Sri Sivasubramaniya Nadar College of Engineering

Carbon quantum dots are activated carbon particles with a size of 1–10 nm that have unique properties such as stable temperature, high stability in the environment, and special chemical properties. Their emission spectrum is always wide and towards long wavelengths with a sharp decrease in intensity. In this work, carbon quantum dots with long emission wavelengths and productivity improvements for biological applications are investigated. In order to reduce the experiments and obtain the best method, the experiment is designed with a mini fever and screened between different factors. In addition, complete factorial screening is performed between three factors (time, OPDA, and ALCL3) and the results demonstrated that time factor and OPDA are more effective. Using a UV–vis fluorescence device, the samples were examined and with the software (Origin Probe), the diagrams of each sample are drawn and their quantum efficiency is recorded. Quantum efficiency is evaluated at 575 nm and 618 nm. Then, the TEM test examined the synthesized nanoparticles’ size. The average particle size synthesized in this project is reported to be about 3 nm. The effect of synthesized carbon quantum dots on fibroblast cells is investigated and the results demonstrated that the survival of these cells after 24 h of incubation with synthesized carbon dots could be more than 90%. As a result, these nanoparticles can be used in biological applications such as bioimaging as a diagnostic sensor for methylene blue. On the other hand, it was found that the nanoparticles synthesized in the presence of HCL have higher strength and wavelength.

In this study, an investigation was accomplished to optimize the cutting variables of abrasive water jet machining (AWJM) of aluminum (Al) Al 6061 alloy reinforced with 0.6 wt.% silicon carbide (SiC) and 0.2 wt.% boron carbide (B 4 C) hybrid nano metal matrix composite (MMC) using ultrasonic assisted stir casting methodology. The physical, mechanical, and microstructural properties were examined, and the addition of nanoparticles increased the density of the Al 6061 alloy to 2.698 g/cm³. The Vicker's microhardness evaluation showed 63.795 HV, which is 18% higher than the Al 6061 alloy. The metallurgical examination confirmed the even dissemination of SiC and B 4 C nanoparticles. Taguchi's methodology was employed to investigate the impact of a mixture of water and abrasive jet pressure, the nozzle's traverse speed, and the abrasive size on machining attributes such as material removal rate (MRR) and surface roughness. According to the experimental investigations of MRR, the cutting variable that has the greatest impact is jet pressure, which is 72.28%. However, considering the surface roughness, the significant cutting variable is abrasive particle size, which is 74.59%. The cutting wear mechanism was extremely operational in material removal, as evidenced by the high-resolution scanning electron microscope images of the machined surface.

In the domain of passive brain-computer interface applications, the identification of emotions is both essential and formidable. Significant research has recently been undertaken on emotion identification with electroencephalogram (EEG) data. The aim of this project is to develop a system that can analyse an individual’s EEG and differentiate among positive, neutral, and negative emotional states. The suggested methodology use Independent Component Analysis (ICA) to remove artefacts from Electromyogram (EMG) and Electrooculogram (EOG) in EEG channel recordings. Filtering techniques are employed to improve the quality of EEG data by segmenting it into alpha, beta, gamma, and theta frequency bands. Feature extraction is performed with a hybrid meta-heuristic optimisation technique, such as ABC-GWO. The Hybrid Artificial Bee Colony and Grey Wolf Optimiser are employed to extract optimised features from the selected dataset. Finally, comprehensive evaluations are conducted utilising DEAP and SEED, two publically accessible datasets. The CNN model attains an accuracy of approximately 97% on the SEED dataset and 98% on the DEAP dataset. The hybrid CNN-ABC-GWO model achieves an accuracy of approximately 99% on both datasets, with ABC-GWO employed for hyperparameter tuning and classification. The proposed model demonstrates an accuracy of around 99% on the SEED dataset and 100% on the DEAP dataset. The experimental findings are contrasted utilising a singular technique, a widely employed hybrid learning method, or the cutting-edge method; the proposed method enhances recognition performance.

