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Selective laser melting (SLM) technology is playing an increasingly important role in today’s manufacturing industry. However, the surface quality of SLM samples is relatively poor and cannot be directly applied to industrial production. Therefore, this paper focuses on the post-treatment process of SLM AlSi10Mg alloy. First, the rough machining is performed by a grinding process (GP), and then, the magnetic abrasive finishing (MAF) is used for finish machining. The experiment results show that the combination of GP and MAF can effectively reduce the surface roughness and improve the surface quality of SLM AlSi10Mg alloy. The GP reduced the surface roughness to drop from 7 μm (after SLM forming) to about 0.6 μm, and the rough surface with defects such as spheroids and pits evolved into the fine surface with scratches and pores. The MAF reduced the surface roughness to a minimum of 0.155 μm, which resulted in excellent surface morphology. The surface hardness after the GP was higher, and the MAF reduced the hardness of the GP surface.

In this paper, AlSi10Mg alloy powder is selected as the forming powder of Selective laser melting technology, and the AlSi10Mg alloy SLM curved surface sample is constructed by setting the internal and external layering parameters. In view of the relatively rough surface roughness of SLM technology molded parts, this paper selects the magnetic finishing technology with higher flexibility characteristics to perform surface finishing and finishing on the formed curved surface samples. Explore the feasibility of magnetic finishing technology on the finishing of SLM shaped curved parts, and test and analyze the surface roughness, surface hardness and hydrophobicity of the finishing permanent magnet tools and the curved surface samples before and after finishing. Finally, it was found that the use of a 75° trapezoidal slotted permanent magnet finishing tool to absorb spherical Al2O3 magnetic abrasives for flexible finishing of AlSi10Mg alloy SLM shaped curved surface samples can achieve better finishing results. In this paper, the orthogonal experiment method is used to optimize the finishing experiment. It is found that the finishing parameters of the spindle speed is 1800 r/min, the feed rate is 5 mm/min, the gap is 2 mm, and the abrasive consumption is 7 g to form the AlSi10Mg alloy SLM. The surface roughness Ra = 0.279 μm can be obtained by magnetic finishing of the curved sample, and the surface morphology of the sample has been greatly improved. At the same time, it is found that the magnetic finishing technology improves the surface roughness of the AlSi10Mg alloy SLM forming surface sample, while it does not change the surface hardness of the sample, but it can significantly improve the hydrophobicity of the sample surface.

In this paper, the magnetic abrasive finishing (MAF) on AZ31B magnesium alloy and 7075-T6 aluminum alloy was carried out, using the spherical composite magnetic abrasive particles (MAPs) prepared by our research group independently. The finishing experiments were conducted by using the Al 2 O 3 /Fe-based MAPs and SiC/Fe-based MAPs, respectively. The results of our works show that there are disparities in the mutual suitability between the MAPs with different abrasive phase and the processed materials. After finishing, the surfaces of workpieces with the foggy mirror effect are obtained. The effects of MAF with different abrasive phase on the surface quality were investigated. The material removal mechanism and surface formation processing of workpieces in MAF were analyzed. The conclusion is as follows: in MAF processing, under the combined action of plastic deformation flow, skiving, extrusion, and chemical reaction, the surfaces of workpieces meet the requirements of surface quality.

Constructing a built-in electric field has emerged as a key strategy for enhancing charge separation and transfer, thereby improving photoelectrochemical performance. Recently, considerable efforts have been devoted to this endeavor. This review systematically summarizes the impact of built-in electric fields on enhancing charge separation and transfer mechanisms, focusing on the modulation of built-in electric fields in terms of depth and orderliness. First, mechanisms and tuning strategies for built-in electric fields are explored. Then, the state-of-the-art works regarding built-in electric fields for modulating charge separation and transfer are summarized and categorized according to surface and interface depth. Finally, current strategies for constructing bulk built-in electric fields in photoelectrodes are explored, and insights into future developments for enhancing charge separation and transfer in high-performance photoelectrochemical applications are provided.

Protein-based biomaterials have the characteristics of stability and biocompatibility. Based on these advantages, various bionic materials have been manufactured and used in different fields. However, current protein-based biomaterials generally need to form monomers in cells and be purified before being assembled in vitro. The preparation process takes a long time, and the complex cellular environment is challenging to be optimized for producing the target protein product. Here this study proposed technology for in situ synthesis and assembly of the target protein, namely the cell-free protein synthesis (CFPS), which allowed to shorten the synthesis time and increase the flexibility of adding or removing natural or synthetic components. In this study, successful expression and self-assembly of the dihedral symmetric proteins proved the applicability of the CFPS system for biomaterials production. Furthermore, the fusion of different functional proteins to these six scaffold proteins could form active polymers in the CFPS system. Given the flexibility, CFPS is expected to become a powerful tool as the prototyping and manufacturing technology for protein-based biomaterials in the future.

