Exhaust manifold design for a car engine based on engine cycle simulation

Masahiro Kanazaki, Masashi Morikawa, Shigeru Obayashi, Kazuhiro Nakahashi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


Multiobjective design optimization system of exhaust manifold shapes for a car engine has been developed using Divided Range Multiobjective Genetic Algorithm (DRMOGA) to obtain more engine power as well as to achieve less environmental impact. The three-dimensional manifold shapes are evaluated by the unstructured, unsteady Euler code coupled with the empirical engine cycle simulation code. This automated design system using DRMOGA was confirmed to find Pareto solutions for the highly nonlinear problems.

Original languageEnglish
Title of host publicationParallel Computational Fluid Dynamics 2002
Subtitle of host publicationNew Frontiers and Multi-Disciplinary Applications
PublisherElsevier Inc.
Number of pages8
ISBN (Electronic)9780080538426
ISBN (Print)9780444506801
Publication statusPublished - 2003 Apr 25


  • Empirical engine cycle simulation
  • Intake/exhaust system
  • Unsteady flow

ASJC Scopus subject areas

  • Mathematics(all)


Dive into the research topics of 'Exhaust manifold design for a car engine based on engine cycle simulation'. Together they form a unique fingerprint.

Cite this