scholarly journals OPTIMASI PARAMETER PERMESINAN TERHADAP WAKTU PROSES PADA PEMROGRAMAN CNC MILLING DENGAN BERBASIS CAD/CAM

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
I G.N.K. Yudhyadi ◽  
Tri Rachmanto ◽  
Adnan Dedy Ramadan
Keyword(s):  
Cutting Speed ◽  
Operation Time ◽  
Milling Process ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Milling Machine ◽  
Cnc Milling ◽  
Cnc Milling Machine ◽  
Machining Parameter

Milling process is one of many machining processes for manufacturing component. The length of time in the process of milling machining is influenced by selection and design of machining parameters including cutting speed, feedrate and depth of cut. The purpose of this study to know the influence of cutting speed, feedrate and depth of cut as independent variables versus operation time at CNC milling process as dependent variables. Each independent variable consists of three level of factors; low, medium and high.Time machining process is measured from operation time simulation program, feed cut length and rapid traverse length. The results of statistically from software simulation MasterCam X Milling, then do comparison to CNC Milling machine.  The data from experiments was statistical analyzed by Anova and Regression methods by software minitab 16.Results show that the greater feedrate and depth of cut shorten the operation time of machinery, whereas cutting speed is not significant influence. Depth of cut has the most highly contribution with the value of 49.56%, followed by feedrate 43% and cutting speed 0.92%. Optimal time of machining process total is 71.92 minutes, with machining parameter on the condition cutting speed is 75360 mm/minutes, feedrate is 800 mm/minutes and depth of cut = 1 mm. Results of comparison time machining process in software Mastercam X milling with CNC Milling machine indicates there is difference not significant with the value of 0,35%.

Optimizing the Machining Parameters in Glass Grinding Operation on the CNC Milling Machine for Best Surface Roughness

2010 ◽  
Vol 154-155 ◽  
pp. 721-726 ◽  
Author(s):  
Mohd Sayuti ◽  
Ahmed Aly Diaa Mohammed Sarhan ◽  
Mohd Hamdi Bin Abd Shukor
Keyword(s):  
Surface Roughness ◽  
Machining Process ◽  
Depth Of Cut ◽  
Response Analysis ◽  
Machining Parameters ◽  
Milling Machine ◽  
Cnc Milling ◽  
Cnc Machine ◽  
Cnc Milling Machine ◽  
Tool Diameter

Glass is one of the most difficult materials to be machined due to its brittle nature and unique structure such that the fracture is often occurred during machining and the surface finish produced is often poor. CNC milling machine is possible to be used with several parameters making the machining process on the glass special compared to other machining process. However, the application of grinding process on the CNC milling machine would be an ideal solution in generating special products with good surface roughness. This paper studies how to optimize the different machining parameters in glass grinding operation on CNC machine seeking for best surface roughness. These parameters include the spindle speed, feed rate, depth of cut, lubrication mode, tool type, tool diameter and tool wear. To optimize these machining parameters in which the most significant parameters affecting the surface roughness can be identified, Taguchi optimization method is used with the orthogonal array of L8(26). However, to obtain the most optimum parameters for best surface roughness, the signal to noise (S/N) response analysis and Pareto analysis of variance (ANOVA) methods are implemented. Finally, the confirmation test is carried out to investigate the improvement of the optimization. The results showed an improvement of 8.91 % in the measured surface roughness.

Cutting forces analysis of micro-milling process on Inconel 718 – a finite element approach

2020 ◽  
Vol 11 (02) ◽  
pp. 2050011
Author(s):  
Padmaja Tripathy ◽  
Kalipada Maity
Keyword(s):  
Finite Element ◽  
Cutting Forces ◽  
Inconel 718 ◽  
Cutting Speed ◽  
Fem Analysis ◽  
Milling Process ◽  
Machining Process ◽  
Micro Milling ◽  
Depth Of Cut ◽  
Machining Parameters

