<p>An endoreversible isothermal-heating modified (IHM) Miller-cycle model is established firstly herein. Expressions for thermal efficiency, power, power density (<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(P_{{\text{d}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>P</mi> <mtext>d</mtext> </msub> </math></EquationSource> </InlineEquation>) and ecological function (<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(E\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>E</mi> </math></EquationSource> </InlineEquation>) are derived. Influences of pre-expansion ratio, maximum temperature-ratio and modified Miller-cycle ratio (<InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq3.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(\gamma_{{\text{M}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>γ</mi> <mtext>M</mtext> </msub> </math></EquationSource> </InlineEquation>) on cycle performance are analyzed. Secondly, performances of IHM Miller-cycle and traditional Miller-cycle are compared. Compared with traditional Miller-cycle, <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(P_{{\text{d}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>P</mi> <mtext>d</mtext> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(E\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>E</mi> </math></EquationSource> </InlineEquation>, thermal efficiency and power of IHM Miller-cycle increase by 12.94%, 3.52%, 19.37% and 14.18%, respectively under the same parameters. The IHM for Miller-cycle is meaningful. Thirdly, multi-objective optimizations (MOOs) are conducted. Compression-ratio is taken as optimization variable, and <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(P_{{\text{d}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>P</mi> <mtext>d</mtext> </msub> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(E\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>E</mi> </math></EquationSource> </InlineEquation>, power and efficiency are taken as optimization objectives, NSGA-II algorithm is applied to optimize different combinations of multi-objective and single-objective, and deviation index is used to compare optimization results of three decision-making methods to find the best solution. Totally fifteen combinations, including one four-objective, four tri-objective, six bi-objective and four single-objective optimizations, are performed. Results show that, when pre-expansion ratio, maximum temperature-ratio and <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq3.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(\gamma_{{\text{M}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>γ</mi> <mtext>M</mtext> </msub> </math></EquationSource> </InlineEquation> increase, <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(P_{{\text{d}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>P</mi> <mtext>d</mtext> </msub> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10973_2025_14506_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(E\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>E</mi> </math></EquationSource> </InlineEquation> are improved. Optimal compression-ratio of MOO is between 8.9 and 20.4, mainly between 8.9 and 13.5. The most important innovation herein is establishing IHM Miller-cycle model and completing performance analyses and MOOs. The results can provide guidelines for designing actual engines.</p>

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Isothermal-heating modified Miller-cycle model and its performance multi-objective optimizations with four objectives

  • Jun Zhao,
  • Yanlin Ge,
  • Lingen Chen,
  • Huijun Feng

摘要

An endoreversible isothermal-heating modified (IHM) Miller-cycle model is established firstly herein. Expressions for thermal efficiency, power, power density ( \(P_{{\text{d}}}\) P d ) and ecological function ( \(E\) E ) are derived. Influences of pre-expansion ratio, maximum temperature-ratio and modified Miller-cycle ratio ( \(\gamma_{{\text{M}}}\) γ M ) on cycle performance are analyzed. Secondly, performances of IHM Miller-cycle and traditional Miller-cycle are compared. Compared with traditional Miller-cycle, \(P_{{\text{d}}}\) P d , \(E\) E , thermal efficiency and power of IHM Miller-cycle increase by 12.94%, 3.52%, 19.37% and 14.18%, respectively under the same parameters. The IHM for Miller-cycle is meaningful. Thirdly, multi-objective optimizations (MOOs) are conducted. Compression-ratio is taken as optimization variable, and \(P_{{\text{d}}}\) P d , \(E\) E , power and efficiency are taken as optimization objectives, NSGA-II algorithm is applied to optimize different combinations of multi-objective and single-objective, and deviation index is used to compare optimization results of three decision-making methods to find the best solution. Totally fifteen combinations, including one four-objective, four tri-objective, six bi-objective and four single-objective optimizations, are performed. Results show that, when pre-expansion ratio, maximum temperature-ratio and \(\gamma_{{\text{M}}}\) γ M increase, \(P_{{\text{d}}}\) P d and \(E\) E are improved. Optimal compression-ratio of MOO is between 8.9 and 20.4, mainly between 8.9 and 13.5. The most important innovation herein is establishing IHM Miller-cycle model and completing performance analyses and MOOs. The results can provide guidelines for designing actual engines.