A laser back-lighting based metal transfer monitoring system for robotic gas metal arc welding

Wang, Zhenzhou

doi:10.1016/j.rcim.2015.10.004

Cited by 14 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When the traveling speed increases, the focus of arc energy on the molten zone decreases and results in a narrower and lower penetrated weld bead. On the other hand, when the arc energy input focus in speci c area of the plate decreases, the HAZ and thermal e ect on base metal decrease too [2]. Fast torch traveling has negative in uence on the process performance and results in improper weld joint.…”

Section: Bpnn Network Developingmentioning

confidence: 99%

“…Gas Tungsten Arc Welding (GTAW) [1]. High productivity rate due to the continuous feed of wire electrode, low weld discontinuity, no slag inclusion, and low thermal hazard on base metal is the main merit of this process [2].…”

Section: Introductionmentioning

confidence: 99%

“…Increasing productivity of any welding process while maintaining or even improving the weld quality has been the task of scholars in development of welding processes [2]. Previous predictive studies on GMAW process have had various purposes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

2017

View full text Add to dashboard Cite

Abstract. Gas Metal Arc Welding (GMAW) is one of the most extensively used processes in automated welding due to its high productivity. However, to simultaneously achieve several con icting objectives such as reducing production time, increasing product quality, full penetration, proper joint edge geometry, and optimal selection of process parameters, a multi-criteria optimization procedure must be used. The aim of this research is to develop a multi-criteria modeling and optimization procedure for GMAW process. To simultaneously predict Weld Bead Geometry (WBG) characteristics and Heat-A ected Zone (HAZ), a Back Propagation Neural Network (BPNN) has been proposed. The experimentally derived data sets are used in training and testing of the network. Results demonstrate that the nely tuned BPNN model can closely simulate actual GMAW process with less than 1% error. Next, to simultaneously optimize process characteristics, the BPNN model is inserted into a Particle Swarm Optimization (PSO) algorithm. The proposed technique determines a set of values for parameters and the workpiece groove angle in such a way that a pre-speci ed WBG is achieved while the HAZ of the weld joint is minimized. Optimal results are veri ed through additional experiments.

show abstract

Section: Bpnn Network Developingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

2017

View full text Add to dashboard Cite

show abstract

“…Once the images are obtained it is necessary to apply filters in order to eliminate the interference caused by the arc light intensity (Wang, 2016;Li, Wang, Xu, and Tan, 2010;Shao, Wang and Zhang, 2011;Guo, Shi, Liang and Wang, 2016).…”

Section: Revista Colombiana De Tecnologías De Avanzadamentioning

confidence: 99%

“…In order to detect the edges of droplet to study the metal transfer, Sobel and Canny operator were used in (Wang, 2016) and it was difficult to distinguish the edges of the droplet. Similar results were obtained with the graph cut-based method Results by gray level co-occurrence matrix based.…”

Section: Revista Colombiana De Tecnologías De Avanzadamentioning

confidence: 99%

Revisión De Técnicas De Sistemas De Visión Artificial Para La Inspección De Procesos De Soldadura Tipo Gmaw

García

Plata

Quintero

2017

RCTA

View full text Add to dashboard Cite

Resumen: El proceso de soldadura GMAW es ampliamente estudiado debido a su alta productividad y bajo costo. En este trabajo se han revisado las investigaciones orientadas a la inspección del proceso de GMAW a través de sistemas de visión artificial con el objetivo de establecer los principales elementos utilizados en estos sistemas destacando dos categorías: métodos computacionales (software y algoritmos generales), materiales y modelos matemáticos (métodos estadísticos y numéricos). Estas categorías se traslapan en el estudio y se han utilizado para evaluar el costo en términos de recursos humanos y recursos económicos. Las investigaciones revisadas se desarrollaron en la última década, con la excepción de algunas investigaciones que desempeñaron un papel principal en el desarrollo de los sistemas de inspección de los procesos GMAW. Finalmente, se han destacado los posibles campos de investigación para aquellos que intentan explorar sistemas de visión artificial para inspección de procesos GMAW.Palabras clave: GMAW, soldadura, visión artificial, inspección. Abstract:The GMAW welding process is widely studied due to its high productivity and low cost. In this paper we have reviewed the research oriented to the inspection of the GMAW process through artificial vision systems to classify them and establish the main elements used in these systems highlighting three categories: technology (hardware), computational methods (software and general algorithms) And mathematical models (statistical and numerical methods). These categories overlap in the document and have been used to assess the cost in terms of human resources and economic resources. The reviewed research was developed over the last decade, with the exception of some research that played a major role in the development of GMAW process inspection systems. Finally, potential research fields for those attempting to explore artificial visual systems for inspection of GMAW processes have been highlighted.

show abstract

A non-iterative clustering based soft segmentation approach for a class of fuzzy images

Wang

Yang

2018

Applied Soft Computing

View full text Add to dashboard Cite

A laser back-lighting based metal transfer monitoring system for robotic gas metal arc welding

Cited by 14 publications

References 18 publications

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach

Revisión De Técnicas De Sistemas De Visión Artificial Para La Inspección De Procesos De Soldadura Tipo Gmaw

A non-iterative clustering based soft segmentation approach for a class of fuzzy images

Contact Info

Product

Resources

About