Robust precision alignment algorithm for micro tube laser forming

Folkersma, K. G. P.; Brouwer, Dannis Michel; Römer, G.R.B.E.; Herder, Just L.

doi:10.1016/j.precisioneng.2016.05.011

Cited by 11 publications

(13 citation statements)

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“…The steel tube has a outer diameter of 711 μm and a wall thickness of 89 μm. These dimensions were found to perform the best with the alignment algorithm [5]. The bending angles are small, therefore the lateral displacement of the fiber tip can be expressed as δ r = d · α, where α is the bending angle after the tube has cooled down (see Fig.…”

Section: Fiber Alignment By Laser Tube Bendingmentioning

confidence: 99%

“…Note the '+' shape of the first four iterations, even when a signal was already found at iteration 3. At iteration 5, the hill climbing starts, ending at iteration 11, which is almost equal to iteration 10, and meets the stop condition A method has been developed [5] that determines the optimal laser power P opt and laser spot position d opt to minimize the required number of bending steps. This method takes the scattering into account, by 'learning' from position measurements of previous bending steps.…”

Section: Laser Parameter Selectionmentioning

confidence: 99%

“…Therefore, the learning algorithm from [5] cannot be used. It is therefore required to gather historical response data of the bending angle and direction to the laser power beforehand.…”

Section: Laser Parameter Selectionmentioning

confidence: 99%

“…It is therefore required to gather historical response data of the bending angle and direction to the laser power beforehand. Figure 7 shows the optimal parameters used in this paper, based on the measurements presented in [5].…”

Section: Laser Parameter Selectionmentioning

confidence: 99%

“…7 The optimal parameters depending on the desired fiber tip displacement δ d , based on the optimization and data from [5]. The laser power is limited to 10 W to prevent melting of the tube However, the stop condition can be met beforeη opt has converged close to η opt .…”

Section: Stop Condition Of Alignment Iterationmentioning

confidence: 99%

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High precision optical fiber alignment using tube laser bending

Folkersma

Römer

Brouwer

et al. 2015

Int J Adv Manuf Technol

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In this paper, we present a method to align optical fibers within 0.2 μm of the optimal position, using tube laser bending and in situ measuring of the coupling efficiency. For near-UV wavelengths, passive alignment of the fibers with respect to the waveguides on photonic integrated circuit chips does not suffice. In prior research, it was shown that permanent position adjustments to an optical fiber by tube laser bending meets the accuracy requirements for this application. This iterative alignment can be done after any assembly steps. A method was developed previously that selects the optimal laser power and laser spot position on the tube, to minimize the number of iterations required to reach the target position. In this paper, that method is extended to the case where the absolute position of the fiber tip cannot be measured. By exploiting the thermal expansion motion at a relatively low laser power, the fiber tip can be moved without permanent deformation (only elastic strain) of the tube. An algorithm has been developed to search for the optimal fiber position, by actively measuring and maximizing the coupling efficiency. This search is performed before each bending step. Experiments have shown that it is possible to align the fiber with an accuracy of 0.2 μm using this approach.

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Section: Fiber Alignment By Laser Tube Bendingmentioning

confidence: 99%

Section: Laser Parameter Selectionmentioning

confidence: 99%

“…Therefore, the learning algorithm from [5] cannot be used. It is therefore required to gather historical response data of the bending angle and direction to the laser power beforehand.…”

Section: Laser Parameter Selectionmentioning

confidence: 99%

Section: Laser Parameter Selectionmentioning

confidence: 99%

Section: Stop Condition Of Alignment Iterationmentioning

confidence: 99%

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