Cylinder pressure resonant frequency cyclic estimation-based knock intensity metric in combustion engines

Shen, Xun; Zhang, Yahui; Shen, Tielong

doi:10.1016/j.applthermaleng.2019.113756

Cited by 23 publications

(11 citation statements)

References 34 publications

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“…31 The first resonance frequency mode (1,0), contains most of the oscillating pressure energy, 32 and is damped in a slower way due to the more intense attenuation of higher frequency modes. 33 The integration of the pressure oscillation energy over the entire frequency domain of 5–15 kHz would be sufficient for analyzing such mode. However, the integration in the frequency domain at each crank angle position after processing a STFT has a disadvantages in real-time knock recognition applications as the computation burden of the integration calculation might be too heavy.…”

Section: Resonance Characterizationmentioning

confidence: 99%

Acoustic characterization of combustion chambers in reciprocating engines: An application for low knocking cycles recognition

Novella

Plá

Bares

et al. 2020

International Journal of Engine Research

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In this paper the acoustic response of a combustion chamber is studied by assuming different pressure field excitation. The viscous effects on the combustion chamber and the finite impedance of the walls have been modeled with a first order system, which damps the resonance oscillation created by combustion. The characterization of the acoustic response of the combustion chamber has been used to identify the source of the excitation in order to distinguish normal combustion from knock. Two engines, a conventional spark ignited (SI) and a turbulent jet ignition (TJI) engine, were used, fueled with gasoline and compressed natural gas (CNG), respectively. The pressure fluctuations in the combustion chambers are analyzed and a pattern recognition system identifies the most likely source of excitation. This new criteria for knock identification permits a more consistent differentiation between knocking and no-knocking cycles, independent on the amplitude of the phenomenon, thus allowing the improvement for knock control algorithms, specially with combustion modes which heavily excite resonance, such as turbulent jet ignition or homogeneous charge compression ignition (HCCI).

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Section: Resonance Characterizationmentioning

confidence: 99%

Acoustic characterization of combustion chambers in reciprocating engines: An application for low knocking cycles recognition

Novella

Plá

Bares

et al. 2020

International Journal of Engine Research

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“…Jika sebuah benda berputar pada putaran kritisnya, maka akan terjadi resonansi atau dengan kata lain resonansi dapat terjadi jika frekuensi putaran sama dengan salah satu frekuensi pribadi benda tersebut [12]. Resonansi akan meningkatkan getaran mesin [13]. Getaran yang berlebih pada mesin bisa menyebabkan kerusakan dan efek yang merugikan pada struktur pondasi sebagai penopang [14].…”

Section: T =Periode Getaran (Sekon)unclassified

Perbandingan Eksperimental dan Simulasi Frekuensi Pribadi pada Struktur Spindel CNC

Hoten

Nurbaiti

Mainil

et al. 2020

JRM

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The Research was about the comparison between experiment and simulation of natural frequency in CNC spindle. CNC spindle vibration will reduce machine tool performance. It could lead to the damage of the machine tool. The spindle structure unbalances of machine tools will cause vibration when it is operated. In the CNC machine, the spindle shaft vibration should be minimum. Based on this point, the natural frequency testing on the spindle shaft structure was carried out. The experiments were conducted by employing oscilloscope which could provide the vibration data in the time domain. The data was converted into the frequency domain using FFT. Measurements were carried out on 7 times of testing. Every one time of testing, 10 data were taken at each testing points. The tests were conducted at 10 testing points. Therefore, the total data obtained were 700 test data. The test results were then compared with the results of simulation modeling in 10 vibrate modes using Solidwork software. After testing and simulations were compared, 4 personal frequency values were obtained in the test that uses a measuring instrument and 6 personal frequency values could not be read. These were because the accelerometer used could not read up to 0 Hz frequency. Natural frequency obtained from simulations and tests were expressed in the percentage of errors. The largest error value in the 9th vibration mode measurement with a natural frequency was 2117.96 Hz with an error of 0.32%. The smallest error value was 0.11% with a natural frequency of 2995.79 Hz.

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“…Since the knock detection is more reliable using an in-cylinder pressure sensor, most authors have used the knock sensor as the only source to identify it [14]. Those investigations focused on extracting metrics for knock detection based on in-cylinder pressure sensors [26]. Time-frequency has also been utilized to develop new metrics of knock detection, providing a binary output after analysis [27].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Knock Characterization Using Adaptive Filters and Power Estimators

et al. 2020

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We combined adaptive filters associated with power estimators to characterize the knock signal, obtained from a knock sensor, in an internal combustion engine. The filters were implemented using the automotive model-based design methodology, and the resulting software was embedded into hardware for a real-time evaluation of the proposed solution. The knock signals could be qualitatively identified in real-time, and thus have the potential to aid in the management of flexible-fuel engines. This approach has an extensive range of applications within the automotive industry, since it can be implemented within any model-based control strategy. For example, this methodology can be applied in commercial ECUs, currently used in most vehicles for knock detection, by simply eliminating an internal, dedicated, integrated circuit for knock identification, or by serving as a redundancy device (i.e: for safety purposes). Finally, this methodology can identify the knock signal, obtained from a knock sensor, just by using an algorithm implemented in the ECU's processor, which we show is identifiable in real-time.

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Cylinder pressure resonant frequency cyclic estimation-based knock intensity metric in combustion engines

Cited by 23 publications

References 34 publications

Acoustic characterization of combustion chambers in reciprocating engines: An application for low knocking cycles recognition

Acoustic characterization of combustion chambers in reciprocating engines: An application for low knocking cycles recognition

Perbandingan Eksperimental dan Simulasi Frekuensi Pribadi pada Struktur Spindel CNC

Real-Time Knock Characterization Using Adaptive Filters and Power Estimators

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