Safety Detection and Evaluation Method of Pressure Vessel Use Based on Multiple Regression Algorithm

Pressure vessels are indispensable equipment in modern industry and life. Most of the traditional pressure vessels are made of pure metal or are lined with metals or alloys. The structure is simple but expensive and the cost is high, which limits the application of pressure vessels to a certain extent. In this paper, the design and analysis of the inner lining and winding layer of the composite pressure vessel is mainly based on the multiple regression algorithm. Using high-density polyethylene as the lining material, the structural parameters and molding process of the lining are designed, and the finite element analysis of the forming of the lining is carried out, and the mold for forming the lining is designed. By studying the tangent point of winding forming, this paper analyzes the winding line type of the pressure vessel, and designs the winding layer and the winding thickness. Then through the method of multiple regression numerical simulation, compared with the theoretical analysis, an efficient and reliable pressure vessel safety detection and evaluation method is finally realized. The finite element model of the vessel is established on the basis of the multiple regression algorithm, and then the failure strength of the pressure vessel is studied by using the finite element software. The final results of the research show that with the increase of the pressure, the waveform propagation delay under the pressure value inside the pressure vessel also increases. 0.345s, 0.767s, 1.261s and 1.724s, and maintaining a small pressure at a temperature of 23.8°C can effectively reduce the propagation delay.