Estimation of Time-Varying Heat Flux for One-Dimensional Heat Conduction Problem by Hybrid Inverse Method

被引：1
|
作者：
Shah, Sanil [1 ]
Parwani, Ajit Kumar [1 ]
机构：
[1] Inst Infrastruct Technol Res & Management, Mech Engn Dept, Ahmadabad, Gujarat, India
来源：
RECENT ADVANCES IN MECHANICAL INFRASTRUCTURE ( ICRAM 2019) | 2020年
关键词：
Conjugate gradient method; Inverse heat transfer; Hybrid algorithm; JAYA; OPTIMIZATION;
D O I：
10.1007/978-981-32-9971-9_22
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Time-varying heat flux for one-dimensional heat conduction problem is estimated by inverse heat transfer method. The conjugate gradient method (CGM) and hybrid of JAYA-CGM algorithm are used for estimation. Finite volume method (FVM) is used to discretize one-dimensional problem domain for determining simulated temperature measurements. These temperature measurements are utilized in CGM and hybrid algorithm in order to estimate transient heat flux. Results show that hybrid algorithm estimates constant, linearly increasing, and linearly decreasing heat flux better than CGM.
引用
收藏
页码：215 / 224
页数：10
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