Modified Design Improvement Study and Optimization of a intake Manifold to Obtain Unequal Distribution of Velocity for Optimal Diesel Engine Performance

Ashis Acharjee, Prasun Chakraborti, Sushovan Chatterjee

Abstract


Geometrical design of intake manifold has been found very significant for the better performance of an I.C. Engine. It becomes less effective at the intake manifold's runner's outlets due to an uneven flow distribution of the intake air. With an increase in velocity at the distribution channels, the presented study seeks to make this uneven velocity distribution nearly equal without requiring any additional significant changes to the entrance manifold's construction. Standard engine intake manifold elsewhere available is used for experimental testing, to examine the variation of velocity of air flow at outlet of four runners. To change the intake manifold's geometry, a 3-D model of the real manifold is first created using software for designing (PRO-E), and the design model's certification is subsequently completed using the FLUENT commercial CFD program. To get the intended better outcomes, two additional models of the same intake manifold with different design configurations are completed in software then examine the result of these two models with original one to locate out pressure and velocity losses. Following model analysis, it is shown that pressure losses are caused by the depth cuts at the extreme of the plenum, projected stiffeners, and veiled nut extensions. As a result, there is uneven distribution at the runner's outlets. By restructuring the intake manifold's plenum and releasing it from undesired hidden projection inside the plenum, the inlet manifold can achieve virtually similar velocities in all four runners. The findings indicate a virtually equal distribution in all four runners, with outlet 1 seeing a 14% increase in air flow velocity and the other three runners of the input manifold experiencing approximate 5% to 7% increases.


Keywords


Intake manifold, runners outlet velocity and efficiency, CFD, Pro-E, genetic algotithm

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References


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DOI: https://doi.org/10.37628/ijicegt.v9i1.1578

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