Optimization of process parameters for pulsed laser milling of micro-channels on AISI H13 tool steel

Daniel Teixidor; Inés Ferrer; Joaquim Ciurana; Tugrul Özel

doi:10.1016/j.rcim.2012.05.005

Optimization of process parameters for pulsed laser milling of micro-channels on AISI H13 tool steel

Daniel Teixidor, Inés Ferrer, Joaquim Ciurana, Tugrul Özel

School of Engineering, Industrial Engineering

Research output: Contribution to journal › Article › peer-review

89 Scopus citations

Abstract

This paper focuses on understanding the influence of laser milling process parameters on the final geometrical and surface quality of micro-channel features fabricated on AISI H13 steel. Optimal selection of process parameters is highly critical for successful material removal and high dimensional and surface quality for micro-sized die/mold applications. A set of designed experiments is carried out in a pulsed Nd:YAG laser milling system using AISI H13 hardened tool steel as work material. Arrays of micro-channels have been fabricated using a range of process parameters such as scanning speed (SS), pulse intensity (PI), and pulse frequency (PF). The relation between process parameters and quality characteristics has been studied with experimental modeling. Multi-criteria decision making for material and process parameter selection for desired surface quality and dimensional accuracy is investigated using an evolutionary computation method based on particle swarm optimization (PSO).

Original language	English (US)
Pages (from-to)	209-218
Number of pages	10
Journal	Robotics and Computer-Integrated Manufacturing
Volume	29
Issue number	1
DOIs	https://doi.org/10.1016/j.rcim.2012.05.005
State	Published - Feb 2013

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Mathematics(all)
Computer Science Applications
Industrial and Manufacturing Engineering

Keywords

Laser milling process
Process parameters optimization
Process parameters selection

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10.1016/j.rcim.2012.05.005

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title = "Optimization of process parameters for pulsed laser milling of micro-channels on AISI H13 tool steel",

abstract = "This paper focuses on understanding the influence of laser milling process parameters on the final geometrical and surface quality of micro-channel features fabricated on AISI H13 steel. Optimal selection of process parameters is highly critical for successful material removal and high dimensional and surface quality for micro-sized die/mold applications. A set of designed experiments is carried out in a pulsed Nd:YAG laser milling system using AISI H13 hardened tool steel as work material. Arrays of micro-channels have been fabricated using a range of process parameters such as scanning speed (SS), pulse intensity (PI), and pulse frequency (PF). The relation between process parameters and quality characteristics has been studied with experimental modeling. Multi-criteria decision making for material and process parameter selection for desired surface quality and dimensional accuracy is investigated using an evolutionary computation method based on particle swarm optimization (PSO).",

keywords = "Laser milling process, Process parameters optimization, Process parameters selection",

author = "Daniel Teixidor and In{\'e}s Ferrer and Joaquim Ciurana and Tugrul {\"O}zel",

note = "Funding Information: The authors would like to express their gratitude to the GREP research group from the UdG, the MARL group at Rutgers University, and the ASCAMM Technology Center for the facilities provided during the experiments. This work was partially carried out with the grant supports from the European Commission project IREBID ( FP7-PEOPLE-2009-IRSES-247476 ) and the Spanish Science and Innovation Minister project TECNIPLAD ( DPI2009-09852 ). ",

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doi = "10.1016/j.rcim.2012.05.005",

language = "English (US)",

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AU - Ciurana, Joaquim

AU - Özel, Tugrul

N1 - Funding Information: The authors would like to express their gratitude to the GREP research group from the UdG, the MARL group at Rutgers University, and the ASCAMM Technology Center for the facilities provided during the experiments. This work was partially carried out with the grant supports from the European Commission project IREBID ( FP7-PEOPLE-2009-IRSES-247476 ) and the Spanish Science and Innovation Minister project TECNIPLAD ( DPI2009-09852 ).

PY - 2013/2

Y1 - 2013/2

N2 - This paper focuses on understanding the influence of laser milling process parameters on the final geometrical and surface quality of micro-channel features fabricated on AISI H13 steel. Optimal selection of process parameters is highly critical for successful material removal and high dimensional and surface quality for micro-sized die/mold applications. A set of designed experiments is carried out in a pulsed Nd:YAG laser milling system using AISI H13 hardened tool steel as work material. Arrays of micro-channels have been fabricated using a range of process parameters such as scanning speed (SS), pulse intensity (PI), and pulse frequency (PF). The relation between process parameters and quality characteristics has been studied with experimental modeling. Multi-criteria decision making for material and process parameter selection for desired surface quality and dimensional accuracy is investigated using an evolutionary computation method based on particle swarm optimization (PSO).

AB - This paper focuses on understanding the influence of laser milling process parameters on the final geometrical and surface quality of micro-channel features fabricated on AISI H13 steel. Optimal selection of process parameters is highly critical for successful material removal and high dimensional and surface quality for micro-sized die/mold applications. A set of designed experiments is carried out in a pulsed Nd:YAG laser milling system using AISI H13 hardened tool steel as work material. Arrays of micro-channels have been fabricated using a range of process parameters such as scanning speed (SS), pulse intensity (PI), and pulse frequency (PF). The relation between process parameters and quality characteristics has been studied with experimental modeling. Multi-criteria decision making for material and process parameter selection for desired surface quality and dimensional accuracy is investigated using an evolutionary computation method based on particle swarm optimization (PSO).

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KW - Process parameters optimization

KW - Process parameters selection

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Optimization of process parameters for pulsed laser milling of micro-channels on AISI H13 tool steel

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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