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Preparation, Characterization and Evaluation of Polyamide-Reduced Graphene Oxide as Selective Membranes for Water Purification 作为水净化选择性膜的聚酰胺还原石墨烯氧化物的制备、表征和评估
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-01-10 DOI: 10.3390/jcs8010024
Ahmed A. Alshahrani, A. A. El-Habeeb, Arwa A. Almutairi, Dimah A. Almuaither, Sara A. Abudajeen, Hassan M. A. Hassan, I. Alsohaimi
Amidst the ongoing advancements in membrane technology, a leading method has come to the forefront. Recent research has emphasized the substantial influence of surface attributes in augmenting the effectiveness of thin-film membranes in water treatments. These studies reveal how surface properties play a crucial role in optimizing the performance of these membranes, further establishing their prominence in the field of membrane technology. This recognition stems from the precise engineering of surfaces, ensuring they meet the demanding requirements of advanced separation processes. This study utilizes polyamide as a discerning layer, applied atop a polysulfone support sheet through interfacial polymerization (IP) for membrane fabrication. The amounts in the various membranes were created to vary. The membrane’s permeability to water with significant salt rejection was enhanced, which improved its effectiveness. The polyamide (PA) membrane comprising graphene oxide (rGO, 0.015%) had a water permeability of 48.90 L/m2 h at 22 bar, which was much higher than the mean permeability of polyamide membranes (25.0 L/m2 h at 22 bar). On the other hand, the PA–rGO/CHIT membranes exhibited the lowest water permeability due to their decreased surface roughness. However, the membranes’ effectiveness in rejecting salts ranged from 80% to 95% for PA–rGO and PA–rGO/CHIT membranes.
在膜技术不断进步的过程中,一种领先的方法脱颖而出。最近的研究强调了表面属性对提高薄膜膜在水处理中的有效性的重大影响。这些研究揭示了表面属性如何在优化这些膜的性能方面发挥关键作用,进一步确立了它们在膜技术领域的突出地位。这种认可源于精确的表面工程,确保它们满足先进分离过程的苛刻要求。这项研究利用聚酰胺作为分辨层,通过界面聚合(IP)将其应用于聚砜支撑片之上,以制造膜。各种膜的用量各不相同。膜对水的渗透性和显著的盐排斥性得到了增强,从而提高了其有效性。含有氧化石墨烯(rGO,0.015%)的聚酰胺(PA)膜在 22 巴压力下的透水性为 48.90 升/平方米小时,远高于聚酰胺膜的平均透水性(22 巴压力下 25.0 升/平方米小时)。另一方面,PA-rGO/CHIT 膜由于表面粗糙度降低,透水性最低。不过,PA-rGO 和 PA-rGO/CHIT 膜的拒盐效果在 80% 到 95% 之间。
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引用次数: 0
Effects of Low-Velocity-Impact on Facesheet-Core Debonding of Natural-Core Composite Sandwich Structures—A Review of Experimental Research 低速冲击对天然芯材复合材料夹层结构表层-芯材脱粘的影响--实验研究综述
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-01-09 DOI: 10.3390/jcs8010023
Michael Ong, Arlindo Silva
Sandwich composites are often used as primary load-bearing structures in various industries like aviation, wind, and marine due to their high strength-to-weight and stiffness-to-weight ratios, but they are vulnerable to damage from Low-velocity-impact (LVI) events like dropped tools, hail, and birdstrikes. This often manifests in the form of Facesheet-Core-Debonding (FCD) and is often termed Barely-Visible-Impact-Damage (BVID), which is difficult to detect and can considerably reduce mechanical properties. In general, a balsa core sandwich is especially vulnerable to FCD under LVI as it has poorer adhesion than synthetic core materials. A cork core sandwich does show promise in absorbing LVI with low permanent indentation depth. This paper also reviews surface treatment/modification as a means of improving the adhesion of composite core and fiber materials: key concepts involved, a comparison of surface free energies of various materials, and research literature on surface modification of cork, glass, and carbon fibers. Since both balsa and cork have a relatively low surface free energy compared to other materials, this paper concludes that it may be possible to use surface modification techniques to boost adhesion and thus FCD on balsa or cork sandwich composites under LVI, which has not been covered by existing research literature.
