scholarly journals Effect of Machining Parameters on Surface Roughness During Milling Operation

2021 ◽  
Author(s):  
Sajid Raza Zaidi ◽  
Mushtaq Khan ◽  
Syed Husain Imran Jaffery ◽  
Salman Sagheer Warsi
Keyword(s):  
Energy Consumption ◽  
Surface Finish ◽  
Cutting Speed ◽  
Weight Ratio ◽  
High Strength ◽  
Milling Process ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Sustainable Machining ◽  
Considerable Impact

Aluminum is one of the most extensively used metal in aerospace industry and other applications due to its corrosion resistance, good machineability excellent mechanical properties and high strength to weight ratio. Machining parameters like number of inserts, depth of cut, cutting speed, feed rate, and cutting tool diameter have considerable impact on production rate, surface finish, energy consumption and sustainable machining. Suitable process parameters during machining and specifically milling process not only leads towards better surface finish but also towards sustainable machining. Aim of machining has always been to produce parts with better surface quality and lower energy consumption. To study the effect of milling parameters on the surface finish, Taguchi L9 array was employed for experimentation. The outcome of each parameter on surface finish has been examined using ANOVA and the most considerable parameters were identified. It has also been observed that the number of inserts significantly influence the surface finish.

Effect of machining parameters on the surface finish of a metal matrix composite under dry cutting conditions

2015 ◽  
Vol 231 (6) ◽  
pp. 913-923 ◽  
Author(s):  
Brian Boswell ◽  
Mohammad Nazrul Islam ◽  
Ian J Davies ◽  
Alokesh Pramanik
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composite ◽  
Tool Life ◽  
Surface Finish ◽  
Feed Rate ◽  
Metal Matrix ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Dry Cutting

The machining of aerospace materials, such as metal matrix composites, introduces an additional challenge compared with traditional machining operations because of the presence of a reinforcement phase (e.g. ceramic particles or whiskers). This reinforcement phase decreases the thermal conductivity of the workpiece, thus, increasing the tool interface temperature and, consequently, reducing the tool life. Determining the optimum machining parameters is vital to maximising tool life and producing parts with the desired quality. By measuring the surface finish, the authors investigated the influence that the three major cutting parameters (cutting speed (50–150 m/min), feed rate (0.10–0.30 mm/rev) and depth of cut (1.0–2.0 mm)) have on tool life. End milling of a boron carbide particle-reinforced aluminium alloy was conducted under dry cutting conditions. The main result showed that contrary to the expectations for traditional machined alloys, the surface finish of the metal matrix composite examined in this work generally improved with increasing feed rate. The resulting surface roughness (arithmetic average) varied between 1.15 and 5.64 μm, with the minimum surface roughness achieved with the machining conditions of a cutting speed of 100 m/min, feed rate of 0.30 mm/rev and depth of cut of 1.0 mm. Another important result was the presence of surface microcracks in all specimens examined by electron microscopy irrespective of the machining condition or surface roughness.

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.

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%.

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.

The Study of Surface Finish in Face Milling of Stainless Steel: AISI 304

2013 ◽  
Vol 650 ◽  
pp. 606-611 ◽  
Author(s):  
Songsak Luejanda ◽  
Komson Jirapattarasilp
Keyword(s):  
Stainless Steel ◽  
Surface Finish ◽  
Feed Rate ◽  
Cutting Speed ◽  
Milling Process ◽  
Face Milling ◽  
Depth Of Cut ◽  
Aisi 304 ◽  
Steel Aisi ◽  
Stainless Steel Aisi

This research was to study the effect of face milling on the surface finish of stainless steel: AISI 304. The experiment was applied on three factors and were consisted of three levels of cutting speed, depth of cut and feed rate. The face milling process was chosen to experiment which used face milling cutter with insert carbide tool. The surface roughness average (Ra) was applied to indicating for surface finish. The experiment results were analyzed by ANOVA. The main factors and factors interaction that affected to surface finish were investigated. Effect of cutting speed, feed rate and depth of cut on surface finish of stainless steel: AISI 304 was discussed.

