Aero?engine usually contains a large number of pipes, the arrangement sequence of these pipes has a certain impact on the overall layout effect of the system. In order to reduce the degree of cross layout of multiple pipes, the evaluation method of pipe disassembly complexity was designed based on product assembly and disassembly, a Discrete Chicken Swarm Optimization (DCSO) algorithm was used to solve the pipe layout sequence planning. First, a calculation method of pipe disassembly complexity was proposed to evaluate the complexity of pipe system layout scheme. Next, the pipe was pre?planned by A* algorithm. Then, an obstacle avoidance algorithm was designed based on engineering rules to adjust the pipe. Finally, taking the pipe length and disassembly complexity as the optimization objectives, the pipe layout sequence was optimized based on DCSO, and the feasibility of the proposed method was verified by a layout example.

In this paper, the method of combining Grand Canonical Monte Carlo simulation and Ideal Adsorption Solution Theory was used to study the adsorption performance of CO₂ and CH₄ on NaX zeolite. By comparing the fitting results of simulation data under different adsorption theoretical models and calculating the adsorption heat, a description of the adsorption and separation process of CO₂ and CH₄ gas was obtained. The results show that the adsorption strength of CH₄ molecules is weaker than that of CO₂ molecules, and its adsorption is closer to the ideal adsorption. The adsorption selectivity of CO₂ molecules is decreases with the increase of its content in the air, and decreases with the increase of temperature under low pressure conditions. Therefore, low temperature and low pressure are more conducive to the separation of CO₂ molecules.

The aero?engine clamp has an assembly constraint relationship with the pipeline, and its layout position has an important influence on the direction of the pipeline and the vibration performance. An optimization method of engine clamp position adjustment based on improved Grey Wolf Optimization (GWO) was proposed. Based on the existing pipe?clamp geometric layout scheme, this method takes the adjustment of the natural frequency of the pipe?clamp to avoid resonance as the main optimization goal, takes the pipeline obstacle avoidance and the pipeline?clamp meeting assembly constraints as constraints, and applies the improved GWO algorithm to carry out the secondary optimization and adjustment of the clamp position. In order not to affect the geometric layout of the pipeline, an optimized space for the position of the clamp based on the pipeline projection line was established. In order to improve the efficiency of optimization calculation, the Kriging surrogate model reflecting the position of clamp and the natural frequency of pipeline was established to replace the time?consuming finite element calculation program in the optimization process. In order to improve the search performance of GWO, a GWO algorithm with improved convergence factor was proposed. This method can optimize the position of the clamp under the premise of ensuring the fine adjustment of the pipe geometric layout, and can ensure that the pipe and clamp meet the assembly constraints. Finally, the effectiveness of the proposed method was verified by the test function example and the clamp arrangement example.