Engineering Reports

The novelty of this research lies in introducing the SADRA Algorithm as a framework for engineering evolution. Unlike conventional methods, it emphasizes continuous project refinement rather than isolated results. Applying this philosophy to 3D printed and fiber reinforced concrete highlights its potential for sustainable innovation.

This paper uses a convex solution method based on integer linear programming to effectively plan the expansion of the distribution network, taking into account the availability of electric vehicle (EV) charging stations, compensators, substations, resources, and new lines. This paper aims to minimize the long-term costs associated with the construction of network infrastructure, subtransmission substations, EV charging stations, building sources, capacitor banks, and procuring power from the upstream network.

Comparison of the oedometer results for the saturated sample with the sample that experienced drying–wetting cycles (a). Volumetric strain versus suction in the drying path (b). K₀ variations under drying–wetting paths (c). Effect of hysteresis on the at-rest pressure coefficient during the first and second hydraulic cycles (d).

This study introduces a Whale Optimization Algorithm (WOA)-based frequency-based method (FBM) for hybrid energy storage systems (HESS), reducing battery life loss and voltage fluctuations. The proposed approach ensures smoother transitions and optimized current allocation, outperforming traditional methods in both test and real-world microgrid scenarios.

Lightweight high-entropy alloys (HEAs) offer exceptional properties like low density, high strength, and thermal stability, making them ideal for aerospace and automotive applications. The paper explores their design, synthesis, and characterization, emphasizing their potential for high-performance application in aerospace and automotive industries.

Orthogonal Multi-swarm Greedy Selection Sine Cosine Algorithm (OMGSCA) effectively optimizes FACTS placement and sizing in wind-integrated power systems, reducing operational costs and power losses while enhancing grid stability. Tested on the IEEE 30-bus system, OMGSCA outperforms traditional methods, demonstrating superior exploration, exploitation, and convergence in uncertain loading scenarios.

A hybrid Finite Element Analysis (FEA) and Machine Learning (ML) approach was used to predict the structural behavior and lifespan of oil storage tanks. ANFIS excelled in stress prediction, while ANN proved superior for lifespan estimation, thus enabling optimized design and maintenance strategies for industrial applications.

This study introduces a novel cascade FOPI-TIDDN controller optimized by the Crow Search algorithm, integrated with renewable solar thermal systems and HVDC tie-lines in a two-area power system. The approach enhances automatic generation control, demonstrating superior performance in settling time, overshoot, and system dynamics under various solar insolation patterns.

Enhanced thermal performance of paraffin oil-based Ti-alloy nanofluids is investigated for 3D MHD Darcy-Forchheimer flow over a bi-directional stretching surface. Results reveal improved thermal conductivity and viscosity, with industrial applications in heat transfer systems, while magnetic fields reduce velocity and increase temperature due to Lorentz force effects.

This study optimizes tensile strength in PLA–Terminalia chebula composites made via FDM, analyzing effects of strain rate, print orientation, and infill. Maximum strength (45.67 MPa) was achieved at 0° orientation, 90% infill, and 3 mm/min strain rate.

This study investigates CO₂ injection for enhanced recovery in the Wolonghe depleted gas reservoir in the Sichuan Basin using CMG and TOUGH simulations. It examines changes in reservoir temperature and pressure at Well 47 under varying CO₂ injection rates, timings, and temperatures. The study also simulates cumulative gas production at Well 67 using different gases, production rates, and injection–production ratios. By evaluating the effectiveness of CO₂ injection on recovery and reservoir performance, an optimal injection strategy is identified, supporting the low-carbon energy initiatives of Southwest Oil and Gas Field Company.

Among the empirical models of Li-ion battery aging found in literature, 54% model current fluctuation as an aging factor. Furthermore, 92% of the models present aging in terms of capacity fade, while 46% present aging in terms of resistance increase (noting that some models presented both capacity fade and resistance increase).

This study explores the impact of varying injection timings on a biodiesel-hydrogen dual-fuel CI engine. Results reveal that IT30 optimizes brake thermal efficiency (32.7%) and reduces CO and HC emissions while slightly increasing NO_x. Findings suggest IT30 as the optimal configuration for balancing efficiency and emissions.

This study introduces the Prioritized Multi-Step Grey Wolf Optimization (PMS-GWO) algorithm, enhancing exploration–exploitation balance and adaptability in complex optimization problems. By integrating dynamic role reassignment and prey-movement strategies, PMS-GWO outperforms conventional algorithms, demonstrating superior efficiency in benchmark tests and engineering applications, particularly in sustainable energy grid optimization.

Smart grid forecasting center.

This study proposes a novel current control concept for DC brushed motors using a power MOSFET in saturation mode, enhancing control resolution and providing practical insights for beginners. It offers unique design methodologies and validates findings through simulations and experimental tests, making significant contributions to electric/electronic circuit studies.

A one-dimensional representation of an initially damaged conductor cable is subject to mechanical tension, heat exchange with the environment, and an electric current, which combined lead to thermal failure from overheating. The deterministic solution of the physical system through the finite element method enters the PCM stochastic solver as a black box, which generates physics-based predictions of the probability of failure

An energy management system (EMS) with a fractional order proportional integral (FOPI) controller, optimized by particle swarm optimization (PSO) algorithm, regulates DC bus voltage and balances energy flow in a solar PV, battery, and supercapacitor system. The EMS ensures system stability and optimizes the state of charge of energy storage systems.