Scholarlink

<p>This work examines theoretical and experimental aspects concerning the thermal characteristics of components fabricated via the fused deposition modeling (FDM) technique utilizing conductive ABS and PLA polymers. It use inverse problems to accomplish this. An infrared thermographic camera assessed the temperature and facilitated heat flow between the plates to acquire experimental data. We developed the mathematical model for addressing the direct problem based on transient heat conduction and formulated the inverse problem to ascertain a set of optimal parameters utilizing stochastic approaches. We devised a computer algorithm to ascertain the specific heat capacity and thermal conductivity of diverse infill patterns, then corroborated the method utilizing materials with established attributes. The wiggle infill design produced the highest specific heat capacity values for ABS-graphene, whereas the grid infill pattern was excellent for PLA-graphene. The triangular infill pattern for ABS-graphene and the rectilinear infill pattern for PLA-graphene produced the optimal thermal conductivity values. This work emphasizes the significance of comprehending and employing inverse problem techniques in the thermal characterization of anisotropic materials, including the conductive polymers utilized in the FDM process.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Theoretical and experimental approach with inverse problems for the thermal characterization of parts printed by FDM

  • 期刊论文

  • 发表日期：

    2025年1月2日

查看全文
  • Jose Carlos de Camargo,
  • Antonio Jose da Silva Neto,
  • Diego Campos Knupp,
  • Luiz Alberto da Silva Abreu,
  • Gabriel Marques de Andrade

摘要

This work examines theoretical and experimental aspects concerning the thermal characteristics of components fabricated via the fused deposition modeling (FDM) technique utilizing conductive ABS and PLA polymers. It use inverse problems to accomplish this. An infrared thermographic camera assessed the temperature and facilitated heat flow between the plates to acquire experimental data. We developed the mathematical model for addressing the direct problem based on transient heat conduction and formulated the inverse problem to ascertain a set of optimal parameters utilizing stochastic approaches. We devised a computer algorithm to ascertain the specific heat capacity and thermal conductivity of diverse infill patterns, then corroborated the method utilizing materials with established attributes. The wiggle infill design produced the highest specific heat capacity values for ABS-graphene, whereas the grid infill pattern was excellent for PLA-graphene. The triangular infill pattern for ABS-graphene and the rectilinear infill pattern for PLA-graphene produced the optimal thermal conductivity values. This work emphasizes the significance of comprehending and employing inverse problem techniques in the thermal characterization of anisotropic materials, including the conductive polymers utilized in the FDM process.