Genetic Algorithm Based Optimization of Cutting Parameters in CO2 Laser Beam Cutting of Cow Leather

Thangaraj Muthuramalingam; Swaminathan Vasanth; Sanjeev Gupta; Vu Ngoc Pi

doi:10.1007/978-3-030-64719-3_54

Genetic Algorithm Based Optimization of Cutting Parameters in CO₂ Laser Beam Cutting of Cow Leather

Thangaraj Muthuramalingam^*
, Swaminathan Vasanth
, Sanjeev Gupta
, Vu Ngoc Pi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Abstract

Laser cutting provides better and affordable cutting of intricate geometries with stable cutting quality in economically best way. In the present study, an effort was made to utilize genetic algorithm (GA) for the minimization of kerf width and maximum dimensional accuracy on cutting of cow leather. The investigation was carried out with different process parameters such as power (w), cutting speed (mm/s) and time (sec). The different geometries (square, rectangle, hexagon, triangle) of cow leathers were taken as specimens. The optimization machining parameters to acquire minimum overcut was done by genetic algorithm. It has been found that the proposed algorithm could provide better performance measures on leather cutting of cow leather.

Original language	English
Title of host publication	Lecture Notes in Networks and Systems
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	485-490
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-030-64719-3_54
State	Published - 2021
Externally published	Yes

Publication series

Name	Lecture Notes in Networks and Systems
Volume	178
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Cutting
Laser
Optimization
Thermal energy

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-030-64719-3_54

Cite this

Muthuramalingam, T., Vasanth, S., Gupta, S., & Pi, V. N. (2021). Genetic Algorithm Based Optimization of Cutting Parameters in CO₂ Laser Beam Cutting of Cow Leather. In Lecture Notes in Networks and Systems (pp. 485-490). (Lecture Notes in Networks and Systems; Vol. 178). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-64719-3_54

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title = "Genetic Algorithm Based Optimization of Cutting Parameters in CO2 Laser Beam Cutting of Cow Leather",

abstract = "Laser cutting provides better and affordable cutting of intricate geometries with stable cutting quality in economically best way. In the present study, an effort was made to utilize genetic algorithm (GA) for the minimization of kerf width and maximum dimensional accuracy on cutting of cow leather. The investigation was carried out with different process parameters such as power (w), cutting speed (mm/s) and time (sec). The different geometries (square, rectangle, hexagon, triangle) of cow leathers were taken as specimens. The optimization machining parameters to acquire minimum overcut was done by genetic algorithm. It has been found that the proposed algorithm could provide better performance measures on leather cutting of cow leather.",

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Genetic Algorithm Based Optimization of Cutting Parameters in CO₂ Laser Beam Cutting of Cow Leather. / Muthuramalingam, Thangaraj; Vasanth, Swaminathan; Gupta, Sanjeev et al.
Lecture Notes in Networks and Systems. Springer Science and Business Media Deutschland GmbH, 2021. p. 485-490 (Lecture Notes in Networks and Systems; Vol. 178).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

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AU - Gupta, Sanjeev

AU - Pi, Vu Ngoc

PY - 2021

Y1 - 2021

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AB - Laser cutting provides better and affordable cutting of intricate geometries with stable cutting quality in economically best way. In the present study, an effort was made to utilize genetic algorithm (GA) for the minimization of kerf width and maximum dimensional accuracy on cutting of cow leather. The investigation was carried out with different process parameters such as power (w), cutting speed (mm/s) and time (sec). The different geometries (square, rectangle, hexagon, triangle) of cow leathers were taken as specimens. The optimization machining parameters to acquire minimum overcut was done by genetic algorithm. It has been found that the proposed algorithm could provide better performance measures on leather cutting of cow leather.

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KW - Optimization

KW - Thermal energy

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SP - 485

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