Process parameters selection for laser welding of 304-stainless steel using AHP method

Welding input process parameters are playing a very significant role in determining the weld bead quality. The quality of the joint can be defined in terms of properties such as weld bead geometry, mechanical properties and distortion. Experiments were conducted to develop models, using a three factor, five level factorial design for 304 stainless steel as base plate with ER 308L filler wire of 1.6 mm diameter. The purpose of this study is to develop the mathematical model and compare the observed output values with predicted output values. Welding current, welding speed and nozzle to plate distance were chosen as input parameters, while depth of penetration, weld bead width, reinforcement and dilution as output parameters. The models developed have been checked for their adequacy. Confirmation experiments were also conducted and the results show that the models developed can predict the bead geometries and dilution with reasonable accuracy. The direct and interaction effect of the process parameters on bead geometry are presented in graphical form.

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Study on Laser Welding of Phone Nuts

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.815.778 ◽

2013 ◽

Vol 815 ◽

pp. 778-781

Author(s):

Xiao Hong Wu

Keyword(s):

Tensile Strength ◽

Stainless Steel ◽

Laser Pulse ◽

Laser Welding ◽

Pulse Energy ◽

Pulse Width ◽

Peak Power ◽

Laser Pulse Energy ◽

304 Stainless Steel ◽

Power Pulse

Used YAG pulse laser to weld 304 stainless steel nuts, studied about the parameters such as peak power, pulse width, defocus distance impacting on the performance of the joints welded by laser. The studies showed that the tensile strength and torque of the nuts increased as the peak power and the pulse width increased.Burn through in welding easy occur when laser pulse energy is too big, pulse width is too wide or defocus distance is too low.

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Microstructure Analysis of Fiber Laser Welding between E36 and 304 Stainless Steel

Laser & Optoelectronics Progress ◽

10.3788/lop52.041403 ◽

2015 ◽

Vol 52 (4) ◽

pp. 041403

Author(s):

刘东宇 Liu Dongyu ◽

李东 Li Dong ◽

李凯斌 Li Kaibin ◽

陈倩倩 Chen Qianqian

Keyword(s):

Stainless Steel ◽

Laser Welding ◽

Fiber Laser ◽

Microstructure Analysis ◽

304 Stainless Steel ◽

Fiber Laser Welding

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Prediction of weld geometry, temperature contour and strain distribution in disk laser welding of dissimilar joining between copper & 304 stainless steel

Optik ◽

10.1016/j.ijleo.2020.165288 ◽

2020 ◽

Vol 219 ◽

pp. 165288

Author(s):

M. Aghaee Attar ◽

M. Ghoreishi ◽

Z. Malekshahi Beiranvand

Keyword(s):

Stainless Steel ◽

Laser Welding ◽

Strain Distribution ◽

304 Stainless Steel ◽

Disk Laser ◽

Dissimilar Joining ◽

Weld Geometry ◽

Temperature Contour

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Research on NC Electrochemical Mechanical Complex Machining Stainless Steel

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.458.331 ◽

2010 ◽

Vol 458 ◽

pp. 331-336

Author(s):

Wei Min Gan ◽

Xi Lian Xie ◽

Bo Xu ◽

W.B. Huang

Keyword(s):

Stainless Steel ◽

Machine Tool ◽

Process Parameters ◽

High Speed ◽

Orthogonal Experiment ◽

High Strength ◽

304 Stainless Steel ◽

Depth Of Cut ◽

Tool Electrode ◽

Feed Speed

For hard machining metal materials with high rigidity，high strength or high toughness, the method of electrochemical mechanical complex machining is proposed. A NC high-speed machine tool for carving and milling is transformed into a NC electrochemical mechanical complex machine tool in which complex tool-electrodes, particular tool holders, a new rotary table, a protective flume for electrolyte and pipelines are made and assembled, so that machine tool can achieve a series of machining, such as milling, drilling, grinding and polishing by utilizing complex tool-electrode motion generated by NC. For 304 stainless steel orthogonal experiment is carried out, and five principal process parameters that are spindle rev, feed speed, voltage, pressure of electrolyte and depth of cut, are investigating in the method of NC Electrochemical Mechanical complex machining. The optimization process parameters are obtained.

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