GMR Institute of Technology (GMRIT) is an engineering college in India. It is in the Rajam, Vizianagaram district of Andhra Pradesh. It is affiliated to Jawaharlal Nehru Technological University, Kakinada.
The high-pressure torsion (HPT) process is one of the most powerful methods of severe plastic deformation, capable of significantly refining the microstructure and altering the functional properties of high-strength aluminum alloys. In this work, the effects of HPT on the microstructure, residual stresses, hardness, and damping characteristics of the AA7075 alloy were comprehensively studied. Microstructural investigation revealed that the average grain size of the starting material was around 95 µm, but after HPT, it decreased to 6.1 µm, indicating continuous dynamic recrystallization. The secondary-phase particles were fragmented and uniformly distributed, as observed by SEM. The lattice strain was evident from the broadening of the XRD peaks. High compressive residual stresses were found near the surface ( − 600 MPa), whereas at greater depths the stresses were tensile due to strain gradients. Microhardness rose about 35–40
An organic single crystal of 2-aminobenzylaminium picrate (ABAP) was grown by the slow-evaporation solution method and structurally characterized to investigate proton-transfer-driven supramolecular organization and its influence on optical properties. Single-crystal X-ray diffraction confirms the formation of a charge-assisted hydrogen-bonded ionic framework composed of protonated 2-aminobenzylaminium cations and picrate anions. The crystal packing is stabilized by cyclic N–H•••O hydrogen-bond motifs and π•••π stacking interactions that promote cooperative donor–acceptor coupling within the lattice. Vibrational analysis shows good agreement between experimental and calculated spectra, supporting the optimized molecular geometry. UV–diffuse reflectance spectroscopy reveals an optical band gap of 2.80 eV, indicating semiconducting behaviour, while TD-DFT calculations confirm intramolecular charge-transfer transitions. Frontier molecular orbital analysis gives a HOMO–LUMO gap of 3.756 eV and demonstrates spatial separation of donor and acceptor regions. The results establish a clear correlation between proton-transfer-induced polarization, supramolecular organization and optical response, highlighting ABAP as a useful model system for structure–property relationship studies in hydrogen-bonded organic optoelectronic materials.
The objective of this research work is to evaluate the impact of cryorolling on the microstructure and mechanical properties of friction stir processed AA8011–B4C aluminum matrix composite. The study observed that cryorolling significantly reduced grain size, from 8.5 µm in the FSP condition to 5.3 µm after cryorolling ( 38
The present study investigated the methylene blue dye removal from aqueous solutions using biochar produced from raw coconut shell and subsequent chemically modified biochar. Sulphuric acid and sodium hydroxide are the two chemicals used for the activation of the raw biochar. The batch experiments were conducted by varying the operating conditions, namely pH, biochar dose, initial dye concentration, temperature, contact time, and rotating speed. To understand the surface morphology, functional groups, crystalline nature and elemental composition of the biochar, scanning electron microscopy (SEM) with energy dispersive X-ray analysis (EDAX), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and carbon, hydrogen and nitrogen (CHN) analysis were used. The adsorption mechanism and rate of adsorption were investigated through adsorption isotherms and kinetic studies. The maximum removal efficiency of 98
The security and stability of modern power systems rely heavily on timely and accurate detection of anomalies, including cyberattacks. Traditional anomaly detection approaches often struggle to capture complex interdependencies among system components, resulting in decreased detection performance. In this study, we propose a novel deep learning-based method for detecting anomalous events in power networks. The proposed model leverages historical and real-time measurement data to identify deviations that indicate potential false data injection attacks. Extensive experiments were conducted on standard IEEE test systems, incorporating adversarially injected cyberattack signals to evaluate the robustness of the approach. The results demonstrate superior performance in accuracy, precision, and recall compared with conventional autoencoder-based models. This method provides a reliable tool for enhancing the cybersecurity and operational reliability of power systems.
