68 research outputs found
Wear Characterization of Aluminium/Basalt Fiber Reinforced Metal Matrix Composites - A Novel Material
Aluminum alloy based metal matrix composite participate have a wider applications in wear resistance applications. Attempt made in current study is that, basalt fiber reinforced aluminum metal matrix composite have been prepared using stir casting method. Different weight percentage of basalt fiber reinforced with Al (6061) metal matrix composites are used to study the wear resistance of the composites. For wear study, percentage of reinforcement, normal load and sliding velocity are the considered as important parameters. To study the effect of basalt fiber reinforcement on the dry sliding wear of Al6061 alloy composites the Pin On wear tester is used. Initially hardness of the composites was tested, it was found that increasing reinforcement in the composite hardness value of the composites also increased. Based on the Grey relation analysis (GRA) the effects of wear resistance of the composites were studied
Machine learning approach to the possible synergy between co-doped elements in the case of LiFePO4/C
This study investigates the synergistic effects produced by the co-doping of several components in the LFP/C structure. To execute this work, a dataset was initially created from the existing literature, encompassing information on doped LFP structures by a singular element. Numerous intrinsic and extrinsic characteristics, such as atomic number, valence, relative variations in atomic and ionic radii of Fe and Li, electronegativity, molar percentage of dopant, and C-rate, were evaluated. The optimal selection of features leading to satisfactory model training was achieved by analyzing the Pearson correlation coefficient factors. Subsequently, two machine learning algorithms (i.e., Random Forest and Gaussian Process Regression) were trained using the optimized feature set. The two models were evaluated, and the model with superior predictive power was chosen for further study. An analysis of the synergistic effect of two co-dopants was conducted by comparing the actual specific discharge capacities with the expected values derived from the superimposition of the machine learning predictions. Ultimately, experimental validation was conducted by synthesizing several unique LiYxNdyFe1-x-yPO4/C (Nd = 0.06, 0.02 <Y<0.08) samples using solid-state methods. The synthesized powders underwent relevant testing, including SEM, TEM, CV, EIS, and GD. Finally, based on the best ML scheme developed and experimental results, another ML scheme was developed to analyze the possible synergic effects that co-dopants may exhibit regarding the specific discharge capacity of co-doped LFP structures.© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)fi=vertaisarvioitu|en=peerReviewed
Effect of Moisture Absorption Behavior on Mechanical Properties of Basalt Fibre Reinforced Polymer Matrix Composites
The study of mechanical properties of fibre reinforced polymeric materials under different environmental conditions is much important. This is because materials with superior ageing resistance can be satisfactorily durable. Moisture effects in fibre reinforced plastic composites have been widely studied. Basalt fibre reinforced unsaturated polyester resin composites were subjected to water immersion tests using both sea and normal water in order to study the effects of water absorption behavior on mechanical properties. Composites specimens containing woven basalt, short basalt, and alkaline and acid treated basalt fibres were prepared. Water absorption tests were conducted by immersing specimens in water at room temperature for different time periods till they reached their saturation state. The tensile, flexural, and impact properties of water immersed specimens were conducted and compared with dry specimens as per the ASTM standard. It is concluded that the water uptake of basalt fibre is considerable loss in the mechanical properties of the composites.</jats:p
Morphological investigation and mechanical behaviour of agrowaste reinforced aluminium alloy 8011 for service life improvement
Aluminium composite materials are beneficial in most engineering applications, most notably, because of their
lightweight to strength ratio amongst many others. This study reports the reinforcement of aluminium alloy 8011
with cow horn and corncob in varying weight percentages of 5wt%, 10wt%, 15wt% and 20wt%. This study
adopted the Stir casting method based on availability and cost-effectiveness as the cheapest method amongst
others. The developed composite materials were in eight different samples alongside one control sample of the
aluminium alloy base material. The samples used for this experimental study were tested for tensile strength,
hardness and microstructural analysis. The outcome of the study shows that the sample with 20wt% of cow horn
reinforcement gave the best-improved properties in terms of yield strength, ultimate tensile strength (UTS) and
hardness with percentage improvement of 57%, 52.6% and 54.4% respectively. Hardness was also improved with
52.6% over the control sample with the 15wt% cow horn reinforced sample. Cow horn of 10wt% reinforcement
improved the material by 61%. The results shown have justified the relevant effect of agro-waste materials in
composite development
Performance improvement of software-based system using an integrated approach &ndash; a case study
Parameters design and performance analysis of a software-based mechatronics system using Taguchi robust design - a case study
Effective Software Assembly for the Real time systems using Multi-level Genetic Algorithm
Abstract: Software Assembly of reusable components is one of the most important processes to improve the reliability of the product in the Commercial Off The Shelf (COTS) software. Software assembly and also continuous improvement of quality in software based systems is an important issue in software development process. In this paper, a multilevel genetic algorithm is used to find the sequence of the assembly order of the software components among the chosen reusable components. In GA, dependency between the components is also considered based on coupling factor and the assembly order of the identified software component is found effectively
Free vibration and dynamic mechanical properties of basalt fiber reinforced polymer composites
265-270In this study, the free vibration and dynamic mechanical properties of the surface modified basalt fiber reinforced polymer composites have been investigated. The surface modification of fiber has been carried out with 1N solution. Untreated, acid treated and base treated basalt fiber composites were prepared using Hand layup technique. Fourier transform infrared spectroscopes (FTIR) were used for the study of the effect of surface treatment on fibers. The natural frequencies and damping coefficient of the laminated composites have been analyzed using an impact hammer. The result showed better natural frequencies in the untreated basalt fiber composites than composites prepared with treated fiber. Dynamic mechanical analysis (DMA) was also carried out to find the mechanical properties of the composites as a function of temperature, in this analysis also, Untreated basalt fiber composite were found to possesses good storage modulus, loss modulus and damping factor
Hybridization effects on tensile and bending behavior of aramid/basalt fiber reinforced epoxy composites
Power aware multiple QoS constraints routing protocol with mobility prediction for MANET
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