Variation Of Electrical Resistivity Research Articles

Fiber random contact model for evaluating electrical resistance variation of carbon fiber composites under various damage modes

AbstractThe variations in electrical resistance of carbon fiber composites under different damage modes are critical for the design of electrically conductive components. Here, we developed a fiber random contact model to analyze the changes in electrical resistance of carbon fiber composites subjected to various damage scenarios. An ideal rectangular grid was constructed in matrix form utilizing the nodal voltage and current method. The electrical resistance of each fiber branch was calculated based on the normal distribution of fiber orientation angles. To simulate the random distribution of contact branches among fiber contact points within the resistor network, contact branches were randomly removed from the ideal rectangular grid. The electric conductive properties of carbon fiber tows, unidirectional carbon fiber composites, and 3D woven carbon fiber composites were measured to validate the fiber random contact model. The findings are anticipated to contribute to the optimization of carbon fiber composites for electrical applications.Highlights Fiber random lap model for evaluating electrical behavior was developed. The conductive behaviors of the composites were measured. Electrical resistance variation under various damages was investigated.

Assessing Corrosion Effects on the Electrical Performance of Wearable Photovoltaic Cells: A Comparative Analysis of Current Consistency and Resistance.

Wearable photovoltaic (PV) cells offer a sustainable and lightweight solution for energy-harvesting applications, including safety gear and protective textiles. Despite their growing adoption, the application of PV cells in marine environments is limited due to the corrosive conditions that can degrade performance. This study evaluates the impact of corrosion on commercially sourced PV cells by analyzing maximum current and electrical resistance. This study used eight samples of two types of PV panel cells and tested them in corrosion conditions, and current and electrical resistance values were recorded. A paired sample t-test was used to assess variations in current and electrical resistance, while a repeated MANOVA compared the performance of two sample types during corrosion. The results reveal that corrosion significantly reduced current values and increased electrical resistance in Sample Type (1), while Sample Type (2) remained relatively stable. The MANOVA findings show a significant decrease in current for both samples, though the magnitude of reduction is similar between types. However, when combining both sample types, corrosion has no significant effect on electrical resistance. These results highlight the need for developing more durable, corrosion-resistant PV cells suitable for marine applications, emphasizing their potential for sustainable and practical use in harsh environments.

The Small-Strain Stiffness Properties of Clay-Gravel Mixture Subjected to Freeze-Thaw Cycles

Abstract In this paper, the resonant column tests were utilized to examine the small-strain stiffness and attenuation of clay-gravel mixture (CGM) under various effective consolidation pressures and freeze-thaw cycles, on the basis of investigating the electrical resistivity variation trend of CGM samples undergoing various freeze-thaw cycles. It is shown that the resistivity of CGM tends to stabilize when the freeze-thaw cycles (N) reach 9, and, thus, the samples after 0, 3, 6, 9, and 12 cycles were selected for resonance column testing. The results show that, once N > 9, the decay in dynamic shear modulus demonstrates a weakened association with N and the stiffness degradation effect of freezing-thawing would be weakened and inhibited by high effective consolidation stress. Additionally, a mathematical model was constructed to predict the maximum dynamic shear modulus (Gmax) in the basis of freeze-thaw cycles and effective consolidation stress. Microscopic analysis results suggest that the freeze-thaw effect on CGM lies in the development of soil aggregates and porosity variation within the fine-grained soil. Compared to gravel soils and frozen soil, the cementation of matrix soil and the effect of blocky structure are considered as fundamental reasons for the improved small-strain stiffness and reduced vulnerability to freeze-thaw cycles of CGM.

Electrospun Mats of Thermoplastic Polyurethane and Carbon Nanotubes with Piezoresistive Behavior

AbstractElectromechanical sensors obtained by electrospun mats have a high surface area and porosity, allowing superior flexibility and sensitivity of response to the sensor. Based on this context, in this work, electrospun mats based on thermoplastic polyurethane (TPU) and multi‐wall carbon nanotubes (MWCNTs) are produced by electrospinning. The electrical resistivity under different compressive stress levels is evaluated in recurring loading and unloading cycles. Incorporating MWCNT increases the elastic modulus and thermal stability but does not significantly increase the electrical conductivity. However, the electrospun mats with different concentrations of MWCNT show variation in electrical resistivity under compressive stress. The response is stable with a compressive stress of 0.25 MPa and five cycles of compression and decompression, with a variation in the relative resistivity of approximately −0.8 for all MWCNT concentrations. A similar response is observed with the increasing of the compressive stress to 0.5 MPa.

