Engineering Reports

TUK and Nomex-910 papers were impregnated with monoester of palm kernel oil and aged at 130°C during 400 h. Nomex's AC BDV exceeded TUK. The reverse behavior was observed for acidity. An Arrhenius plot was applied to the viscosity of monoester. 2-FAL concentration and degree of polymerization were estimated from measured UV absorbance.

In this paper, firstly, based on the principles of scientificity, rationality, representativeness, feasibility, and coefficient of variation, the evaluation index system of slope stability is constructed. Then, the subjective and objective weights of the evaluation indexes are determined by the improved analytic hierarchy process (IAHP) and anti-entropy weight (AEW) respectively, which effectively reduces the deviation caused by the single weighting method. The comprehensive weight is determined based on game theory. Finally, the slope stability evaluation is carried out according to the finite interval cloud matter element model, and the expectation of multiple solutions is taken as the final evaluation result, which effectively solves the ambiguity in the evaluation process, and the confidence factor is introduced to measure the reliability of the result. The evaluation model is applied to an engineering example.

This research examines the heat and mass transfer rates in magnetohydrodynamic (MHD) tangent hyperbolic ternary hybrid nanofluid flow over a stretching plate, considering factors such as variable thermal conductivity, Joule heating, viscous dissipation, chemical reactions, Darcy–Forchheimer flow, Cattaneo–Christov heat and mass fluxes, and nonlinear thermal radiation, by using the RK6 method in MATLAB.

• In this paper, the slime mold algorithm (SMA) and genetic algorithm (GA) as metaheuristic algorithms are combined to create a novel hybrid intrusion detection (ID) method considering feature selection for classification problems.
• The effectiveness of this suggested approach is also evaluated in comparison to other well-known methods like GA, PSO, GOA, TLBO, and SSA.

Aiming at the problems that tea buds are easily occluded, recognition precision and recognition efficiency are low in intelligent picking of famous tea buds, this study proposes an algorithm with the improved YOLOv8n network model to detect the famous tea buds. The improved YOLOv8n model could be capable of processing occluded tea buds with a higher degree of confidence and exhibits robustness across various scenarios, offering valuable insights for the image recognition method used in intelligent tea picking.

This study demonstrates the development of flexible, freestanding GaAs solar cells with a power conversion efficiency of 19.62%, achieved through optimized layer thickness and doping concentrations. Experimental characterization and numerical simulations reveal key mechanisms, including I–V characteristics and carrier recombination, underscoring the potential of GaAs solar cells for high-efficiency energy solutions in both terrestrial and space applications.

A deep eutectic solvent (DES) comprising menthol (MEN) as a hydrogen bond donor (HBD) and thymol (THY) as a hydrogen bond acceptor (HBA) is comprehensively investigated through COSMO-RS and molecular dynamics (MD) simulations. COSMO-RS is employed to predict the solid–liquid equilibrium, along with σ-profiles and σ-surfaces, to elucidate intermolecular interaction characteristics. Complementary MD simulations provide molecular-level insights into structural and dynamic behavior via mean square displacement (MSD), radial and angular distribution functions (RDFs/ADFs), spatial distribution functions (SDF), and vector reorientation dynamics. Together, these approaches offer a detailed understanding of the structural organization and interaction landscape of the MEN–THY DES.

This research work primarily puts forward structural design approaches to enhance the ductility of materials. Generally speaking, when materials are being stretched, plastic deformation usually takes place in the regions with the most severe local damage, which leads to limited elongation. However, by designing defective structures and facilitating multi-zone plastic deformation, the ductility of materials can be significantly improved.

A 3D prototype model of human skin, comprising epidermis, dermis, and subcutaneous tissue, analyzes temperature impacts for flash fire Q = 83,200 W/m², conductivity (k_e = 0.21, k_d = 0.37, k_s = 0.16) and specific heat capacities (Cp_e = 3578, Cp_d = 3200, Cp_s = 2288).

The method achieves significant performance breakthroughs in machine translation through deep integration of linguistic features at different granularities.

Pulsed CO₂ laser causes uneven burr, while fiber laser is uniform. Compare fiber and CO₂ laser techniques for cutting AISI 316L.

The research proposes a variable-speed fixed-displacement pump control strategy combined with a fuzzy PID algorithm. A co-simulation model is developed, key parameters are set, and comparative energy consumption analyses are conducted between the variable-speed fixed-displacement pump and the fixed-speed variable-displacement pump through simulation tests. Finally, real-vehicle validation is performed to assess energy efficiency. Both simulation and real-vehicle test results demonstrate that the proposed variable-speed fixed-displacement pump control strategy achieves over 40% energy savings compared to the fixed-speed variable-displacement pump.

We present an overview of the current state-of-the-art in robotics while emphasizing stability and control aspects with pragmatic consideration over robotic manipulators. It is centered on robustness, efficiency, and security for applications such as industrial automation or surgical robotics.

This study proposes a hybrid machine learning approach combining active learning, Random Forest, and CatBoost to predict and optimize HVAC energy consumption in office buildings. It improves prediction accuracy with limited data, reduces outlier impact, and uses SHAP analysis for more effective energy-saving optimizations.

The Real-Climatic Microcontroller-in-the-Loop (RCMIL) Framework provides a novel, rapid, and cost-effective platform for verifying photovoltaic (PV) control systems under real-world climatic conditions. By integrating real climatic data with Microcontroller-in-the-Loop execution, this approach bridges the gap between simulations and practical deployment, enhancing the reliability and accessibility of MPPT controller validation.

This study explores Borassus husk fiber/epoxy composites treated with 5% NaOH, showing enhanced thermal stability, mechanical strength, and damping properties. The 0.75-h treated fiber achieved the highest thermal stability (IPDT: 525°C). Despite a slight drop in Tg, the composites outperformed other natural fiber counterparts. With improved energy dissipation and acceptable outgassing, these sustainable materials are promising for aerospace applications, supporting both performance and environmental goals.

This study optimizes the combustion characteristics of rice husk briquettes enriched with Croton megalocarpus oil, identifying key parameters for efficient burning. It contributes a predictive model enhancing briquette technology, significantly advancing sustainable biofuel applications with improved combustion efficiency and reduced emissions.

Schematic representation of an exhaust gas-driven turbine-powered generator system.