The impact of the tool material and the cutting parameters on surface roughness of supermet 718 nickel superalloy

2000 ◽  
Vol 97 (1-3) ◽  
pp. 10-18 ◽  
Author(s):  
S.M Darwish
Keyword(s):  
Surface Roughness ◽  
Tool Material ◽  
Cutting Parameters ◽  
Nickel Superalloy ◽  
The Impact

Hardened Steel Turning by Means of Modern CBN Cutting Tools

2013 ◽  
Vol 581 ◽  
pp. 188-193 ◽  
Author(s):  
Łukasz Ślusarczyk ◽  
Grzegorz Struzikiewicz
Keyword(s):  
Cutting Tool ◽  
Cutting Tools ◽  
Tool Material ◽  
Chip Morphology ◽  
Cutting Parameters ◽  
Hardened Steel ◽  
Cutting Depth ◽  
Cutting Rate ◽  
Steel Turning ◽  
The Impact

The paper presents an analysis of the impact of cutting parameters such as cutting rate, feed rate, cutting depth and cutting tool material grade for surface roughness, the components of the total cutting force and chip morphology. We analysed the process of rolling 145Cr steel with a hardness of 55HRC with Wiper type tools with different percentage of CBN. The results and conclusions were presented.

scholarly journals INTERACTION OF SPATIAL OSCILLATION WITH ROUGHNESS OF SURFACE WORKED BY EXAMPLE OF TURNING

2021 ◽  
Vol 2021 (1) ◽  
pp. 4-9
Author(s):  
Vladimir Schetinin ◽  
Pavel Sablin
Keyword(s):  
Surface Roughness ◽  
Cutting Parameters ◽  
Dynamic State ◽  
Working Space ◽  
A Value ◽  
Spatial Oscillation ◽  
Definition Of ◽  
Tool Cutting ◽  
The Impact ◽  
Relative Oscillation

The work purpose is to determine the impact of cutter spatial oscillation upon parameters and values of worked surface roughness, in particular, the paper is dedicated to the definition of differences in roughness parameters depending on a projecting plane in which cutter oscillation is considered. There are considered the matters of the impact of cutter spatial oscillation upon roughness of the surface worked, and also cutting parameters influencing the intensity and frequency of oscillation of cutter point oscillation. The solution of the problems specified is carried out on the basis of the analysis of data published in scientific literature and experimental data obtained in the course of investigations. The novelty of the work: it is revealed that a dynamic state of the technological system for machining which depends upon a multitude of factors has an influence not only upon a value of surface roughness, but also upon its parameter. Conclusion: surface roughness depends upon relative oscillation processes of the part under machining and a tool cutting edge in the working space caused mainly by a process of chip formation.

scholarly journals Optimizing the High-Performance Milling of Thin Aluminum Alloy Plates Using the Taguchi Method

Metals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1526
Author(s):  
Cheng-Hsien Kuo ◽  
Zi-Yi Lin
Keyword(s):  
Surface Roughness ◽  
Aluminum Alloy ◽  
Cutting Force ◽  
High Speed ◽  
Cutting Parameters ◽  
Linear Velocity ◽  
Cutting Depth ◽  
Degree Of Deformation ◽  
High Speed Milling ◽  
The Impact

Most aerospace parts are thin walled and made of aluminum or titanium alloy that is machined to the required shape and dimensions. Deformation is a common issue. Although the reduced cutting forces used in high-speed milling generate low residual stress, the problem of deformation cannot be completely resolved. In this work, we emphasized that choosing the correct cutting parameters and machining techniques could increase the cutting performance and surface quality and reduce the deformation of thin plates. In this study, a part made of a thin 6061 aluminum alloy plate was machined by high-speed milling (HSM), and a Taguchi L16 orthogonal array was used to optimize the following parameters: linear velocity, feed per tooth, cutting depth, cutting width, and toolpath. The impact of cutting parameters on the degree of deformation, surface roughness, as well as the cutting force on the thin plate were all investigated. The results showed that the experimental parameters for the optimal degree of deformation were A1 (linear velocity 450 mm/min), B1 (feed per tooth 0.06 mm/tooth), C1 (cutting depth 0.3 mm), D4 (cutting width 70%), and E4 (rough zigzag). Feed per tooth was the most significant control factor, with a contribution as high as 63.5%. It should also be mentioned that, according to the factor response of deformation, there was a lower value of feed per tooth and less deformation. Furthermore, the feed per tooth and the cutting depth decreased and the surface roughness increased. The cutting force rose or fell with an increase or decrease of cutting depth.

