Optimised intake stroke analysis for flat and dome head pistons

Abstract

This research exerts are suitable for the automobile industry in understanding the performance characteristics optioned between flat head and dome head pistons in engine design. This study was carried out to analyze the optimization parameters for effective and efficient flow characteristics of air-fuel mixture at the intake port of the combustion chamber of an internal combustion engine. A unique and industrial standard CFD software, STAR-CCM V8, was used to model both geometry for flat head and dome head pistons which was developed with precise dimensions of a 1.8L gasoline engine. A planar 3-D model approach was adopted for simplified static CAD modeling and also to reduce the solver processing time. The piston models were meshed using tetrahedral mesh of base size 0.001m. The boundary and physics conditions were applied to simulate the actual intake stroke process for normal operating conditions and initial conditions. The extracted results were validate and comparisons developed to analyze the various optimization parameters for performance characteristics of the two pistons. Keywords: optimized intake stroke, CFD analysis, flat and dome head pistons, internal combustion engine, CAD modelling NOMENCLATURE = density ⃑⃑ = uniform velocity = dynamic viscosity = pressure gradient F = external fluid force. 1. INTRODUCTION Advancement in internal combustion engine design has taking new dimensions in optimization methods of improving engine performance. Over the years simulation of optimization characteristics has followed dynamic changes in conducting laboratory experiments. In recent times Computational Fluid Dynamics (CFD) analysis has been the fore front of advanced research techniques in determining air-fuel flow profile suitable for internal combustion engines. This involves the use of computer algorithms to model and simulate flow characteristics which literarily predict the occurrences in the combustion chamber that are normally difficult to witness in operation. CFD optimization methods are designed for aerodynamics problems and computing this experimentally normally takes several hours or even days to derive results. Computational time could be