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Aloe vera as cutting fluid optimization using response surface method

Authors :
Hartono, Priyagung; University of Islam Malang Jalan. M. T. Haryono, 193, Malang, Indonesia, 65144
Pratikto, Pratikto; Brawijaya University Malang Jalan. Mayjend Haryono, 167, Malang, Indonesia, 65145
Suprapto, Agus; University of Merdeka Malang Jalan. Terusan Raya Dieng, 62-64, Malang, Indonesia, 65146
Irawan, Yudy Surya; Brawijaya University Malang Jalan. Mayjend Haryono, 167, Malang, Indonesia, 65145
Hartono, Priyagung; University of Islam Malang Jalan. M. T. Haryono, 193, Malang, Indonesia, 65144
Pratikto, Pratikto; Brawijaya University Malang Jalan. Mayjend Haryono, 167, Malang, Indonesia, 65145
Suprapto, Agus; University of Merdeka Malang Jalan. Terusan Raya Dieng, 62-64, Malang, Indonesia, 65146
Irawan, Yudy Surya; Brawijaya University Malang Jalan. Mayjend Haryono, 167, Malang, Indonesia, 65145
Source :
Східно-Європейський журнал передових технологій; Том 1, № 1 (91) (2018): Виробничо-технологічні системи; 55-63; Восточно-Европейский журнал передовых технологий; Том 1, № 1 (91) (2018): Производственно-технологические системы; Eastern-European Journal of Enterprise Technologies; Том 1, № 1 (91) (2018): Engineering technological systems; 1729-4061; 1729-3774
Publication Year :
2018

Abstract

The fluid of vegetable Aloe Vera has characteristics as a cutting fluid, Aloe Vera cutting fluid (AVCF) has an excess of environmental reduction effects from oil-based cutting fluid (OBCF). Surface Response Methodology (RSM) based Central Composite Design (CCD) was applied as an experimental design, to predict the optimum parameters in the turning process. Because RSM is the final description of a good experimental design to improve the linear response surface model, and in determining the optimum operating conditions. Twenty sets of experimental tests were prepared by three reversed parameter factors, feed rate (f), depth of cut (a), and AVCF three type. Roughness (Ra) and flank wear (VB) were defined as response variables and then analyzed by multiple quadratic regression to determine the most appropriate mathematical model. The combined effects of the parameters were investigated using contour plots and surface plots. HSS as a cutting tool and Steel St.42 workpiece were used to achieve 20 tests. The adequacy of the developed model was examined using Analysis of Variance. Based on the results, the optimum process is shown by the following parameters: f=0.140 mm/rev; a=2.0556 mm, and AVCF=71.8970 cSt provide optimal cutting conditions with lower Ra and f=0.20 mm/rev, a=2.50 mm, and AVCF=8.8050 cSt giveoptimal cutting conditions with lower VB. Therefore, the improvement of AVCF as a substitute for OBCF continued experiments.

Details

Database :
OAIster
Journal :
Східно-Європейський журнал передових технологій; Том 1, № 1 (91) (2018): Виробничо-технологічні системи; 55-63; Восточно-Европейский журнал передовых технологий; Том 1, № 1 (91) (2018): Производственно-технологические системы; Eastern-European Journal of Enterprise Technologies; Том 1, № 1 (91) (2018): Engineering technological systems; 1729-4061; 1729-3774
Notes :
application/pdf, Східно-Європейський журнал передових технологій, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1031395089
Document Type :
Electronic Resource