Optimization of Machining Parameters on Turning of Hybrid Metal Matrix Composite

2013 ◽  
Vol 315 ◽  
pp. 113-116 ◽  
Author(s):  
T.S. Mahesh Babu ◽  
P.S. Ramkumar ◽  
Nambi Muthukrishnan
Keyword(s):  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Surface Finish ◽  
Metal Matrix ◽  
Cutting Speed ◽  
Ratio Method ◽  
Depth Of Cut ◽  
Mechanical And Thermal Properties ◽  
Machining Parameters ◽  
Hybrid Metal Matrix Composite

Hybrid metal matrix composite constitutes a tough metal matrix with reinforcement of at least two ceramic particulates and exhibit superior mechanical and thermal properties. The difficulties in machining metal matrix composites are obtaining good surface finish, consumption of more electrical power, involving excessive cutting forces and greater tool wear as it contain very hard ceramic particulates. This factor restrict the wide spread application of these kind of materials. Hence the study of machining characteristics and the optimization of the cutting parameters are prime importance. In this paper aluminium alloy is taken as metal matrix and the silicon carbide (SiC 10% by wt.) and boron carbide (B4C 5% by wt.) taken as ceramic reinforcement. This material is fabricated in the form of cylindrical rod using stir casting method. Turning operations are carried out in medium duty lathe using poly crystalline diamond (PCD) cutting tool insert. Taguchis design of L09orthogonal array is followed selecting three machining factors namely cutting speed, feed and depth of cut at three levels. Optimal cutting conditions are arrived by Signal-Noise ratio method with respect to surface roughness. The results are validated by (ANOVA) analysis of variance and the percentage of contribution of cutting speed, feed rate and depth of cut for better surface finish are determined and it is found that the vital parameter is feed followed by cutting speed and then by depth of cut.

Surface Roughness Study of Milled Carbon Fiber Reinforced Polymer (CFRP) Composite Using 4 mm 2-Flute Titanium Aluminum Nitride (TiAlN) Coated Carbide End Mills

2014 ◽  
Vol 887-888 ◽  
pp. 1101-1106 ◽  
Author(s):  
Mohamed Konneh ◽  
Sudin Izman ◽  
Mirza Emmil Dzahi Padil ◽  
Rosniza Roszat
Keyword(s):  
Surface Roughness ◽  
Weight Ratio ◽  
High Strength ◽  
Milling Process ◽  
Machining Parameters ◽  
Inherent Anisotropy ◽  
Pull Out ◽  
Cfrp Composite ◽  
End Mills ◽  
Coated Carbide

As the goal for aircraft weight reduction and low fuel consumption becomes a dire concern in aerospace industries, there is driving desire for the increasing use of advanced exotic materials such as composites, titanium and Inconels in the aerospace industry because of their high strength to weight ratio. Nevertheless the inherent anisotropy, inhomogeneous properties of CFRP and low bonding strength within the laminates make machining of these composite materials results in several undesirable effects such as delamination, micro-cracking, burr, fiber pull out and breakage. This paper discusses an experimental investigation into the influence of machining parameters on surface roughness when milling CFRP using 4 mm-diameter 2-fluted carbide end-mill coated with Titanium Aluminium Nitride (TiAlN). Relationship between the machining variables and the output variables is established and a mathematical model is predicted for the surface roughness produced during the milling process for the machining conditions investigated.

