Faculty Publications
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Item Optimization of Wind Farm Layout by Repetitive Rearrangement(Institute of Electrical and Electronics Engineers Inc., 2022) Ranjan, A.; Kumar, V.Securing energy supply and expanding fuel sources is one of the primary objectives of the energy system for most nations. Due to environmental change, wind energy is getting progressively significant as a strategy for CO2-free energy generation. The renewable energy field has many challenges, including wind farm layout optimization. The wind farm layout optimization is a complex problem in terms of computation expense. The factor affecting the efficiency of turbines is the wake effect which results in a diminution of kinetic downstream caused by the impact of the turbines on each other. Many researchers have applied various algorithms like Genetic Algorithm, L-SHADE, Greedy, Bionic, and Reinforcement Learning to achieve the maximum power output from wind farms. This paper de-scribes and presents an overview of the wind farm layout design problem, proposes a new algorithm for optimization by repetitive rearrangement, and evaluates the performance of the proposed algorithm by the python-based implementation for solving this NP-hard optimization problem. The outcomes obtained reveal lower computational costs to get better-optimized results using the proposed algorithm, thus outperforming in terms of simplicity and computation time to maximize annual energy production from the wind farm. © 2022 IEEE.Item Artificial Intelligence-Based Model for Detecting Inappropriate Content on the Fly(Springer Science and Business Media Deutschland GmbH, 2023) Ranjan, A.; Pintu; Kumar, V.; Singh, M.P.Social media made it convenient for users to express, communicate, discuss, and exchange their opinions on various issues in recent years. For example, Twitter, YouTube, Facebook, and News portals allow users to express themselves through comments. However, such platforms are being misused in the name of freedom of speech. Numerous improper messages towards specific persons or communities can be found in them that use abusive, vulgar, hostile, or harsh words. Moreover, bots are also involved in exchanging such messages nowadays. As a result, user experiences are sometimes ruined on social media. Therefore, automatic identification and filtering of such offensive messages is a significant issue for improving user experience. This paper proposes a heterogeneous ensemble-based machine learning (ML) model powered by artificial intelligence (AI) that can classify messages into Threat, Obscenity, Insult, Identity Hate, Toxic, and Severe Toxic categories. The experimental evaluation of the proposed model on a standard dataset demonstrates the accuracy and adaptability of the proposed model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Influence of friction and back stresses evolution on cyclic softening of laser powder bed fusion Ti-6Al-4V ELI alloy(Elsevier B.V., 2024) Goyal, A.; Ranjan, A.; Ravi, B.; Karagadde, S.Laser Powder Bed Fusion (LPBF) of Ti-6Al-4V ELI enables the fabrication of complex and individualized load-bearing patient-specific implants (PSI). These PSI are subjected to cyclic loading, which necessitates their fatigue performance evaluation. In this work, the fatigue properties of LPBF Ti-6Al-4V ELI in heat-treated conditions were characterized by studying the low cycle fatigue (LCF) behavior and underlying deformation mechanism. The fully reversed strain-controlled fatigue tests were performed at various strain amplitudes at room temperature. The ratio of fatigue life of conventional wrought alloy and LPBF Ti-6Al-4V ELI at the lowest (0.8 %) and the highest (1.8 %) strain amplitudes were found to be approximately 2.7 and 4.5, respectively. Further, the softening response during fatigue loading was correlated to the variation in the back and friction stresses. The TEM observations revealed that the dislocation pileup along α/β interfaces caused an increase in dislocation density, which drives the increase in back stress. However, the ease of slip transmission at high strain amplitude (1.8 %) reduced the heterogeneity between α and β phases, causing a decrease in the back stress. The TEM observations further suggested that the dislocation annihilation and subsequent rise in dislocation-free zones in α-phase reduced the friction stress at all strain amplitudes, which resulted in cyclic softening of LPBF Ti-6Al-4V ELI. © 2024 Elsevier B.V.