Computational Optimization of Internal Combustion Engines by Yu Shi

By Yu Shi

Computational Optimization of inner Combustion Engines provides the cutting-edge of computational types and optimization equipment for inner combustion engine improvement utilizing multi-dimensional computational fluid dynamics (CFD) instruments and genetic algorithms.

Strategies to lessen computational price and mesh dependency are mentioned, in addition to regression research equipment. numerous case reports are awarded in a piece dedicated to functions, together with exams of:

  • spark-ignition engines,
  • dual-fuel engines,
  • heavy accountability and lightweight accountability diesel engines.

Through regression research, optimization effects are used to give an explanation for complicated interactions among engine layout parameters, comparable to nozzle layout, injection timing, swirl, exhaust fuel recirculation, bore dimension, and piston bowl shape.

Computational Optimization of inner Combustion Engines demonstrates that the present multi-dimensional CFD instruments are mature sufficient for sensible improvement of inner combustion engines. it's written for researchers and architects in mechanical engineering and the automobile industry.

Show description

Read Online or Download Computational Optimization of Internal Combustion Engines PDF

Best automotive books

Raumfahrtsysteme. Eine Einführung mit Übungen und Lösungen

Dieses umfassende Lehrbuch deckt inhaltlich und didaktisch (? bungsaufgaben) die mattress? rfnisse von Studenten der Luft- und Raumfahrtstudieng? nge ab. Aber auch der Raumfahrt-Ingenieur in Forschung und Praxis bekommt damit einen ? berblick und rasch abrufbare details ? ber sein Fachgebiet. Wenn auch nicht g?

Diesel Engine Transient Operation: Principles of Operation and Simulation Analysis

Frequently, the research of inner combustion engines has interested in the steady-state functionality. in spite of the fact that, the day-by-day using agenda of automobile and truck engines is inherently with regards to unsteady operation, while the main severe stipulations encountered by means of business or marine engines are met in the course of transients.

Vehicle Power Management: Modeling, Control and Optimization

Motor vehicle strength administration addresses the problem of enhancing motor vehicle gasoline economic system and lowering emissions with out sacrificing car functionality, reliability and sturdiness. It opens with the definition, goals, and present study problems with automobile energy administration, prior to relocating directly to an in depth advent to the modeling of car units and parts interested by the motor vehicle energy administration process, which has been confirmed to be the main comparatively cheap and effective approach for initial-phase automobile study and layout.

Advanced Technologies for Intelligent Transportation Systems

This publication specializes in rising applied sciences within the box of clever Transportation platforms (ITSs) specifically effective details dissemination among autos, infrastructures, pedestrians and public transportation platforms. It covers the state of the art of Vehicular Ad-hoc Networks (VANETs), with centralized and decentralized (Peer-to-Peer) conversation architectures, contemplating numerous software situations.

Additional resources for Computational Optimization of Internal Combustion Engines

Sample text

It takes the dispersed phase as a continuous fluid and introduces several continuous scalar fields to represent the dispersed phase. 2 Engine Modeling with Computational Fluid Dynamics 31 both phases. Therefore, the dispersed phase is modeled at the macroscopic level with this approach. This method leads to significant difficulties in modeling complex phenomena such as droplet breakup, droplet interaction, and droplet evaporation, which are essential in IC engine applications. It is also very difficult to establish the representation of the turbulent stresses and transport in the liquid phase.

The first step was to seek for optimal solutions of fuel mass injected and ignition timing for maximum work output. The subsequent step was to further optimize the injection timing of the optimal solutions obtained in the first step to minimize HC emissions. The two separated procedures ensure the effectiveness and efficiency of the SQP method in the engine design problem. Also, that fact that minimization of HC emissions is usually highly correlated with maximization of engine work, reduces the searching load of the optimization method for multi-objective functions, so that the use of SQP method was successful in this study.

In principle, single-objective genetic algorithms can also be used to study multi-objective problems, because any number of objective functions can be grouped into a single merit function. 1 Optimization Algorithms 21 Fig. 7 Function value of the multiple peaks problem using micro-GA single merit function usually lead to different performance of SOGAs. Unfortunately, in most cases, such definition is unknown prior to completely solving the optimization problem. We again resort to a mathematical model to examine this, which forms the third problem with two objective functions (Deb 2001).

Download PDF sample

Rated 4.11 of 5 – based on 44 votes