Instantaneous crankshaft torsional deformation during turbocharged diesel engine operation

Giakoumis, Evangelos G.; Dodoulas, I.A.; Rakopoulos, C.D.

doi:10.1504/ijvd.2010.036128

Cited by 3 publications

(3 citation statements)

References 27 publications

(31 reference statements)

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“…Finally, the modelling inaccuracy is chosen to be introduced in the engine friction rather than in other parts of the engine model, since this part is a very frequent source of errors in dynamic engine modelling. 63 Regarding the first subcategory of healthy engine conditions, the direct model simulation runs are performed by using as input the same in-cylinder pressure for all cylinders. The initial in-cylinder pressure function parameters are determined by performing a best fit of the in-cylinder pressure equation with the measured in-cylinder pressure data at 100% MCR reported in Guerrero and Jime´nez-Espadafor 31 for the case of the reference system.…”

Section: Case Studies Designmentioning

confidence: 99%

A novel method for in-cylinder pressure prediction using the engine instantaneous crankshaft torque

Tsitsilonis

Theotokatos

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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Current practices of condition assessment in large marine engines are largely based on the measurement of cylinder pressure using external kits, which poses challenges due to sensors synchronisation and durability issues, as well as the inability to perform continuous monitoring. For addressing these challenges, this study aims at developing a novel method to solve the inverse problem of predicting the pressure variations in all engine cylinders, by using the Instantaneous Crankshaft Torque (ICT) measurement for large internal combustion engines. This method is developed by considering the Initial Value Problem (IVP) technique along with the integration of a direct crankshaft dynamics model incorporating the sensitivity parameters and stability criteria calculation based on the Lyapunov Exponent (LE) as well as a state-of-the-art Nonmonotone Self-Adaptive Levenberg-Marquardt (NSALMN) optimisation algorithm. The method is tested for a number of case studies using different combustion models based on the Weibe and sigmoid functions, as well as for healthy, degraded and faulty engine conditions. The derived results demonstrate adequate accuracy exhibiting a maximum error of 0.3% in the prediction of the mean peak in-cylinder pressure. The analysis of the calculated sensitivity parameters resulted in the identification of the parameters that significantly impact the solution, thus providing improved insights for selecting the developed method settings. The developed method renders the continuous and non-intrusive in-cylinder pressures monitoring feasible, by using a permanently installed shaft power metre sensor with higher sample rates.

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Section: Case Studies Designmentioning

confidence: 99%

A novel method for in-cylinder pressure prediction using the engine instantaneous crankshaft torque

Tsitsilonis

Theotokatos

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…For the same engine type, reducing the computational time is realised by using a less complex model, which employs a constant inertia-speed approach according to which, the reciprocating pistons variable inertia and the engine shaft instantaneous rotational speed were assumed as constant [11,39]. For heavy duty diesel engines, the engine crankshaft dynamics model was used in its full complexity considering a variable inertia-speed approach [40] along with more sophisticated engine friction submodels [41]. In a recent study [10], a lumped mass model for a two-stroke diesel generator set was employed to predict ICT combines with Fourier series expansion and an iterative optimisation scheme for improving the model prediction accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…3. The effect of engine friction consideration on the ICT prediction still remains uncertain, as in some cases, complex submodels were employed [27,37,41], whereas more simplistic submodels are considered in other studies [23,40].…”

Section: Introductionmentioning

confidence: 99%

Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model

et al. 2020

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The crankshaft dynamics model is of vital importance to a multitude of aspects on engine diagnostics; however, systematic investigations of such models performance (especially for large two-stroke diesel engines that are widely used in the power generation and shipping industries) have not been reported in the literature. This study aims to cover this gap by systematically investigating the parameters that affect the performance of a two-stroke diesel engine crankshaft dynamics model, such as the numerical scheme as well as the engine components inertia and friction. Specifically, the following alternatives are analysed: (a) two optimal performing numerical schemes, in particular, a stiff ordinary differential equations (ODE) solver and a fast solver based on a piecewise Linear Time-Invariant (LTI) scheme method, (b) the linear and the non-linear inertia-speed approaches, and (c) three engine friction submodels of varying complexity. All the potential combinations of the alternatives are investigated, and the crankshaft dynamics model performance is evaluated by employing Key Performance Indicators (KPIs), which consider the results accuracy compared to the measured data, the computational time, and the energy balance error. The results demonstrate that the best performing combination includes the stiff ODE solver, the constant inertia-speed approach and the most simplistic engine friction submodel. However, the LTI numerical scheme is recommended for applications that require fast response due to the significant savings in computational time with an acceptable compromise in the model results accuracy.

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Robust Instant Angle Speed Measurement for Internal Combustion Engines—A Novel Sensing Suite and Methodology

Porumb

Marian

Doğançay

et al. 2022

Sensors

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This paper presents the development and implementation of a novel robust sensing and measurement system that achieves fine granularity and permits new insights into operation of rotational machinery. Instant angle speed measurements offer a wealth of useful information for complex machines in which the motion is the result of multidimensional, internal, and external interactions. The implementation of the proposed system was conducted on an internal combustion engine. The internal combustion engine crankshaft’s angular velocity is the result of the integration of all variables of motor and resisting forces. The crankshaft angular velocity variation also reflects the interaction between the internal thermodynamic cycle of the engine and the plant it powers. To minimise the number of variables, we used for our experiments an aero piston engine for small air-vehicles—a well-made and reliable powerplant—connected to a propeller. This paper presents the need for a better sensing and measurement system. Then, we show the development of the system, the measurement protocol and process, recording and analysis of the data, and results of some experiments. We then demonstrate the possibilities this sensing suite can achieve—a deeper insight into the operation of the machine—by performing high-quality analyses of engine cycles, well beyond capabilities in the state of the art. This system can be generalised for other rotational machines and equipment.

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Instantaneous crankshaft torsional deformation during turbocharged diesel engine operation

Cited by 3 publications

References 27 publications

A novel method for in-cylinder pressure prediction using the engine instantaneous crankshaft torque

A novel method for in-cylinder pressure prediction using the engine instantaneous crankshaft torque

Systematic Investigation of a Large Two-Stroke Engine Crankshaft Dynamics Model

Robust Instant Angle Speed Measurement for Internal Combustion Engines—A Novel Sensing Suite and Methodology

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