Thermal Structural Optimization of IC Engine Piston

Author(s):  
Yousif Badri ◽  
Ahmed Shamseldin ◽  
Jamil Renno ◽  
Sadok Sassi
Author(s):  
W. W. F. Chong ◽  
M. Teodorescu ◽  
N. D. Vaughan

The current paper investigates the correlation between oil film formation, cavitation and starvation during inlet reversal of an Internal Combustion (IC) engine piston-ring conjunction. Piston ring lubrication is critical in the vicinity of Top Dead Center (TDC) and Bottom Dead Center (BDC) where low entrainment velocity leads to very thin films. The current study predicts that cavities formed at the trailing edge of the contact before the entrainment reversal briefly survive at the leading edge after the reversal. This contributes to contact starvation and thinner films than previously thought.


2018 ◽  
Vol 141 (3) ◽  
Author(s):  
Vikram Kumar ◽  
Sujeet Kumar Sinha ◽  
Avinash Kumar Agarwal

The main objective of this investigation is the evaluation of the performance of hard diamond-like-carbon (DLC) or tungsten carbide (WC) and soft (epoxy composite) dual-coatings on the internal combustion (IC) engine piston rings as a protective coating to reduce their wear. The rings were coated with DLC or WC by physical vapor deposition (PVD) method and then soft polymeric composite coating (epoxy/graphene/base oil SN150) was applied on the hard coating. The tribological tests of the dual-coated piston rings were conducted for 3.6 × 105 cycles at 1500 rpm engine speed and 50% rated load of a diesel engine in order to evaluate the wear performance of the piston rings. Scuffing of cylinder liner and piston rings interface was prevented by the application of polymer composites over the hard-coated rings. DLC hard and soft polymer composite dual coating over the top piston ring was found to have the lowest wear rate 1.69 × 10−12 mm3/N·m compared with the wear rate of dual coatings on the middle and lower rings.


Piston is the essential part of an IC engine and due to increase in manufacturing of automobiles of various types based on performance and power, the piston of an IC engine is under significant stress which causes wear of the piston. Piston is under mechanical and thermal loads due to combustion of the fuel and generation of high pressure gases. To reduce the damage incurred on an IC piston by the combustion of fuel the crown geometry of the piston can be modified. This reduces the wear incurred on an IC engine piston and increases the life of the IC engine piston. To understand the impact of mechanical loads on the piston static structural analysis has to be performed and to understand the impact of thermal loads, thermal analysis has to be performed. In this paper we have modeled three dimensional pistons with four different crown geometries using CATIA and performed static structural and thermal analysis in ANSYS to find total deformation, equivalent (von-misses) stress, maximum shear stress, temperature and heat flux. So we can find the best crown geometry for the manufacturing of IC engine piston.


2020 ◽  
Vol 3 (1) ◽  
pp. 05-10
Author(s):  
S. Sathishkumar ◽  
Dr.M. Kannan

As we are known numerous reciprocating parts is contained in IC Engine which are responsible for giving the motion. The abnormal piston working is given poor performance in comparison of other parts. The main intention of this research is to investigate and analyse the stress distribution of automobile piston at definite engine Condition. In this paper pressure (Mechanical), thermal (Heat) and thermo-mechanical analysis is accomplished by help of CAE Tool. The constraint used for the analysis is pressure of operating gas, temperature and material properties of piston. In this research piston are designed for a single cylinder four stroke petrol engine using CATIA V5R20 and analysis is performed by ANSYS 14. Two different material are induced in this investigation. First one is Aluminium alloy and second is Cast Iron. In this end of the Results are shown and a comparison is made to find the most suited material for splendour automobile vehicle piston by various CAE analyses.


2018 ◽  
Vol 5 (1) ◽  
pp. 2773-2780 ◽  
Author(s):  
M.B. Nandakumar ◽  
K.G. Sudhakar ◽  
Harshad Natu ◽  
G.B. Jagadish

2019 ◽  
Vol 6 (10) ◽  
pp. 12-19
Author(s):  
Prashant Kumar ◽  
Abhishek Bhandari ◽  
Sunil Kumar Chaturvedi

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