Prediction of surface roughness and tool wear in milling process on brass (C26130) alloy by Taguchi technique

2020 ◽  
Vol 21 ◽  
pp. 189-193 ◽  
Author(s):  
S.V. Alagarsamy ◽  
M. Ravichandran ◽  
M. Meignanamoorthy ◽  
S. Sakthivelu ◽  
S. Dineshkumar
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Milling Process ◽  
Taguchi Technique

Effect of Tool Wear on Surface Qualities in Milling of TC4

2016 ◽  
Vol 836-837 ◽  
pp. 132-138 ◽  
Author(s):  
Shu Cai Yang ◽  
Xiao Yang Cui ◽  
Yu Hua Zhang ◽  
Zhi Wei Wang
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Tool Wear ◽  
Surface Quality ◽  
End Milling ◽  
Great Influence ◽  
Chip Morphology ◽  
Milling Process ◽  
Serrated Chip ◽  
Quality Surface

Tool wear is easy occurred in titanium alloy milling process which will affect the surface quality. Surface roughness and surface morphology as an important index to describe and evaluate the surface quality has a great influence on service performance. Therefore, the study on the effect of tool wear on surface qualities is important to improve the surface integrity of titanium alloy parts. Cutting radius of ball-end milling cutter is solved to analyze the effect of tool wear on the cutting radius. The tool wear and the surface qualities of TC4 are achieved through wear experiment. And then the influence law of tool wear on surface qualities and chip morphology are analyzed. The results show that surface roughness value decrease firstly and then increases and that chip morphology with flank wear increase from the unit chip to the serrated chip.

scholarly journals Analysis of tool wear and surface roughness in high-speed milling process of aluminum alloy Al6061

2021 ◽  
pp. 71-84
Author(s):  
Nhu-Tung Nguyen ◽  
Dung Hoang Tien ◽  
Nguyen Tien Tung ◽  
Nguyen Duc Luan
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Tool Wear ◽  
Feed Rate ◽  
High Speed ◽  
Cutting Speed ◽  
Milling Process ◽  
Face Milling ◽  
Depth Of Cut ◽  
High Speed Milling

In this study, the influence of cutting parameters and machining time on the tool wear and surface roughness was investigated in high-speed milling process of Al6061 using face carbide inserts. Taguchi experimental matrix (L9) was chosen to design and conduct the experimental research with three input parameters (feed rate, cutting speed, and axial depth of cut). Tool wear (VB) and surface roughness (Ra) after different machining strokes (after 10, 30, and 50 machining strokes) were selected as the output parameters. In almost cases of high-speed face milling process, the most significant factor that influenced on the tool wear was cutting speed (84.94 % after 10 machining strokes, 52.13 % after 30 machining strokes, and 68.58 % after 50 machining strokes), and the most significant factors that influenced on the surface roughness were depth of cut and feed rate (70.54 % after 10 machining strokes, 43.28 % after 30 machining strokes, and 30.97 % after 50 machining strokes for depth of cut. And 22.01 % after 10 machining strokes, 44.39 % after 30 machining strokes, and 66.58 % after 50 machining strokes for feed rate). Linear regression was the most suitable regression of VB and Ra with the determination coefficients (R2) from 88.00 % to 91.99 % for VB, and from 90.24 % to 96.84 % for Ra. These regression models were successfully verified by comparison between predicted and measured results of VB and Ra. Besides, the relationship of VB, Ra, and different machining strokes was also investigated and evaluated. Tool wear, surface roughness models, and their relationship that were found in this study can be used to improve the surface quality and reduce the tool wear in the high-speed face milling of aluminum alloy Al6061

Machinability of Aluminum Nitride Ceramic Using TiAlN and TiN Coated Carbide Tool Insert