TiO2 nanotube film is a promising photocatalyst associated with its unique physical and chemical properties such as optic, electronic, high specific surface area. Liquid-phase decomposition provides a feasible way for the preparation of functional thin film. This paper reviews and analyzes the formation mechanism of TiO2 nanotube film by liquid phase deposition. The effect of preparation parameters, such as the kinds of electrolyte solution for the preparation of anodic alumina template, volume fraction of Al2O3 on the template, the concentration of the deposition solution, and heat treatment, on the formation of TiO2 nanotube film has been analyzed. The effects of doping of metallic and nonmetallic elements on the photocatalytic activity of TiO2 nanotube have been discussed.

Freshwater scarcity and industrial wastewater pollution present dual challenges that severely hinder sustainable development. Solar‐driven interfacial evaporation (SDIE) strategy, combined with heavy metal ion removal, offers a cost‐effective solution for wastewater purification by harnessing solar energy. Herein, inspired by the integration of photothermal conversion and adsorption capabilities, a multifunctional aerogel (r‐WCTOA) evaporator was engineered by introducing oxygen vacancies in WO 3 (r‐WO 3− x ) to enhance its photothermal conversion efficiency, followed by compositing with wastepaper‐derived cellulose. The enhanced localized surface plasmon resonance (LSPR) of r‐WO 3− x particles, coupled with the porous structure of a cellulose fiber substrate exhibiting excellent mechanical integrity, enables efficient light absorption up to 92.89%. The r‐WCTOA evaporator achieves an average water evaporation rate of 1.812 kg m −2 h −1 with a desalination efficiency of 99.8% under one sun irradiation. Additionally, r‐WCTOA evaporator demonstrates superior heavy metal removal capacity with a maximum Pb 2+ adsorption performance of 171.86 mg g −1 , producing purified water that meets WHO drinking water standards. Notably, the freshwater recovered from evaporated leachate could be directly reused for subsequent irrigation, ensuring a sustainable and resource‐efficient remediation cycle. This multifunctional r‐WCTOA evaporator with porous structures synergistically achieves efficient wastewater purification and heavy metal removal during solar‐driven evaporation, providing a scalable, cost‐effective and eco‐friendly solution for solar water treatment systems.

Existing biomarkers for ovarian cancer lack sensitivity and specificity. We compared the diagnostic efficacy of nonlinear machine learning and linear statistical models for diagnosing ovarian cancer using a combination of conventional laboratory indicators. We divided 901 retrospective samples into an ovarian cancer group and a control group, comprising non-ovarian malignant gynecological tumor (NOMGT), benign gynecological disease (BGD), and healthy control subgroups. Cases were randomly assigned to training and internal validation sets. Two linear (logistic regression (LR) and Fisher’s linear discriminant (FLD)) and three nonlinear models (support vector machine (SVM), random forest (RF), and artificial neural network (ANN)) were constructed using 22 conventional laboratory indicators and three demographic characteristics. Model performance was compared. In an independent prospectively recruited validation set, the order of diagnostic efficiency was RF, SVM, ANN, FLD, LR, and carbohydrate antigen 125 (CA125)-only (AUC, accuracy: 0.989, 95.6%; 0.985, 94.4%; 0.974, 93.4%; 0.915, 82.1%; 0.859, 80.1%; and 0.732, 73.0%, respectively). RF maintained satisfactory classification performance for identifying different ovarian cancer stages and for discriminating it from NOMGT-, BGD-, or CA125-positive control. Nonlinear models outperformed linear models, indicating that nonlinear machine learning models can efficiently use conventional laboratory indicators for ovarian cancer diagnosis.

TiO 2 nanotube film is a promising photocatalyst associated with its unique physical and chemical properties such as optic, electronic, high specific surface area. Liquid-phase decomposition provides a feasible way for the preparation of functional thin film. This paper reviews and analyzes the formation mechanism of TiO 2 nanotube film by liquid phase deposition. The effect of preparation parameters, such as the kinds of electrolyte solution for the preparation of anodic alumina template, volume fraction of Al 2 O 3 on the template, the concentration of the deposition solution, and heat treatment, on the formation of TiO 2 nanotube film has been analyzed. The effects of doping of metallic and nonmetallic elements on the photocatalytic activity of TiO 2 nanotube have been discussed.

Quantum-state texture is a newly recognized quantum resource that has garnered attention with the advancement of quantum theory. In this work, we address several key aspects of quantum-state texture resource theory, including the quantification of quantum-state texture, quantum state transformation under free operations, and the relationships between quantum resources. We first propose two new measures of quantum-state texture and introduce a specific functional form for constructing such measures via the convex roof method. Then, we determine the maximum probability of quantum state transformation under free operations. Finally, we establish connections between quantum-state texture and other prominent quantum resources, such as coherence, imaginarity, and predictability. Our research contributes to the measure theory of quantum-state texture and enriches the overall framework of quantum-state texture resource theory.