Development of portable laser machining system for laser writing applications

Hsiao, Wen‐Tse; Tseng, Shih‐Feng; Chung, Chien-Kai; Chen, Pin-Hung; Chen, Mingfei

doi:10.1007/s10043-013-0027-0

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…Laser galvanometric scanning systems are widely used in many fields such as medical imaging, optical metrology, and material processing due to its capability to achieve very high processing velocities, high-positioning repeatability, and small laser spot size [1][2][3]. In Laser Powder Bed Fusion (LPBF) additive manufacturing machines such as Selective Laser Melting (SLM) and Selective Laser Sintering (SLS), a laser galvanometric scanning head (Fig.…”

Section: Contextmentioning

confidence: 99%

In situ calibration of galvanometric scanning head for laser powder bed fusion machines based on a vision system

Quinsat

2020

Int J Adv Manuf Technol

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In Laser Powder Bed Fusion (LPBF) additive manufacturing machines, a laser galvanometric scanning system is used to control the movement of the laser beam, which melts material powders layer-by-layer in a powder bed. Errors between desirable positions and actual positions of the laser in the work plane of the machine directly affect the geometry accuracy of built parts. Therefore, calibrating the laser galvanometric scanning system of LPBF machines is a very important task. This system is generally calibrated by calculating correction tables for its joint components. However, most existing calibration methods require a measuring phase of actual positions of laser engraved on a calibration plate. This phase was generally performed by a measuring system in another location, thus requiring a delay time and causing an interruption of the calibration process. In the current study, an in-situ calibration method for the laser galvanometric scanning head of LPBF machines was developed based on a vision system. The vision system (i.e., a high-resolution monochrome camera) was used to acquire experimental data rapidly during the calibration process, thereby avoiding the laser marking and the measuring phases of laser marks in another location. The acquired experimental data was subsequently used to calculate the correction tables/matrices for calibrating the optical chain of an LPBF machine prototype. The obtained results show that the developed measurement method is acceptable for the in-situ measurement with a good accuracy. After the calibration process, errors between the positions generated by the identified LPBF machine and those measured by the proposed method are very small with an average error of 0.03 mm, and about 80% of positions present an error less than 0.04 mm in the calibration region.

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Section: Contextmentioning

confidence: 99%

In situ calibration of galvanometric scanning head for laser powder bed fusion machines based on a vision system

Quinsat

2020

Int J Adv Manuf Technol

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“…Due to its precision, efficiency and flexibility, laser galvanometric scanning system (LGS) has been proven to be a prominent laser machining device with applications on metals [1,2], ceramic [3], papers [4], nanostructured dielectrics [5], polymers [6,7] and so on. Adjustable laser processing path of the LGS is realized through deflecting the incident laser by rotating two orthogonally distributed mirrors.…”

Section: Introductionmentioning

confidence: 99%

Laser cutting of irregular shape object based on stereo vision laser galvanometric scanning system

Zhang

Wang

et al. 2015

Optics and Lasers in Engineering

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“…A two-dimensional (2D) galvanometer is an important optical component. Due to its compact structure, small driving load, and fast response speed, it is widely used in material processing [1,2,3,4], laser projection [5,6,7], optical measurement [8,9], biomedical imaging [10,11], automatic vehicle driving [12], optical communication [13], and other aspects.…”

Section: Introductionmentioning

confidence: 99%

An Online Calibration Method for a Galvanometric System Based on Wavelet Kernel ELM

Zhang

Guo

Zhang

et al. 2019

Sensors

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The online calibration method of a two-dimensional (2D) galvanometer requires both high precision and better real-time performance to meet the needs of moving target position measurement, which presents some challenges for traditional calibration methods. In this paper, a new online calibration method is proposed using the wavelet kernel extreme learning machine (KELM). Firstly, a system structure is created and its experiment setup is established. The online calibration method is then analyzed based on a wavelet KELM algorithm. Finally, the acquisition methods of the training data are set, two groups of testing data sets are presented, and the verification method is described. The calibration effects of the existing methods and wavelet KELM methods are compared in terms of both accuracy and speed. The results show that, for the two testing data sets, the root mean square errors (RMSE) of the Mexican Hat wavelet KELM are reduced by 16.4% and 38.6%, respectively, which are smaller than that of the original ELM, and the standard deviations (Sd) are reduced by 19.2% and 36.6%, respectively, indicating the proposed method has better generalization and noise suppression performance for the nonlinear samples of the 2D galvanometer. Although the online operation time of KELM is longer than ELM, due to the complexity of the wavelet kernel, it still has better real-time performance.

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Development of portable laser machining system for laser writing applications

Cited by 6 publications

References 15 publications

In situ calibration of galvanometric scanning head for laser powder bed fusion machines based on a vision system

In situ calibration of galvanometric scanning head for laser powder bed fusion machines based on a vision system

Laser cutting of irregular shape object based on stereo vision laser galvanometric scanning system

An Online Calibration Method for a Galvanometric System Based on Wavelet Kernel ELM

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