scholarly journals The influence of machining parameters on surface roughness of MDF in milling operation

BioResources ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. 3266-3277
Author(s):  
Ümmü K. İşleyen ◽  
Mehmet Karamanoğlu
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Medium Density Fiberboard ◽  
Spindle Speed ◽  
Numerical Control ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Milling Operation ◽  
Four Levels ◽  
Tool Diameter

This paper examined the effect of machining parameters on surface roughness of medium density fiberboard (MDF) machined using a computer numerical control (CNC) router. The machining parameters such as spindle speed, feed rate, depth of cut, and tool diameter were examined for milling. The experiments were conducted at two levels of spindle speeds, four levels of feed rates, two levels of tool diameters, and two levels of axial depths of cut. The surface roughness values of MDF grooved by CNC were measured with stylus-type equipment. Statistical methods were used to determine the effectiveness of the machining parameters on surface roughness. The influence of each milling parameter affecting surface roughness was analyzed using analysis of variance (ANOVA). The significant machining parameters affecting the surface roughness were the feed rate, spindle speed, and tool diameter (p < 0.05). There was no significant influence of axial depth of cut on the surface roughness. The surface roughness decreased with increasing spindle speed and decreasing feed rate. The value of surface roughness increased with the increase of tool diameter.

Rapid and Versatile Micromold Fabrication Using Micromilling and Nanopolishing for Microfluidic Devices

2019 ◽  
Author(s):  
Thanh-Qua Nguyen ◽  
Jeongmin Mah ◽  
Woo-Tae Park ◽  
Sangyoup Lee
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
High Surface ◽  
Spindle Speed ◽  
Numerical Control ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Cnc Milling ◽  
Tool Marks ◽  
Mold Fabrication

Abstract In an effort to make microfluidic research more attractive and cost-effective, micromilled polymethyl methacrylate (PMMA) has gained interests as an alternative method to the conventional cleanroom-based micromolds fabrication technologies. The most enabling aspects of micromilling are flexibility on the design changes and the ability to fabricate three-dimensional structures. However, the major drawback of micromilling based micromold fabrication is the presence of burrs and tool marks on the surface after machining. High surface roughness on replicated polymer results in poor bonding strength and optical clarity. The roughness of micromilled surface strongly depends on the machining parameters such as tool size, spindle speed, feed rate, width of cut, and depth of cut. Thus, it is crucial to optimize the machining parameters to obtain a good surface finish. Although the optimal fabrication parameters are used to machine the micromold, the surface roughness of micromilled mold is still relative high compared to the surface of unprocessed PMMA. In this paper, we first optimize the micromilling parameters of Computer Numerical Control (CNC) milling machine to achieve the best possible of surface roughness. We have optimized the machining parameters for a flat endmill with 100 μm, 200 μm, and 400 μm in diameter of spindle speed, feed rate, width of cut, and the depth of cut respectively at 18000 rpm, 20 mm/min, 30 μm, and 20 μm. Then, a method to polish the structured surface of the micromilled mold was developed using the rotary magnetic field. By modifying the CNC program language G-code, we were able to control the polishing path, polishing force and time precisely. Consequently, the burrs and tool marks are completely removed, such that the roughness of the surface is decreased from 350 nm Ra to 30 nm Ra, and 1200 nm Rz to 300 nm Rz while the profile of microstructures is not deteriorated. Finally, we demonstrate our mold fabrication scheme by building a microfluidic immunoassay device with four Quake’s valves and showed the sequential assay process successfully.

scholarly journals EFFECT OF MINIMUM QUANTITY LUBRICATION ON SURFACE ROUGHNESS IN TOOL-BASED MICROMILLING

2017 ◽  
Vol 18 (1) ◽  
pp. 147-154
Author(s):  
Mohammad Yeakub Ali ◽  
Wan Norsyazila Jailani ◽  
Mohamed Rahman ◽  
Muhammad Hasibul Hasan ◽  
Asfana Banu
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Spindle Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Microfluidic Channels ◽  
Machining Parameters ◽  
Machining Processes ◽  
Dry Cutting ◽  
Minimum Quantity

