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Experiments of co-gasification of spirit-based distillers' grains (SDG) and sewage sludge (SS) were carried out with red mud (RM) by using a self-designed fixed-bed gasifier. The effects of RM addition, gasification reaction temperature, SS and SDG blending ratio and other factors on the gasification reaction characteristics and synergism were investigated. The results are as follow: RM had catalytic effect on SS and SDG co-gasification, which can enhance the gasification reaction and H2 yield; increasing the temperature can enhance the gasification reaction and reduce the syngas H2/CO; with the increase of SDG, the H2 yield gradually grew; with the rise of SS, the gasification reaction gradually augmented. The catalytic mechanism was mainly due to the redox cycle of Fe2O3 in RM, which can promote the water transfer reaction. At the same time, the eutectic mixture of K, Na, Ca, Fe and other metal elements at high temperatures was the main reason for the synergistic effect. [ABSTRACT FROM AUTHOR]

The corrosion behavior of 316 stainless-steel with a tantalum (Ta-316) coating deposited using PVD technology was investigated in subcritical environments containing Cl− and Br− at 290 °C and 6 MPa. The corrosion rate of Ta-316 continuously decreased with increasing exposure time, demonstrating its high corrosion resistance. A thin film, mainly composed of Ta 2 O 5 , formed on the surface of the tantalum coating, preventing the diffusion of substrate elements. The corrosion process and mechanism of Ta-316 were also examined. • Corrosion of alloys by Cl- and Br- under subcritical conditions was studied. • The tantalum coating effectively inhibits substrate corrosion. • Outer layers is mainly composed of Ta 2 O 5 , while transition layer is composed of Ni-Fe oxides. • The uniform corrosion induced by Br- trended to be more severe than that induced by Cl- in the short term. [ABSTRACT FROM AUTHOR]

Performance prediction plays a key role in product quality control and quality optimization. However, due to the error transmission in the refrigeration compressor assembly process and the imbalance of data collected during the refrigeration compressor assembly process, existing performance prediction methods cannot accurately extract key features of the assembly process resulting in low prediction accuracy. In this paper, a knowledge graph neural network (AKGNN) model with predictive value calibration is proposed for refrigeration compressor performance prediction in two stages. First, a sequence graph attention feature extraction module is designed to extract key features of the assembly process data to cope with the assembly error propagation. Second, to deal with the imbalanced distribution of compressor data, a predictive value calibration (PC) module is designed to calibrate the output of the first stage. Experimental results demonstrate the proposed method outperformed all compared cutting-edge methods in four evaluated indicators. [ABSTRACT FROM AUTHOR]

• CSWO of M−NA and nitrogen conversion by CuCo 2 O 4 catalyst was investigated. • Degradation pathways and nitrogen migration mechanism of M−NA were proposed. • Elevate temperature can promote NO 3 – to NO 2 –, resulting in NH 4 + with NO 2 – to form N 2. • CuCo 2 O 4 catalyzing the reaction of ·NO 2 with ·NH 4 , hastening N 2 generation. • CuCo 2 O 4 may induce a reaction between the nitro and amino groups on M−NA to form N 2. Catalytic subcritical water oxidation (CSWO) of M−nitroaniline (M−NA) was investigated in a fused quartz tube reactor (FQTR) to determine the effects of reaction parameters on M−NA mineralization rate, total nitrogen (TN) removal rate and nitrogen-containing products distribution. The results indicated that the TN removal rate was only 26.36 % at 200 °C, 200 % excess oxidant and 15 min residence time, while the TN removal rate reached 67.83 % at 360 °C in SWO of M−NA. Compared with SWO of M−NA, the mineralization rate and TN removal rate of CSWO of M−NA increased by about 10 % and 17.83 %, respectively. The main reason is mainly attributed to CuCo 2 O 4 catalyzing the preferential reaction of ·NO 2 with ·NH 4 , hastening N 2 generation. Alternatively, the CuCo 2 O 4 catalyst may induce a direct reaction between the nitro and amino groups on M−NA within the benzene ring to form N 2. Moreover, degradation pathways and nitrogen migration mechanism of M−NA under SWO/CSWO conditions were proposed. These crucial findings are expected to guide the development of environmentally sustainable catalytic technologies towards addressing significant water pollution challenges. [ABSTRACT FROM AUTHOR]