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GA-based Heat Input Estimation Technique for Simulation of Shell Forming by Line-Heating

机译:基于遗传算法的线加热壳成形热输入估算技术

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The temperature of the gas adjacent to the plate T_G and local heat transfer coefficient α can be considered to remain nearly unchanged with time during spot and line heating. A generic algorithms (GA)-based direct identification technique for T_G and α is proposed. T_G and α during a spot heating test is identified by the proposed technique, and T_G for this spot heating test is measured by laser induced fluorescence technique. The validity of the proposed GA-based technique is investigated by comparing the identified and measured T_G, and comparing the measured T_B and that calculated by giving the identified T_G and a as thermal boundary conditions. As results, the followings are found.rn1) Distributions of T_G and a during a spot heating test can be directly identified by proposed GA-based technique. The identified T_G is close to the one measured by a LIF system.rn2) The plate back surface temperature during the spot heating test calculated from the identified T_G and a is comparable to the one measured. The results obtained demonstrate the accuracy of the identified heat input parameters and the validity of the proposed GA-based identification technique.rn3) The proposed GA-based identification technique is valid for the high power heating case for which the conventional IHC-based techniques are not applicable.
机译:在点和线加热期间,可以认为与板相邻的气体温度T_G和局部传热系数α随时间保持几乎不变。提出了一种基于遗传算法的T_G和α直接识别技术。通过提出的技术确定点加热测试中的T_G和α,并通过激光诱导荧光技术测量该点加热测试的T_G。通过比较识别出的和测量到的T_G,比较测量出的T_B和通过给出识别出的T_G和a作为热边界条件计算出的T_G,来研究所提出的基于GA的技术的有效性。结果发现:rn1)提出的基于GA的技术可以直接确定点加热测试中T_G和a的分布。所确定的T_G接近于通过LIF系统测得的温度。rn2)根据所标识的T_G计算出的点加热测试期间的板背面温度,a与所测得的温度相当。获得的结果证明了所识别的热输入参数的准确性以及所提出的基于GA的识别技术的有效性。rn3)所提出的基于GA的识别技术对于传统IHC技术在大功率加热情况下是有效的。不适用。

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