Optimization of Gasoline Engine Flywheel using Alternate Materials for Improving Performance Characteristics

Gupta, Savita; Kothari, Karan; Mishra, Jay P.; Ashok, B.

doi:10.17485/ijst/2015/v8i1/72443

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then a mathematical model was created that best fits to the data which collected from experimental flywheel burst test results. According to full factorial design with four level and two parameters as shown in figure 4, 2 4 = 16 finite element analyses were executed for define a surface that approximates the behaviour of the objective function. According to design of experiment results, objective function was constructed as second degree polynomial.…”

Section: Data Fittingmentioning

confidence: 99%

Stress Behaviour Improvement of Automobile Flywheel Under High Centrifugal Forces

Imer¹,

Kartal²,

Genç³

2017

World Congress on Mechanical, Chemical, and Material Engineering

View full text Add to dashboard Cite

-Clutch components rotating at high speed remain under the influence of high centrifugal forces. Therefore at the high rotational speed flywheel is subjected to extreme forces that may cause severe cracks and breakages. During driving condition vehicle can be used in different engine RPM. Burst test validates the mechanical robustness of the flywheel under various rotational speeds. In this study finite element analysis has been used for calculating stress values of flywheel. In order to simulate burst test, finite element method can be used that provides estimation instead of prototypes production which causes time and money consumption. Additionally design of experiment method has been used for obtaining the response surface that approximates the stress behaviour of automobile flywheel. Data fitting method was applied to determine objective function. Two shape parameters have been selected for observing change of stress value. It provides strong correlation between fea results and data fittings calculation that gives extra contribution to reduce the design process.

show abstract

Section: Data Fittingmentioning

confidence: 99%