Electrical resistivity variations as a result of natural-technogenic seismicity in the Gorlovka depression of the Altai-Sayan folded region according to electrical tomography data

Relevance. In the last decade, the intensity of development of the Gorlovka coal deposit in Novosibirsk region has significantly increased, which leads to the formation of seismic activation of the subsoil of the Gorlovka depression in response to technogenic impact. Since 2019, earthquakes with a magnitude of more than 4 have been recorded in the field area, felt in Novosibirsk and its suburbs. Currently, damage from natural disasters has been rapidly growing. This happens due to many reasons, such as urbanization, population growth, man-made changes in the geological environment, construction of high-risk facilities that contribute to the activation of negative processes. Therefore, the development of trustworthy criteria for the assessment, forecast and consequences of natural and man-made hazardous phenomena is an urgent task. Timely identification of dangerous geological processes will make it possible to develop and implement measures to prevent and eliminate emergencies of a natural and man-made nature. Aim. Analysis of the results of regular observations by electrical tomography along a profile crossing the fault zone at the study site in the Gorlovka trough for further development of measurement techniques and software for automated processing and interpretation of monitoring data. Methods. Field works, quantitative interpretation Results and conclusions. The authors have obtained the first results of regular observations using electrical tomography along a profile crossing the fault zone at the study site in the Gorlovka trough, interpreting field data using the modernized DiInSo software package. It was found that the identified variations in geoelectric parameters reflect the response of the geological environment both to earthquakes occurring during the observation period and to man-made impacts (explosions). Furthermore, it is demonstrated that the fluctuations magnitude is influenced by the earthquake magnitude.

Structure-engineered tellurium for enhancing H2S gas sensing properties at room temperature

Tellurium nanostructures were utilized as a gas sensing material to detect hydrogen sulfide gases at room temperature. Te nanostructures were synthesized by a galvanic displacement reaction of nickel particles as a sacrificial material. The morphologies of Te hollow spheres and branched Te hollow spheres were controlled by the concentration of the employed HTeO2+. The branched Te hollow spheres were formed by additional nucleation and growth of Te branches on the surface of Te hollow sphere in high concentration of HTeO2+. Compared to the room temperature sensing properties of Te hollow spheres, the branched Te hollow spheres showed the significantly enhanced sensitivity. The improved performance in the branched Te hollow spheres is attributed to the increased specific surface area, larger variation of hole accumulation layer for carrier transport, and especially drastic variation of electrical resistance in the increased junction potentials between the branches. Additionally, the branched Te hollow spheres showed strong selectivity for H2S over other gases such as NO2, SO2, and H2, making them highly effective for detecting H2S at room temperature.

High Performance Conductive Composites and E-skins with Large-scale Manufacturing for Wearable Electronic Sensor Systems

Objective: High performance wearable sensors for biological and bio-technological recognition of human epidermal movements and muscle tissue deformations are attracting widespread attention and demonstrate fascinating potential for future wearable electronics. Methods: This work demonstrates conductive networks and film cracks-based stretchable strain sensors using carbonic sensing layers / mold star silicone elastomer nanocomposites. Results: The as-fabricated stretchable strain sensors demonstrate captivating superiority, including simplicity in the fabrication steps and ultra-high strain sensitivity far exceeding recently reported state-of-the-art strain sensors. Prominently, the stretchable strain sensors exhibit dazzling piezoresistivity with a high gauge factor of 2,185 and a wide sensing range of 30% strain. The working mechanism depends on the electrical resistance variations, which is strikingly altered by a percolating network crack surface microstructure due to strain concentration during tensile deformations. The ultra-sensitive sensing performance in conjunction with a wide sensing range, prominent linearity (R2>0.99 in the strain range of 15-30%), excellent reversibility characteristics and remarkable durability (more than 1,300 stretch-release cycles under a large-scale strain of 30%) for large-scale tensile deformations. Conclusion: The stretchable strain sensors to be employed as wearable strain monitoring devices for the diverse-range of practical applications, including but not confined to multi-scale monitoring, electronic skins, smart robotics, human-machine / computer interfaces, as well as sports performance monitoring.

Eddy Current Measurement of Electrical Resistivity in Heat-Treated Zr-2.5%Nb Pressure Tubes.

