Modelling and optimization of laser engraving qualitative characteristics of Al-SiC composite using response surface methodology and artificial neural networks-Reference-Cited by-同舟云学术

Modelling and optimization of laser engraving qualitative characteristics of Al-SiC composite using response surface methodology and artificial neural networks

Published:2019-04 Issue: Volume:112 Page:65-76
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Rahimi Mohammad Hosein,Shayganmanesh Mahdi,Noorossana Rassoul,Pazhuheian Farhad

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference24 articles.

1. Aluminum silicon carbide (AlSiC) for cost-effective thermal management and functional microelectronic packaging design solutions;Occhionero,1999

2. Fabrication and mechanical properties of a nanostructured complex aluminum alloy by three-layer stack accumulative roll-bonding;Lee;Arch. Metall. Mater.,2015

3. Investigation of the microstructure and the mechanical properties of Cu-NiC composite produced by accumulative roll bonding and coating processes;Shabani;J. Mater. Eng. Perform.,2015

4. Application of the Taguchi method in the optimization of laser micro–engraving of photomasks;Chen;Int. J. Mater. Prod. Technol.,1996

5. Parametric studies on pulsed Nd: YAG laser cutting of carbon fibre reinforced plastic composites;Mathew;J. Mater. Process. Technol.,1999

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