三明治复合材料因其高强度-重量比和刚度-重量比,经常被用作航空、风能和船舶等行业的主要承重结构,但它们很容易受到低速冲击(LVI)事件的损害,如工具掉落、冰雹和鸟击。这种损坏通常表现为面板-夹芯-脱粘 (FCD),通常被称为 "几乎看不见的冲击损坏"(BVID),这种损坏很难发现,而且会大大降低机械性能。一般来说,轻木芯夹层在 LVI 条件下特别容易受到 FCD 的影响,因为它的粘附性比合成芯材差。软木芯夹层材料在吸收 LVI 方面表现良好,永久压痕深度较低。本文还回顾了作为改善复合芯材和纤维材料附着力的一种手段的表面处理/改性:所涉及的关键概念、各种材料表面自由能的比较以及软木、玻璃和碳纤维表面改性的研究文献。与其他材料相比,轻木和软木的表面自由能都相对较低,因此本文得出结论,可以使用表面改性技术来提高轻木或软木夹层复合材料在低速六级载荷下的附着力,从而提高 FCD,而现有的研究文献尚未涉及这一点。
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引用次数: 0
Friction Stir Spot Welding of Thin Aluminium Sheets to Polyamide 6: A Study of the Welding Parameters and Strategies 铝薄板与聚酰胺 6 的搅拌摩擦点焊:焊接参数与策略研究
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-01-08 DOI: 10.3390/jcs8010021
Miguel A. R. Pereira, Ivan Galvão, José Domingos Costa, Rui M. Leal, Ana M. Amaro
The joining of aluminium alloy AA6082-T6 to polyamide 6 (PA6) by friction stir spot welding (FSSW) was investigated in the current work. Although previous studies can be found on the joining of polymers and metals by FSSW, welding using aluminium plates as thin as the ones used in this work (1 mm) was not found. The influence of the plunge depth (0.1 to 0.5 mm) and the dwell time (15 and 30 s) parameters on the welding results was studied. In general, the increase of these parameters led to the improvement of the maximum load of the joints under tensile-shear testing. Additionally, the feasibility of multiple spot welding was tested and proven. Finally, although most of the welds were performed with a pinless tool, a tool with a conical pin and a concave shoulder was used for comparison. The use of this more conventional tool resulted in joints easily broken by handling. Still, the potential of the conical pin tool was demonstrated. The different conditions were evaluated based on morphology and tensile-shear testing. The weld with the best mechanical behaviour was produced with multiple spot welding, which failed for a maximum load of about 2350 N.
本次研究采用搅拌摩擦点焊 (FSSW) 将铝合金 AA6082-T6 与聚酰胺 6 (PA6) 焊接在一起。虽然以前曾有过通过 FSSW 焊接聚合物和金属的研究,但没有发现使用像本研究中使用的铝板(1 毫米)这样薄的铝板进行焊接的。研究了切入深度(0.1 至 0.5 毫米)和停留时间(15 秒和 30 秒)参数对焊接结果的影响。总的来说,这些参数的增加提高了接头在拉伸剪切测试中的最大载荷。此外,还测试并证明了多重点焊的可行性。最后,尽管大部分焊接都是使用无针工具进行的,但也使用了带有锥形针和凹肩的工具进行比较。使用这种更传统的工具,接头很容易因操作而断裂。不过,锥形针工具的潜力还是得到了证明。根据形态和拉伸剪切测试对不同条件进行了评估。机械性能最好的焊缝是采用多重点焊产生的,在最大负荷约为 2350 N 时失效。
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引用次数: 0
Tuning the Tensile and Shear Properties of a Scar Healing Composite for Mechanotherapy 调整疤痕愈合复合材料的拉伸和剪切性能,促进机械疗法
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-01-08 DOI: 10.3390/jcs8010022
K. Lui, Xungai Wang, Chi-Wai Kan
Conventional scar treatment options of single pressure garment therapy (PGT) or silicone gel sheeting (SGS, Cica-Care®, Smith and Nephew, London, UK) alone lack mechanical property tunability. This article discusses a scar healing composite (PGF-Biopor®AB, Dreve Otoplastik GmbH, Unna, Germany) and how its mechanical properties can be tuned for improved mechanotherapy. A balance between compression and tension was achieved by tuning the tensile and shear properties, facilitating tension shielding and pressure redistribution for scar therapeutics. Biopor®AB-wrapping on biaxial-tensioned pressure garment fabric (PGF) allowed compression therapy and internal pressure redistribution. The Biopor®AB surface, with a coefficient of friction close to 1, strategically localizes stress for effective tension shielding. A substantial five-fold reduction in silicone tension, amounting to 1.060 N, achieves tension shielding and pressure redistribution. Simultaneously, a dynamic internal pressure-sharing mechanism distributes 0.222 kPa from each SPK-filament bundle, effectively managing internal pressure. Alongside the principle compression-silicone dual therapy, this composite design with dynamic internal pressure sharing and mechanical property tunability provides an additional pressure-relieving strategy for multiple scar therapeutics.
