Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL Condition
Turning is one of the initial basic machining operation that prevails in assembly and production process. Modern techniques have been practices in rapid and eco-friendly production systems. Present study deals with the investigation of turning process on EN 18 steel which is been shown its existence...
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2020-01-01
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doaj-2ea3e5f8f488408f9ff93f206573dd532021-04-02T12:49:36ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011840101310.1051/e3sconf/202018401013e3sconf_icmed2020_01013Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL ConditionSatynarayana KosarajuSwathi Are0Neeraja Kesari1Samaikhya Madipali2Rajkiran Kumkuma3UG Student, GRIET, Mechanical Engineering DepartmentUG Student, GRIET, Mechanical Engineering DepartmentUG Student, GRIET, Mechanical Engineering DepartmentPG Student, GRIET, Mechanical Engineering DepartmentTurning is one of the initial basic machining operation that prevails in assembly and production process. Modern techniques have been practices in rapid and eco-friendly production systems. Present study deals with the investigation of turning process on EN 18 steel which is been shown its existence in automobiles industries. Turning operation was performed using a coated tool insert with varying cutting speed (100, 125 and 150 mm/min), feed rate (0.05, 0.5, 0.15 mm/rev) and depth of cut (0.4, 0.8, 1.2 mm) at both dry and MQL conditions. The results obtained was compared to optimize the effect of minimum quality lubrication on surface roughness. Experimentally it was observed that speed of 100 m/min with combination of feed of 0.05 mm/rev and 0.4 mm depth of cut was found to be optimized for surface roughness in both the cases. The mathematical model generated for surface roughness and MRR for both dry and MQL turning models having better regression fit as it closer to 100. From ANOVA analysis feed was proved to be the highest contributing factor for surface roughness and for MRR speed is the most significant factor for both dry and MQL turninghttps://www.e3s-conferences.org/articles/e3sconf/pdf/2020/44/e3sconf_icmed2020_01013.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Satynarayana Kosaraju Swathi Are Neeraja Kesari Samaikhya Madipali Rajkiran Kumkuma |
spellingShingle |
Satynarayana Kosaraju Swathi Are Neeraja Kesari Samaikhya Madipali Rajkiran Kumkuma Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL Condition E3S Web of Conferences |
author_facet |
Satynarayana Kosaraju Swathi Are Neeraja Kesari Samaikhya Madipali Rajkiran Kumkuma |
author_sort |
Satynarayana Kosaraju |
title |
Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL Condition |
title_short |
Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL Condition |
title_full |
Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL Condition |
title_fullStr |
Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL Condition |
title_full_unstemmed |
Taguchi Optimisation In Machining EN18 Using Coated Tool Under Dry and MQL Condition |
title_sort |
taguchi optimisation in machining en18 using coated tool under dry and mql condition |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
Turning is one of the initial basic machining operation that prevails in assembly and production process. Modern techniques have been practices in rapid and eco-friendly production systems. Present study deals with the investigation of turning process on EN 18 steel which is been shown its existence in automobiles industries. Turning operation was performed using a coated tool insert with varying cutting speed (100, 125 and 150 mm/min), feed rate (0.05, 0.5, 0.15 mm/rev) and depth of cut (0.4, 0.8, 1.2 mm) at both dry and MQL conditions. The results obtained was compared to optimize the effect of minimum quality lubrication on surface roughness. Experimentally it was observed that speed of 100 m/min with combination of feed of 0.05 mm/rev and 0.4 mm depth of cut was found to be optimized for surface roughness in both the cases. The mathematical model generated for surface roughness and MRR for both dry and MQL turning models having better regression fit as it closer to 100. From ANOVA analysis feed was proved to be the highest contributing factor for surface roughness and for MRR speed is the most significant factor for both dry and MQL turning |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/44/e3sconf_icmed2020_01013.pdf |
work_keys_str_mv |
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