Study on Surface Roughness Simulation to Lathe Machining

2012 ◽  
Vol 538-541 ◽  
pp. 1373-1376
Author(s):  
Dong Xie ◽  
Min Wang
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Tool Material ◽  
Cutting Parameters ◽  
Simulation System ◽  
Cnc Machining ◽  
Machined Surface ◽  
Cutting Surface ◽  
Machined Surface Quality ◽  
The Mathematical Model

This paper presents a simulation system for the cutting surface roughness based on the feed rate, spindle speed and tool material, shape and other parameters. The reasons affecting the surface quality in machining is explained. Using classic formula and empirical data, the mathematical model of the surface roughness is built to predict surface quality of parts. The paper proposes a method of the simulation system design for the machined surface quality. The simulation results could give a guide to the choice of cutting parameters in CNC machining.

scholarly journals Research on Breakage Characteristics in Side Milling of Titanium Alloy with C emented Carbide End Mill

2021 ◽  
Author(s):  
Yanjie Du ◽  
Caixu Yue ◽  
Xiaochen Li ◽  
Xianli Liu ◽  
Steven Y. Liang
Keyword(s):  
Titanium Alloy ◽  
Crack Growth ◽  
High Speed ◽  
Damage Mechanics ◽  
Tool Material ◽  
Cutting Parameters ◽  
Impact Fracture ◽  
End Mill ◽  
Tool Damage ◽  
The Impact

Abstract Aiming at the breakage of tool and low precision of the machined surface in the high-speed milling process of titanium alloy, damage mechanics is used to reveal the formation mechanism of tool fatigue breakage during the milling and determine the critical condition of tool breakage. Cutting edge chipping caused by random impact fracture during the evolution of tool damage is the main failure form of tool fatigue breakage. Based on continuous damage mechanics, fatigue crack growth theory and sliding crack energy balance equation, the crack growth law of tool material is studied under different cutting impact, and the initial damage value and critical damage value of tool material fracture based on the interval method are obtained. And the impact fracture limit conditions of the end mill edge are established including cutting parameters, material hardness, tool damage, tool wear, and cutting impact, which provide a theoretical basis for determining the cutting parameters. A titanium alloy milling experiment is carried out to define the impact damage morphology of the tool in different states after the tool is damaged. The obtained tool safety area range is verified, and the research results provide parameter optimization for the high-speed and high-efficiency milling titanium alloy process.

Deep-Hole Single-Edge Technology Test of Rigid Reamer

2011 ◽  
Vol 120 ◽  
pp. 296-303
Author(s):  
Xing Quan Shen ◽  
Yao Ming Li ◽  
Hai Jiao Zhang
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Surface Quality ◽  
High Speed ◽  
Cutting Parameters ◽  
Deep Hole ◽  
Single Edge ◽  
High Speed Cutting ◽  
Extrusion Processing ◽  
The Impact

Single-edge rigid reaming process has high-speed cutting rigid hinge processing, auto-oriented, low surface roughness of a series of advantages. In this paper, by using of the elastic and plastic theory, we studied the effect of the force acting on the guide block extrusion on the hole wall, proposed the two different cutting states of single-edge rigid reaming processing, and analyzed the conditions of the reaming processing in the extrusion state. By the analysis of experiments, we obtained that in order to achieve the good hole processing surface quality we must make the reaming processing in the extrusion processing state, and we determined the impact of the cutting parameters on the cutting force and surface roughness.

scholarly journals Finite Element Analysis of Milling Roller-Burnishing Process on Surface Integrity for Non-Ferrous Metal

2019 ◽  
Vol 8 (4) ◽  
pp. 2726-2733
Keyword(s):  
Surface Roughness ◽  
Ferrous Metal ◽  
Tool Material ◽  
Fem Analysis ◽  
Cutting Parameters ◽  
Work Piece ◽  
Element Analysis ◽  
Roller Burnishing ◽  
Milling Operation ◽  
Burnishing Process

In today's world, large amount of attention is given to the surface roughness and surface micro hardness of the material as it's mechanical properties are greatly influenced by the surface finish. Surface Roughness is generally a measure of irregularities of the surface. It is essential to analyze the surface roughness of the material in order to avoid the failure of the material. A large number of parameters are involved analyzing the surface roughness such as type of tool, tool material, work piece material, machining operation, cutting parameters and cutting fluids. This paper aims to show that how surface roughness of the material reacts when different cutting parameters are adopted using face milling operation and how it reacts when finishing of the surface is done using roller burnishing operation experimentally and validate the results using FEM analysis using DEFORM 3D.

scholarly journals Prediction of Surface Roughness considering Cutting Parameters and Humidity Condition in End Milling of Polyamide Materials

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mustafa Bozdemir
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Processing Parameters ◽  
Average Surface Roughness ◽  
Ann Model ◽  
Average Surface ◽  
Humidity Condition ◽  
The Impact

To know the impact of processing parameters of PA6G under different humidity conditions is important as it is vulnerable to humidity up to 7 %. This study investigated the effect of cutting parameters to surface roughness quality in wet and dry conditions. Artificial Neural Network (ANN) modeling is also developed with the obtained results from the experiments. Humidity condition, tool type, cutting speed, cutting rate, and depth of cutting parameters were used as input and average surface roughness value were used as output of the ANN model. Testing results showed that ANN can be used for prediction of average surface roughness.

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