Abstract <p>Additive manufacturing (AM), characterized by layer-by-layer material addition using computer-aided design, presents an approach to manufacturing complex parts. However, AM processes naturally bring some difficulties such as thermally induced residual stresses, particularly in laser powder bed fusion (L-PBF) processes. This research paper proposes a novel topology optimization (TO) strategy that minimizes the residual stresses on the final product manufactured by metal AM process. In this context, peridynamics topology optimization (PD-TO) is utilized to perform TO within an integrated optimization framework, fed by thermal simulations of the L-PBF process. To calculate the residual stresses on classical TO results, we perform thermomechanical analyses based on the inherent strain method to model the manufacturing process. Afterward, those stress-concentrated regions are used to create virtual cracks for the subsequent PD-TO analysis. This approach allows us to embed potential cracks precisely in these high-stress regions, enhancing the efficacy of structural simulations. The methodology is interpreted through two comprehensive case studies: L-beam and Messerschmitt-Bölkow-Blohm (MBB) beam. The optimization process applied to both L-beam and MBB-Beam structures results in notable enhancements in their respective designs. For the L-beam, the optimization process, leads to a redistribution of material in the beam. This adjustment results in a decrease in residual stress by about <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="366_2025_2110_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="31" /> </InlineMediaObject> <EquationSource Format="TEX">\(13\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>13</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation>. For the MBB-Beam, optimization process induces geometric modifications that yield a stress distribution contributing to a reduction in residual stresses by about <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="366_2025_2110_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="31" /> </InlineMediaObject> <EquationSource Format="TEX">\(15\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>15</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> for <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="366_2025_2110_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="61" /> </InlineMediaObject> <EquationSource Format="TEX">\(r_{min}=2\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>r</mi> <mrow> <mi mathvariant="italic">min</mi> </mrow> </msub> <mo>=</mo> <mn>2</mn> </mrow> </math></EquationSource> </InlineEquation>, and <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="366_2025_2110_Article_IEq4.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="23" /> </InlineMediaObject> <EquationSource Format="TEX">\(8\%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>8</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> for <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="366_2025_2110_Article_IEq5.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="61" /> </InlineMediaObject> <EquationSource Format="TEX">\(r_{min}=3\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>r</mi> <mrow> <mi mathvariant="italic">min</mi> </mrow> </msub> <mo>=</mo> <mn>3</mn> </mrow> </math></EquationSource> </InlineEquation>. Thus, in both structures, the optimization process effectively improves stress distribution.</p> Graphical Abstract <p></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

Minimizing thermally induced residual stresses in metal additive manufacturing through peridynamics topology optimization

  • Sina Khalilvandi Behrouzyar,
  • Abdullah Kendibilir,
  • Omer Safa Cavus,
  • Peyman Lahe Motlagh,
  • Soner Oren,
  • Akin Orhangul,
  • Adnan Kefal,
  • Bahattin Koc

摘要

Abstract

Additive manufacturing (AM), characterized by layer-by-layer material addition using computer-aided design, presents an approach to manufacturing complex parts. However, AM processes naturally bring some difficulties such as thermally induced residual stresses, particularly in laser powder bed fusion (L-PBF) processes. This research paper proposes a novel topology optimization (TO) strategy that minimizes the residual stresses on the final product manufactured by metal AM process. In this context, peridynamics topology optimization (PD-TO) is utilized to perform TO within an integrated optimization framework, fed by thermal simulations of the L-PBF process. To calculate the residual stresses on classical TO results, we perform thermomechanical analyses based on the inherent strain method to model the manufacturing process. Afterward, those stress-concentrated regions are used to create virtual cracks for the subsequent PD-TO analysis. This approach allows us to embed potential cracks precisely in these high-stress regions, enhancing the efficacy of structural simulations. The methodology is interpreted through two comprehensive case studies: L-beam and Messerschmitt-Bölkow-Blohm (MBB) beam. The optimization process applied to both L-beam and MBB-Beam structures results in notable enhancements in their respective designs. For the L-beam, the optimization process, leads to a redistribution of material in the beam. This adjustment results in a decrease in residual stress by about \(13\%\) 13 % . For the MBB-Beam, optimization process induces geometric modifications that yield a stress distribution contributing to a reduction in residual stresses by about \(15\%\) 15 % for \(r_{min}=2\) r min = 2 , and \(8\%\) 8 % for \(r_{min}=3\) r min = 3 . Thus, in both structures, the optimization process effectively improves stress distribution.

Graphical Abstract