The present work aims to examine the influence of designing mini channel heat sinks using Stereolithography (SLA) 3D printing. Stereolithography (SLA) is a common additive manufacturing technique. The internal mini channels of the heat sink are made of aluminium materials and the outer cover is made of commercial polymer. Three models of the mini channel heat sinks are considered. A constant heat flow is applied to the bottom wall of the heat sink, and water is used as a coolant. The flow and heat transfer were studied for different cooling speeds. The physical properties of the fluid provided good thermal performance for the heat sink, especially at increased flow rates. The acrylonitrile butadiene styrene (ABS) copolymer resin has shown its good insulator for the heat sink and has improved the performance of the heat sink. This study demonstrates that the ABS copolymer resin enhances the cooling of electronic components.
Along with the development of electric vehicles and electronic devices, all-solid-state batteries (ASSBs) have become the next-generation energy storage batteries, owing to their safety and chemical stability. Sulfide Solid Electrolytes (SSEs) are deemed to be crucial materials for ASSBs because of their ultrahigh ionic conductivity (10−3–10−2 S cm−1), but are still plagued by the narrow electrochemical window and poor interfacial stability. In this paper, we summarize our systematic research progress on sulfide SSEs from the view of how theoretical calculations and simulations play a crucial role in material design. First-principles calculation gives evidence of the structure’s stability and ion migration mechanism for electrolytes, MD and AIMD simulations provide insights for the dynamic diffusion behavior and the interface reaction mechanism. High-throughput screening and machine learning have accelerated new electrolyte designs. Scientists discovered Li10GeP2S12 and explored ion dynamics in a crystal lattice of that material. There are also material interface phenomena such as space charge layers and chemical breakdown. These problems can be managed by developing and tuning appropriate computational models to steer material doping and protective layer design. In this paper, we demonstrate that the combination of computer simulations and real experiments is valuable.
Ionizing irradiation is an emerging technology for the removal of toxic pollutants, such as antibiotics, in water and wastewater. In this study, gamma radiation-induced degradation of sulfamethoxazole (SMX) was optimized using response surface methodology (RSM) based on a Box-Behnken design. LC-MS analysis identified nine intermediate products (M1–M9), elucidating a dual oxidative-reductive degradation mechanism driven by hydroxyl radicals (•OH) and hydrated electrons (eaq⁻). These intermediates, characterized by hydroxylation, sulfonamide bond cleavage, and aromatic ring fragmentation, aligned with pathways distinct from conventional chlorination systems, underscoring the absence of toxic halogenated byproducts. According to experimental data, The study revealed that absorbed dose (0.2–2.0 kGy) and initial SMX concentration (5–40 mg/L) critically governed SMX degradation efficiency, achieving >99% removal under optimized conditions (≥1.2 kGy for 5–10 mg/L SMX). The robust RSM model (R2 = 0.9931) and experimental validation (±2% error) demonstrated the method’s reliability in reconciling nonlinear dose-concentration interactions as well as providing an effective approach to parameter optimization, offering practical insights for enhancing the treatment efficiency of antibiotic-containing wastewater.