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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science >Finite element implementation of the eigenfunction series solution for transient heat conduction problems with low Biot number
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Finite element implementation of the eigenfunction series solution for transient heat conduction problems with low Biot number

机译:特征函数级数解的有限元实现,用于解决低Biot数的瞬态热传导问题

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Analytical solutions to transient heat conduction problems are often obtained by superposition of a particular solution (often the steady-state solution) and an eigenfunction series, representing the terms that decay exponentially with time. Here, a finite element realization of this method is presented in which conventional finite element discretization is used for the spatial distribution of temperature and analytical methods for the time dependence. This leads to a linear eigenvalue problem whose solution then enables a general numerical model of the transient system to be created. The method is an attractive alternative to conventional time-marching schemes, particularly in cases where it is desired to explore the effect of a wide range of operating parameters. The method can be applied to any transient heat conduction problem, but particular attention is paid to the case where the Biot number is small compared with unity and where the evolution of the system is very close to that with zero heat loss from the exposed surfaces. This situation arises commonly in machines such as brakes and clutches which experience occasional short periods of intense heating. Numerical examples show that with typical parameter values, the simpler zero heat loss solution provides very good accuracy. One also shows that good approximations can be achieved using a relatively small subset of the eigenvectors of the problem.
机译:瞬态热传导问题的解析解通常是通过将特定解(通常是稳态解)与本征函数级数叠加而获得,本征函数级数表示随时间呈指数衰减的项。在此,给出了该方法的有限元实现,其中常规的有限元离散化用于温度的空间分布,而分析方法则与时间相关。这导致了线性特征值问题,然后通过求解该问题,可以创建瞬态系统的通用数值模型。该方法是常规时间前进方案的一种有吸引力的替代方法,特别是在需要探索各种操作参数的影响的情况下。该方法可以应用于任何瞬态热传导问题,但是要特别注意比奥特数小于一的情况,并且系统的演化非常接近暴露表面零热损失的情况。这种情况通常发生在机器(例如制动器和离合器)中,偶尔会经历短暂的强烈加热。数值示例表明,采用典型的参数值,更简单的零热损失解决方案可提供非常好的精度。一个人还表明,使用问题的特征向量的相对较小的子集可以实现良好的近似。

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