Micro-channels by Nd:YAG laser beam machining: fabrication, microstructures, and micro-hardness profiles

2015 ◽  
Vol 85 (9-12) ◽  
pp. 1955-1968 ◽  
Author(s):  
Naveed Ahmed ◽  
Saied Darwish ◽  
Abdulrehman M. Alahmari ◽  
Muhammad Ali Shar
2018 ◽  
Vol 1 (1) ◽  
pp. 62-75 ◽  
Author(s):  
Rasmi Ranjan Behera ◽  
Mamilla Ravi Sankar ◽  
Prahlad Kumar Baruah ◽  
Ashwini Kumar Sharma ◽  
Alika Khare

The demand for miniaturized components is increasing day by day as their application varies from industry to industry such as biomedical, micro-electro-mechanical system and aerospace. In the present research work, high-quality micro-channels are fabricated on 304 stainless steel by laser beam micromachining process with nanosecond Nd:YAG laser. The laser pulse energy (LPE), scanning speed (SS) and scanning pass number (SP No.) are used as the process parameters, whereas the depth and width of the kerf as well as the surface roughness are used to characterize the micro-channels. It is found that the kerf depth, width and surface roughness decrease with increase in the SS. The kerf depth sharply increases with increase in the SP No. The kerf width is minimum at 30 mJ LPE, 400 µm s‒1 SS and 10 SP No. The minimum surface roughness is observed at 30 mJ LPE, 500 µm s‒1 SS and 10 SP No. The oxygen content is found to gradually decrease with the distance from the centre of the micro-channel. Based on the experimental results, optimized input parameters can be offered to control the micro-channel dimensions and improve their surface finish effectively on stainless steel.


2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Rajarshi Mukherjee ◽  
Debkalpa Goswami ◽  
Shankar Chakraborty

Nd:YAG laser beam machining (LBM) process has a great potential to manufacture intricate shaped microproducts with its unique characteristics. In practical applications, such as drilling, grooving, cutting, or scribing, the optimal combination of Nd:YAG LBM process parameters needs to be sought out to provide the desired machining performance. Several mathematical techniques, like Taguchi method, desirability function, grey relational analysis, and genetic algorithm, have already been applied for parametric optimization of Nd:YAG LBM processes, but in most of the cases, suboptimal or near optimal solutions have been reached. This paper focuses on the application of artificial bee colony (ABC) algorithm to determine the optimal Nd:YAG LBM process parameters while considering both single and multiobjective optimization of the responses. A comparative study with other population-based algorithms, like genetic algorithm, particle swarm optimization, and ant colony optimization algorithm, proves the global applicability and acceptability of ABC algorithm for parametric optimization. In this algorithm, exchange of information amongst the onlooker bees minimizes the search iteration for the global optimal and avoids generation of suboptimal solutions. The results of two sample paired t-tests also demonstrate its superiority over the other optimization algorithms.


2016 ◽  
Vol 63 (7) ◽  
pp. 511-518 ◽  
Author(s):  
Fujio TSUMORI ◽  
Simon HUNT ◽  
Kentaro KUDO ◽  
Toshiko OSADA ◽  
Hideshi MIURA

Author(s):  
Basem M. A. Abdo ◽  
Abdulaziz Al-Tamimi ◽  
Abdulrahman Al-Ahmari ◽  
Hisham Alkhalefah

2015 ◽  
Vol 83 (9-12) ◽  
pp. 1539-1555 ◽  
Author(s):  
Saied Darwish ◽  
Naveed Ahmed ◽  
Abdulrehman M. Alahmari ◽  
Nadeem Ahmad Mufti

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