2008
DOI: 10.1016/j.ijheatmasstransfer.2007.04.034
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Thermal fatigue on pistons induced by shaped high power laser. Part II: Design of spatial intensity distribution via numerical simulation

Abstract: In the laser induced thermal fatigue simulation test on pistons, the high power laser was transformed from the incident Gaussian beam into a concentric multi-circular pattern with specific intensity ratio. The spatial intensity distribution of the shaped beam, which determines the temperature field in the piston, must be designed before a diffractive optical element (DOE) can be manufactured. In this paper, a reverse method based on finite element model (FEM) was proposed to design the intensity distribution i… Show more

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Cited by 15 publications
(14 citation statements)
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“…A reverse method based on finite element model (FEM) has been proposed to acquire the optimal design for pistons [4]. In this method two major steps were incorporated: validation of FEM and optimization of intensity distribution.…”
Section: Numerical Model and Intensity Field Designmentioning
confidence: 99%
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“…A reverse method based on finite element model (FEM) has been proposed to acquire the optimal design for pistons [4]. In this method two major steps were incorporated: validation of FEM and optimization of intensity distribution.…”
Section: Numerical Model and Intensity Field Designmentioning
confidence: 99%
“…[1,2]. Recently high power laser was introduced to simulate the thermal loading on pistons [3,4]. Laser has been previously employed to study the thermal fatigue behavior of small material specimens cut from gas turbines, diesel engines, railroad steels, etc.…”
Section: Introductionmentioning
confidence: 99%
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“…The intensity distribution of the shaped beam was obtained through a reverse design method with the aid of finite element model (FEM), which is detailed in the accompanying paper [13]. In the simulation test, the shaped concentric multi-circular beam superimposed on the top surface of the piston, as illustrated in Fig.…”
mentioning
confidence: 99%