Cutting fluid plays an important role in machining processes to achieve dimensional accuracy in reducing tool wear and improving the tool life. Conventional flood cooling method in machining processes is not cost effective and consumption of huge amount of cutting fluids is not healthy and environmental friendly. In micromachining, flood cooling is not recommended to avoid possible damage of the microstructures. Therefore, one of the alternatives to overcome the environmental issues to use minimum quantity of lubrication (MQL) in machining process. MQL is eco-friendly and has economical advantage on manufacturing cost. However, there observed lack of study on MQL in improving machined surface roughness in micromilling. Study of the effects of MQL on surface roughness should be carried out because surface roughness is one of the important issues in micromachined parts such as microfluidic channels. This paper investigates and compares surface roughness with the presence of MQL and dry cutting in micromilling of aluminium alloy 1100 using DT-110 milling machine. The relationship among depth of cut, feed rate, and spindle speed on surface roughness is also analyzed. All three machining parameters identified as significant for surface roughness with dry cutting which are depth of cut, feed rate, and spindle speed. For surface roughness with MQL, it is found that spindle speed did not give much influence on surface roughness. The presence of MQL provides a better surface roughness by decreasing the friction between tool and workpiece.

scholarly journals Surface roughness of thermally treated wood cut with different parameters in CNC router machine

BioResources ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 5133-5147
Author(s):  
Hüseyin Pelit ◽  
Mustafa Korkmaz ◽  
Mehmet Budakçı
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Treatment Temperature ◽  
Spindle Speed ◽  
Numerical Control ◽  
Machining Parameters ◽  
End Mill ◽  
Cnc Machine ◽  
Cnc Router ◽  
Thermally Treated

The effects of different machining parameters on surface roughness values of thermally treated pine, beech, and linden woods cut in a computer numerical control (CNC) router machine were examined. Wood specimens were thermally treated at 170, 190, and 210 °C for 2 h. Then, specimens were cut in the radial and tangential directions with three different spindle speeds (12000, 15000, and 18000 rpm) and three different feed rates (3000, 4000, and 6000 mm/min) using two different end mill tools (spiral and straight) on the CNC machine. The end mill type significantly affected the roughness values of the untreated and thermally treated specimens in both directions. Lower roughness values were found in the specimens (especially pine) machined with the straight end mill compared to those machined with the spiral end mill. Roughness generally decreased in the thermally treated specimens. However, thermal treatment temperature did not have a notable effect on roughness. As the spindle speed increased, the roughness values of all specimens decreased. In contrast, as the feed rate increased, the roughness values increased. Therefore, the end mill type, feed rate, and spindle speed were the most influential parameters on the roughness.

Study on Surface Roughness in Minimum Quantity Lubrication Turning of Al-6082/SiC Metal Matrix Composites

2019 ◽  
Vol 895 ◽  
pp. 127-133 ◽  
Author(s):  
C.J. Vishwas ◽  
M. Naik Gajanan ◽  
B. Sachin ◽  
Roy Abhinaba ◽  
N.P. Puneet ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composites ◽  
Feed Rate ◽  
Metal Matrix ◽  
Minimum Quantity Lubrication ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Matrix Composites ◽  
Minimum Quantity

Aluminum-based metal matrix composites (MMCs) have been suggested due to intense interest from automobile, marine, aerospace and other structural applications owing to their balanced mechanical, physical and chemical properties. MMCs are manufactured in order to meet present demand such as low material density, high mechanical strength and higher wear resistance of the component. Generally,MMCs tend to form rougher surface during machining because of the abrasive nature of hard ceramic particles present in them. Stir casting technique was used for fabrication of this composite which ensures better homogeneity.Furthermore, an attempt has been made in this paper to examine the results on the surface roughness of Al-6082/SiC metal matrix composites (containing 0%, 5% and 10% SiC particles).Focus was spent on parametric optimization of these composites in order to achieve cost-effective machining limits. The machining parameter studies have been carried out through the design of experiments (DoE) under minimum quantity lubrication (MQL) condition and effect of machining parameters such as spindle speed, feed rate and depth of cut on surface roughness was investigated to analyze the influence of reinforcement on surface roughness. In addition, analysis of variance was studied to obtain percentage contribution of machining parameters involved. Also, the surface morphology of the machined surface was studied through a scanning electron microscope (SEM). Distribution of SiC in aluminum alloy is fairly uniform with few clusters. Results of the experiments revealed that most significant turning parameter for surface roughness was spindle speed followed by feed rate and depth of cut. Furthermore, an optimal setting parameter for getting lower surface roughness was presented in confirmation table.