Preheating in End Milling of AISI D2 Hardened Steel with Coated Carbide Inserts

2009 ◽  
Vol 83-86 ◽  
pp. 56-66 ◽  
Author(s):  
Mohd Amri Lajis ◽  
A.K.M. Nurul Amin ◽  
A.N. Mustafizul Karim ◽  
A.M.K. Hafiz
Keyword(s):  
Tool Wear ◽  
Surface Finish ◽  
End Milling ◽  
Cutting Speed ◽  
Hardened Steel ◽  
Depth Of Cut ◽  
Inductive Heating ◽  
Machining Parameters ◽  
Aisi D2 ◽  
Coated Carbide

This study was conducted to investigate the effect of preheating through inductive heating mechanism in end milling of AISI D2 hardened steel (60-62 HRC) by using coated carbide tool inserts. Apart from preheating, two other machining parameters such as cutting speed and feed were varied while the depth of cut constant was kept constant. Tool wear phenomenon and machined surface finish were found to be significantly affected by preheating temperature and other two variables. End milling operation was performed on a Vertical Machining Centre (VMC). Preheating of the work material to a higher temperature range resulted in a noticeable reduction in tool wear rate leading to a longer tool life. In addition, improved surface finish was obtained with surface roughness values lower than 0.4 μm, leaving a possibility of skipping the grinding and polishing operations for certain applications.

Optimization of Cutting Parameters for Turning Operation of Titanium Alloy Ti-6Al-4V Material Workpiece Using the Taguchi Method

2013 ◽  
Vol 685 ◽  
pp. 57-62
Author(s):  
Seyyed Pedram Shahebrahimi ◽  
Abdolrahman Dadvand
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Taguchi Method ◽  
Surface Finish ◽  
Feed Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Material Tool

One of the most important issues in turning operations is to choose suitable parameters in order to achieve a desired surface finish. The surface finish in machining operation depends on many parameters such as workpiece material, tool material, tool coating, machining parameters, etc. The purpose of this research is to focus on the analysis of optimum cutting parameters to get the lowest surface roughness in turning Titanium alloy Ti-6Al-4V with the insert with the standard code DNMG 110404 under dry cutting condition, by the Taguchi method. The turning parameters are evaluated as cutting speed of 14, 20 and 28 m/min, feed rate of 0.12, 0.14 and 0.16 mm/rev, depth of cut of 0.3, 0.6 and 1 mm, each at three levels. The Experiment was designed using the Taguchi method and 9 experiments were conducted by this process. The results are analyzed using analysis of variance method (ANOVA). The results of analysis show that the depth of cut has a significant role to play in producing lower surface roughness that is about 63.33% followed by feed rate about 30.25%, and cutting speed has less contribution on the surface roughness. Also it was realized that with the use of the confirmation test, the surface roughness improved by 227% from its initial state.

Machinability Improvement in Turning of Titanium Alloy (gr2) Using Cubic Boron Nitride (cBN) Cutting Tool

2014 ◽  
Vol 564 ◽  
pp. 507-512 ◽  
Author(s):  
Ananda Kumar Eriki ◽  
K. Prahlada Rao ◽  
K.C. Varaprasad
Keyword(s):  
Titanium Alloy ◽  
Boron Nitride ◽  
Surface Finish ◽  
Large Scale ◽  
Cubic Boron Nitride ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
High Strength ◽  
Depth Of Cut ◽  
Machining Performance

Titanium has been perceived as a material that is difficult to machine. Manufacturers are known that, with proper procedures, titanium can be fabricated using techniques no more difficult than those used for machining SS316. The machining of hard workpiece materials requires significantly harder cutting materials. Advancements in the aerospace, nuclear and other industries require the enhanced in-service performance of engineering components. These requirements have resulted in a large scale development and use of heat-resistant and high-strength materials, such as Ti6A4Valloys, which pose considerable machining problems. In this analysis on machining of titanium alloy using cubic boron nitride (cBN) tools, the machining performance was evaluated in terms of cutting force, specific cutting pressure, cutting temperature, chip strain and surface finish. The studies of turning machinability of titanium alloy using round tee-lock cubic boron nitride (cBN) inserts have been presented. A series of turning experiments were performed with cubic boron nitride (cBN) inserts with the objective: To determining the effect of cutting variable on the tool life. To investigate the effect of cutting speed and feed rate on the surface roughness while using round tee lock inserts. A good surface finish of 0.5 to 1 micron was obtained for cutting speed between 15 45 m/min, feed of 0.10 to 0.20 mm/rev and depth of cut of 1 mm and also find the stress intensity in two different axis will be studied.

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