EFFECTS OF PCD TOOL GEOMETRY ON SURFACE ROUGHNESS OF COMPOSITE IN TURNING OPERATION WITH MAXIMUM DESIRABILITY AND MINIMUM FLANK WEAR

2017 ◽  
Vol 7 (2) ◽  
pp. 7
Author(s):  
DWIVEDI SHASHI PRAKASH ◽  
SHARMA SATPAL ◽  
MISHRA R.K. ◽  
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◽  
...  
Keyword(s):  
Surface Roughness ◽  
Flank Wear ◽  
Tool Geometry ◽  
Turning Operation ◽  
Pcd Tool

Surface roughness prediction based on the correlation between surface roughness and cutting vibrations in dry turning with TiN-coated carbide tools

2009 ◽  
Vol 223 (9) ◽  
pp. 1193-1205 ◽  
Author(s):  
D R Salgado ◽  
I Cambero ◽  
A Marcelo ◽  
F J Alonso
Keyword(s):  
Surface Roughness ◽  
Flank Wear ◽  
Singular Spectrum Analysis ◽  
Principal Component ◽  
Tool Geometry ◽  
Signal Processing Technique ◽  
Tool Flank Wear ◽  
Surface Roughness Prediction ◽  
Roughness Prediction ◽  
Coated Carbide

This paper presents an approach to improving surface roughness prediction that is based on analysing cutting tool vibrations by a novel signal processing technique known as singular spectrum analysis (SSA). Each eigenvalue of the SSA decomposition of each vibration (radial, tangential, and feed vibration) and its corresponding principal component are studied and analysed to select only those eigenvalues of each vibration signal decomposition that contain valuable information for the development of a surface roughness prediction system (SRPS). Also, the influence of tool geometry and tool flank wear on the SSA decomposition of the vibrations is studied. Finally, only the information most correlated with surface quality, extracted by means of SSA of each vibration, is used to develop an SRPS. Experimental results provide conclusive support for the proposed SRPS, and justify the use of the SSA technique in the design of these systems. The ability of the SSA technique to extract only the information correlated with surface roughness of each cutting vibration and the manner in which tool geometry and tool flank wear influence the final Ra constitute the main contributions of this work.

Experimental Study on Turning Nickel-Based Superalloy GH4033 with Coated Cemented Carbide Tools

2014 ◽  
Vol 800-801 ◽  
pp. 191-196
Author(s):  
Bin Zhao ◽  
Han Lian Liu ◽  
Chuan Zhen Huang ◽  
Bin Zou ◽  
Hong Tao Zhu
Keyword(s):  
Surface Roughness ◽  
Tool Life ◽  
Failure Modes ◽  
Flank Wear ◽  
Cutting Performance ◽  
Cemented Carbide ◽  
Nickel Based Superalloy ◽  
Coated Tool ◽  
Optimal Cutting Parameters ◽  
Coated Cemented Carbide

The nickel-based superalloy GH4033 is one of the difficult-to-cut materials. In order to investigate the machinability of GH4033, the tool cutting performance, tool failure modes, tool life and the relationships between surface roughness and tool flank wear were studied by using different coated cemented carbide cutting tools under dry cutting. Aiming at the amount of metal removal combining with the tool life and surface quality, the better cutting tool coating type and optimal cutting parameters were obtained through the orthogonal experiments. The results showed that the cutting performance of TiCN coated tool (GC4235) was better than that of TiAlN coated tool (JC450V). With these two kinds of tools, the machined surface roughness decreased to a minimum value and then increased with the increase of flank wear. When cutting GH4033, the main wear mechanism for both of the two types of tools included adhesive wear, diffusive wear, abrasive wear, edge wear and coating peeling.

Surface Roughness and Cutting Force Components Evaluation in Hard Turning by Differently Shaped Cutting Tools

2016 ◽  
Vol 862 ◽  
pp. 26-32 ◽  
Author(s):  
Michaela Samardžiová
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Hard Turning ◽  
Cutting Tool ◽  
Single Point ◽  
Machining Process ◽  
Tool Geometry ◽  
Machined Surface ◽  
Cutting Force Components ◽  
Force Components

There is a difference in machining by the cutting tool with defined geometry and undefined geometry. That is one of the reasons of implementation of hard turning into the machining process. In current manufacturing processes is hard turning many times used as a fine finish operation. It has many advantages – machining by single point cutting tool, high productivity, flexibility, ability to produce parts with complex shapes at one clamping. Very important is to solve machined surface quality. There is a possibility to use wiper geometry in hard turning process to achieve 3 – 4 times lower surface roughness values. Cutting parameters influence cutting process as well as cutting tool geometry. It is necessary to take into consideration cutting force components as well. Issue of the use of wiper geometry has been still insufficiently researched.

