As one of the important components of intelligent warehousing logistics, Automated Guided Vehicles (AGVs) have greatly improved the efficiency of warehousing operations. AGVs are responsible for the delivery of goods in warehousing and logistics, and it is extremely important to maintain a stable running state. In this paper, an AGV in-situ steering dynamic model is established according to the actual size, and the center deviation phenomenon during AGV steering is theoretically analyzed to obtain the parameters that affect the AGV’s in-situ steering stability. Secondly, the dynamic simulation method is used to analyze the law of the stability of the AGV in-situ steering parameters to verify the correctness of the theoretical derivation equation. According to the analysis results, the motion parameters related to AGV in-situ steering are analyzed, and a reasonable design scheme is given. Based on the optimized fork-type AGV, the AGV in-situ steering control strategy is studied, and the adaptive fuzzy PID control algorithm is used to construct the fork-type AGV steering control system. Then the software and hardware design of the AGV steering control system is carried out. The optimized fork-type AGV has been turned to work stably after commissioning, meeting the actual work requirements.

Graphene-copper nanolayered composites have received research interest as promising packaging materials in developing next-generation electronic and optoelectronic devices. The weak van der Waal (vdW) contact between graphene and metal matrix significantly reduces the mechanical performance of such composites. The current study describes a new Cu-nanoporous graphene-Cu based bonding method with a low bonding temperature and good dependability. The deposition of copper atoms onto nanoporous graphene can help to generate nanoislands on the graphene surface, facilitating atomic diffusion bonding to bulk copper bonding surfaces at low temperatures, according to our extensive molecular dynamics (MD) simulations on the bonding process and pull-out verification using the canonical ensemble (NVT). Furthermore, the interfacial mechanical characteristics of graphene/Cu nanocomposites can be greatly improved by the resistance of nanostructure in nanoporous graphene. These findings are useful in designing advanced metallic surface bonding processes and graphene-based composites with tenable performance.

Surface bonding is an essential step in device manufacturing and assembly, providing mechanical support, heat transfer, and electrical integration. Molecular dynamics simulations of surface bonding and debonding failure of copper nanocones are conducted to investigate the underlying adhesive mechanism of nanocones and the effects of separation distance, contact length, temperature, and size of the cones. It is found that van der Waals interactions and surface atom diffusion simultaneously contribute to bonding strength, and different adhesive mechanisms play a main role in different regimes. The results reveal that increasing contact length and decreasing separation distance can simultaneously contribute to increasing bonding strength. Furthermore, our simulations indicate that a higher temperature promotes diffusion across the interface so that subsequent cooling results in better adhesion when compared with cold bonding at the same lower temperature. It also reveals that maximum bonding strength was obtained when the cone angle was around 53°. These findings are useful in designing advanced metallic bonding processes at low temperatures and pressure with tenable performance.

Hydraulic steel gates are extensively utilized in water conservancy and hydropower projects. However, due to the serious issue of overdue service and sloppy operation and maintenance, many of them suffer from long-term operational issues, leading to frequent sudden accidents that endanger the safety of people's lives and property. Therefore, accurately evaluating the health state of hydraulic steel gates is crucial for ensuring their safe operation. Firstly, accident cases of hydraulic steel gates are collected, and the influencing factors are analyzed using Grounded Theory (GT). Then, a health evaluation index system consisting of 3 sub-objectives (safety, adaptability, durability), 9 primary indexes, and 23 secondary indexes is constructed. Secondly, the weights of evaluation indexes are determined by applying the Decision-making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) method. Finally, a health evaluation model is established based on the Fuzzy Comprehensive Evaluation (FCE) method, and the health assessment is carried out by taking the plain gate of a reservoir spillway tunnel as an example. The results show that compared to the Fuzzy Analytic Hierarchy Process (FAHP) weighting method or ANP weighting method alone, the GT-DEMATEL-ANP method comprehensively considers indicator applicability, correlation, and importance, enhancing weight calculation accuracy and scientific assignment, resulting in a more accurate health evaluation.