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Detecting temperature and concentration fields within engine combustors holds paramount significance in enhancing combustion efficiency and ensuring operational safety. Within the realm of engine combustors, the laminar absorption spectroscopy technique has garnered considerable attention. Particularly crucial is the optimization of the optical path configuration to enhance the efficacy of reconstruction. This study presents a flame parameter field reconstruction model founded on laminar absorption spectroscopy. Furthermore, an optimization approach for refining the optical path configuration is delineated. In addressing non-axisymmetric flames, the simulated annealing algorithm (SA) and Harris's Hawk algorithm (HHO) are employed to optimize the optical path layout across varying beam quantities. The findings underscore a marked reduction in imaging errors with the optimized optical path configuration compared to conventional setups, thereby elevating detection precision. Notably, the HHO algorithm demonstrates superior performance over the SA algorithm in terms of optimization outcomes and computational efficiency. Compared with the parallel optical path, the optimized optical path of the HHO algorithm reduces the temperature field error by 25.5% and the concentration field error by 26.5%. [ABSTRACT FROM AUTHOR]

In the realm of high-tech materials and energy applications, accurately measuring the transient heat flow at media boundaries and the internal thermal conductivity of materials in harsh heat exchange environments poses a significant challenge when using conventional direct measurement methods. Consequently, the study of photothermal parameter reconstruction in translucent media, which relies on indirect measurement techniques, has crucial practical value. Current research on reconstructing photothermal properties within participating media typically focuses on single-objective or time-invariant properties. There is a pressing need to develop effective methods for the simultaneous reconstruction of time-varying thermal flow fields and internal thermal conductivity at the boundaries of participating media. This paper introduces a computational model based on the numerical simulation theory of internal heat transfer systems in participating media, stochastic particle swarm optimization algorithms, and Kalman filter technology. The model aims to enable the simultaneous reconstruction of various thermal parameters within the target medium. Our results demonstrate that under varying levels of measurement noise, the inversion results for different target parameters exhibit slight oscillations around the true values, leading to a reduction in reconstruction accuracy. However, overall, the model demonstrates robustness and accuracy in ideal conditions, validating its effectiveness. [ABSTRACT FROM AUTHOR]

Accurate detection and characterisation of defects in high-density polyethylene (HDPE) materials are important for the safety of industrially critical structures. Ultrasonic non-destructive evaluation (UNDE) has proven to be a powerful tool for detecting and characterising defects in engineered materials. However, efficient and high-precision defect imaging in these highly attenuating materials remains a significant challenge for UNDE. Least-squares reverse time migration (LSRTM) offers the potential to reconstruct high-precision images of reflectivity. Yet, the conventional LSRTM iteratively updates the reflectivity model by minimising the data residuals, making it computationally expensive. In this paper, an efficient ultrasonic LSRTM algorithm within a deep learning framework is proposed. Building upon this, a generative adversarial network (GAN) is integrated to further enhance the reconstruction results by reducing artefacts in the images. Simulation and experimental results show that the proposed ultrasonic LSRTM-GAN can generate high-quality images, effectively enabling precise defect detection in HDPE. [ABSTRACT FROM AUTHOR]

Bermuda grass ( Cynodon dactylon) can endure long-term and deep submergence stress and cadmium toxicity, respectively. But we do not know whether they can endure cadmium plus waterlogging and what are the differences of ecophysiological responses and metal bio-accumulation of Bermuda grass subjected to normal condition, waterlogging, cadmium or cadmium-and-waterlogging treatments, respectively. Here, the four treatments on Bermuda grass are performed with four replications. Our objective is to determine the ecophysiological responses and endurance abilities, cadmium and zinc bio-concentration and translocation, and the metal uptake mechanisms of Bermuda grass subjected to the four treatments. Our results demonstrated different treatments showed different ecophysiological responses in Bermuda grass. The shoot weights of cadmium treatment were significantly lower than those of the other treatments when the values determined after treated 25 d. Cadmium had a certain promotion effect on the root growth at the early growth stage. SPAD values indicate the relative amounts of chlorophyll present in plant leaves. SPAD value of 35 d was higher than 25 d of cadmium treatment, indicating cadmium had negative effects on chlorophyll contents in the early stage, but the negative effects might be ameliorated as plants adapted to cadmium stress. Waterlogging induced the biomass decrease and accelerated cadmium translocation. The plant leaves had the highest cadmium contents exposed to cadmium-and-waterlogging treatment, while the root showed the highest cadmium contents suffered only cadmium stress. The bio-concentration factor of cadmium-and-waterlogging treatment was less than that of cadmium treatment, but the translocation factor of cadmium-and-waterlogging treatment was much greater than that of cadmium treatment, which indicated phytostabilization was the main phytoremediation process subjected to only cadmium stress, while phytoextraction was the main process when exposed to cadmium-and-waterlogging treatment. Bermuda grass was a cadmium hyperaccumulator and had strong adaptability to waterlogging, cadmium toxicity or both. [ABSTRACT FROM AUTHOR]