Abstract: In this paper, five kinds of composite materials were prepared by using graphene oxide (or graphene) doped with TiO2. The photocatalytic properties of five kinds of composite materials, pure graphene oxide and pure TiO2 for methyl orange, phenol solution and rhodamine B simulated laboratory wastewater were studied respectively. The experimental results show that the photocatalytic performance of graphene oxide-doped titanium dioxide composites is better than that of graphene oxide-doped titanium dioxide composites. When graphene oxide is doped with titanium dioxide as catalyst, the higher the purity of graphene oxide, the better the photocatalytic effect of the composite material. Doped titanium dioxide is better than undoped titanium dioxide. When the amount of doped titanium dioxide is 0.3g, the photocatalytic effect is the best. Based on the comprehensive data, it can be clearly found that graphene oxide doped TiO2 composite is more suitable for degrading rhodamine system. By simulating the treatment of laboratory wastewater, it lays a theoretical foundation for the treatment of laboratory wastewater in the future. Read More

Abstract: It aims to explore the use of a combination of advanced software and hardware technologies to design intelligent cold chain products to improve the efficiency and reliability of cold chain logistics. This thesis first analyzes the current challenges and problems in cold chain logistics, including difficulties in temperature monitoring, data collection and insufficient traceability. It then details the software design of the smart cold chain product, including the optimization of data analysis and prediction algorithms, as well as the design of the user interface, so as to achieve real-time monitoring and analysis of the cold chain logistics process. Finally, the paper also describes innovations in hardware design, including improvements in sensor technology and integration of IoT devices to improve the performance and stability of cold chain products. The design of intelligent cold chain products through the combination of hardware and software can effectively improve the quality and efficiency of cold chain logistics and bring new opportunities and challenges to the development of the cold chain industry. Read More

Abstract: In this paper, a self-developed surface-enhanced Raman scattering (SERS) substrate was used to detect aspartame (APM) in beverages by combining Raman spectroscopy with deep learning. A composite film of titanium dioxide nanocones and precious metals (gold, silver) nanoparticles was prepared on a titanium substrate by hydrothermal method and magnetron sputtering. The detection limit of Rhodamine 6G on the substrate was 10-7 M. A convolutional neural network deep learning algorithm model was compiled based on Python language to identify and analyze aspartame detected on SERS basis. The model could quickly identify whether the beverage contained aspartame with an accuracy of 99.11%, providing a rapid detection method for protecting public food safety. Read More

Abstract: Within the framework of sustainable development and technological advancement, 3D printing has emerged as a novel trend in industrial manufacturing. Traditional wood usage presents significant challenges, including high resource consumption, low production efficiency, and environmental pollution. This study explores the application of 3D printing technology in wooden art and furniture products, which supports complex designs, allows rapid prototyping, and small-batch production, thereby significantly reducing material waste. The research methodology includes design concept and model creation, material selection and processing, optimization of the printing process, and post-processing and refinement. The key findings suggest that 3D printing can utilize recycled wood, reduce costs, and enhance material utilization, supporting environmental sustainability. This study highlights the unique value of 3D printing in enhancing production efficiency, environmental friendliness, and cultural modernization. Read More

Abstract: In the rapidly advancing field of digital manufacturing technology, dentistry has entered an unprecedented era of technological revolution. The convoluted steps, exorbitant costs, and inefficiencies of traditional denture fabrication processes demand a novel production system to meet contemporary demands for efficiency, precision, and customization in oral healthcare. This study aims to devise and actualize a denture manufacturing production system underpinned by integrated three-dimensional (3D) printing technology. Utilizing oral scanners and computer-aided design software, we established a comprehensive production workflow encompassing design, preparation, printing, post-processing, and quality control and inspection. Findings suggest that such an integrative approach significantly enhances manufacturing accuracy and efficiency while reducing costs. Beyond presenting a novel paradigm in dental production, this research also forges new pathways in the application of digital manufacturing technology. Ultimately, this study furnishes pivotal technological support to elevate the quality and personalization of dental care and contribute to socio-economic advancement. Read More

Abstract: As a new sustainable development technology, recycled aggregate concrete (RAC) has a profound impact on the green development of construction engineering. However, due to the defects of RAC itself, it is hindered in engineering application. The steel-RAC composite structure can effectively enhance the mechanical properties of RAC and promote the application of RAC in practical engineering. Based on the recent research status of steel-RAC composite structures, including recycled aggregate concrete filled steel tube (RACFST) columns and recycled aggregate concrete -encased recycled aggregate concrete filled steel tube (RAC-encased RACFST) composite columns the axial compression, the compression performance, seismic performance and fire resistance of composite columns are reviewed in this paper, and the future research direction is proposed. Read More

Abstract: Magnesite is a non-metallic mineral rich in magnesium. Due to its excellent fire resistance, it is widely used in the manufacture of magnesia-carbon bricks, magnesia and other refractory materials, which are widely used in various fields such as chemical industry and metallurgy. Due to the uneven distribution of magnesite resources and the reduction of high-quality magnesite resources caused by large-scale mining, the selection of low-grade magnesite has become a key problem of magnesium resources. The lower grade ores are abandoned because they contain a large amount of impurities and do not meet the requirements of industrial production, which leads to the unreasonable utilization of magnesite resources. This paper summarizes the current status of low-grade magnesite separation technology and flotation reagent development in China, and gives some suggestions on the development of low-grade magnesite beneficiation technology, aiming at providing certain theory and reference value for magnesite beneficiation. Read More