An image-based feature tracking algorithm for real-time measurement of clad height

Iravani-Tabrizipour, Mehrdad; Toyserkani, Ehsan

doi:10.1007/s00138-006-0066-7

Cited by 59 publications

(25 citation statements)

References 6 publications

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“…For this reason, research on monitoring DED processes is slightly ahead of PBF processes with more emphasis placed on implementing real-time process control. There are many other studies that de velop variant systems to monitor the melt pool temperature and/or powder flow (see for example papers [107][108][109][110][111][112][113][114][115][116][117][118][119][120][121] and patents [122][123][124]). [98] and [99], the authors develop a closed-loop controller that takes feedback from the monitored temperature of the part and uses it to adjust the laser power and achieve a homo geneous temperature distribution and better dimensional accuracy.…”

Section: -4 / Vol 136 December 2014mentioning

confidence: 99%

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A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

Tapia

Elwany

2014

Journal of Manufacturing Science and Engineering

574

188

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There is consensus among both the research and industrial communities, and even the general public, that additive manufacturing (AM) processes capable o f processing metal lic materials are a set o f game changing technologies that offer unique capabilities with tremendous application potential that cannot be matched by traditional manufacturing technologies. Unfortunately, with all what AM has to offer, the quality and repeatability o f metal parts still hamper significantly their widespread as viable manufacturing proc esses. This is particularly true in industrial sectors with stringent requirements on part quality such as the aerospace and healthcare sectors. One approach to overcome this challenge that has recently been receiving increasing attention is process monitoring and real-time process control to enhance part quality and repeatability. This has been addressed by numerous research efforts in the past decade and continues to be identified as a high priority research goal. In this review paper, we fill an important gap in the liter ature represented by the absence o f one single source that comprehensively describes what has been achieved and provides insight on what still needs to be achieved in the field o f process monitoring and control fo r metal-based AM processes.

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Section: -4 / Vol 136 December 2014mentioning

confidence: 99%

“…Iravani-Tabrizipour and Toyserkani [115] use an optical system to measure the height of each layer during the process. Iravani-Tabrizipour and Toyserkani [115] use an optical system to measure the height of each layer during the process.…”

Section: -4 / Vol 136 December 2014mentioning

confidence: 99%

A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

Tapia

Elwany

2014

Journal of Manufacturing Science and Engineering

574

188

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“…In the experiment, substrate is 45# steel with the size of 90*90*40mm 3 . The preprocessing includes removing rust, and sand-blast on substrate surface to improve the absorptivity of laser power; the metal powder is Ni55 and the composition is displayed as TABLE 1.…”

Section: B Experiments Materialsmentioning

confidence: 99%

“…Utilizing machine vision to measure and control the molten pool to reduce the complex manual labor has become an important research interest. Some research on the temperature field and morphology of molten pool has been carried out at home and abroad [1][2][3][4][5][6][7][8]. And there is also some further research which has established closed-loop controlled system of laser cladding based on the molten pool measurement [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Measurement of the Molten Pool Image during Laser Cladding Process

Deng¹,

Fu²,

Chen³

et al. 2014

Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

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Abstract-Laser cladding is mainly applied in components renovation, coating, stacking forming, etc. At present, the degree of automation of laser cladding is not very high. Machine vision technology is gradually becoming a good approach to improve the automaticity. Utilizing machine vision to measure and control the molten pool to improve the degree of automation of laser cladding has become an important research interest. Clear image of molten pool was acquired with the appropriate image grabbing installation system and together with image processing methods, the area of molten pool was calculated. Analyzed variation of molten pool area as the processing parameters changed. Discussed variation of geometry of cross section of cladding bead. Explained the relationship between variation of the molten pool areas and cross section of cladding bead, according to the captured image of molten pool. When molten pool increases, it can capture more metal powder, so area of cross section of cladding bead will increase correspondingly. With appropriate processing parameters, the areas of molten pool and cross section of cladding bead are in positive correlation.

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“…Therefore, geometric variations of the target surface (such as holes, steps, or protrusions) negatively affect the behavior of the control system and, in turn, the quality of the obtained results. These problems can be overcome using systems that measure the geometry (e.g., height [13] or width [9], in two different applications) of the melt pool created by the laser beam by optical means and image processing techniques. Clad width measurements allow the degree of dilution (the relationship between the melted area of the substrate and the amount of added material) to be estimated, as shown in Figure 2, so this is the approach followed in this work.…”

Section: Limitations Of the Current Industrial Laser Cladding Systemsmentioning

confidence: 99%

Industrial Laser Cladding Systems: FPGA-Based Adaptive Control

Rodríguez-Araújo

Rodríguez-Andina

Fariña

et al. 2012

EEE Ind. Electron. Mag.

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An image-based feature tracking algorithm for real-time measurement of clad height

Cited by 59 publications

References 6 publications

A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

Measurement of the Molten Pool Image during Laser Cladding Process

Industrial Laser Cladding Systems: FPGA-Based Adaptive Control

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