A New Methodology for Calculating and Modelling Non-Linear Springs in the Valve Train of Internal Combustion Engines

2011 ◽  
Author(s):  
Gaetano Sequenzia ◽  
Salvatore Oliveri ◽  
Michele Calabretta ◽  
Gabriele Fatuzzo ◽  
Michele Cali
Keyword(s):  
Internal Combustion Engines ◽  
Internal Combustion ◽  
Valve Train ◽  
Combustion Engines ◽  
Non Linear

Improving the tribological behavior of internal combustion engines via the addition of nanoparticles to engine oils

2015 ◽  
Vol 4 (4) ◽  
Author(s):  
Mohamed Kamal Ahmed Ali ◽  
Hou Xianjun
Keyword(s):  
Internal Combustion Engines ◽  
Tribological Behavior ◽  
Internal Combustion ◽  
Valve Train ◽  
Combustion Engines ◽  
Power Losses ◽  
Oil Consumption ◽  
Engine Oils ◽  
Engine Efficiency ◽  
Sliding Surfaces

AbstractThe friction between two sliding surfaces is probably one of the oldest problems in mechanics. Frictional losses in any I.C. engine vary between 17% and 19% of the total indicated horse power. The performance of internal combustion engines in terms of frictional power loss, fuel consumption, oil consumption, and harmful exhaust emissions is closely related to the friction force and wear between moving parts of the engine such as piston assembly, valve train, and bearings. To solve this problem, most modern research in the area of Nanotribology (Nanolubricants) aims to improve surface properties, reduce frictional power losses, increase engine efficiency, and reduce consumed fuel and cost of maintenance. Nanolubricants contain different nanoparticles such as Cu, CuO, TiO

Nonlinear Transient Response of a High Speed Driven Valve System and Stresses in Valve Springs for Internal Combustion Engines

1989 ◽  
Vol 111 (3) ◽  
pp. 264-271 ◽  
Author(s):  
K. Nagaya
Keyword(s):  
High Speed ◽  
Internal Combustion Engines ◽  
Three Dimensional ◽  
Beam Theory ◽  
Internal Combustion ◽  
Valve Train ◽  
Combination Method ◽  
Combustion Engines ◽  
Valve System ◽  
Cam Profile

This paper presents a method for solving the dynamic response problems of a driven valve system and the stress problem of valve springs for internal combustion engines. In this system there is hysteresis behavior in the spring constants during the rotation of the cam shaft. To treat this nonlinearity, the rigidity of each section is assumed to be one of a partly linear spring. For the valve trains, the cam profile is complex in general. To treat a general cam profile, this paper applies a combination method of the Fourier expansion, the Laplace transform and the analytical connection methods, and gives a response of valve trains. This paper also presents a theoretical result for the stresses in the valve spring due to the motion of the valve train based on the three dimensional curved beam theory.

Fault diagnosis in internal combustion engines using non-linear multivariate statistics

2005 ◽  
Vol 219 (4) ◽  
pp. 243-258 ◽  
Author(s):  
D Antory ◽  
U Kruger ◽  
G Irwin ◽  
G McCullough
Keyword(s):  
Fault Diagnosis ◽  
Internal Combustion Engines ◽  
Principal Component ◽  
Reconstruction Algorithm ◽  
Internal Combustion ◽  
Fault Isolation ◽  
Operating Conditions ◽  
Combustion Engines ◽  
Sensor Fault ◽  
Non Linear

This paper presents a statistical-based fault diagnosis scheme for application to internal combustion engines. The scheme relies on an identified model that describes the relationships between a set of recorded engine variables using principal component analysis (PCA). Since combustion cycles are complex in nature and produce non-linear relationships between the recorded engine variables, the paper proposes the use of non-linear PCA (NLPCA). The paper further justifies the use of NLPCA by comparing the model accuracy of the NLPCA model with that of a linear PCA model. A new non-linear variable reconstruction algorithm and bivariate scatter plots are proposed for fault isolation, following the application of NLPCA. The proposed technique allows the diagnosis of different fault types under steady state operating conditions. More precisely, non-linear variable reconstruction can remove the fault signature from the recorded engine data, which allows the identification and isolation of the root cause of abnormal engine behaviour. The paper shows that this can lead to (a) an enhanced identification of potential root causes of abnormal events and (b) the masking of faulty sensor readings. The effectiveness of the enhanced NLPCA-based monitoring scheme is illustrated by its application to a sensor fault and a process fault. The sensor fault relates to a drift in the fuel flow reading, while the process fault relates to a partial blockage of the intercooler. These faults are introduced to a Volkswagen TDI 1.9 litre diesel engine mounted on an experimental engine test bench facility.

scholarly journals Studies on the dynamics the valve train with machined valve springs

2017 ◽  
Vol 168 (1) ◽  
pp. 100-109
Author(s):  
Krystian SICZEK ◽  
Krzysztof SICZEK
Keyword(s):  
Internal Combustion Engine ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Numerical Models ◽  
Internal Combustion ◽  
Valve Train ◽  
Combustion Engines ◽  
Dynamic Parameters ◽  
The Finite Element Method ◽  
Mathematical Relationships

An analysis of the literature for currently used solutions of valve trains in internal combustion engines and analytical studies on the dynamics the valve train of the internal combustion engine provided with machined valve springs were carried out. The aim of the study was to compare the dynamic parameters of the two valve trains for the established internal combustion engine: the first one equipped with machined springs and the second one with coil springs. The numerical models for investigated valve trains, using the Finite Element Method and additional mathematical relationships were developed and presented in the article. The article describes the results of the researches and formulated conclusions.

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