Experimental Prediction Model for Roughness in the Turning of UNS A97075 Alloys

2014 ◽  
Vol 797 ◽  
pp. 59-64 ◽  
Author(s):  
F.J. Trujillo ◽  
Mariano Marcos Bárcena ◽  
L. Sevilla
Keyword(s):  
Prediction Model ◽  
Cutting Speed ◽  
High Sensitivity ◽  
Cutting Parameters ◽  
The Other ◽  
Sensitivity To Change ◽  
Average Roughness ◽  
Machining Time ◽  
Experimental Prediction

In this work, a study of the influence of the cutting parameters on superficial quality of dry-turned UNS A97075 test bars has been carried out. The superficial quality has been evaluated trough the arithmetical average roughness,Ra. In addition, the evolution ofRaas a function of the axial machining length has been analyzed. In order to do this, a set of machining tests has been performed under different combinations of cutting speed and feed. The experimental data have revealed a high sensitivity to change ofRawith feed, whereas this sensitivity is lower with cutting speed. On the other hand, a tendency to decreaseRawith the axial machining length has been found. Finally, an experimental prediction model forRahas been developed. This model allows predicting the value ofRaas a function of the cutting parameters and the machining time.

Productivity Considerations in Face Milling

2019 ◽  
Vol 952 ◽  
pp. 66-73
Author(s):  
János Kundrák ◽  
Viktor Molnár ◽  
István Deszpoth ◽  
Tamás Makkai
Keyword(s):  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Face Milling ◽  
Manufacturing Companies ◽  
Performance Limits ◽  
Machining Time ◽  
High Productivity ◽  
Manufacturing Time

The kinematic versions and applied tools of milling allow for the machining of several surfaces and surface combinations, making it a versatile and widely applied procedure. Face milling for cutting is used for the high productivity manufacturing of prismatic components. Naturally, the enhancement of productivity is a primary goal for manufacturing companies; this study analyzes the efficiency of material removal, which directly influences the time parameters characterizing production performed by face milling. The focus of the paper is to identify the selection of technological data (feed, feed rate, cutting speed, diameter of milling head) that can reduce the machining time or increase the values of material removal rate. Cutting experiments were carried out for machining prismatic components from AlSi9Cu3(Fe) aluminum alloy by diamond tools. It was found that within the performance limits of the manufacturing system it is possible to save a significant amount of manufacturing time while retaining the specified geometric accuracy and surface quality of the component.

The Study of Bone Cutting Force with FEM

2014 ◽  
Vol 974 ◽  
pp. 389-393 ◽  
Author(s):  
Sen Liu ◽  
Dong Mei Wu ◽  
Jun Zhao
Keyword(s):  
Finite Element ◽  
Cutting Force ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Element Model ◽  
Cutting Surface ◽  
On Line ◽  
Force Velocity ◽  
Optimization Of Cutting Parameters

In orthopedic surgery, it is easy to do harm to surrounding tissues, so the study of bone cutting is necessary. In this article, a finite element model (FEM) of orthogonal bone cutting is developed. Cutting force intra-operatively can provide the surgeon with additional on-line information to support him to control quality of cutting surface. The obtained cutting force decreased little with cutting speed increasing, but ascended evidently with cutting depth increasing. The results of finite element simulations are aimed at providing optimization of cutting parameters and the basic information for hybrid force-velocity control of a robot-assisted bone milling system.

scholarly journals Surface Quality Assessment after Milling AZ91D Magnesium Alloy Using PCD Tool

Materials ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 617 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Jarosław Korpysa
Keyword(s):  
Surface Roughness ◽  
Magnesium Alloy ◽  
High Speed ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Roughness Parameters ◽  
Operational Parameters

Surface roughness is among the key indicators describing the quality of machined surfaces. Although it is an aggregate of several factors, the condition of the surface is largely determined by the type of tool and the operational parameters of machining. This study sought to examine the effect that particular machining parameters have on the quality of the surface. The investigated operation was the high-speed dry milling of a magnesium alloy with a polycrystalline diamond (PCD) cutting tool dedicated for light metal applications. Magnesium alloys have low density, and thus are commonly used in the aerospace or automotive industries. The state of the Mg surfaces was assessed using the 2D surface roughness parameters, measured on the lateral and the end face of the specimens, and the end-face 3D area roughness parameters. The description of the surfaces was complemented with the surface topography maps and the Abbott–Firestone curves of the specimens. Most 2D roughness parameters were to a limited extent affected by the changes in the cutting speed and the axial depth of cut, therefore, the results from the measurements were subjected to statistical analysis. From the data comparison, it emerged that PCD-tipped tools are resilient to changes in the cutting parameters and produce a high-quality surface finish.