Zr-2.5%Nb pressure tubes (PTs) house uranium fuel bundles in the fuel channels of CANDU® nuclear reactors. Preventing a failure mode caused by contact of the PT with an outer calandria tube (CT) is performed by inspection using eddy current (EC) testing and ultrasonic testing (UT) to measure the PT-CT gap. EC gap measurements are particularly sensitive to circumferential variation of the PT's electrical resistivity due to microstructural variations. A full-factorial experiment was performed to examine the statistical significance of variations in the EC test parameters and manufacturing conditions on the average circumferential electrical resistivity of as-manufactured PTs. It was found that 79% of the variance in the data could be attributed to variations caused by any of the test factors or combinations of test factors. The parameters that accounted for the majority of the variance were: (1) heat treatment (HT); (2) HT and EC frequency; (3) probe inner or outer surface placement; and (4) EC frequency. Measurements of circumferential resistivity showed up to ±2.3% variation from the average of either surface. HT caused the average PT resistivity to decrease at a rate of 1.53±0.08 μΩ·cmlog⁡hr and 1.1±0.4μΩ·cmlog⁡hr for inner and outer PT surfaces, respectively. The results are correlated with differences reported in the literature in the average βZr ribbon thickness in the axial-transverse cross-section between inner and outer PT surfaces. The results demonstrate potential for EC-based resistivity measurements to characterize variations and changes in the microstructure of Zr-2.5%Nb PT material.

Three-Dimensional Printed Nanocomposites with Tunable Piezoresistive Response.

This study explores a novel approach to obtaining 3D printed strain sensors, focusing on how changing the printing conditions can produce a different piezoresistive response. Acrylonitrile butadiene styrene (ABS) filled with different weight concentrations of carbon nanotubes (CNTs) was printed in the form of dog bones via fused filament fabrication (FFF) using two different raster angles (0-90°). Scanning electron microscopy (SEM) and atomic force microscopy (AFM) in TUNA mode (TUNA-AFM) were used to study the morphological features and the electrical properties of the 3D printed samples. Tensile tests revealed that sensitivity, measured by the gauge factor (G.F.), decreased with increasing filler content for both raster angles. Notably, the 90° orientation consistently showed higher sensitivity than the 0° orientation for the same filler concentration. Creep and fatigue tests identified permanent damage through residual electrical resistance values. Additionally, a cross-shaped sensor was designed to measure two-dimensional deformations simultaneously, which is applicable in the robotic field. This sensor can monitor small and large deformations in perpendicular directions by tracking electrical resistance variations in its arms, significantly expanding its measuring range.

Polyethylene microplastic pollution changes the electrical resistance and thermal conductivity of loess soil

While plastics provide convenience, they also endanger the safety of the natural environment. Microplastic pollution caused by plastic aging has become an urgent concern in public places. In order to study the effects of microplastics on soil physical properties, the electrical resistance and thermal conductivity of soils containing different polyethylene and moisture content were tested. The results show that polyethylene have two effects on soil electrical resistance: one is that the plastic particles increase electrical resistance, and the other is that the electrostatic field carried by the plastic particles reduces electrical resistance. The effect of the two factors is balanced by the content of polyethylene at 6–8%. When the polyethylene content of the soil was 6% and 10%, the coefficients of electrical resistance variation were 0.89, 0.67, 0.85, 0.96, 0.97, 0.99 and 0.95, 0.68, 0.71, 0.93, 0.95, 0.96, respectively. Polyethylene alters soil properties by affecting water distribution through hydrophobicity. The water content gradually increases to 10%, the liquid conduction area inside the soil increases, and the higher the soil's ability to conduct electricity and heat. The results can provide theoretical reference for evaluating and controlling soil microplastic pollution.

Enhancing weathered slope stability assessment through the integration of slake durability index, elastic modulus of knocking ball, and electrical resistivity tomography.

