Spectral analysis of the process emission during laser welding of AISI 304 stainless steel with disk and Nd:YAG laser

Author(s):  
Ali Riza Konuk ◽  
Ronald Aarts ◽  
Bert Huis in’t Veld





2013 ◽  
Vol 380-384 ◽  
pp. 4268-4271
Author(s):  
Chuan Zeng Li ◽  
Jun Ge Li ◽  
Yun Feng Zhou ◽  
Hai Rui Xie ◽  
Zuo Qing Zhu

This paper studies of laser parameters for color marking on AISI 304 stainless steel by using Nd:YAG laser. Different laser parameters can affect metal color profoundly. The experiment focuses on some key parameters, and their optimum laser parameters are as follows: the vector step 0.005mm~0.010mm, the inter-step time 35μs~60μs, laser Q frequency 2KHz~4KHz, laser Q release time 10μs~20μs, scanning space 0.006mm~0.010mm. It is of significance in guiding practical application of laser color marking.



2011 ◽  
Vol 117-119 ◽  
pp. 402-408
Author(s):  
Shazarel Shamsudin ◽  
Phoon Chee Yoon

Product with low cost, lightweight and enhanced mechanical properties were the main reasons welding dissimilar materials thrived by most of the industries. The laser welding technique which has high-energy density beam was found suitable of carrying this task. This paper attempts to investigate welding of AISI 304 stainless steel to AISI 1008 steel through Nd:YAG pulse laser method. The main objective of this study was to find out the weldability of these materials and investigate the mechanical properties of the welded butt joints. Peak power, pulse duration and weld speed combinations were carefully selected with the aims of producing weld with a good tensile strength, minimum heat affected zone (HAZ) and acceptable welding profile. Response surface methodology (RSM) approach was adopted as statistical design technique for tensile strength optimization. Statistical based mathematical model was developed to describe effects of each process parameters on the weld tensile strength and for response prediction within the parameter ranges. The microstructure of the weld and heat affected zones were observed via optical microscope. The results indicate the developed model can predict the response within ±9% of error from the actual values.





2020 ◽  
Vol 56 ◽  
pp. 96-105 ◽  
Author(s):  
V. Errico ◽  
S.L. Campanelli ◽  
A. Angelastro ◽  
M. Mazzarisi ◽  
G. Casalino


Sign in / Sign up

Export Citation Format

Share Document