ip=1.4, using a natural anionic catalyst. The yield of the polymerization is influenced by the ratio of Maghnite-Na + to monomer weight and the duration of the reaction. A yield of 65% was achieved with a maghnite-Na+/monomer weight ratio of 10% after 8 h of polymerizing methyl methacrylateMMA. Additionally, a new copolymer of propylene oxide (PO) and methyl methacrylate (MMA) was synthesized through cationic polymerization. This copolymerization was conducted in bulk at a temperature of 20 °C. The yield of the copolymerization depends on the amount of maghnite-H+ used and the length of the reaction time. This modification provides a nontoxic and effective proton source for the cationic polymerization of various vinylic and heterocyclic monomers. The highest yield of the copolymer was obtained using Algerian montmorillonite modified with 0.25 M H2SO4. The structures of the synthesized products were confirmed through 1H-NMR, 13C-NMR, Fourier transform infrared spectroscopy (FT-IR), gel permeation chromatography (GPC), and differential scanning calorimetry (DSC) analysis.
发展可持续的聚合方法对于促进绿色化学和减少对环境的影响至关重要。本文讨论了在天然阴离子催化剂下,甲基丙烯酸甲酯(MMA)的数平均分子量为Mn¯=52400g/mol,多分散性为Ip=1.4。聚合反应的产率受镁铁钠离子与单体质量的比例和反应时间的影响。甲基丙烯酸甲酯emma聚合8 h后,马镁石- na +/单体质量比为10%,收率为65%。此外,还通过阳离子聚合合成了环氧丙烷(PO)与甲基丙烯酸甲酯(MMA)的共聚物。该共聚反应在20℃的温度下进行。共聚收率取决于镁铁氢离子的用量和反应时间的长短。这种改性为各种乙烯基和杂环单体的阳离子聚合提供了无毒有效的质子源。用0.25 M H2SO4改性阿尔及利亚蒙脱土,共聚物收率最高。通过1H-NMR、13C-NMR、傅里叶变换红外光谱(FT-IR)、凝胶渗透色谱(GPC)和差示扫描量热(DSC)分析对合成产物的结构进行了确证。
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International Journal of Polymer Analysis and Characterization
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