This paper presents a modeling and simulation of micro-milling process with finite element modeling (FEM) analysis to predict cutting forces. The micro-milling of Inconel 718 is conducted using high-speed steel (HSS) micro-end mill cutter of 1mm diameter. The machining parameters considered for simulation are feed rate, cutting speed and depth of cut which are varied at three levels. The FEM analysis of machining process is divided into three parts, i.e., pre-processer, simulation and post-processor. In pre-processor, the input data are provided for simulation. The machining process is further simulated with the pre-processor data. For data extraction and viewing the simulated results, post-processor is used. A set of experiments are conducted for validation of simulated process. The simulated and experimental results are compared and the results are found to be having a good agreement.

scholarly journals Effect of feed rate and depth of cut on face milling process on surface roughness of Al-Mg alloy using CNC milling machine 3 axis

2021 ◽  
Vol 3 (11) ◽  
pp. 11-18
Author(s):  
Rachmawati Achadiah ◽  
Putu Hadi Setyarini ◽  
Mas Ayu Pambayoen ◽  
Irfan H. Djunaidi ◽  
Dan Sti Azizah
Keyword(s):  
Surface Roughness ◽  
Control System ◽  
Feed Rate ◽  
Milling Process ◽  
Face Milling ◽  
Depth Of Cut ◽  
Rate Variation ◽  
Milling Machine ◽  
Cnc Milling ◽  
Cnc Milling Machine

The purpose of this study was to determine the effect of feed rate and depth of cut on the surface roughness of Al-Mg aluminum using a DIY CNC Milling Machine and Krisbow Universal Milling Machine as a comparison. The open-loop control system is a control system used in the design of DIY CNC Milling machines. A PC with Mach3 software is used as a PC Based Direct Digital Controller to control the system. In this study, the feed rate variation 24 mm/minute and 42 mm/minute and depth of cut 0.25 mm, 0.5 mm, and 0.75 mm were used. After the face milling process, the surface roughness test was carried out using the Mitoyo Surface Roughness Tester to determine the level of surface roughness of the machining results the DIY Milling Machine and Krisbow Universal Milling Machine as a comparison. The results showed that as the feed rate and depth of cut increased, the surface roughness values of both tools increased.

scholarly journals OPTIMATION PARAMETERS OF CNC MILLING PROGRAMMING MACHINE ON THE PROCESS TIME AND ITS EFFECT ON THE EFFICIENCY

2019 ◽  
Vol 3 (2) ◽  
pp. 62 ◽  
Author(s):  
Lydia Anggraini ◽  
Ivan Junixsen
Keyword(s):  
Feed Rate ◽  
Processing Time ◽  
Operation Time ◽  
Machining Process ◽  
Process Time ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Cnc Milling ◽  
Optimal Processing ◽  
Optimization Parameters

The problems revealed in this research is about Optimization parameters of CNC milling programing machine on the process time and its effect on the efficiency. The purpose of this research are to know the effect of feed rate, depth of cut, and maximum stepdown on processing time in CNC milling programming and searching for the best machining parameters that yield optimal processing time on CNC milling programming. The result can be in the simulation of machining distance or operation time, length of feed step or feed cut length, and length of step without feeding or fast traverse length. Experiment result data is used for see the influence, and contribution of each parameter to the machining process time, also the contribution of the optimized parameters for each process that makes the CNC milling machining process time, and cost will be more efficient.

Application of Taguchi and Response Surface Methodologies for Surface Roughness in Rotary Tool Polishing Hardness Mould Steels

2011 ◽  
Vol 87 ◽  
pp. 82-89
Author(s):  
Potejanasak Potejana ◽  
Chakthong Thongchattu
Keyword(s):  
Surface Roughness ◽  
Response Surface ◽  
Laser Scanning ◽  
Cutting Speed ◽  
Optimal Level ◽  
Confocal Laser ◽  
Milling Machine ◽  
Cnc Milling ◽  
Polishing Process ◽  
Cnc Milling Machine

