Optimal Design Parameters of Exhaust Valve Spring in IC Engines Using Metaheuristic Algorithms

A. Arabí, H. Osman
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Abstract

The exhaust valve is responsible for the engine's smooth operation. Exhaust gases are directed from the combustion chamber to the exhaust manifold via the exhaust valve. Valve springs are subjected to tensile strains as a result of gas pressure fluctuations, fluctuating loads, and elasticity loosening as the IC engine runs. Excessive valve noise and internal engine damage can be caused by weak or cracked exhaust valve springs in an IC engine. Recent Metaheuristic Algorithms, such as Sin-Cos, PSO, GPSO, Cukoo, and ABC, are utilized in this study to find the best design parameters for the exhaust valve spring while keeping the spring's deflection, shear stresses, and fatigue in mind. The PSO and Sin-Cos algorithms outperform the others in terms of speed of convergence, while the GPSO achieves a helical spring weight of 2.1N.
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基于元启发式算法的内燃机排气门弹簧参数优化设计
排气阀负责发动机的平稳运转。废气通过排气阀从燃烧室引导到排气歧管。由于气体压力波动、负载波动和内燃机运行时的弹性松动,气门弹簧受到拉伸应变的影响。过度的气门噪音和发动机内部损坏可能是由弱或破裂的排气门弹簧在一个集成电路发动机。本研究采用了Sin-Cos、PSO、GPSO、Cukoo和ABC等最新的元启发式算法,在考虑弹簧挠度、剪切应力和疲劳的情况下,为排气阀弹簧找到最佳设计参数。PSO和Sin-Cos算法在收敛速度方面优于其他算法,而GPSO实现了2.1N的螺旋弹簧权。
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