传统的疤痕治疗方法仅有单一的压力衣疗法(PGT)或硅凝胶薄片(SGS,Cica-Care®,Smith and Nephew,英国伦敦),缺乏机械性能的可调性。本文将讨论一种疤痕愈合复合材料(PGF-Biopor®AB,Dreve Otoplastik GmbH,德国乌纳),以及如何调整其机械性能以改进机械疗法。通过调整拉伸和剪切特性,实现了压缩和拉伸之间的平衡,有利于疤痕治疗中的张力屏蔽和压力再分布。在双轴张力压力衣织物(PGF)上包裹 Biopor®AB 可实现压力治疗和内部压力再分布。Biopor®AB 表面的摩擦系数接近 1,可对应力进行策略性定位,从而实现有效的张力屏蔽。硅胶张力大幅降低了五倍,达到 1.060 N,从而实现了张力屏蔽和压力再分布。与此同时,动态内部压力分担机制从每个 SPK 纤维束中分担 0.222 kPa 的压力,有效管理内部压力。除了压缩-硅胶双重治疗原理外,这种具有动态内部压力分担和机械性能可调性的复合设计还为多种疤痕治疗提供了额外的压力缓解策略。
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引用次数: 0
Study on Machining Quality in Abrasive Water Jet Machining of Jute-Polymer Composite and Optimization of Process Parameters through Grey Relational Analysis 黄麻-聚合物复合材料加砂水射流加工质量及灰色关系分析法工艺参数优化研究
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-01-08 DOI: 10.3390/jcs8010020
Murthy Brn, Rajendra Beedu, J. P K, S. Potti
Abrasive Water Jet Machining (AWJM) is a popular machining method used to machine polymer matrix composites that are sensitive to temperature. This method is non-thermal, and each input parameter has a significant effect on output parameters, such as material removal rate, kerf width, surface roughness, and the potential for delamination. To ensure high-quality machining, it is crucial to set these input parameters at their optimal level. This paper proposes a simple approach to predict the optimum process parameters of water jet machining operations on jute fiber-reinforced polymer composite (JFRPC). The process parameters considered are standoff distance (SOD), traverse speed (TS), and abrasive material flow rate (MFR). Conversely, surface roughness (Ra) and delamination (Da) are the output parameters. Process parameters are set using Taguchi’s L27 array, with consideration given to three levels of each input parameter. The best value for process parameters is found using grey relational analysis (GRA), and an ANOVA on GRA illustrates the impact of each input variable. After a confirmation test, it was found that the suggested parameters guarantee the best possible results.
加砂水射流加工 (AWJM) 是一种常用的加工方法,用于加工对温度敏感的聚合物基复合材料。这种方法是非热加工,每个输入参数都会对材料去除率、切口宽度、表面粗糙度和分层可能性等输出参数产生重大影响。为确保高质量加工,将这些输入参数设置在最佳水平至关重要。本文提出了一种简单的方法来预测黄麻纤维增强聚合物复合材料(JFRPC)水射流加工操作的最佳工艺参数。所考虑的工艺参数包括间距 (SOD)、横移速度 (TS) 和磨料流速 (MFR)。而表面粗糙度(Ra)和分层(Da)则是输出参数。使用田口 L27 阵列设置工艺参数,每个输入参数考虑三个等级。使用灰色关系分析(GRA)找出工艺参数的最佳值,并对 GRA 进行方差分析,以说明每个输入变量的影响。经过确认测试,发现所建议的参数可确保获得最佳结果。
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引用次数: 0
Thermomechanical Analysis of Thermoplastic Mono-Material Sandwich Structures with Honeycomb Core 带蜂窝芯的热塑性单一材料三明治结构的热力学分析
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-01-07 DOI: 10.3390/jcs8010018
T. Latsuzbaya, Peter Middendorf, D. Voelkle, Christoph Weber
The application of fiber-reinforced thermoplastic mono-material sandwich panels has many advantages, such as recyclability, reduction in processing cycle times, integration of additional elements by means of welding, and a great potential for in-line production. The most efficient way to produce a curved thermoplastic sandwich panel is thermoforming, which has several challenges. One of them is to achieve a higher thermal gradient in the panel. On the one hand, the temperature at the skin–core interface must exceed the softening point of the polymer to reach a sufficient bonding degree. On the other hand, the core should not be overheated and overloaded to avoid its collapse. Furthermore, several fiber distortions, such as wrinkles or buckles, can be developed during thermoforming. All these flaws have a negative impact on the mechanical performance of the sandwich structure. The objective of this study is the development of a simulation tool for the thermoforming process, which can replace the time-consuming trial-and-error-based method. Therefore, a coupled thermomechanical model was developed for a novel thermoplastic sandwich structure, which is able to predict the temperature distribution and its influence on the mechanical properties of the panel. Experimental trials were conducted to validate the thermomechanical forming model, which demonstrated a good agreement with numerical results.