This research assesses the stability of sedimentary rock slopes in Teloi, Sik, Kedah, by focusing on the mechanical properties of the rock layers and their susceptibility to weathering. Key tests include the slake durability index (SDI), elastic modulus of knocking ball (Ekb), and electrical resistivity tomography (ERT). The incorporation of electrical resistivity tomography (ERT) data through the virtual reality platform facilitates the visualization of subsurface conditions. The variability of strength characteristic of interbedded sedimentary rocks leads to the differential weathering of rock layers, which causes deterioration on the slope structure. The testing revealed significant variability in rock strength, with sandstone displaying higher durability (Id > 17.1%) and elasticity (Ekb: 0.97 to 29.31 GPa) compared to shale and siltstone, which exhibited lower durability and elasticity (Id < 2.2%, Ekb: 0.2 to 2.2 GPa). Utilizing the Wenner array setup, three distinct electrical resistivity lines were established to evaluate subsurface anomalies. The ERT profiles revealed variations in electrical resistivity among different rock types, identifying areas of weaker material, which are siltstone and shale, while high resistivity areas indicate sandstone. Kinematic analysis through the stereonet process revealed direct toppling as the primary failure mechanism, driven by the critical orientations of joint sets J1, J2, and J3. This aligns with on-site observations of hanging sandstone blocks prone to toppling failure. The findings of this research show that the slake durability index (SDI) and the elastic modulus of the knocking ball (Ekb) enhance the assessment of mechanical properties and weathering resistance of interbedded sedimentary rocks. The virtual reality platform was particularly helpful in analyzing and visualizing the sub-surface conditions and enhancing the evaluation of complex geological data. As a conclusion, this integrated method was helpful in the comprehensive geotechnical evaluation of the slopes, enabling the selection of effective stabilization measures by assessing the differential weathering of interbedded sedimentary rock and identifying potential failure zones.

Pressure-induced amorphization in α-GeO2: Structural evolution and improved dielectric properties

In this paper, we report the investigation of the structure evolution and dielectric properties of α-GeO2 under compression using in-situ Raman spectroscopic measurements, alternate current impedance spectroscopic measurements, and first-principal calculations. It is discovered that the coordination number of Ge in α-GeO2 increases from 4 to 6 at 5.0 GPa, while an amorphous state forms at 11.5 GPa and maintains to ambient conditions. The alternate current impedance spectroscopy measurements revealed that the variation of electrical resistance shows opposite tendencies at pressures against that of the coordination number. This phenomenon is ascribed to the pressure-induced emergence of unbonded oxygen atoms, and thus the increase of the concentration of oxygen ions in the GeO4 tetrahedra. Meanwhile，it is found that the application of pressure-induced amorphization improves the dielectric properties to a certain extent, which is of significant importance to provide a valuable approach for the synthesis of amorphous oxides with better dielectric properties.

One‐dimensional deep learning inversion of marine controlled‐source electromagnetic data

AbstractThis paper explores the application of machine learning techniques, specifically deep learning, to the inverse problem of marine controlled‐source electromagnetic data. A novel approach is proposed that combines the convolutional neural network and recurrent neural network architectures to reconstruct layered electrical resistivity variation beneath the seafloor from marine controlled‐source electromagnetic data. The approach leverages the strengths of both convolutional neural network and recurrent neural network, where convolutional neural network is used for recognizing and classifying features in the data, and recurrent neural network is used to capture the contextual information in the sequential data. We have built a large synthetic dataset based on one‐dimensional forward modelling of a large number of resistivity models with different levels of electromagnetic structural complexity. The combined learning of convolutional neural network and recurrent neural network is used to construct the mapping relationship between the marine controlled‐source electromagnetic data and the resistivity model. The trained network is then used to predict the distribution of resistivity in the model by feeding it with marine controlled‐source electromagnetic responses. The accuracy of the proposed approach is examined using several synthetic scenarios and applied to a field dataset. We explore the sensitivity of deep learning inversion to different electromagnetic responses produced by resistive targets distributed at different depths and with varying levels of noise. Results from both numerical simulations and field data processing consistently demonstrate that deep learning inversions reliably reconstruct the subsurface resistivity structures. Moreover, the proposed method significantly improves the efficiency of electromagnetic inversion and offers significant performance advantages over traditional electromagnetic inversion methods.

Smart Carbon Fiber-Reinforced Polymer Composites for Damage Sensing and On-Line Structural Health Monitoring Applications.

High electrical conductivity, along with high piezoresistive sensitivity and stretchability, are crucial for designing and developing nanocomposite strain sensors for damage sensing and on-line structural health monitoring of smart carbon fiber-reinforced polymer (CFRP) composites. In this study, the influence of the geometric features and loadings of carbon-based nanomaterials, including reduced graphene oxide (rGO) or carbon nanofibers (CNFs), on the tunable strain-sensing capabilities of epoxy-based nanocomposites was investigated. This work revealed distinct strain-sensing behavior and sensitivities (gauge factor, GF) depending on both factors. The highest GF values were attained with 0.13 wt.% of rGO at various strains. The stability and reproducibility of the most promising self-sensing nanocomposites were also evaluated through ten stretching/relaxing cycles, and a distinct behavior was observed. While the deformation of the conductive network formed by rGO proved to be predominantly elastic and reversible, nanocomposite sensors containing 0.714 wt.% of CNFs showed that new conductive pathways were established between neighboring CNFs. Based on the best results, formulations were selected for the manufacturing of pre-impregnated materials and related smart CFRP composites. Digital image correlation was synchronized with electrical resistance variation to study the strain-sensing capabilities of modified CFRP composites (at 90° orientation). Promising results were achieved through the incorporation of CNFs since they are able to form new conductive pathways and penetrate between micrometer-sized fibers.