The correlation> between driving posture and overall health is paramount, underscoring the necessity of maintaining proper seating positions for individuals. Prolonged periods of incorrect posture significantly contribute to the prevalence of musculoskeletal disorders among sedentary workers. The proposed research presents a novel approach utilizing a conformal and cost-effective body-coupled microwave sensor for monitoring driving positions and enhancing thermal comfort in the automotive sector. Integrated into the backrest of the vehicle seat, the sensor employs microwave-sensing elements to detect various driving postures based on shifts in resonant frequency. Through trials involving 12 participants, including 10 drivers adopting four distinct driving postures, and validation with machine learning classifiers, the effectiveness and reliability of the prototype are demonstrated. Subsequent integration with a Peltier cooling system and dashboard display further enhances occupant thermal comfort by accurately recognizing driving postures, providing corrective messages, and automatically activating the cooling system as needed.

The development of metal oxide-based electrochemical sensors are simple to use, portable, and affordable with excellent performance, stability, and sensitivity for the precise detection of targeted analytes in food safety has received a lot of interest as a result of advancement trends in recent studies. In this work, Moringa leaf extract-MnO2 nanoparticles (M-MnO2)-based sensors have been developed as an ultra-sensitive ammonia indicator for detecting food spoilage. M-MnO2 nanoparticles of a sensing material were prepared by hydrothermal method. The crystal structure, morphology, elemental composition, elemental mapping, functional bond, surface area, pore size was confirmed by Field Emission Scanning Electron Microscopy (FESEM), Energy Dispersive X-ray Analysis (EDAX), Fourier transform infrared (FTIR) spectroscopy, Transmission Electron Microscopy (TEM), X-ray diffraction (XRD), scanning transmission electron microscopy (STEM) and Nitrogen adsorption–desorption isotherm (BET analysis). The M-MnO2 was dropped onto a glassy carbon electrode using a drop casting technique and was used as a working electrode in an electrochemical sensor for ammonia detection. An electrochemical approach using a Moringa leaf extract-MnO2 sensor is examined using cyclic voltammetry (CV), differential pulse voltammetry (DPV), square wave voltammetry (SWV), and linear sweep voltammetry (LSV). The differential pulse voltammetry analysis of sensing provided a superior response for the anodic peak current has a linear correlation with ammonia concentrations ranging from 1 to 5 µM. The maximum current response was obtained at the optimized potential range between − 100 mV and 500 mV at pH = 12 with the scan rate of 35 mV/s. The electrochemical sensing probe demonstrated a strong linear correlation between the concentration of ammonia and current with corresponding limit of detection (LOD) and quantification (LOQ) of 0.76 µM and 2.33 µM with correlation coefficient R² is 0.99, and a sensing probe sensitivity of 128.6907 μA/μM/cm². The stability of the fabricated sensor was tested for a week and achieved a satisfactory result with an error of 0.2%. Ammonia oxidation peak current, the modified electrode displayed exceptional electrocatalytic characteristics. Analytical parameters such as linearity, sensitivity, and stability are also investigated. Consequently, the experimental analysis of the M-MnO2 nanoparticle sensor confirmed that it is a promising material for determining ammonia for food safety.

In aerospace and automobile applications, the ZE41-based nanocomposites have the potential to substitute aluminum alloys in non-structural components, such as framework of aircraft wings and cabin seats, clutches and transmission housing, and piston cylinder heads, which are exposed to moderately high temperatures and wear. Therefore, this present research comprehensively investigates the mechanical properties, tribological, and influence of multi-wall carbon nanotube (MWCNT) reinforcements on rare earth element present ZE41 magnesium alloy nanocomposites. The novel ZE41/MWCNT nanocomposites with varying concentration (0–1.2 wt.%) of MWCNT were synthesized using modified ultrasonication-assisted stir squeeze casting. The synergetic effect of ultrasonication, mechanical stirring and squeezing has resulted in a significant enhancement of ultimate tensile strength (191 MPa, ↑59%) and microhardness (↑24%) for the ZE41–0.8 wt.% MWCNT nanocomposite with least porosity, and their microstructural investigations were conducted using an optical microscope, scanning electron microscope (SEM) with energy-dispersive spectroscopy (EDS), transmission electron microscope (TEM) and X-ray diffraction (XRD). The influence of varying loads, sliding frequencies, and elevated temperatures on synthesized nanocomposites by linear reciprocating dry sliding wear was studied. The ZE41–0.8 wt.% MWCNT nanocomposite showed improved wear resistance, with a 29% decrease in wear rate and a 17% reduction in the coefficient of friction. The superior wear resistance and mechanical properties of the nanocomposites were attributed to various factors, including Orowan strengthening, increased dislocation densities, grain refinement by MWCNT pinning, reinforcing action, self-lubricating tendency, load-bearing effect, hardness of nanocomposites, and the formation of a passive MgO layer at elevated temperatures.

