2000
DOI: 10.1117/12.396483
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<title>Assembly processes for micro-optical beam transformation systems for high-power diode laser bars and stacks</title>

Abstract: High power diode lasers (HPDL) have become very attractive as an intelligent tool for direct material processing as well as pump sources for miniaturized solid state lasers and fiber lasers since optical beam transformation systems generate the required beam circularization from the originally highly asymmetric brightness of the output beam. This presentation focuses on reliable microassembling processes to realize micro-optical beam transformation systems for high power diode laser bars and stacks for the eff… Show more

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Cited by 7 publications
(7 citation statements)
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“…For instance, fixing a micro lens at the tip of an optical fiber with 1 µm of relative positioning error or 0,4 µrad of orientation error causes a loss of 50 % of the light flux [3].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, fixing a micro lens at the tip of an optical fiber with 1 µm of relative positioning error or 0,4 µrad of orientation error causes a loss of 50 % of the light flux [3].…”
Section: Introductionmentioning
confidence: 99%
“…At this scale, the systems should have accuracy and resolution that are better than one micron. For instance, fixing a microlens at the tip of an optical fiber with 1µm of relative positioning error or 0.4µrad of orientation error may cause a loss of 50% of the light flux [1]. In fact, to reach such high performances, the microrobots, micromanipulators and microsystems are developed with smart materials instead of classical motors (example DC motors) and hinges.…”
Section: Introductionmentioning
confidence: 99%
“…The A matrix is constructed from the recurrent equation (6) and from the boundary conditions. The detailed content of the A matrix is not reported in this paper because of its complexity and size.…”
Section: B Numerical Solutionsmentioning
confidence: 99%
“…FIG. 7 reports the comparison between the results of the numerical model (6) and experimental transient responses of the system using the parameters previously identified. The temperatures resulting from the modeling are close to the experimental temperature then the dynamic model can be used with confidence.…”
Section: A Identification Procedures Based On the Steady-state Analytmentioning
confidence: 99%
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