Laser powder bed fusion of NbTi low-temperature superconductors

This study investigates the superconducting properties of additive manufactured in-situ NbTi alloy using laser powder bed fusion. Laser parameters were optimised for a maximum microstructural density and lowest Nb segregation fraction. These characters have been achieved at the sample built with an energy density of 3.33 J/mm2, where it shows a density value of 6.12 g/cm3, undissolved Nb fraction of 0.05 %, and randomly distributed equiaxed grains with an average size of 10–20 μm. Post-processing of the as-fabricated (AF) sample was explored as a route to collapse residual porosity and dissolve residual segregated Nb particles using hot isostatic pressing (HIP) and heat treatment, respectively. HIPing resulted in a decrease of the undissolved Nb particle fraction to 0.035 %. Heat treatment at 1250 °C for 24 h, followed by aging at 400 °C for 2 h, was found to result in the complete dissolution of Nb particles and precipitation of the ɑ-Ti phase that works as pinning centres to increase the superconducting properties. The grain size increased in both post-processes to 400–500 μm. Electrical and magnetic properties were also measured for the AF, HIP and heat-treated samples. The thermal variation of electrical resistivity showed a critical temperature (Tc) range of 9.8–9.0 K, 9.6–9.1 K and 9.9–8.8 K for the AF, HIP, and heat-treated samples, respectively, which were close to the values obtained from magnetic measurements. The critical current density (Jc) was calculated using Bean’s model employing the magnetic hysteresis loops. The AF condition showed a negligible value of Jc (5 × 10−3 kA/mm2), which improved to 0.28 kA/mm2 and 2.65 kA/mm2 for the HIPed, heat treated conditions, respectively (at 4.2 K, 5 T). Mechanical tensile testing was performed for the heat-treated sample to ensure both mechanical and superconducting properties would achieve the required performance, where achieves ultimate tensile strength value of 930 MPa, with 8 % elongation.

Piezoresistive response and self-sensing properties of UHPC reinforced with recycled carbon fibers

This research explores Ultra-High-Performance Concrete (UHPC) reinforced with recycled carbon fibers to verify its potential application in self-sensing concrete for structural health monitoring. The improved electrical conductivity due to the inclusion of carbon fibers enables the emergence of piezoresistivity, transforming UHPC into a sensitive sensor for detecting mechanical stresses. By incorporating various characterization tests alongside investigations into fiber type (loose versus fibrillated sheets) and content variations, the study aims to establish a correlation between the electrical properties and the resulting piezoresistive response. Resistivity will be measured using impedance scanning, while piezoresistivity will be determined through loading and unloading cycles with a datalogger recording the variations in electrical resistance. The inclusion of carbon fibers suggests an improvement in mechanical performance, up to 42 % in flexural strength and 26 % in compression compared to UHPC without fibers. Resistivity ranges from 1 to 2 Ω⋅m and gauge factor reach 38. These results are comparable to those reported in other studies on UHPC with carbonaceous additions, highlighting the potential of recycled carbon fibers as a sustainable and effective reinforcement strategy.

Phase field study on the grain size dependent electrical resistivity-strain response in superelastic nanocrystalline NiTi alloys

The superelastic NiTi alloy's electrical resistivity exhibits significant variations in response to deformation, making it a highly attractive material for sensing applications. However, there exists a lack of comprehensive knowledge of the effects of grain size (GS) on the electrical properties of NiTi alloy. To address this gap, a novel electro-mechanical coupled phase field simulation model is developed, with crucial parameters determined through experimental investigations. The results demonstrate a notable change in the relationship between electrical resistivity and strain, transitioning from a quasi-linear pattern to a piecewise nonlinear one as the GS increases. The observed modification is found to be primarily influenced by the martensitic transformation, characterized by a transition from a uniform mode to a localized mode. As the GS increases, there is an initial drop in the total change of electrical resistivity at peak strain, followed by a subsequent stabilization. This is because the GS, through the stress and the degree of phase transformation, exerts two opposing effects on the variation of electrical resistivity. Furthermore, the combined influence of hysteresis and hysteresis in the martensite fraction contributes to a consistent decrease in resistivity hysteresis as the GS diminishes. This study improves the understanding of how GS affects NiTi alloy's electrical resistivity-strain response and lays the foundation for future sensing performance regulation, expanding its multi-functionality as an intelligent material.