纤维增强热塑性单一材料夹芯板的应用具有许多优点,例如可回收利用、缩短加工周期、通过焊接集成附加元件以及在线生产的巨大潜力。生产弧形热塑性夹芯板的最有效方法是热成型,但这种方法也面临一些挑战。其中之一就是要在板材中实现较高的热梯度。一方面,表皮-夹芯界面的温度必须超过聚合物的软化点,以达到足够的粘合度。另一方面,芯材不应过热和过载,以避免其崩溃。此外,在热成型过程中还会产生一些纤维变形,如皱褶或扣环。所有这些缺陷都会对夹层结构的机械性能产生负面影响。本研究的目的是为热成型过程开发一种模拟工具,以取代耗时的试错法。因此,针对新型热塑性夹层结构开发了一个热力学耦合模型,该模型能够预测温度分布及其对板材机械性能的影响。实验验证了热力学成型模型,结果表明该模型与数值结果非常吻合。
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引用次数: 0
Low-Pressure Plasma-Processed NiCo Metal–Organic Framework for Oxygen Evolution Reaction and Its Application in Alkaline Water Electrolysis Module 用于氧进化反应的低压等离子体处理镍钴金属有机框架及其在碱性水电解模块中的应用
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2024-01-07 DOI: 10.3390/jcs8010019
Yu-Lun Su, Shuo-En Yu, I‐Chih Ni, Chih-I Wu, Yong-Song Chen, Yi-Cheng Chuang, I-Chun Cheng, Jian-Zhang Chen
Ar, Ar/H2 (95:5), and Ar/O2 (95:5) plasmas are used for treating the NiCo metal–organic framework (MOF), and the plasma-processed NiCo MOF is applied for catalyzing the oxygen evolution reaction (OER) in a 1 M KOH electrolyte. Linear sweep voltammetry measurements show that after plasma treatment with Ar/H2 (95:5) and Ar gases, the overpotential reaches 552 and 540 mV, respectively, at a current density of 100 mA/cm2. The increase in the double-layer capacitance further confirms the enhanced oxygen production activity. We test the Ar plasma-treated NiCo MOF as an electrocatalyst at the OER electrode and Ru as an electrocatalyst at the hydrogen evolution reaction (HER) electrode in the alkaline water electrolysis module. The energy efficiency of the electrolyzer with the Ar plasma-processed NiCo-MOF catalyst increases from 54.7% to 62.5% at a current density of 500 mA/cm2 at 25 °C. The alkaline water electrolysis module with the Ar plasma-processed catalyst also exhibits a specific energy consumption of 5.20 kWh/m3 and 4.69 kWh/m3 at 25 °C and 70 °C, respectively. The alkaline water electrolysis module performance parameters such as the hydrogen production rate, specific energy consumption, and energy efficiency are characterized at temperatures between 25 °C and 70 °C. Our experimental results show that the NiCo MOF is an efficient OER electrocatalyst for the alkaline water electrolysis module.