Evaluation of Face Milling Operation Parameters on Surface Roughness of Crankcase Housing by Two Level Factorial Design with Center Points

2018 ◽  
Vol 780 ◽  
pp. 105-110
Author(s):  
Ukrit Thanasuptawee ◽  
Chamrat Thakhamwang ◽  
Somsak Siwadamrongpong
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Milling Process ◽  
Face Milling ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Significance Level ◽  
Machining Center ◽  
Semi Solid

In this study, there are three machining parameters consist of spindle speed, feed rate and depth of cut which were conducted through full factorial with four center points to determine the effect of machining parameters on the surface roughness and verify whether there is curvature in the model for CNC face milling process in an automotive components manufacturer in Thailand. The workpieces used semi-solid die casted ADC12 aluminum alloy crankcase housing which they were performed by the ARES SEIKI model R5630 3-axis CNC vertical machining center and face milling cutter with diameter of 63 millimeters. The surface roughness of face-milled was measured by the surface roughness tester. It was found that the greatest main effect influence to surface roughness was spindle speed, followed by feed rate and depth of cut at significance level of 0.05.

scholarly journals Investigation the Optimization of Machining Parameters to Surface Roughness in Free Form Surface of Composite Material

2019 ◽  
Vol 15 (2) ◽  
pp. 60-69
Author(s):  
Reem S. Kazaal ◽  
Wisam K. Hamdan
Keyword(s):  
Surface Roughness ◽  
Composite Material ◽  
Feed Rate ◽  
Spindle Speed ◽  
Free Form ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Side Milling ◽  
Vertical Milling Machine ◽  
Free Form Surface

The aim of this research is to investigation the optimization of the machining parameters (spindle speed, feed rate, depth of cut, diameter of cutter and number of flutes of cutter) of surface roughness for free-form surface of composite material (Aluminum 6061 reinforced boron carbide) by using HSS uncoated flat end mill cutters which are rare use of the free-form surface. Side milling (profile) is the method used in this study by CNC vertical milling machine. The purpose of using ANFIS to obtain the better prediction of surface roughness values and decreased of the error prediction value and get optimum machining parameters by using Taguchi method for the best surface roughness at spindle speed 4500 r.p.m, 920mm/rev feed rate, 0.6mm depth of cut, 10mm diameter, 2 flute.

scholarly journals Study The Effect of Process Parameters of CNC Milling Surface Generation Using Al-alloy 7024

2019 ◽  
Vol 12 (3) ◽  
pp. 103-112
Author(s):  
Nareen Hafidh Obaeed
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Surface Finish ◽  
Feed Rate ◽  
Spindle Speed ◽  
Surface Generation ◽  
Depth Of Cut ◽  
Al Alloy ◽  
Cnc Milling ◽  
Tool Diameter

A wonderful unique research developments in modeling surface roughness and optimization of the predominant parameters to get a surface finish of desired level since only suitable selection of cutting parameters can get a better surface finish, so the objective of this work is to study the milling process parameters which include tool diameter, feed rate, spindle speed, and depth of cut resulting in optimal values of the surface roughness during machining AL-alloy 7024. The machining operation implemented on XK7124 3-axis CNC milling machine. The effects of the selected parameters on the chosen characteristics have been accomplished using Taguchi’s parameter design approach. The parameters considered are – depth of cut with two levels (0.2, 0.5 mm), tool diameter with two levels (6, 8 mm), spindle speed with two levels (1000, 2500 rpm), and finally feed rate with two levels (200, 500 mm/min). Analysis of the results showed that the optimal settings for low values of surface roughness are large tool diameter (8 mm), high spindle speed (2500 r.p.m), low feed rate (200 mm/min) and high depth of cut (0.5 mm). Response Table for mean of surface roughness showed that tool diameter has the most effected factors (rank one) followed by feed rate (rank two) then depth of cut which is the third effected factors and finally spindle speed with the less effected factors of surface roughness (rank four).

