Torque, power and cutting force prediction model by using response surface method and factorial design

This paper describes the development of a response models (cutting force,torque and power) for milling 618 stainless steel utilizing response surface methods. The both models are developed in terms of cutting speed, feed rate, axial depth and radial depth. The cutting force,power and torque contours...

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Main Authors: Kadirgama K., Abou-El-Hossein K.A.
Other Authors: 12761486500
Format: Article
Published: EuroJournals, Inc. 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-297812023-12-28T16:57:39Z Torque, power and cutting force prediction model by using response surface method and factorial design Kadirgama K. Abou-El-Hossein K.A. 12761486500 8367728100 Cutting force Factorial design Power Surface responce method Torque This paper describes the development of a response models (cutting force,torque and power) for milling 618 stainless steel utilizing response surface methods. The both models are developed in terms of cutting speed, feed rate, axial depth and radial depth. The cutting force,power and torque contours have been generated from these model equations and are shown of different plots. The model generated show that the cutting force reach the maximum value when cutting speed decreased and , feed rate, axial depth and radial depth are increased. The torque reaches the maximum value when cutting speed decreased and, feed rate, axial depth and radial depth are increased. The plot which shows the relationship between the torque and cutting speed been developed. From the plot, the cutting forces reach the highest value when the torque increased. The power model show increases when cutting speed, feed rate, axial depth and radial depth are increased. Factorial design been used to find out the effect of the torque and power to the cutting force. The value of the predicted value with considers covariates much more closer compare with the prediction without considered. The second order is more accurate based on the variance analysis and the predicted value is closer with the experimental result. � EuroJournals Publishing, Inc. 2007. Final 2023-12-28T08:57:39Z 2023-12-28T08:57:39Z 2007 Article 2-s2.0-34948880691 https://www.scopus.com/inward/record.uri?eid=2-s2.0-34948880691&partnerID=40&md5=68273b5035d560a7851dde3571b22b07 https://irepository.uniten.edu.my/handle/123456789/29781 18 1 20 44 EuroJournals, Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Cutting force
Factorial design
Power
Surface responce method
Torque
spellingShingle Cutting force
Factorial design
Power
Surface responce method
Torque
Kadirgama K.
Abou-El-Hossein K.A.
Torque, power and cutting force prediction model by using response surface method and factorial design
description This paper describes the development of a response models (cutting force,torque and power) for milling 618 stainless steel utilizing response surface methods. The both models are developed in terms of cutting speed, feed rate, axial depth and radial depth. The cutting force,power and torque contours have been generated from these model equations and are shown of different plots. The model generated show that the cutting force reach the maximum value when cutting speed decreased and , feed rate, axial depth and radial depth are increased. The torque reaches the maximum value when cutting speed decreased and, feed rate, axial depth and radial depth are increased. The plot which shows the relationship between the torque and cutting speed been developed. From the plot, the cutting forces reach the highest value when the torque increased. The power model show increases when cutting speed, feed rate, axial depth and radial depth are increased. Factorial design been used to find out the effect of the torque and power to the cutting force. The value of the predicted value with considers covariates much more closer compare with the prediction without considered. The second order is more accurate based on the variance analysis and the predicted value is closer with the experimental result. � EuroJournals Publishing, Inc. 2007.
author2 12761486500
author_facet 12761486500
Kadirgama K.
Abou-El-Hossein K.A.
format Article
author Kadirgama K.
Abou-El-Hossein K.A.
author_sort Kadirgama K.
title Torque, power and cutting force prediction model by using response surface method and factorial design
title_short Torque, power and cutting force prediction model by using response surface method and factorial design
title_full Torque, power and cutting force prediction model by using response surface method and factorial design
title_fullStr Torque, power and cutting force prediction model by using response surface method and factorial design
title_full_unstemmed Torque, power and cutting force prediction model by using response surface method and factorial design
title_sort torque, power and cutting force prediction model by using response surface method and factorial design
publisher EuroJournals, Inc.
publishDate 2023
_version_ 1806426083434692608