This study examines the use of greedy algorithms, dynamic programming algorithms, and lattice discretization algorithms for solving optimal solutions in practical scientific and engineering optimization problems. These three types of algorithms currently play a crucial role in many fields, and can be used to solve various problems such as parameter tuning, finding the optimal solution, and simplify complex real-world problems in order to improve the efficiency of real-world engineering, reduce the use of unnecessary computational resources, shorten the engineering time, and increase the accuracy of classification or measurement of engineering quantities. Greedy algorithms and dynamic programming algorithms solve for the optimal solution inside the feasible solution range. These two algorithms can be based on permutation, combination, iteration, or other strategies, suitable for power scheduling problems, unmanned aerial vehicle path planning problems, and so on. Grid discretization algorithms are mainly used for optimization problems in continuous feasible domains, the optimal solutions in continuous intervals are often difficult to find, while grid discretization algorithms are just able to transform continuous intervals into discrete lattice intervals, so as to find out the optimal solutions of the actual problems, which is applicable to problems such as geological numerical modeling, numerical simulation and analysis of fluids, and so on. The significance of greedy algorithms, dynamic programming algorithms, and grid discretization algorithms in the fields of engineering and science lies in solving complex optimization problems, providing the best decision-making solutions, making the allocation as well as the use of resources more efficient and effective, which can drive the development of science, engineering and other fields. Greedy algorithms, dynamic programming algorithms, and grid discretization algorithms provide important tools and methods for solving real-world problems.
Fiber metal laminates have been widely used as the primary materials in aircraft panels, and have excellent specific strength. Bending deformation is the most common loading mode of such components. An accurate theoretical predictive model for the bending process for the carbon reinforced aluminum laminates is of great significance for predicting the actual stress response. In this paper, based on the metal-plastic bending theory and the modified classical fiber laminate theory, a modified bending theory model of carbon-fiber-reinforced aluminum laminates was established. The plastic deformation of the thin metal layer in laminates and the interaction between fiber and metal interfaces were considered in this model. The bending strength was predicted analytically. The FMLs were made from 5052 aluminum sheets, with carbon fibers as the reinforcement, and were bonded and cured by locally manufacturers. The accuracy of the theory was verified by three-point bending experiments, and the prediction error was 8.4%. The results show that the fiber metal laminates consisting of three layers of aluminum and two layers of fiber had the best bending properties. The theoretical model could accurately predict the bending deformation behaviors of fiber metal laminates, and has significant value for the theoretical analysis and performance testing of laminates.
All-solid-state polymer lithium batteries have good safety, stability, and high energy densities and are employed in wireless sensors. However, the solid contact between the polymer electrolyte and the cathode leads to high interface resistance, limiting the broad application of solid-state lithium batteries. This paper proposes an ultrasonic fusion method to reduce the interface resistance between the polymer electrolyte and the cathode. The method applied a high-frequency ultrasonic vibration technique to impact the polymer electrolyte/cathode structure, melting the electrolyte at the interface and thus generating good contact at the interface. The experimental results showed that the ultrasonic fusion method decreased the interface resistance between the polymer electrolyte and the cathode by 96.2%. During the ultrasonic fusion process, high-frequency ultrasonic vibrations generated high temperatures at the interface, and the polymer electrolyte became molten, improving the contact between the electrolyte and the cathode. The ultrasonic fusion method eliminated the gaps at the interface, and the interface became more compact. Furthermore, ultrasonic vibrations made the molten electrolyte fill the holes in the cathode, and the contact area was enhanced, providing more Li+ ions transmission paths.
A novel ultrasonic vibration-assisted adhesion method for CFRP-to-aluminum joints is proposed. Extra force caused by ultrasonic vibration is introduced to reinforce the process of CFRP adhesion, which can overcome shortcomings in passive adhesion enhancement methods. The relationship between each ultrasonic vibration factor is explored, and the optimal ultrasonic vibration frequency, 15 KHz, is found. Through orthogonal experiment optimizing adhesive bonding process, it is found that the order of the influence of the factors on the adhesion strength is: Vibration time > Vibration amplitude > Vibration pressure > Vibration position, and the optimal ultrasonic vibration-assisted adhesive bonding of CFRP-to-aluminum joints (vibration time is 8s, vibration pressure is 0.40MPa, vibration position is 30mm and vibration amplitude is 56 μm) can improve adhesion strength by 40.14% and improve consistency of adhesion strength by 58.29%. This study provides a feasible and effective method for CFRP component adhesion.
Abstract This paper introduces the research on guide band welding in China and other countries, analyzes the characteristics of guide bands produced by remelt deposit welding and the application of the welding process to the joining between thin-walled submunition-based projectiles with a large caliber and launched by a howitzer. In addition, this paper raises the performance testing requirements for the grooveless remelt deposit welding process.
Slags of stainless steel making by EAF process in one plant from south and the other from north China were selected. The qualitative and quantitative analysis of all elements in samples were investigated first, the possible phases were identified by diffraction. Micro-morphology and composition analysis showed that Cr exist in iron-based alloy, chromite phase and Cr-containing silicate phase. It inferred that Cr (0) would be in iron-based alloy drops, Cr (III) would be in chromite phase. The Cr valence states in slag were assumed as 0, +2, +3 and +6. The caustic plus carbonate sodium solution was adopted to leach Cr(VI) as CrO42−; oxalic acid was applied to leach the Cr(0) in alloy drops; FeCl3–HCl–NH4Cl combined with V2+-HCl leaching process, the Cr(II) in slag would change to Cr2+ in solution; the resident containing Cr(III) was smelting by Na2O2. Cr in different valence states were separated and detected. The optimized leaching processes of Cr (VI) and Cr (0) were investigated. The influence of the leaching process on existence of other phase was checked also. The analysis results showed the route of separation and analysis is suitable for the slag samples. Both slag samples were with the same trend of contents in various Cr states. Among the states, Cr (0) content is highest, about 2.0–4.5 mass%; the second highest content is Cr (III), about 1.4–2.7 mass%; the content of toxic Cr (VI) is about 80–310 ppm, the lest one is Cr (II), about 1.0–2.1 ppm. This study would provide an experimental method and basis for the utilization and environmental impact of stainless steel smelting slag.
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