To meet the requirement of electromagnetic compatibility in various portable electronic devices, electromagnetic interference shielding effectiveness (EMISE) is one of the key parameters. Here, we demonstrate that a polymer composite film comprising two polymers poly(vinylidene fluoride-co-trifluoroethylene) [P(VDF-TrFE)] and poly(3,4-ethylene dioxythiophene) polystyrene sulfonate (PEDOT:PSS) with good mechanical flexibility provides an effective electromagnetic interference (EMI) shielding. Dielectric properties of P(VDF-TrFE) and PEDOT:PSS composites in radio frequency ranges (10 MHz–1 GHz) have been utilized to calculate the EMI shielding properties in both near-field and far-field regions. The shielding properties for far-field region are also measured using the coaxial transmission method to verify the calculated result. The morphology of the obtained films was investigated by scanning electron microscopy, and the crystallinity of the composite films was investigated by X-ray diffraction and differential scanning calorimetry. The fabricated films with a thickness of ∼0.08 mm exhibit excellent EMI shielding properties. The films can be directly molded to a required shape with good mechanical strength. The film can find its application in fabricating electromagnetic compatible portable electronic devices mainly in the medical field where the EMISE measurement are made in the near field. Also the thickness of the shielding film will have minimum effect on the overall dimensions of device.

Graphite receives tremendous attentions as filler for conducting composite due to its low cost and high electrical conductivities. In this work we use polyvinylidene fluoride (PVDF) as insulating matrix and graphite (Gr) as a filler to develop conducting composite films using solvent casting technique. The dielectric properties of the developed PVDF-Gr films were analysed for the frequency range of 100 kHz to 10 MHz. The morphology of the obtained films was investigated by scanning electron microscopy. The EMI shielding properties of the PVDF-Gr composite films were evaluated theoretically using ε , tan δ, and σ in the desired radio frequency region. Mechanical strength of the films was tested by universal testing machine. Due to advantages such as light weight, flexibility, and low cost the developed film with the thickness of ∼ 0.15 mm had very good potential to be used for fabricating electromagnetic compatible electronic devices.

Particularly in sectors where mechanisation is increasing, there has been persistent effort to maximise the use of existing assets. Since maintenance management is accountable for the accessibility of assets, it stands to acquire prominence in this setting. One of the most common methods for keeping equipment in good working order is predictive maintenance with machine learning methods. Failures can be spotted before they cause any downtime or extra expenses, and with this aim, the present work deals with the online detection of wear and friction characteristics of stainless steel 316L under lubricating conditions with machine learning models. Wear rate and friction forces were taken into account as reaction parameters, and biomedical-graded stainless steel 316L was chosen as the work material. With more testing, the J48 method’s accuracy improves to 100% in low wear conditions and 99.27% in heavy wear situations. In addition, the graphic showed the accuracy values for several models. The J48 model is the most precise amongst all others, with a value of 100% (minimum wear) and an average of 98.92% (higher wear). Amongst all the models tested under varying machining conditions, the J48’s 98.92% (low wear) and 98.92% (high wear) recall scores stand out as very impressive (higher wear). In terms of F1-score, J48 performs better than any competing model at 99.45% (low wear) and 98.92% (higher wear). As a result, the J48 improves the model’s overall performance.

This study investigates the use of carbonized Himalayan Chir Pine Biomass, known as Chir Pine Activated Carbon (CPAC), as an eco-friendly and cost-effective adsorbent for efficient industrial dye removal, with a focus on environmental sustainability. By applying different additive treatments, four adsorbents (C1, C2, C3, and C4) were formulated. CPAC was synthesized through pyrolysis and characterized using various analytical techniques including FE-SEM, X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and differential scanning calorimetry (DSC). The adsorption capacity of CPAC was evaluated using Malachite Green (MG) dye as a model contaminant. FE-SEM images revealed high porosity (~ 10 µm) and a high surface area (119.886 m²/g) as confirmed by BET testing. CPAC effectively removed MG dye within 30 min at a solution pH of 7. Langmuir and Freundlich isotherm models indicated both monolayer and multilayer adsorption, while kinetic models suggested chemisorption. The regeneration efficiency was assessed using 0.1 N HCl over five consecutive cycles, with C4 demonstrating a high regeneration tendency of 85% and only a 9% reduction in adsorption ability after the fifth cycle. The developed CPAC shows excellent potential for use in the textile, paper, and leather industries for industrial dye adsorption, contributing to the protection of aquatic ecosystems. Additionally, CPAC can be utilized in other water and air purification applications.