使用氩气、氩气/H2 (95:5) 和氩气/氧气 (95:5) 等离子体处理镍钴金属有机框架 (MOF),并将等离子体处理后的镍钴金属有机框架用于催化 1 M KOH 电解质中的氧进化反应 (OER)。线性扫频伏安法测量结果表明,用 Ar/H2 (95:5) 和 Ar 气体进行等离子处理后,在 100 mA/cm2 的电流密度下,过电位分别达到 552 mV 和 540 mV。双层电容的增加进一步证实了制氧活性的增强。在碱性水电解模块中,我们测试了经氩等离子体处理的 NiCo MOF 作为 OER 电极的电催化剂和 Ru 作为氢进化反应(HER)电极的电催化剂。在 25 °C、电流密度为 500 mA/cm2 时,使用氩等离子体处理的 NiCo-MOF 催化剂的电解槽能效从 54.7% 提高到 62.5%。使用氩等离子体催化剂的碱性水电解模块在 25 °C 和 70 °C 条件下的能耗分别为 5.20 kWh/m3 和 4.69 kWh/m3。碱性水电解模块的性能参数,如制氢率、比能耗和能效,是在 25 °C 和 70 °C 温度下表征的。实验结果表明,镍钴 MOF 是碱性水电解模块的高效 OER 电催化剂。
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引用次数: 0
Removal of Levofloxacin by Activation of Peroxomonosulfate Using T-POMs@ZIF-67 利用 T-POMs@ZIF-67 活化硫酸过氧单胞菌去除左氧氟沙星
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2023-12-29 DOI: 10.3390/jcs8010013
Yihao Zhang, Ning Kang, Shipu Jiao, Yang Li, Xu Zhang, Xianhua Liu
The pyrolysis of metal-organic frameworks (MOFs) is a popular strategy for the synthesis of nanoporous structures. Polymetallic oxides (POMs) are a class of polyhedral structural compounds with unique physicochemical properties. Little effort has been paid to evaluate MOF-POM hybrid-derived materials for peroxomonosulfate (PMS) activation. In this study, a cobalt-based MOF, ZIF-67, together with three types of POMs (phosphomolybdic acid, silicotungstic acid, and phosphotungstic acid), were used as precursors for the synthesis of PMS activation catalyst via pyrolysis. Three T-POMs@ZIF-67 nanohybrids (T-PMo@ZIF-67, T-SiW@ZIF-67, and T-PW@ZIF-67) were obtained by pyrolyzing the prepared precursors at 500 °C. Furthermore, the prepared T-POMs@ZIF-67 nanomaterials were evaluated for the catalytic activation of PMS in the degradation of levofloxacin (LEV). The results showed that the LEV degradation rate could reach 91.46% within 30 min under the optimized conditions when T-PW@ZIF-67 was used as the PMS activation catalyst. The catalytic efficiency of the catalyst decreased by only 9.63% after five cycles, indicating that the material has good stability. This work demonstrates the great potential of POMs@MOF derivatives for application in the field of wastewater treatment.
热解金属有机框架(MOFs)是合成纳米多孔结构的一种常用策略。多金属氧化物(POMs)是一类具有独特物理化学特性的多面体结构化合物。在评估 MOF-POM 混合衍生材料对过氧单胞硫酸酯(PMS)的活化作用方面,目前还鲜有研究。本研究以钴基 MOF ZIF-67 和三种 POM(磷钼酸、硅钨酸和磷钨酸)为前驱体,通过热解合成了 PMS 活化催化剂。通过在 500 °C 下热解所制备的前驱体,得到了三种 T-POMs@ZIF-67 纳米杂化物(T-PMo@ZIF-67、T-SiW@ZIF-67 和 T-PW@ZIF-67)。此外,还评估了所制备的 T-POMs@ZIF-67 纳米材料在左氧氟沙星(LEV)降解过程中对 PMS 的催化活化作用。结果表明,以T-PW@ZIF-67作为PMS活化催化剂,在优化条件下,30分钟内左氧氟沙星的降解率可达91.46%。五次循环后,催化剂的催化效率仅下降了 9.63%,表明该材料具有良好的稳定性。这项工作证明了 POMs@MOF 衍生物在废水处理领域的巨大应用潜力。
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引用次数: 0
Diagonal Compression Tests on Unfired and Fired Masonry Wallettes Retrofitted with Textile-Reinforced Alkali-Activated Mortar 用纺织品加固碱活性砂浆加固的未烧和已烧砌体 Wallettes 的对角线压缩试验
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2023-12-29 DOI: 10.3390/jcs8010014
Andres Arce, Panagiotis Kapsalis, C. Papanicolaou, T. C. Triantafillou
This paper discusses the integration of an alkali-activated mortar (AAM), based on industrial waste, into a novel composite material fit for structural upgrading purposes and rendered with high temperature endurance and a low CO2 footprint. The AAM combined with carbon fiber textiles form a new generation of sustainable inorganic matrix composites—that of textile-reinforced alkali-activated mortars (TRAAM). A test program was designed to assess the effectiveness of carbon TRAAM overlays in increasing the shear capacity of masonry wall specimens comprising solid clay bricks bonded with lime-based mortar and furnished with TRAAM jackets on both sides. The initial and the residual capacity of the reinforced walls were evaluated, the latter by performing diagonal compression tests after exposure to 300 °C and 550 °C. It was shown that TRAAM jacketing can increase the shear capacity of unfired masonry walls by 260% and 335% when a single or a double layer of textile is used, respectively. Rapid heating to temperatures up to 550 °C, one-hour-long steady-state heating, and natural cooling bore no visible thermal cracks on the specimens and had little effect on their residual capacity. Based on these results, the prospect of using TRAAM for retrofitting applications for fire-resilient structures seems very auspicious.
