Optimum parameter selection for milling different laminate composites made by hand layup with cnc milling machine

Joint Authors

al-Khafaji, Ghadak M.
Khalid, Inas Abd al-Karim
al-Shamma, Fathi Abd al-Sahib

Source

Engineering and Technology Journal

Issue

Vol. 39, Issue 9 (30 Sep. 2021), pp.1352-1361, 10 p.

Publisher

University of Technology

Publication Date

2021-09-30

Country of Publication

Iraq

No. of Pages

10

Main Subjects

Civil Engineering

Topics

Abstract EN

Recently, composite materials were widely used in different applications due to their lightweight, and good thermal and mechanical properties.

In this study, an attempt to manufacture laminate composites by hand layup was performed.

Also, optimal parameters for the best surface roughness were investigated.

Therefore, three parameters had been examined; spindle speed, feed rate, and depth of cut.

The L9 Taguchi orthogonal array, signal to noise (S/N) ratio, and analysis of variance (ANOVA) were selected to determine the optimum parameters.

To create composites, the compression method was employed.

Four different types of composites were manufactured with 2.8 mm thickness, to determine the effect of the parameters on the surface roughness and for specified parameters using the CNC milling machine.

The weight fraction ratio of fibers was 39% , the polymer was 34% , and 27% for Aluminum.

The results showed that the optimum parameters for surface roughness in milling machine of composites for Polyester resin for aluminum–fiberglass composite are; spindle speed=5000 r.

p.

m, feed rate=1600 mm/min, depth of cut=1.6 mm and Ra=1.853 μm, and for epoxy resin; aluminum–carbon fiber composite is spindle speed=4000 r.

p.

m, feed rate=800 mm/min, depth of cut=1.2 mm and Ra=2.43 Recently, composite materials were widely used in different applications due to their lightweight, and good thermal and mechanical properties.

In this study, an attempt to manufacture laminate composites by hand layup was performed.

Also, optimal parameters for the best surface roughness were investigated.

Therefore, three parameters had been examined; spindle speed, feed rate, and depth of cut.

The L9 Taguchi orthogonal array, signal to noise (S/N) ratio, and analysis of variance (ANOVA) were selected to determine the optimum parameters.

To create composites, the compression method was employed.

Four different types of composites were manufactured with 2.8 mm thickness, to determine the effect of the parameters on the surface roughness and for specified parameters using the CNC milling machine.

The weight fraction ratio of fibers was 39% , the polymer was 34% , and 27% for Aluminum.

The results showed that the optimum parameters for surface roughness in milling machine of composites for Polyester resin for aluminum–fiberglass composite are; spindle speed=5000 r.

p.

m, feed rate=1600 mm/min, depth of cut=1.6 mm and Ra=1.853 μm, and for epoxy resin; aluminum–carbon fiber composite is spindle speed=4000 r.

p.

m, feed rate=800 mm/min, depth of cut=1.2 mm and Ra=2.43 μm

American Psychological Association (APA)

al-Khafaji, Ghadak M.& al-Shamma, Fathi Abd al-Sahib& Khalid, Inas Abd al-Karim. 2021. Optimum parameter selection for milling different laminate composites made by hand layup with cnc milling machine. Engineering and Technology Journal،Vol. 39, no. 9, pp.1352-1361.
https://search.emarefa.net/detail/BIM-1281513

Modern Language Association (MLA)

al-Khafaji, Ghadak M.…[et al.]. Optimum parameter selection for milling different laminate composites made by hand layup with cnc milling machine. Engineering and Technology Journal Vol. 39, no. 9 (2021), pp.1352-1361.
https://search.emarefa.net/detail/BIM-1281513

American Medical Association (AMA)

al-Khafaji, Ghadak M.& al-Shamma, Fathi Abd al-Sahib& Khalid, Inas Abd al-Karim. Optimum parameter selection for milling different laminate composites made by hand layup with cnc milling machine. Engineering and Technology Journal. 2021. Vol. 39, no. 9, pp.1352-1361.
https://search.emarefa.net/detail/BIM-1281513

Data Type

Journal Articles

Language

English

Notes

-

Record ID

BIM-1281513