2019
DOI: 10.1016/j.measurement.2018.10.035
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Optimizing the pulse wave mode low power fibre laser welding parameters of 22Mnb5 boron steel using response surface methodology

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Cited by 41 publications
(18 citation statements)
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“…In this paper, the outside diameter of the substrate was represented by an outside radius of the cylindrical substrate (RC), hereinafter referred to as the outside radius. Table 2 shows the experimental design matrix consisting of selected factors and their five individual levels [14][15][16]. Before conducting the cladding process, the substrate surface was cleaned with absolute ethanol.…”
Section: Methodsmentioning
confidence: 99%
“…In this paper, the outside diameter of the substrate was represented by an outside radius of the cylindrical substrate (RC), hereinafter referred to as the outside radius. Table 2 shows the experimental design matrix consisting of selected factors and their five individual levels [14][15][16]. Before conducting the cladding process, the substrate surface was cleaned with absolute ethanol.…”
Section: Methodsmentioning
confidence: 99%
“…The high heat input applied on the FZ produced evaporation of Mn from 17 to 13%, enhancing the tensile load values and reaching 94% of strength efficiency (Table 1). With ultra-high strength steel 22MnB5, the technique transformed the original perlitic-ferritic microstructure into martensite in the FZ and mixture of ferrite, pearlite, and bainite in the HAZ [19].…”
Section: Dual Phase (Dp)mentioning
confidence: 99%
“…Therefore, the series of pulsed fusion zones overlapped generates the weld seam [15][16][17][18]. Even with the high peak power of each pulse, the intermittent configuration conducts a low average power [11,19,20]. Moreover, the behaviour of lower heat input and sharply high energy focused provokes minor disturbances in the materials, developing welding seams with condensed melting and affected areas [9,21].…”
Section: Introduction 1descriptionmentioning
confidence: 99%
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“…In our study, Taguchi design which allows using Response Surfaces Modelling (RSM) is opted and it is considered as a statistical method for modelling of problems in which different variables affect the desired response. It allows determining an appropriate approximation function representing the relationship between the response and independent variables [19,[39][40][41].…”
Section: Optimization Of the Grading Rings Parameters Based On Bat Almentioning
confidence: 99%