Effect of Cutting Parameters on Surface Roughness in Turning of Bone

2013 ◽  
Vol 845 ◽  
pp. 708-712 ◽  
Author(s):  
P.Y.M. Wibowo Ndaruhadi ◽  
S. Sharif ◽  
M.Y. Noordin ◽  
Denni Kurniawan
Keyword(s):  
Surface Roughness ◽  
Bone Tissue ◽  
Influencing Factor ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Cutting Conditions ◽  
Machining Process ◽  
Turning Operation ◽  
Cutting Direction

Surface roughness indicates the damage of the bone tissue due to bone machining process. Aiming at inducing the least damage, this study evaluates the effect of some cutting conditions to the surface roughness of machined bone. In the turning operation performed, the variables are cutting speed (26 and 45 m/min), feed (0.05 and 0.09 mm/rev), tool type (coated and uncoated), and cutting direction (longitudinal and transversal). It was found that feed did not significantly influence surface roughness. Among the influencing factor, the rank is tool type, cutting speed, and cutting direction.

Modeling and Analysis of Surface Roughness with Statistical and Soft Computing Approach

2021 ◽  
Vol 106 ◽  
pp. 109-115
Author(s):  
L.B. Abhang ◽  
M. Hameedullah
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Prediction Models ◽  
Tool Geometry ◽  
Modeling And Analysis ◽  
Empirical Prediction ◽  
Lathe Machine ◽  
Carbide Inserts ◽  
Computing Approach

The objective of this study focuses on developing empirical prediction models using response regression analysis and fuzzy-logic. These models latter can be used to predict surface roughness according to technological variables. The values of surface roughness produced by these models are compared with experimental results. Experimental investigation has been carried out by using scientific composite factorial design on precision lathe machine with tungsten carbide inserts. Surface roughness measured at end of each experimental trial (three times), to get the effect of machining conditions and tool geometry on the surface finish values. Research showed that soft computing fuzzy logic model developed produces smaller error and has satisfactory results as compared to response regression model during machining.

Surface Roughness Optimization in Turning Operation Using Hybrid Algorithm of Artificial Bee Colony with RSM

2015 ◽  
Vol 1101 ◽  
pp. 393-396
Author(s):  
Mohammad Ahsan Habib ◽  
Md. Anayet U. Patwari ◽  
Koushik Alam Khan ◽  
A.N.M. Amanullah Tomal
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Artificial Bee Colony ◽  
Removal Rate ◽  
Machining Parameters ◽  
Turning Operation ◽  
Bee Colony ◽  
Optimal Value ◽  
Intelligent Behavior ◽  
Desirability Analysis

For cost reduction and quality improvement of machining products, optimum output machining parameters such as material removal rate, tool wear ratio and surface roughness is very essential. Moreover, these output parameters are strongly depends on the precision of the machine tool as well as the input machining parameters. In this paper, a hybrid model of Artificial Bee Colony (ABC), which is motivated by the intelligent behavior of honey bees with Response Surface Methodology (RSM), has been developed for optimizing the surface roughness of stainless steel during turning operation. The predicted optimal value of surface roughness of stainless steel is further confirmed by conducting supplementary experiments. Finally, the performance of this algorithm is evaluated in comparison with desirability analysis. The performance of ABC is at par with that of desirability analysis for different parametric conditions.

scholarly journals Technics Research on Polycrystalline Cubic Boron Nitride Cutting Tools Dry Turning Ti-6AL-4V Alloy Based on Orthogonal Experimental Design

2018 ◽  
Vol 142 ◽  
pp. 03002
Author(s):  
Yunhai Jia ◽  
Lixin Zhu
Keyword(s):  
Surface Roughness ◽  
Experimental Design ◽  
Boron Nitride ◽  
Feed Rate ◽  
Flank Wear ◽  
Cubic Boron Nitride ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Orthogonal Experimental Design ◽  
Polycrystalline Cubic Boron Nitride

Ti-6Al-4V components are the most widely used titanium alloy products not only in the aerospace industry, but also for bio-medical applications. The machine-ability of titanium alloys is impaired by their high temperature chemical reactivity, low thermal conductivity and low modulus of elasticity. Polycrystalline cubic boron nitride represents a substitute tool material for turning titanium alloys due to its high hardness, wear resistance, thermal stability and hot red hardness. For determination of suitable cutting parameters in dry turning Ti-6AL-4V alloy by Polycrystalline cubic boron nitride cutting tools, the samples, 300mm in length and 100mm in diameter, were dry machined in a lathe. The turning suitable parameters, such as cutting speed, feed rate and cut depth were determined according to workpieces surface roughness and tools flank wear based on orthogonal experimental design. The experiment showed that the cutting speed in the range of 160~180 m/min, the feed rate is 0.15 mm/rev and the depth of cut is 0.20mm, ideal workpiece surface roughness and little cutting tools flank wear can be obtained.

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