Surface roughness in lathe boring operation

Optimizing the cutting parameters is important to obtain the best surface roughness, to minimize the cost of production and to increase productivity. The main objective of the project are to study the optimum cutting parameters that are the cutting speed, feed rate and depth of cut for single tool b...

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Main Author:	Alisandra Arieza Fou, Muhd Farid Fou
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/7652/ http://umpir.ump.edu.my/id/eprint/7652/ http://umpir.ump.edu.my/id/eprint/7652/1/ALISANDRA_ARIEZA_FOU_BT_MUHD_FARID_FOU.PDF

id	ump-7652
recordtype	eprints
spelling	ump-76522016-04-20T03:14:30Z http://umpir.ump.edu.my/id/eprint/7652/ Surface roughness in lathe boring operation Alisandra Arieza Fou, Muhd Farid Fou TA Engineering (General). Civil engineering (General) Optimizing the cutting parameters is important to obtain the best surface roughness, to minimize the cost of production and to increase productivity. The main objective of the project are to study the optimum cutting parameters that are the cutting speed, feed rate and depth of cut for single tool boring process to obtain the best surface roughness. The Brinell hardness of the material tested is 151. In this study, the Design of Experiment (DOE) with Box-Behnken design is used. By using the STATISTICA software a table of run was generated based on the full factorial with three factor and three levels. Twenty seven experiments are then run according to the "Table of run" generated by the STATISTICA software and the surface roughness value is recorded. Analysis of variance (ANOVA) was used to identify the significant cutting parameters that affect the surface roughness. The ANOVA table has shown that from the 27 experiments, cutting speeds and depth of cut are significant. From the experiment, rough optimization values are obtained. The rough optimizations of cutting speeds are 110 mlmin and the depths of cut are , 0.278 mm gives a surface roughness value of 2.18 pm. The experiments are continued by another ten experiments to find the fine optimized cutting speed and depth of cut to obtain the best surface roughness. It was concluded that the fine optimization cutting speeds for the mild steel (AISI 1019) are 112 m/min and the depths of cut are 0.182 mm gives a surface roughness of 2.06 pm for the specific machine. The usage of a harder material which is commonly used in industry and cutting parameter such as tool nose radius and length of the boring tool is highly recommended to find the optimization parameter for the best surface roughness in the boring operation. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7652/1/ALISANDRA_ARIEZA_FOU_BT_MUHD_FARID_FOU.PDF Alisandra Arieza Fou, Muhd Farid Fou (2012) Surface roughness in lathe boring operation. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:77769&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Alisandra Arieza Fou, Muhd Farid Fou Surface roughness in lathe boring operation
description	Optimizing the cutting parameters is important to obtain the best surface roughness, to minimize the cost of production and to increase productivity. The main objective of the project are to study the optimum cutting parameters that are the cutting speed, feed rate and depth of cut for single tool boring process to obtain the best surface roughness. The Brinell hardness of the material tested is 151. In this study, the Design of Experiment (DOE) with Box-Behnken design is used. By using the STATISTICA software a table of run was generated based on the full factorial with three factor and three levels. Twenty seven experiments are then run according to the "Table of run" generated by the STATISTICA software and the surface roughness value is recorded. Analysis of variance (ANOVA) was used to identify the significant cutting parameters that affect the surface roughness. The ANOVA table has shown that from the 27 experiments, cutting speeds and depth of cut are significant. From the experiment, rough optimization values are obtained. The rough optimizations of cutting speeds are 110 mlmin and the depths of cut are , 0.278 mm gives a surface roughness value of 2.18 pm. The experiments are continued by another ten experiments to find the fine optimized cutting speed and depth of cut to obtain the best surface roughness. It was concluded that the fine optimization cutting speeds for the mild steel (AISI 1019) are 112 m/min and the depths of cut are 0.182 mm gives a surface roughness of 2.06 pm for the specific machine. The usage of a harder material which is commonly used in industry and cutting parameter such as tool nose radius and length of the boring tool is highly recommended to find the optimization parameter for the best surface roughness in the boring operation.
format	Undergraduates Project Papers
author	Alisandra Arieza Fou, Muhd Farid Fou
author_facet	Alisandra Arieza Fou, Muhd Farid Fou
author_sort	Alisandra Arieza Fou, Muhd Farid Fou
title	Surface roughness in lathe boring operation
title_short	Surface roughness in lathe boring operation
title_full	Surface roughness in lathe boring operation
title_fullStr	Surface roughness in lathe boring operation
title_full_unstemmed	Surface roughness in lathe boring operation
title_sort	surface roughness in lathe boring operation
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/7652/ http://umpir.ump.edu.my/id/eprint/7652/ http://umpir.ump.edu.my/id/eprint/7652/1/ALISANDRA_ARIEZA_FOU_BT_MUHD_FARID_FOU.PDF
first_indexed	2023-09-18T22:04:29Z
last_indexed	2023-09-18T22:04:29Z
_version_	1777414616210472960

Surface roughness in lathe boring operation

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