This research proposes a new application of 3-axis CNC milling machine for polishing the 60 HRC hardness steels. The rotary polishing tools are designed by refer to the end-mill ball nose’s design. The diamond powder are coated in rotary polishing tools by resinoid bonding method and concentrated in 4.4 karat/cm2. The Zig-milling tool paths are used to polish the hardness steel. After polishing, the confocal laser scanning microscope is used to analyze the arithmetic mean surface roughness of the hardness steels. The L12 orthogonal array of the Taguchi’s method is selected to conduct the matrix experiment to determine the optimal polishing process parameters. The diamond grit size and cutting speed of the rotary polishing tools, feed rate and step over of the tool path, the depth of polishing process penetration, and polishing time are used to study. The combination of the optimal level for each factor of the hardness steel polishing process are used to study again in the confirmation experiment. The predicted signal to noise ratio of smaller - the better under optimal condition are calculated by using the data from the experiment. The combination of the optimal level for each factor are used to study again in the confirmation experiment and the result show that polishing time was a dominant parameter for the surface roughness and the next was depth of penetration. The response surface design is then used to build the relationship between the input parameters and output responses. The experimental results show that the integrated approach does indeed find the optimal parameters that result in very good output responses in the rotary polishing tools polished hardness mould steel using CNC milling machine. The mean surface roughness of hardness steel polishing process is improved by the diamond rotary tools with the 3-axis CNC milling machine.

Modeling & Analysis of End Milling Process Parameters Using Artificial Neural Networks

2014 ◽  
Vol 592-594 ◽  
pp. 2733-2737 ◽  
Author(s):  
G. Harinath Gowd ◽  
K. Divya Theja ◽  
Peyyala Rayudu ◽  
M. Venugopal Goud ◽  
M .Subba Roa
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Parameters ◽  
End Milling ◽  
Milling Process ◽  
Machining Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Artificial Neural ◽  
End Milling Process

For modeling and optimizing the process parameters of manufacturing problems in the present days, numerical and Artificial Neural Networks (ANN) methods are widely using. In manufacturing environments, main focus is given to the finding of Optimum machining parameters. Therefore the present research is aimed at finding the optimal process parameters for End milling process. The End milling process is a widely used machining process because it is used for the rough and finish machining of many features such as slots, pockets, peripheries and faces of components. The present work involves the estimation of optimal values of the process variables like, speed, feed and depth of cut, whereas the metal removal rate (MRR) and tool wear resistance were taken as the output .Experimental design is planned using DOE. Optimum machining parameters for End milling process were found out using ANN and compared to the experimental results. The obtained results provβed the ability of ANN method for End milling process modeling and optimization.

Study on Intelligent Control of Milling Process Based on MATLAB

2011 ◽  
Vol 328-330 ◽  
pp. 1759-1762
Author(s):  
Xing Yu Lai ◽  
Chun Yan Yan ◽  
Bang Yan Ye ◽  
Wei Guang Li
Keyword(s):  
Intelligent Control ◽  
Milling Process ◽  
Depth Of Cut ◽  
Cnc Machine Tool ◽  
Cnc Milling ◽  
Cnc Machine ◽  
Experimental Platform ◽  
Simulink Model ◽  
Cnc Milling Machine ◽  
Constant Cutting Force

In order to achieve the intelligent control of milling process, an experimental platform is constructed in XK5140 CNC machine tool. The control system is based on the Simulink model of MATLAB and the controller is established by programming S-function. The experiments are performed on steel workpiece with variable depth of cut by controlling milling force. The experimental results show that the intelligent control of the milling process is feasible using this experimental platform. The proposed controller can adaptively adjust the feed rate till achieving a constant cutting force approaching the set point in varied cutting conditions. CNC milling machine can make full use of its manufacturing capacity when processing the parts, thus improving the cutting efficiency and protecting the tool.

