Evaluation of Surface Characteristics with Pre-treatment Polishing Process in Pulsed Laser Polishing AISI 4140 Mold Steel

Author(s):  
Dong-Wook Lim ◽  
Ji-Hun Kim ◽  
Byung-Chan Kim ◽  
Jeong Yeon Park ◽  
Seok Jae Ha
2014 ◽  
Vol 575 ◽  
pp. 766-770 ◽  
Author(s):  
Benoit Rosa ◽  
Jean Yves Hascoet ◽  
Pascal Mognol

Laser polishing is a finishing process based on melting material, with the objective of improving surface topography. Some operating parameters must be taken into consideration, such as laser power, feed rate, offset, and overlapping. Moreover, because of its dependence on the primary process, the initial topography has also an impact on the final result. This study describes a quadratic model, conceived to optimize final topography according to the primary process and laser polishing. Based on an experimental matrix, the model takes into account both laser operating parameters and the initial topography, in order to predict polished surfaces and to determine optimal set of parameters. After the phase of experimentation and the creation of the quadratic model, an optimal final topography is introduced, taking into account the initial surface and the laser parameters.


2016 ◽  
Vol 83 ◽  
pp. 1083-1093 ◽  
Author(s):  
André Heckert ◽  
Christian Singer ◽  
Michael F. Zaeh ◽  
Ruediger Daub ◽  
Tobias Zeilinger

Author(s):  
Alessandra Caggiano ◽  
Roberto Teti ◽  
Vittorio Alfieri ◽  
Fabrizia Caiazzo

AbstractAdditive manufactured components require polishing to improve their inherently rough surface finish. In this work, an innovative laser polishing process based on wobbling of the laser beam is proposed for surface finish enhancement of additive manufactured parts made of Cr–Cu precipitation hardening steel, widely employed for mechanical components in the automotive industry. Parts were fabricated by selective laser melting and subjected to the innovative laser polishing under different process conditions. Surface characterization was performed by microstructural analysis and surface roughness measurement. Machine learning-based CNN processing of polished surface images was employed for automatic identification of optimal LP condition.


Author(s):  
Neil A. Duffie ◽  
Frank E. Pfefferkorn ◽  
Xiaochun Li ◽  
Chao Ma ◽  
Madhu Vadali
Keyword(s):  

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