Exploring the room temperature chemiresistive LPG and humidity sensing properties of MWCNT/TiO2 nanocomposite with DFT interpretations

A nano-sized multi-walled carbon nanotube/titanium dioxide (MWCNT/TiO2) composite gas sensing material was synthesized using the chemical vapor deposition method and extensively characterized through advanced techniques. Scanning electron microscopy (SEM) revealed a microporous surface featuring a cross-linked nanotube structure in the thin film. The bandgap, determined from absorption spectra, was calculated to be 3.89 eV. Electrical resistance variations in response to liquefied petroleum gas (LPG) concentrations (0.5–2 vol%) were systematically recorded over time, with the maximum %sensor response of 423.2 at 2 vol%, indicating high sensitivity. The sensor response towards humidity was found as 1.05 MΩ/%RH at room temperature. The limit of detection (LOD) for LPG by using MWCNT/TiO2 at room temperature was found to be 0.063 vol%. Ab initio density functional theory (DFT) calculations provided insights into the adsorption mechanisms of LPG and H2O on the CNT/TiO2 surface, assessing changes in ionization potential, HOMO-LUMO gap, and electronegativity upon interaction with hydroxyl and CnH2n+2 groups. This comprehensive approach highlights the development of a robust, cost-effective, and technologically advanced sensor for LPG and humidity detection.

Contact pressure in the proton exchange membrane fuel cell: Development of analytical models based on experimental investigation and a posteriori design of experiments

To understand the link between the physical properties of the Gas Diffusion Layer (GDL) and the overall performance of a Proton Exchange Membrane Fuel Cell (PEMFC), it is essential to investigate the impact of compressive loading on the physical parameters of the component, focusing on its electrical properties. This paper's experimental results obtained in the team's previous research are classified and analysed using a posteriori Design of Experiment (DoE). It allows us to determine the influential parameters on the component behaviour. Two analytical models are developed through regression analysis, allowing for predicting the output variables as a function of the input ones. The results are evaluated with statistical tools. The first model predicts the electrical Contact Resistance (CR) variation of the GDL as a function of mechanical compression and component type. The analytical results show that cycling compression has a negligible effect due to the lower number of applied cycles. The Micro Porous Layer (MPL) presence increases the CR, while the polytetrafluorethylene (PTFE) decreases it slightly. The GDL thickness is the most influential geometrical parameter. For this reason, a second analytical model is developed and predicts that CR is reduced primarily by increased mechanical compression and thicker GDLs.

Chemical and structural evolution of green dispersive Musa paradisiaca composite potential on solid crystal AlMg25PP formation for advance application

This study examines the utilization of plantain peels (Musa paradisiaca) as a strengthening component in aluminum metal matrix composites (AMMCs) for the purpose of cost reduction and the utilization of eco-friendly materials. The composites were manufactured using the stir casting method, with varying plantain peel contents ranging from 0 % to 25 %. Mechanical assessment revealed a notable increase of more than 80 % in microhardness as the plantain peel content increased, which was attributed to enhanced interfacial bonding and effective dispersion of reinforcements. The maximum recorded hardness was 40 HRB for the composite containing 25 % plantain peels. Electrochemical examinations indicated a reduction in corrosion rate, with the lowest rate observed at 6.80 mm/year for the composite with 25 % plantain peel, underscoring the inhibitive impact of the plantain peels. Variations in electrical resistivity and conductivity were observed due to the non-uniform distribution of plantain peels, with resistivity values ranging from 5.06 Ωm to 5.13 Ωm and conductivity ranging between 0.1950 (Ωm)−1 and 0.1975 (Ωm)−1. Analysis of the microstructure using SEM/EDS and XRD techniques confirmed the successful integration of plantain peels into the matrix, revealing distinct diffraction patterns and the formation of intermetallic phases such as Al(ZnSn2), Al(Mn,Fe)Cu, and Al(Mn,Fe2O3). The results indicate that plantain peels present a feasible and sustainable option for reinforcing AMMCs, thereby improving their mechanical properties and corrosion resistance.