Multi-Objective Optimization for the Micro-Milling Process With Adaptive Data Modeling

2011 ◽  
Author(s):  
Xinyu Liu ◽  
Weihang Zhu ◽  
Victor Zaloom
Keyword(s):  
Surrogate Model ◽  
Data Modeling ◽  
Milling Process ◽  
Machining Process ◽  
Micro Milling ◽  
Machining Parameters ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimization Study ◽  
Machining Parameter

This paper presents a multi-objective optimization study for the micro-milling process with adaptive data modeling based on the process simulation. A micro-milling machining process model was developed and verified through our previous study. Based on the model, a set of simulation data was generated from a factorial design. The data was converted into a surrogate model with adaptive data modeling method. The model has three input variables: axial depth of cut, feed rate and spindle speed. It has two conflictive objectives: minimization of surface location error (which affects surface accuracy) and minimization of total tooling cost. The surrogate model is used in a multi-objective optimization study to obtain the Pareto optimal sets of machining parameters. The visual display of the non-dominated solution frontier allows an engineer to select a preferred machining parameter in order to get a lowest cost solution given the requirement from tolerance and accuracy. The contribution of this study is to provide a streamlined methodology to identify the preferred best machining parameters for micro-milling.

The Study of Tool Wear Performance on Pocket Milling Strategy

2014 ◽  
Vol 699 ◽  
pp. 64-69 ◽  
Author(s):  
A.B. Mohd Hadzley ◽  
A. Siti Sarah ◽  
R. Izamshah ◽  
M.R. Nurul Fatin
Keyword(s):  
Tool Wear ◽  
Tool Path ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cnc Milling ◽  
Wear Performance ◽  
Pocket Milling ◽  
Cnc Milling Machine ◽  
Radial Depth ◽  
Wet Condition

The increasing productivity demand in machining industry has lead for fast material removal machining technique of pocket milling using different tool path strategies. This project aims to study about the effect of different tool path strategies on tool wear when machining aluminium alloy 7076. Five milling strategies were evaluated outward helical, inward helical, back and forth, offset on part one-way and offset on part zigzag. CATIA V5R19 was used to setup milling path and the machining experiments were carried out on a HAAS’ 3 axis CNC milling machine. The machining was held under wet condition with 2500 rpm cutting speed, 800 mm/min feed rate, 2 mm radial depth of cut and 2 mm axial depth of cut. The results showed that the best tool path strategies are inward helical and offset on part one-way, while the worst tool path strategy is outward helical. Failure to evacuate chip during pocket milling is the main reason to cause rapid tool wear due to temperature rise and higher contact time and area of cutting tool with the chip. Results from this experiment help to guide the machinist to perform pocket milling effectively.

scholarly journals The Experimental Investigation of Surface Roughness After Dry Turning of Steel S235

2019 ◽  
Vol 26 (4) ◽  
pp. 179-184
Author(s):  
Justyna Molenda
Keyword(s):  
Surface Roughness ◽  
Surface Finish ◽  
Cutting Speed ◽  
Scientific Work ◽  
Machining Process ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Workpiece Material ◽  
Important Indicator

AbstractNowadays lot of scientific work inspired by industry companies was done with the aim to avoid the use of cutting fluids in machining operations. The reasons were ecological and human health problems caused by the cutting fluid. The most logical solution, which can be taken to eliminate all of the problems associated with the use of cooling lubricant, is dry machining. In most cases, however, a machining operation without lubricant finds acceptance only when it is possible to guarantee that the part quality and machining times achieved in wet machining are equalled or surpassed. Surface finish has become an important indicator of quality and precision in manufacturing processes and it is considered as one of the most important parameter in industry. Today the quality of surface finish is a significant requirement for many workpieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. In the present study, the influence of different machining parameters on surface roughness has been analysed. Experiments were conducted for turning, as it is the most frequently used machining process in machine industry. All these parameters have been studied in terms of depth of cut (ap), feed rate (f) and cutting speed (vc). As workpiece, material steel S235 has been selected. This work presents results of research done during turning realised on conventional lathe CDS 6250 BX-1000 with severe parameters. These demonstrate the necessity of further, more detailed research on turning process results.

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