Experimental Investigation of Effects of Machining Parameters on Surface Roughness and Chip Formation of Aluminum Alloys by Face Turning

2015 ◽  
Vol 799-800 ◽  
pp. 299-306
Author(s):  
Meshack Olygen Kusimba ◽  
Seong Joo Choi
Keyword(s):  
Surface Roughness ◽  
Chip Formation ◽  
Feed Rate ◽  
Aluminium Alloys ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Atomic Force ◽  
Roughness Analysis ◽  
The Face

This paper investigates the effect of process parameters on surface roughness and chips formation in face turning of aluminium A2025 alloy international standard or A3035 alloy Korean standard using conventional lathe. The parameters namely the spindle speed, depth of cut and feed rate are varied to study their effect on surface roughness and chip characteristics. The experiments are conducted with all possible combination of factors in order to get the influence of every factor. The study reveals that the surface roughness is directly influenced by the spindle speed, depth of cut and feed rate. It is observed that the surface roughness increases with increased feed rate and depth of cut and is higher atlower speeds. The surface roughness analysis was done by atomic force microscope (AFM).The chips formed were continuous but varied in size and shape basing on the machining parameters. The depth of cut has no significant influence on the chips formation. The results shown here shows the ability of face turning method to test the surface roughness and chip formation on aluminium alloys. The face turning method used is simple and effective.

Investigation on Surface Roughness of Drilled Holes in Nanoparticle Filled Polymer Matrix Composites

2021 ◽  
Vol 105 ◽  
pp. 68-76
Author(s):  
R. Pramod ◽  
S. Basavarajappa ◽  
G.B. Veeresh Kumar
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Polymer Matrix Composites ◽  
Spindle Speed ◽  
Machining Parameters ◽  
Matrix Composites ◽  
The Matrix ◽  
Experimental Values ◽  
Tool Diameter ◽  
Drill Tool

The utilization of nanoparticle filled composite materials in many different engineering fields has undergone a tremendous increase. Accordingly, the need for accurate machining of composites has increased enormously. In the present study, an attempt has been made to assess the factors influencing surface roughness on the machining of nanocomposites and base composites. The Taguchi L16 experimental design concept has been used for experimentation. The drilling experiments were conducted considering spindle speed, drill tool diameter, and feed rate as machining parameters. The empirical model was developed based on the input parameters. Analysis of Variance (ANOVA) established the relation between predicted and experimental values. The regression model was found to be within the level of confidence with greater accuracy indicated by R2 value. The addition of Nanoclay and Graphene as fillers in the matrix improved the surface roughness of the hole. Feed rate and spindle speed were found to be the significant factors of machining and Graphene reinforced composites had better surface finish.

Analysis of Machining Parameters in Turning Operation on Duplex 2205 by using RSM for Vehicle Structure

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
V. Vijayan ◽  
B. Sureshkumar ◽  
G. Sathishkumar ◽  
R. Yokeshwaran
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Removal Rate ◽  
Spindle Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Turning Operation ◽  
Feed Force ◽  
Cylindrical Parts

Turning is the machining process carried out to make cylindrical parts. Since the process is economical and the flexibility of turning operation is high, the process has become highly versatile among the industrial scenario. The design of experiments concept along with response surface methodology is used to analyze the machining parameters such as spindle seed, feed rate and depth of cut, of the turning operation. Three levels of spindle speed, feed rate and depth of cut are used as input parameters and their corresponding responses such as material removal rate (M.R.R), surface roughness, feed force, thrust force and cutting force are considered as the output parameters. The main aim of this experimentation process is to identify the optimal process parameters to get high M R R and low surface roughness. During high spindle speed, the M R R is high and vice versa. Surface roughness is high when its corresponding spindle speed and depth of cut is high. A high spindle speed, the chip formation is continuous whereas in medium speed, discontinuous chip is formed. M.R.R is high when spindle speed, depth of cut and feed rate are high.

Sign in / Sign up

Export Citation Format

Share Document