Arc Shape of High-Intensity Discharge Lamps: Simulation and Experiments

Schwieger, J.; Baumann, Bernd; Wolff, Marcus

doi:10.1007/s10765-014-1803-1

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…In the experiments it is set to a constant value that is just high enough to stimulate arc flicker. A more detailed description of the experimental setup can be found elsewhere [16]. Before the measurements the lamp is operated at stable conditions (α = 0) for at least 20 minutes to reach a stationary state.…”

Section: Methodsmentioning

confidence: 99%

“…Figure 4 shows the results of the experimental voltage measurements over the excitation frequency. The frequency deviation between the experimental and the simulation result of 4 kHz is related to the simplified geometry and uncertainties in the material properties [16,19]. Additionally, some boundary conditions, e.g.…”

Section: Voltage Dropmentioning

confidence: 99%

“…To compare the temperature field of the simulation with experimental results, the light intensity distribution was recorded by a camera [16]. The left part of figure 6 shows the intensity distribution at stable operation conditions.…”

Section: Temperature and Velocity Fieldmentioning

confidence: 99%

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Backcoupling of acoustic streaming on the temperature field inside high-intensity discharge lamps

Schwieger

Baumann

Wolff

et al. 2015

J. Phys.: Conf. Ser.

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Operating high-intensity discharge lamps in the high frequency range (20−300 kHz) provides energy-saving and cost reduction potentials. However, commercially available lamp drivers do not make use of this operating strategy because light intensity fluctuations and even lamp destruction are possible. The reason for the fluctuating discharge arc are acoustic resonances in this frequency range that are excited in the arc tube. The acoustic resonances in turn generate a fluid flow that is caused by the acoustic streaming effect. Here, we present a 3D multiphysics model to determine the influence of acoustic streaming on the temperature field in the vicinity of an acoustic eigenfrequency. In that case a transition from stable to instable behavior occurs. The model is able to predict when light flicker can be expected. The results are in very good accordance with accompanying experiments.

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Section: Methodsmentioning

confidence: 99%

Section: Voltage Dropmentioning

confidence: 99%