The manuscript examines the fabrication of rare earth magnesium alloy WE43, and its performance under wire electrode discharge machining (WEDM) conditions. It focuses on WEDM parameter optimization using multi criteria decision making (MCDM) techniques. WE43 alloy manufactured using casting method were characterized using advanced microscopy and spectroscopy techniques to analyze the microstructure, phase structure, and mechanical properties. WEDM experiments explores the effect of pulse current, pulse-on time, pulse-off time, and voltage on the material removal rate (MRR) and surface roughness (SR). MCDM methods, like Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Complex Proportional Assessment (COPRAS), are used to identify optimal machining conditions, with both approaches agreeing on the same optimal parameter set: pulse current of 15 A, pulse-on time of 5 µs, pulse-off time of 15 µs, and voltage of 30 V. This combination produces the best balance between MRR and SR, confirmed by additional experiments. The findings highlight the potential of the WE43 alloy for applications requiring precision machining, offering valuable insights for industrial use and future research.

The slow evaporation solution technique (SEST) was utilized to obtain technologically important organic Para-nitrophenol (PNP) single crystals at a temperature of 40 °C by the use of a constant temperature bath (CTB). Some theoretical quantum chemical studies were carried out with the Gaussian 16 W program package’s B3LYP 6–311 + + (d,p) basis set. The lattice parameters were also confirmed by powder XRD, and the planes were indexed using the Chekcell program. The functional groups were verified by FTIR analysis and then cross-referenced with existing literature. The electron distribution was studied using Hirshfeld analysis and the nucleophilic and electrophilic reactivity were analyzed using Molecular Electrostatic Potential (MEP). Premeditation of the crystal’s stabilized structure was done by scanning electron microscopy (SEM) investigations. UV–Vis–NIR was used to deliberate linear optical chattels, and fluorescence investigation further supports the optical utilization of 4-nitrophenol. Optical absorption, transmission, and energy band gap (Eg) measurements corroborated the optically high quality and associated optical characteristics of the developed crystals. The energy gap was also calculated theoretically using HOMO–LUMO analysis and compared with experimental. Thermogravimetric and differential thermal analysis (TG/DTA) were used to investigate the thermal phase shifts and the stability of the crystal. The dielectric, polarizability, and photoconductivity analyses were used to investigate the electrical properties. Using a 532 nm single wave (SW) laser, the Z-scan method was employed to study the nonlinear absorption coefficient (β) and optical limiting. The suitability of PNP for nonlinear optical (NLO) absorption, optical limiting, and laser safety applications was validated using Z-scan analysis.

Amidst the demand for innovative therapeutic solutions, this study investigates the synthesis of iron oxide nanoparticles (IONPs) from aqueous extract of Anastatica hierochuntica (A. hierochuntica) to explore their potential in antimicrobial, antioxidant, and anti-cancer applications. Utilizing a green chemistry approach, the nanoparticles were synthesized and characterized using different techniques including UV–visible spectroscopy, Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), zeta size analysis, and scanning electron microscopy (SEM). The biosynthesized nanoparticles exhibited potent antibacterial activity with a minimum inhibitory concentration (MIC) of 15 µg/mL against Bacillus subtilis. Significant antioxidant activity was observed with an IC50 value of 45 µg/mL in the DCF-DA assay indicating their free radical scavenging capabilities. The biosynthesized IONPs showed promising anti-cancer activity in vitro, with an IC50 value of 30 µg/mL in the human breast cancer cell line MCF-7, inducing apoptosis as confirmed by DNA fragmentation and ROS assays. Molecular docking studies further revealed strong binding affinities between the nanoparticles and key bacterial proteins as well as target enzymes involved in cancer progression assessing their potential mechanism of action. These findings highlight the potential of A. hierochuntica derived iron oxide nanoparticles as multifunctional therapeutic agent with strong applications in antimicrobial, antioxidant, and anti-cancer therapies. Future research should focus on exploring the in vivo efficacy and safety profile of these nanoparticles while focusing on the in silico studies to optimize their design and predict interactions.

