The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Jan Åslund - One of the best experts on this subject based on the ideXlab platform.
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Compression Ratio estimation based on cylinder pressure data
Control Engineering Practice, 2004Co-Authors: Marcus Klein, Lars Eriksson, Jan ÅslundAbstract:Four methods for Compression Ratio estimation based on cylinder pressure traces are developed and evaluated for both simulated and experimental cycles. The first three methods rely upon a model of polytropic Compression for the cylinder pressure. It is shown that they give a good estimate of the Compression Ratio at low Compression Ratios, although the estimates are biased. A method based on a variable projection algorithm with a logarithmic norm of the cylinder pressure yields the smallest confidence intervals and shortest computational time for these three methods. This method is recommended when computational time is an important issue. The polytropic pressure model lacks information about heat transfer and therefore the estimation bias increases with the Compression Ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This method is able to estimate the Compression Ratio more accurately in terms of bias and variance. The method is more computationally demanding and is therefore recommended when estimation accuracy is the most important property.
Marcus Klein - One of the best experts on this subject based on the ideXlab platform.
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UTILIZING CYLINDER PRESSURE DATA FOR Compression Ratio ESTIMATION
IFAC Proceedings Volumes, 2016Co-Authors: Marcus Klein, Lars ErikssonAbstract:Four methods for Compression Ratio estimation based on cylinder pressure traces are developed and evaluated for simulated and experimental cycles. Three methods rely upon a model of polytropic Compression for the cylinder pressure. It is shown that they give good estimates with a small bias at low Compression Ratios. A variable projection algorithm with a logarithmic norm of the cylinder pressure yields the smallest confidence intervals and shortest computational time for th ese three methods. This method is recommended when computational time is an important issue. The polytropic pressure model lacks information about heat transfer and therefore the estimation bias increases with Compression Ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This met hod estimates the Compression Ratio more accurately in terms of bias and variance. The method is more computationally demanding and thus recommended when estimation accuracy is the most important property. In order to estimate the Compression Ratio as accurately as possible, motored cycles with high initial pressure should be used. Copyright c ° 2005 IFAC
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Compression Ratio estimation based on cylinder pressure data
Control Engineering Practice, 2004Co-Authors: Marcus Klein, Lars Eriksson, Jan ÅslundAbstract:Four methods for Compression Ratio estimation based on cylinder pressure traces are developed and evaluated for both simulated and experimental cycles. The first three methods rely upon a model of polytropic Compression for the cylinder pressure. It is shown that they give a good estimate of the Compression Ratio at low Compression Ratios, although the estimates are biased. A method based on a variable projection algorithm with a logarithmic norm of the cylinder pressure yields the smallest confidence intervals and shortest computational time for these three methods. This method is recommended when computational time is an important issue. The polytropic pressure model lacks information about heat transfer and therefore the estimation bias increases with the Compression Ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This method is able to estimate the Compression Ratio more accurately in terms of bias and variance. The method is more computationally demanding and is therefore recommended when estimation accuracy is the most important property.
Winai Chanpeng - One of the best experts on this subject based on the ideXlab platform.
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Modified Compression Ratio Effect on Brake Power of Single Piston Gasoline Engine Utilizing Producer Gas
Energy Procedia, 2016Co-Authors: Phairoach Chunkaew, Yutana Sriudom, Warakorn Jainoy, Jakkrit Sisa, Komphet Chuenprueng, Winai ChanpengAbstract:Abstract An objective of this research is to test the brake power of Honda Model GX-120-four strokes-spark ignited engine. The producer gas was made from dry wood by the gasification process. The producer gas was used as a fuel for the engine. To study the effect of Compression Ratio and percentage of opened air inlet valve on break power, the Compression Ratio of 7.5:1 and 9.3:1 and percentage of opened air inlet valve of 30% and 75% were used. It was found that the brake power of Compression Ratio at 9.3:1 with 75% of opened air inlet valve was 1,443.6 Watts at 3,800 rpm showed the highest break engine power because the high Compression Ratio was high, and the brake power was also high as the basic theory of an ideal Otto cycle.
Lars Eriksson - One of the best experts on this subject based on the ideXlab platform.
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UTILIZING CYLINDER PRESSURE DATA FOR Compression Ratio ESTIMATION
IFAC Proceedings Volumes, 2016Co-Authors: Marcus Klein, Lars ErikssonAbstract:Four methods for Compression Ratio estimation based on cylinder pressure traces are developed and evaluated for simulated and experimental cycles. Three methods rely upon a model of polytropic Compression for the cylinder pressure. It is shown that they give good estimates with a small bias at low Compression Ratios. A variable projection algorithm with a logarithmic norm of the cylinder pressure yields the smallest confidence intervals and shortest computational time for th ese three methods. This method is recommended when computational time is an important issue. The polytropic pressure model lacks information about heat transfer and therefore the estimation bias increases with Compression Ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This met hod estimates the Compression Ratio more accurately in terms of bias and variance. The method is more computationally demanding and thus recommended when estimation accuracy is the most important property. In order to estimate the Compression Ratio as accurately as possible, motored cycles with high initial pressure should be used. Copyright c ° 2005 IFAC
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Compression Ratio estimation based on cylinder pressure data
Control Engineering Practice, 2004Co-Authors: Marcus Klein, Lars Eriksson, Jan ÅslundAbstract:Four methods for Compression Ratio estimation based on cylinder pressure traces are developed and evaluated for both simulated and experimental cycles. The first three methods rely upon a model of polytropic Compression for the cylinder pressure. It is shown that they give a good estimate of the Compression Ratio at low Compression Ratios, although the estimates are biased. A method based on a variable projection algorithm with a logarithmic norm of the cylinder pressure yields the smallest confidence intervals and shortest computational time for these three methods. This method is recommended when computational time is an important issue. The polytropic pressure model lacks information about heat transfer and therefore the estimation bias increases with the Compression Ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This method is able to estimate the Compression Ratio more accurately in terms of bias and variance. The method is more computationally demanding and is therefore recommended when estimation accuracy is the most important property.
B Nagalingam - One of the best experts on this subject based on the ideXlab platform.
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effect of Compression Ratio on the performance and combustion of a biogas fuelled spark ignition engine
Fuel, 2012Co-Authors: E Porpatham, A Ramesh, B NagalingamAbstract:A single cylinder diesel engine was modified to operate as a biogas operated spark ignition engine. The engine was operated at 1500 rpm at throttle opening of 25% and 100% at various equivalence Ratios. The tests were covered a range of equivalence Ratios from rich to the lean operating limit and a number of Compression Ratios. The spark timing was set to MBT (Minimum advance for Best Torque). The performance, emission and combustion characteristics with different Compression Ratios are compared. It has been found from the results that the higher the Compression Ratio, the higher the brake thermal efficiency. When the Compression Ratio was above a critical value of 13:1, brake power and thermal efficiency increased little. At higher Compression Ratios above 13:1, increased NOx, HC, and CO emissions were measured. Power and thermal efficiency reached their highest values with the Compression Ratio between 13:1 and 15:1 and the equivalence Ratio between 1.08 and 0.95. Under these conditions, HC and CO emissions were low but the NOx values were high. Power and thermal efficiency reduced for leaner mixtures. The MBT spark timing is retarded with increase in Compression Ratio. The peak pressure decreases, as the mixture becomes lean at all the Compression Ratios. The peak pressure is higher with higher Compression Ratio. Increase in Compression Ratio leads to high heat release rate.
