A model of a micro-texture tool featuring various textures such as micro-pits, parallel grooves, vertical grooves, and oblique grooves was developed. The impact of these micro-texture tools on the turning process of titanium alloy was investigated using the finite element analysis software ABAQUS. Through an examination of cutting force, friction coefficient, cutting temperature, and surface residual stress for micro-texture tools with distinct morphologies, the optimal micro-texture morphology was determined. The findings reveal that micro-texture tools can effectively reduce the cutting force, friction coefficient, and cutting temperature while transforming surface residual stress from tensile to compressive on the workpiece. Furthermore, with increasing cutting speed, cutting force and cutting temperature rises, friction coefficient decrease, and the residual stress on the workpiece surface shifts from compressive to tensile stress, exhibiting an ascending trend.
Aerobic oxidative desulfurization is a safe and environmentally friendly desulfurization method, but oxygen usually needs to be activated under harsh conditions, the synthesis of efficient catalyst is an effective way to improve desulfurization activity. In this work, flower?like cobalt molybdate with large specific surface area was synthesized by one?step hydrothermal method using cobalt chloride and ammonium molybdate as raw materials. In addition, urea is used as precipitation agent and structure control agent. The morphology and structure of the CoMoO4 were characterized by FT?IR, XRD, SEM, XPS and N2 adsorption desorption techniques. Dibenzothiophene in simulated oil was removed using CoMoO4 as catalyst and molecular oxygen as oxidant. The effects of reaction temperature, the flow of oxygen, the amount of CoMoO4 and the type of sulfur compounds on the desulfurization rate were investigated. In addition, the recycling performance of flower?like CoMoO4 was studied. The experiment shows that the desulfurization rate can reach 98.2% under the optimal reaction conditions. The catalyst can be reused for 5 times without significant reduction in oxidative desulfurization activity. The formation of superoxide radical in the oxidation desulfurization process resulting in high desulfurization activity.
Thiacalix[4]arene ligands have the advantages of high recognition, derivatization, excellent stability and other advantages. Lanthanide (Ln) ions can coordinate with thiacalix[4]arene ligands to form multi?functional coordination clusters, which received increasing attention due to their unique catalytic, magnetic, optical properties. Thiacalix[4]arene can sensitize Ln ions to luminescence by the coordination of phenol and S groups via the "Antenna effect". This paper reviewed recent advances in structures, luminescent properties, and applications of luminescent Ln?thiacalix[4]arene complexes.
Citric acid type deep eutectic solvent was synthesized using citric acid（CA） and choline chloride (ChCl) as raw materials. The existence of hydrogen bonding in deep eutectic solvents (DESs) was determined by infrared spectrum and hydrogen spectra. Sulfide in simulated oil was removed using DESs as extractant and potassium bisulfate as oxidant. The effects of the amount of water, the amount of oxidant, the ratio of hydrogen bond donor and acceptor, reaction temperature and different sulfides on desulfurization rate were investigated, and the optimum reaction conditions were determined. The results showed that the removal rate of DBT in simulated oil was 98.50% at V（model oil）=5 mL, n（ChCl）/n（CA）=1.0∶0.5, V（DES）=2.0 mL, T=30 ℃, m(catalyst)=0.6 g, m(water)=0.4 g. After five times of recycling, the desulfurization rate remains above 95.00%.
A novel distributed model predictive control (DMPC) approach based on immune algorithm (IA) to find out the optimal system decomposition structure is proposed. The IA is used to solve decomposition problems for input clustering decomposition (ICD) and input?output pairing decomposition (IOPD), which can minimize the impact of input?output coupling between systems, and then DMPC algorithm is used to control the decomposed system. This approach effectively reduces the coupling between subsystems, and reduces the communication load of the system. Finally, a heavy oil fractionation chemical process is simulated and compared with the centralized MPC simulation results to verify the effectiveness of the algorithm.
Titanium sulfate was used as a raw material, and a titanium oxide (TiO2) was prepared by direct high?temperature calcination in a muffle furnace. FT?IR, XRD, UV?Vis, SEM were used to characterize the structure of the catalyst. The results show that the direct calcination method can prepare anatase titanium dioxide and apply it to the oxidative desulfurization of dibenzothiophene. Using acetonitrile as the extractant and titanium oxide as the catalyst, the oxidation method was used to remove dibenzothiophene from the simulated oil. The effects of catalyst dosage, reaction temperature, n(H2O2)/n(S), and different sulfur compounds on the desulfurization effect were investigated, and the recycling performance of the catalyst was also investigated. Under the optimal desulfurization conditions, the desulfurization rates of dibenzothiophene, 4,6?dimethyldibenzothiophene, benzothiophene, and mixed diesel are 99.5%, 35.6%, 65.0%, and 53.4%. After the catalyst was recycled five times, the catalytic desulfurization effect was still as high as 90.3%.