The high-quality and large-size semi-organic piperazinium tetrachlorozincate monohydrate (PTCZM) single crystal was grown by a novel Immersed Sankaranarayanan–Ramasamy (ISR) method. The length of the ISR crystal is 12 cm, and the diameter of the crystal is 1.5 cm. The ISR-method-grown PTCZM crystal is reported for the first time in the literature. The ampoule was specially designed for the growth of good-quality and bulk-size unidirectional single crystal by slow cooling condition. The unwanted temperature gradient developed in the solution in SR method was completely avoided; hence, the formation of secondary nucleation is avoided. This ISR method has similar growth process, optimization parameters and the quality of crystal is better than the SEST and SR method. Growth direction parallel to the gravity can be easily achieved; hence, slanted growth could be avoided within the ampoule and also linear transportation of embryos from solution to crystal–solution interface is achieved. The title crystal was subjected to various characterizations. The structural analysis (crystal system and cell parameter) of the grown PTCZM crystal was examined by single-crystal XRD and it exposed that the PTCZM crystal has a crystal monoclinic system and space group P121/c. Using powder X-ray diffraction (PXRD) analysis, miller index and (h k l) planes were identified. The crystalline perfection of the ISR-method-grown crystal was examined using a high-resolution X-ray diffraction (HRXRD). The presence of different vibrational assignments was identified by Fourier transform infrared spectrophotometer analysis. The optical behavior of the grown crystal was measured with a UV–Vis NIR spectrophotometer. The negative photoconductivity nature of the PTCZM crystal was measured by photoconductivity analysis. The luminescence properties of the PTCZM crystal were investigated using photoluminescence analysis. The optical homogeneity of the single crystal was examined across different portions (top, middle, and bottom). The thermal stability of PTCZM crystal was found to be upto 70 °C and the different levels of decomposition temperatures were analyzed using thermogravimetric differential thermal analysis (TG–DTA). The mechanical stability of the grown PTCZM crystal was studied using Vickers microhardness measurement. Furthermore, dielectric and piezoelectric analyses were employed to assess the electrical characteristics of each segment of the grown crystal. The laser damage threshold value of the ISR-method-grown PTCZM crystal was determined using a pulsed Nd:YAG laser (532 nm). The third-order nonlinear susceptibility was measured and analyzed by Z-scan technique using (He–Ne) laser of wavelength 632.8 nm. As presented in this paper, the newly introduced ISR method for crystal growth suggests that crystals grown using the ISR method are suitable for high-performance optical device applications.

Considerable tending has been given to exploring PbMoO4 material with improved photocatalytic behaviors, comparatively low cost and eco-friendly nature. In this work, bare and Ni (0.025, 0.050, 0.075 M) doped PbMoO4 nanoparticles were successfully prepared by the co-precipitation process. The SEM and HR-TEM analysis demonstrates that Ni (0.050 M) doped PbMoO4 were found in spherical shaped morphologies with slight agglomeration. The energy gap of Ni (0.050 M) doped PbMoO4 was determined to be 2.74 eV which facilitates the greater photocatalytic behaviors in the visible range. The photodegradation reaction process in the existence of radical species indicated that •OH and h+ were the dominant scavengers. Surface defects, oxygen vacancies, and prevent charge carriers are closely associated with the photodegradation behaviors were investigated from PL and XPS analysis. Additionally, the stability and repeatability of the existing catalyst towards Brilliant Green (BG) and Brilliant Blue (BB) for 6 runs demonstrated accepted outcomes. The Ni (0.050 M) doped PbMoO4 showed significant degradation performances towards organics pollutants. From these investigations, Ni-doped PbMoO4 might be expected as a potential candidate for the resolution of hazardous ecological contaminants.

Reliable operation of power electronic converters is a critical issue since all power generation industries involve them. So many stress causing factors such as temperature, environment, humidity, vibrations, etc., may affect the performance. Such failures or hazards happening in a single component or a small subsystem may affect the entire operation. Any photovoltaic (PV)-based system have two major units: Solar panel and power conditioning unit (Inverter). Most of the times, PV panels do not cause system unavailability or system shutdown. This results in increased maintenance cost and down time of system. So, it is significant to analyze how far a system is reliable by various reliability metrics. In this work, a photovoltaic-based five-level Quasi Z-Source Inverter is taken into consideration for system availability computation. The proposed system is modeled using Markov’s reliability model which is a stochastic model. The entire system has been broken to three subsystems namely PV panel, Quasi Impedance Network and H-bridge. The state transitions of the subsystems were analyzed, and the system availability is computed using 5th order Runge—Kutta method. A hardware model of the proposed system is developed, and the Markov’s states are validated.