2013 ◽  
Vol 773-774 ◽  
pp. 437-447
Author(s):  
Moola Mohan Reddy ◽  
Alexander Gorin ◽  
Abou Ei Hossein A. Khaled ◽  
D. Sujan
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
End Milling ◽  
Cutting Speed ◽  
Milling Process ◽  
Work Piece ◽  
Carbide Tool ◽  
Coated Carbide ◽  
Cnc End Milling ◽  
End Milling Process

This research presents the performance of Aluminum nitride ceramic in end milling using using TiAlN and TiN coated carbide tool insert under dry machining. The surface roughness of the work piece and tool wear was analyzed in this. The design of experiments (DOE) approach using Response surface methodology was implemented to optimize the cutting parameters of a computer numerical control (CNC) end milling machine. The analysis of variance (ANOVA) was adapted to identify the most influential factors on the CNC end milling process. The mathematical predictive model developed for surface roughness and tool wear in terms of cutting speed, feed rate, and depth of cut. The cutting speed is found to be the most significant factor affecting the surface roughness of work piece and tool wear in end milling process.

Evaluation of Cryogenic CO2 as a Coolant and Optimization of Surface Roughness in Conventional Milling of HCHCR (AISI D3) Die Steel and CVD TiN Coated Insert Using Taguchi Technique

2017 ◽  
Vol 33 (1-2) ◽  
pp. 34 ◽  
Author(s):  
V. Balaji ◽  
S. Ravi ◽  
P. Naveen Chandran
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Removal Rate ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Dynamic Parameter ◽  
Work Piece ◽  
Taguchi Technique ◽  
The Impact ◽  
Aisi D3 Steel

The present investigation comprised of experimental study of conventional milling of AISI D3 Steel and Tin coated inserts by using cryogenic CO<sub>2</sub> as a coolant. The main objective of the analysis was to use the Taguchi technique to detect the impact of dynamic parameter viz. Cutting speed, feed, depth of the cut on the roughness of the work piece material. The goal was to comparatively study under dry and wet conditions and observe the effect of cryogenic CO<sub>2</sub> as a coolant with CVD TiN coated as a insert tool. Finally cutting temperature, roughness, Material Removal Rate (MRR) and tool wear were measured. Finally SEM observation was made to analyze the tool wear and the data was complied into MINITAB -17 for Taguchi analysis. Mainly surface roughness and MRR were investigated employing Taguchi design.

Tool Wear and Surface Roughness when Machining AlSi/AlN Metal Matrix Composite Using Uncoated Carbide Cutting Tool

2013 ◽  
Vol 773-774 ◽  
pp. 409-413 ◽  
Author(s):  
M.S. Said ◽  
J.A. Ghani ◽  
Che Hassan Che Haron ◽  
Shahrizan Yusoff ◽  
Mohd Asri Selamat ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Milling Process ◽  
Cutting Condition ◽  
Carbide Cutting Tool

Aluminium silicon alloy (AlSic) matrix composite reinforced with aluminium nitride (AlN) particle is a new generation material for automotive and aerospace application. This material has low density, light weight, high strength, high hardness and stiffness. Metal Matrix Composit (MMC) material is one of the advanced materials which have good future prospects. This paper presents the study of tool wear and surface roughness investigation when milling AlSi/AlN Metal Matrix Composite using uncoated carbide cutting tool. The volume of AlN reinforced particle was 10%. The milling process was carried out under dry cutting condition. The uncoated carbide insert parameters used were cutting speed of (250-750 m/min), while feed rate and depth of cut were kept constant at 0.15 mm/tooth of 0.3mm respectively. The Sometech SV-35 video microscope system and Mitutoyo surface roughness tester were used for tool wear measurements and surface roughness respectively. The results revealed that the tool wear increases with cutting speed (450 m/min). While at high cutting speed, the surface finish improves. It was found that the cutting speed of 750m/min was optimum condition for obtaining smooth finish and longer tool life. Keywords: AlSi/AlN Metal Matrix Composite milling process, tool wear, and surface roughness, uncoated cemented carbide tool

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