Multi-objective optimization of adjustable orifice valve insulation lining based on thermal-solid coupling and improved whale algorithm

<title>Abstract</title> <p>Aiming at the problem that it is difficult to balance the thermal insulation performance and structural reliability of the adjustable orifice valve insulation lining in high temperature environment, the finite element analysis method is used to analyze the distribution characteristics of the two temperature fields and stress fields of the adjustable orifice valve lining structure with / without anchoring parts under high temperature conditions. The parametric modeling of the adjustable orifice valve insulation lining structure is carried out. Combined with the surrogate model and the improved L-TIWOA optimization BP neural network algorithm, the multi-objective optimization design of key parameters such as lining thickness and anchoring layout is carried out, and the optimal combination parameters are obtained. The results show that the optimal combination parameters obtained by optimization are anchorage spacing of 196.5 mm, diameter of 9.6 mm, lining thickness of 119.1 mm and coating thickness of 3.0 mm. The optimized insulation lining structure reduces the maximum equivalent stress of the lining by about 36.3%. The above research provides a theoretical basis for the lightweight and long life design of high temperature valve insulation structure.</p>