BaSO 4 :V ⁵⁺ synthesized at 1000°C in air exhibits an intense emission band peaking at 495 nm from surface traps assisted by atmospheric oxygen on excitation at 350 nm due to charge transfer from O ²⁻ to V ⁵⁺ in the (VO 4 ) ³⁻ tetrahedral complex. BaSO 4 :Eu synthesized under similar conditions exhibits both Eu ²⁺ (375 nm) and Eu ³⁺ (619 nm) fluorescence. Vanadium codoping quenches the Eu ²⁺ fluorescence but enhances the Eu ³⁺ fluorescence in BaSO 4 :V, Eu due to charge compensation. However, Eu codoping quenches the vanadium fluorescence by diffusion of vanadium into the crystal, and V 2 O 5 also serves as a flux enhancing Eu ³⁺ doping efficiency in BaSO 4 lattice. The 619nm Eu ³⁺ PL emission intensity in BaSO 4 :V ⁵⁺ , Eu ³⁺ is comparable to 592nm emission from commercial (Y,Gd) BO 3 :Eu ³⁺ . However, V ⁵⁺ emission shows strong thermal quenching, while Eu ³⁺ emission shows little thermal quenching up to 210°C, making BaSO 4 :V ⁵⁺ , Eu ³⁺ a promising new red phosphor for improving the color rendering of blue light‐based white LED. The ratio of Eu ³⁺ to V ⁵⁺ fluorescence increases with excitation temperature (30°C°C–180°C) enabling BaSO 4 :V ⁵⁺ , Eu ³⁺ to be used as a non‐contact luminescence thermometer.

The ecological security patterns (ESPs) in the Qinling Mountains are facing significant challenges due to the worldwide issues of harsh climate and urbanization. Achieving sustainable development in China requires an understanding of the features of ESPs in the Qinling Mountains, an important ecological barrier. With a Yangxian focus, this work makes use of techniques like geographic information systems (GISs), remote sensing, and machine learning (ML). This research proposed a novel technique in rural region ecosystem monitoring-based food security based on sustainable agriculture using machine learning in artificial intelligence application. Here, input is collected as food security analysis for rural region ecosystem monitoring as well as processed for noise removal and normalization. Then, this data features are extracted and classified using reinforcement radial Gaussian encoder with adversarial Boltzmann temporal neural networks. Experimental analysis is carried out for parameters like training accuracy, random precision, sensitivity, AUC, and F-1 score. The proposed method obtained 98% of training accuracy, 96% of sensitivity, 95% of F-1 score, 97% of AUC, and 93% of random precision.

Stainless steel and titanium-based alloys have been the gold standard when it comes to permanent implants and magnesium-based alloys have been the best option for bioresorbable alloys. Ti-6Al-4V, Ti-64, with its 110 GPa Young’s Modulus is the most commonly employed alloy to manufacture biomedical implants used for treatment of fractures of skeleton. Recently, researchers have developed a new low-cost and toxic Vanadium-free alternative to this alloy, Ti-3Mo-0.5Fe at.%, namely TMF8. This alloy has a 25% lesser Young’s Modulus compared to Ti-6Al-4V and also demonstrated acceptable mechanical properties while possessing better cell proliferation results. The lower Young’s Modulus can aid in lowering stress shielding effects while its cytocompatibility could enhance healing. This work, therefore, tries to use finite element analyses to compare these two alloys (Ti-64 and TMF8) from a practical structural point of view to analyse the advantages and disadvantages of this new alloy and how a low-cost biocompatible alternative (TMF8) can actually prove to be a more viable option. The analyses confirm that TMF8 shows almost similar biomechanics performance to Ti-64 alloy (and in acceptable range) in bone plate fixation of mandibular angular fracture treatment. Graphical Abstract

