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Induction heating model for high-frequency induction joining and repair of complex-shape graphite fiber/polymer matrix composites.

机译:用于高频感应​​连接和修复形状复杂的石墨纤维/聚合物基复合材料的感应加热模型。

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摘要

An induction heating model has been developed to predict heating patterns and behavior in complex-shape graphite fiber/polymer matrix composites under arbitrary induction coil shapes. The heating is assumed to be caused primarily by resistive losses in the fibers due to eddy currents generated by an alternating magnetic field. The model predicts the eddy current patterns in the material as a function of coil and material geometry, allowing the user to predict heating effects due to factors such as edges and anisotropy. Heat generation rates and heat transfer are then calculated to find the full transient temperature distribution throughout the composite. Additional capabilities of this program include the ability to deal with multiple coils and workpieces and moving coils. The model uses finite difference methods in two dimensions for these calculations. Basic electromagnetic and heat transfer laws are used to calculate the magnetic fields, eddy currents and temperatures. The predicted heating patterns correspond well with experimental data. The ultimate purpose of this model is to enhance the users' understanding and control of the induction heating process under various conditions and thereby make this a more viable method for joining and repair of composite materials.
机译:已经开发出感应加热模型来预测复杂形状石墨纤维/聚合物基复合材料在任意感应线圈形状下的加热模式和行为。假定加热主要是由于交变磁场产生的涡电流引起的纤维电阻损耗引起的。该模型根据线圈和材料几何形状预测材料中的涡流模式,从而使用户可以预测由于诸如边缘和各向异性等因素而产生的热效应。然后计算热产生速率和热传递,以找到整个复合材料的完整瞬态温度分布。该程序的其他功能包括处理多个线圈和工件以及移动线圈的功能。该模型在二维中使用有限差分法进行这些计算。基本的电磁和热传递定律用于计算磁场,涡流和温度。预测的加热模式与实验数据非常吻合。该模型的最终目的是增强用户在各种条件下对感应加热过程的理解和控制,从而使之成为连接和修复复合材料的更可行的方法。

著录项

  • 作者

    Lin, Wendy Wen-Ling.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Engineering Aerospace.;Engineering Materials Science.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 244 p.
  • 总页数 244
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:49:58

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