Optimization of Machining Time and Surface Quality of AISI D2 Tool Steel in WEDM Using Taguchi Methodology and Desirability Analysis

2020 ◽  
Vol 977 ◽  
pp. 27-33
Author(s):  
Carmita Camposeco-Negrete ◽  
Juan de Dios Calderón-Nájera
Keyword(s):  
Surface Roughness ◽  
Tool Steel ◽  
Cutting Parameters ◽  
Machining Time ◽  
Aisi D2 ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Aisi D2 Tool Steel ◽  
Off Time

One of the non-conventional machining processes widely used in the industry is the wire electrical discharge machining (WEDM). This process has many advantages, like the great precision and quality that can be achieved. As well as other manufacturing operations, the success of the process relies on a correct selection of the cutting parameters. The present paper outlines an experimental study to optimize the machining time and the surface roughness in WEDM of AISI D2 tool steel during roughing machining. The Taguchi methodology is used to evaluate the effects and contributions of the pulse-on time, pulse-off time, servo voltage, and wire speed, on the response variables. The desirability method is employed to define a set of cutting parameters that allows reducing both machining time and surface roughness at the same time. The pulse-on time is the most significant factor for reducing the machining time, followed by the servo voltage, the pulse-off time and the wire speed. For surface roughness, the pulse-off time is the factor with the greatest influence over the response variable. The results obtained show that the machining time is reduced by 4.65%, and the surface roughness is diminished by 4.60% when compared with the initial values that are commonly used in the machining of AISI D2 tool steel. Therefore, greater production rates can be achieved without compromising the quality of the machined parts.

Laser Cutting Quality of the Ceramic Slabs

2006 ◽  
Vol 505-507 ◽  
pp. 847-852 ◽  
Author(s):  
Xu Yue Wang ◽  
Wen Ji Xu ◽  
Ren Ke Kang ◽  
Yi De Liang
Keyword(s):  
Laser Power ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Incident Laser Power ◽  
Focal Position ◽  
Geometrical Features ◽  
The Relationship ◽  
Cutting System

An experimental analysis is presented which investigates the relationship between cutting parameters and the volume of material removal as well as its cutting quality on a Nd:YAG laser cutting system. The parameters that varied on two testing thickness during cutting include cutting speed, incident laser power and focal position in a continuous through cut. Various trends of the kerf geometrical features in terms of the varying process parameters are analyzed and shown to be reasonable. Discussions are also given on kerf geometry control in situations with cutting parameters. It shows that the effects of varying parameters such as cutting speed, laser power and focal position on cutting kerf width, surface roughness, and striation that have provided a deeper understanding of the laser machining.

EVALUATION OF A REGRESSION PREDICTION MODEL FOR SURFACE ROUGHNESS OF WOOD–POLYETHYLENE COMPOSITE (WPC)

2017 ◽  
Vol 24 (Supp02) ◽  
pp. 1850033
Author(s):  
WENYONG SHI ◽  
YAN MA ◽  
CHUNMEI YANG ◽  
BIN JIANG ◽  
ZHE LI
Keyword(s):  
Surface Roughness ◽  
Surface Morphology ◽  
Prediction Model ◽  
Surface Quality ◽  
Cutting Parameters ◽  
Wood Powder ◽  
Polyethylene Composite ◽  
Milled Surface ◽  
Powder Content

Milling processing is an important way to obtain wood–polyethylene composite (WPC) end products. In order to improve the processing efficiency and surface quality of WPC and meet the practical application requirements, this paper focussed on morphology and roughness of the WPC-milled surface and studied surface quality changes under different cutting parameters and milling methods through multi-parameters milling experiments. The milling surface morphology and roughness of WPC were analyzed and measured during cut-in, cutting and cut-out sections. It also revealed the affect rule of different cutting parameters and milling methods on milled surface morphology and roughness. The results show that the milling surface roughness of WPC products with wood powder content of 70% is significantly larger than the one whose wood powder content is 60%, and defects such as holes are also relatively more. Finally, a surface roughness prediction model was established based on the mathematical regression method and its multi-factor simulation was carried out. A comparative analysis of predictive and experimental values was performed to verify the reliability of the model. It could also provide theoretical guidance and technical guarantee for high processing quality of WPC milling and cutting.

A Prediction Model of Surface Roughness in Micro End Milling

2015 ◽  
Vol 727-728 ◽  
pp. 354-357
Author(s):  
Mei Xia Yuan ◽  
Xi Bin Wang ◽  
Li Jiao ◽  
Yan Li
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
Feed Rate ◽  
End Milling ◽  
Orthogonal Experiment ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Cutting Depth ◽  
Micro End Milling

Micro-milling orthogonal experiment of micro plane was done in mesoscale. Probability statistics and multiple regression principle were used to establish the surface roughness prediction model about cutting speed, feed rate and cutting depth, and the significant test of regression equation was done. On the basis of successfully building the prediction model of surface roughness, the diagram of surface roughness and cutting parameters was intuitively built, and then the effect of the cutting speed, feed rate and cutting depth on the small structure surface roughness was obtained.