Samarium-doped Ba2ZnSi2O7 orange red-emitting phosphors for novel applications in temperature measurement were prepared by a solid-state synthesis method. A Ba2ZnSi2O7 akermanite-structured Sm³⁺ phosphor was allocated to the C2/c space group and monoclinic system. Using FTIR, identification of different bonds with their vibrational modes has been done. Stimulated at 403 nm, the as-prepared phosphors show yellow (560 nm), orange (600 and 645 nm), and red (705 nm) emissions, which were also used to maximize the dopant concentration. Sm³⁺ ions may be uniformly dispersed throughout the Ba2ZnSi2O7 matrix, and Sm³⁺ consists of irregular microparticles. Optical energy bandgap values for Ba2ZnSi2O7 and 0.4 mol%Sm³⁺ (∼3.33 eV and ∼3.40 eV) reveal the formation of faulty energy levels in the band gap. Sm³⁺ quenching at an appropriate concentration of 0.4 mol%, with a critical distance of approximately 44.33 Å, and a θ value of 3.93, almost equal to 4, was found to be indicative of the dipole–dipole type of electric multipolar interaction. Excellent thermal stability of the PL peaks was observed in Ba2ZnSi2O7:0.4%Sm³⁺. A novel dual-model thermometry approach based on an adjusted Boltzmann population distribution and an exponential function would be put forward. The Ba2ZnSi2O7:Sm³⁺ phosphor exhibited relative sensitivities of 2.02% K⁻¹ based on modified Boltzmann population distribution through the FIR strategy and temperature-dependent lifetime was also employed to calculate relative sensitivities of 3.25% K⁻¹ based on exponential function. In light of these experimental results, the produced Sm³⁺ doped Ba2ZnSi2O7 phosphors can thus be a promising choice for UV-excitable warm lighting systems and non-contact optical thermometry measurements.

This study introduces a novel Mg-doped PbMoO4 spinel that is used for the photocatalytic degradation of dye solutions, specifically BB and BG dyes. The bare and Mg-doped PbMoO4 were synthesized by co-precipitation method and their materials were analyzed by XRD, DRS, PL, FT-IR, SEM, HR-TEM, and XPS techniques to determine the structural, morphological, optical, and vibrational properties. The XRD outcomes display that bare and Mg (0.025–0.075 M)-doped PbMoO4 possess a tetragonal system with no other phase step. DRS analysis affirmed that Mg doping alters the energy gaps of PbMoO4 with increasing Mg content from 0.025 to 0.075 M, respectively. XPS and PL spectra revealed that Mg doping induced defect states or oxygen vacancies, which prevented charge carrier recombination. SEM and HR-TEM micrographs of Mg (0.050 M)-doped PbMoO4 nanoparticles exhibit certain particles that are spherical with slight agglomeration. These particle sizes are determined around 25 nm. The photodegradation activity of bare and Mg-doped PbMoO4 catalyst was assessed in the removal of BG and BB dye solutions under visible irradiation. The consequence of several parameters, including irradiation time, pH, catalyst dosage, COD and reactive species, on the photodegradation of BG and BB was examined. With Mg (0.050 M)-doped PbMoO4 after 120 min irradiation, 99 and 95% of BG and BB removal was observed in pH = 7 conditions, while with bare nanoparticles only 35 and 32% BG and BB were degraded upon visible irradiation for 120 min. The recyclable of the Mg (0.050 M)-doped PbMoO4 was verified under optimized environments. The outcomes establish that Mg (0.050 M)-doped PbMoO4 nanoparticles exhibit substantially good stability with above 90 and 89% degradation after the sixth catalytic cycle. The scavenging (free radicals) tests revealed that •OH, h⁺, and •O2⁻ radicals play main roles in BG and BB degradation. COD studies affirmed the whole mineralization of BG and BB dye molecules. The results reveal Mg-doped PbMoO4 nanoparticles can be the superior candidates with strong catalyst stability for the removal of BG and BB in wastewater.

In Current scenario, polymer hybrid composites are extensively utilized as substitutes for traditional materials in various engineering applications. The hybridization technique for manufacturing composite materials through the integration of organic and synthetic fibres is experiencing significant growth in industries such as aerospace, automotive, military, and structural applications. These manufactured composites possess notable attributes such as eco-friendliness and sustainability. Due to the high tensile strength and amazing antistatic properties, flax fibre is considered to hybrid with glass fibre and forms a hybrid material with polyester resin. In this investigation, woven flax fibre was treated with alkaline solution and hybridized with woven glass fibre with polyester resin through vacuum bag moulding process. Three types of glass/flax hybrid composites are prepared to analyse the impact strength, compressive strength and shear strength are tested as per the various ASTM standard. Experimental results showed that the developed glass/flax hybrid composites achieved enhanced impact strength, compression strength and shear strength performance compared with flax reinforced epoxy composite.