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

المؤلفون المشاركون

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

المصدر

Engineering and Technology Journal

العدد

المجلد 39، العدد 9 (30 سبتمبر/أيلول 2021)، ص ص. 1352-1361، 10ص.

الناشر

الجامعة التكنولوجية

تاريخ النشر

2021-09-30

دولة النشر

العراق

عدد الصفحات

10

التخصصات الرئيسية

الهندسة المدنية

الموضوعات

الملخص 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

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

-

رقم السجل

BIM-1281513