Influência do Avanço da Ferramenta e do Uso de Fluido de Corte na Rugosidade em Usinagem de Torneamento Cilíndrico Externo de Alumínio

2018 ◽  
Vol 13 (13) ◽  
pp. 13
Author(s):  
Clauber Roberto Melo Marques ◽  
Paulo Henrique Castagnel
Keyword(s):  
Mass Spectrometry ◽  
Cutting Speed ◽  
Tool Material ◽  
Chemical Characterization ◽  
Surface Characteristics ◽  
Cutting Parameters ◽  
Machining Process ◽  
Cutting Fluid ◽  
Dry Machining ◽  
Average Roughness

As características superficiais de uma peça usinada são resultantes de vários fatores, entre eles pode-se citar o material da ferramenta utilizada, geração de calor e parâmetros de corte. Este trabalho teve como objetivo principal verificar a influência do avanço da ferramenta e do uso de fluido de corte em usinagem analisando a rugosidade de superfícies de peças de alumínio usinadas por torneamento cilíndrico externo, em um equipamento CNC Romi Centur 30D com comando Siemens, variando-se a velocidade de avanço da ferramenta, assim como a usinagem a seco e com fluido de corte. Foi realizada uma análise da caracterização química por Espectrometria de Massa para identificar a constituição do material utilizado. Foi executado o processo de usinagem em 10 peças de alumínio, com velocidade de corte de 220 m/min em todos os testes, variando-se o avanço da ferramenta (0,1, 0,15, 0,2, 0,25, 0,30 mm/rot), e para cada valor de avanço diferente foi realizado um ensaio à seco e um com fluido de corte. Após a usinagem as peças foram analisadas utilizando-se um rugosímetro Mitutoyo modelo SJ-310, para medição da Rugosidade Média (Ra) resultante. Concluiu-se que para valores de avanço de ferramenta de até 0,25 mm/rot, com velocidade de corte de 220 m/min, a presença do fluido de corte na usinagem não apresentou melhoria no resultado final. Somente com avanço de 0,30 mm/rot a presença do fluido de corte se mostrou mais eficiente que a usinagem a seco.Palavras-chave: Usinagem. Alumínio. Rugosidade. AbstractThe surface characteristics of a machined part is the result of several factors, among them the tool material used, heat generation and cutting parameters. This work had as main objective the analysis of the surface roughness of aluminum parts machined by external cylindrical turning in a CNC Romi Centur 30D equipment with Siemens command, varying the speed of tool advance, as well as the dry machining and with cutting fluid. An analysis of the chemical characterization was performed by Mass Spectrometry to identify the constitution of the material used. The machining process was carried out in 10 pieces of aluminum, with a cutting speed of 220 m/min in all tests. The tool advance (0,1, 0,15, 0,2, 0,25, 0,30 mm/rot), and for each different feed rate a dry test and one with cutting fluid were performed. After machining, the parts were analyzed using a Mitutoyo model SJ-310 rugosimeter to measure the resulting Average Roughness (Ra). It was concluded that for tool feed values up to 0.25 mm/rot, with a cutting speed of 220 m/min, the presence of the cutting fluid in the machining did not show improvement in the final result. Only with an advance of 0.30 mm/rot the presence of the cutting fluid was more efficient than the dry machining. Keywords: Machining, Aluminum, Roughness.

Development of Cutting Strategy in Ultra-Precision Raster Milling of Freeform Surface

2014 ◽  
Vol 633-634 ◽  
pp. 615-619
Author(s):  
Su Juan Wang ◽  
Su Et To ◽  
Xin Chen ◽  
Jian Qun Liu
Keyword(s):  
Cutting Parameters ◽  
Integrated System ◽  
Machining Process ◽  
Freeform Surface ◽  
Machining Time ◽  
Tool Paths ◽  
Nc Program ◽  
Ultra Precision ◽  
Cutting Strategy

This paper studies the development of cutting strategy in the fabrication of freeform surface in ultra-precision raster milling (UPRM). The tasks of developing cutting strategy in freeform machining involve in the selection of cutting parameters and the planning of tool paths. An integrated system is built in this study to develop the cutting strategy, automatically generate NC program, simulate the tool paths and machining process, as well as make predictions for the machining time and the surface quality of the raster milled freeform surface. Experiment is conducted to verify the developed system and the experimental results show that the system is applicable for the machining of freeform surface in UPRM. This study therefore contributes to avoiding the need to conduct expensive and time consuming trial cutting tests to ensure the product quality in the freeform machining.

scholarly journals Surface Quality of Ti-6Al-4V Titanium Alloy Parts Machined by Laser Cutting

2020 ◽  
Vol 10 (4) ◽  
pp. 6062-6067
Author(s):  
A. Boudjemline ◽  
M. Boujelbene ◽  
E. Bayraktar
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Titanium Alloy ◽  
Laser Power ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Maximum Height ◽  
Proposed Model

This paper investigates high power CO2 laser cutting of 5mm-thick Ti-6Al-4V titanium alloy sheets, aiming to evaluate the effects of various laser cutting parameters on surface roughness. Using multiple linear regression, a mathematical model based on experimental data was proposed to predict the maximum height of the surface Sz as a function of two laser cutting parameters, namely cutting speed and assist-gas pressure. The adequacy of the proposed model was validated by Analysis Of Variance (ANOVA). Experimental data were compared with the model’s data to verify the capacity of the proposed model. The results indicated that for fixed laser power, cutting speed is the predominant cutting parameter that affects the maximum height of surface roughness.

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