本文讨论了如何将一种基于工业废料的碱活性砂浆(AAM)整合到一种新型复合材料中,这种材料适用于结构升级,具有耐高温和二氧化碳排放量低的特点。碱活性砂浆与碳纤维纺织品相结合,形成了新一代可持续无机基复合材料--纺织品增强碱活性砂浆(TRAAM)。我们设计了一个测试程序,以评估碳纤维 TRAAM 覆盖层在提高砌体墙试样抗剪能力方面的有效性,该试样由实心粘土砖组成,粘结有石灰基砂浆,两面都有 TRAAM 护套。我们评估了加固墙体的初始承载力和剩余承载力,后者是通过在暴露于 300 °C 和 550 °C 温度后进行对角压缩试验来实现的。结果表明,当使用单层或双层织物时,TRAAM 护套可将未烧制砌体墙的抗剪能力分别提高 260% 和 335%。快速加热至 550 °C、一小时稳态加热和自然冷却都不会在试样上产生明显的热裂缝,对其剩余承载力的影响也很小。基于这些结果,将 TRAAM 用于耐火结构改造的前景似乎非常乐观。
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引用次数: 0
Fatigue Analysis of Printed Composites of Onyx and Kevlar 缟玛瑙和凯夫拉尔印刷复合材料的疲劳分析
IF 3.3 Q2 MATERIALS SCIENCE, COMPOSITES Pub Date : 2023-12-29 DOI: 10.3390/jcs8010012
Moises Jimenez-Martinez, Julio Varela-Soriano, Julio S. De La Trinidad-Rendon, S. G. Torres-Cedillo, Jacinto Cortés-Pérez, Manuel Coca-Gonzalez
The transformation of powertrains, powered by internal combustion engines, into electrical systems generates new challenges in developing lightweight materials because electric vehicles are typically heavy. It is therefore important to develop new vehicles and seek more aesthetic and environmentally friendly designs whilst integrating manufacturing processes that contribute to reducing the carbon footprint. At the same time, this research explores the development of new prototypes and custom components using printed composite materials. In this framework, it is essential to formulate new approaches to estimate fatigue life, specifically for components tailored and fabricated with these kinds of advanced materials. This study introduces a novel fatigue life prediction approach based on an artificial neural network. When presented with given inputs, this neural network is trained to predict the accumulation of fatigue damage and the temperature generated during cyclic loading, along with the mechanical properties of the compound. Its validation involves comparing the network’s response with the load ratio result, which can be calculated using the fatigue damage parameter. Comparing both results, the network can successfully predict the fatigue damage accumulation; this implies an ability to directly employ data on the mechanical behavior of the component, eliminating the necessity for experimental testing. Then, the current study introduces a neural network designed to predict the accumulated fatigue damage in printed composite materials with an Onyx matrix and Kevlar reinforcement.
由内燃机驱动的动力系统转变为电气系统,给轻质材料的开发带来了新的挑战,因为电动汽车通常很重。因此,开发新的汽车,寻求更美观、更环保的设计,同时整合有助于减少碳足迹的制造工艺非常重要。与此同时,本研究还探讨了使用印刷复合材料开发新原型和定制组件的问题。在此框架下,必须制定新的疲劳寿命估算方法,特别是针对使用这类先进材料定制和制造的组件。本研究介绍了一种基于人工神经网络的新型疲劳寿命预测方法。在给定输入的情况下,经过训练的神经网络可以预测疲劳损伤的累积、循环加载过程中产生的温度以及化合物的机械性能。其验证包括将网络响应与载荷比结果进行比较,载荷比结果可通过疲劳损伤参数计算得出。比较这两个结果,该网络可以成功预测疲劳损伤的累积;这意味着它可以直接利用部件机械行为的数据,而无需进行实验测试。随后,本研究介绍了一种神经网络,旨在预测采用缟玛瑙基体和凯夫拉增强材料的印刷复合材料的累积疲劳损伤。
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引用次数: 0
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