Dry and Compressed Air Cooling Comparative Study on 6061 Aluminium Alloy Drilling Using Coated Drill

2014 ◽  
Vol 903 ◽  
pp. 45-50
Author(s):  
Prasanth Asok ◽  
Palanisamy Chockalingam
Keyword(s):  
Surface Roughness ◽  
Aluminium Alloy ◽  
Feed Rate ◽  
Spindle Speed ◽  
Air Cooling ◽  
Cold Air ◽  
Dry Drilling ◽  
Air Drilling ◽  
Drilling Operations ◽  
6061 Aluminium Alloy

The use of aluminium alloy in the manufacturing industry has increased tremendously in the past decade mainly in the areas of aeronautics and automobiles. The ease of machinability of this material makes it a more desirable operand in manufacturing usage. Hence, in this research, a study was undertaken to perform a comparative analysis of dry and cold air drilling on 6061 aluminium alloy. The drill tool used in the drilling process was HSS Cobalt coated tool which has not featured in many research papers. Subsequently, the quality of each hole was identified based on the diameter accuracy of the hole and the surface roughness of the hole. A variation in the parameters was employed to identify the best feed rate and spindle speed that can accommodate a quality hole. In addition, during the drilling operations, force was measured to analyse the ensemble of parameters that present the highest and lowest force. Based on the data collected, an analysis was performed to identify the best quality hole. The force measured for cold air drilling was relatively lower than those measured in dry drilling primarily when high feed rate of 80 mm/min and high speed of 6000 rpm is used. The surface roughness and hole diameter does not differ much between cold air and dry drilling. Therefore, it is highly recommended that feed rate of 80 mm/min coupled with a spindle speed of 6000 rpm be used for drilling operations with a 5mm diameter tool.

scholarly journals Analysis of Hole Quality and Chips Formation in the Dry Drilling Process of Al7075-T6

Metals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 891
Author(s):  
Numan Habib ◽  
Aamer Sharif ◽  
Aqib Hussain ◽  
Muhammad Aamir ◽  
Khaled Giasin ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
High Speed Steel ◽  
Spindle Speed ◽  
Drilling Process ◽  
Hole Size ◽  
Hole Quality ◽  
Dry Drilling ◽  
Drilling Parameters ◽  
The Impact

Millions of holes are produced in many industries where efficient drilling is considered the key factor in their success. High-quality holes are possible with the proper selection of drilling process parameters, appropriate tools, and machine setup. This paper deals with the effects of drilling parameters such as spindle speed and feed rate on the chips analysis and the hole quality like surface roughness, hole size, circularity, and burr formation. Al7075-T6 alloy, commonly used in the aerospace industry, was used for the drilling process, and the dry drilling experiments were performed using high-speed steel drill bits. Results have shown that surface roughness decreased with the increase in spindle speed and increased with the increase in the feed rate. The hole size increased with the high spindle speed, whereas the impact of spindle speed on circularity error was found insignificant. Furthermore, short and segmented chips were achieved at a high feed rate and low spindle speed. The percentage contribution of each input parameter on the output drilling parameters was evaluated using analysis of variance (ANOVA).

Investigation of Cutting Performance for NAK80 Hardened Steel under Different Assisted Machining Systems

2020 ◽  
Vol 976 ◽  
pp. 133-138
Author(s):  
Shen Yung Lin ◽  
Z.K. Wang
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Feed Rate ◽  
Cutting Tool ◽  
Flank Wear ◽  
Spindle Speed ◽  
Cutting Performance ◽  
The Other ◽  
Cutting Depth ◽  
Cold Air

In this study, five different assisted techniques, including without assistance, laser-assisted, flood assisted, MQL-assisted and cold air-assisted were employed for NAK80 mold steel milling. The 18 set experiments were performed in each assisted system but 27 sets were executed in the without assistance situation. Under each assisted milling circumstance, the effects of process parameters on the variations of surface roughness, cutting force, tool wear and surface morphology of the workpiece are thus investigated. Milling experiments of NAK80 mold steel by cutting-tool of extra-fine particle tungsten carbide with TiSiN coating were conducted. And the experiments of the process parameter combinations such as spindle speed, feed rate and radial depth of cut were also planned. The results show that, under the same milling conditions, the surface roughness and cutting force are decreased as the spindle speed is increased, but both of them is increased as the feed rate and radial cutting depth are increased. In addition, the maximum flank wear of the cutting-tool is increased as the spindle speed, feed rate and radial cutting depth are increased. In terms of cutting assistance, the cutting performance exhibited in the cold air-assisted milling prevails over that in milling without assistance as well as with the other each assisted system. As a result, the cutting-tool flank wear, surface roughness and cutting force are all better than the other assisted techniques.

Prediction of Surface Roughness and Optimization of Cutting Parameters in CNC Turning of Rotational Features

2020 ◽  
Vol 38 (8A) ◽  
pp. 1143-1153
Author(s):  
Yousif K. Shounia ◽  
Tahseen F. Abbas ◽  
Raed R. Shwaish
Keyword(s):  
Surface Roughness ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Non Linear ◽  
Optimization Of Cutting Parameters

This research presents a model for prediction surface roughness in terms of process parameters in turning aluminum alloy 1200. The geometry to be machined has four rotational features: straight, taper, convex and concave, while a design of experiments was created through the Taguchi L25 orthogonal array experiments in minitab17 three factors with five Levels depth of cut (0.04, 0.06, 0.08, 0.10 and 0.12) mm, spindle speed (1200, 1400, 1600, 1800 and 2000) r.p.m and feed rate (60, 70, 80, 90 and 100) mm/min. A multiple non-linear regression model has been used which is a set of statistical extrapolation processes to estimate the relationships input variables and output which the surface roughness which prediction outside the range of the data. According to the non-linear regression model, the optimum surface roughness can be obtained at 1800 rpm of spindle speed, feed-rate of 80 mm/min and depth of cut 0.04 mm then the best surface roughness comes out to be 0.04 μm at tapper feature at depth of cut 0.01 mm and same spindle speed and feed rate pervious which gives the error of 3.23% at evolution equation.

Comparative Analysis between Conventional and Dry Turning

2017 ◽  
Vol 261 ◽  
pp. 267-274
Author(s):  
Pantelis N. Botsaris ◽  
Chaido Kyritsi ◽  
Dimitris Iliadis
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Cutting Tool ◽  
Spindle Motor ◽  
Air Cooling ◽  
Machining Parameters ◽  
Turning Process ◽  
Dry Cutting ◽  
Cold Air ◽  
Cooling And Lubrication

In this paper, there is an attempt to monitor and evaluate machining parameters when turning 34CrNiMo6 material under different cooling and lubrication conditions. The machining parameters concerned are temperature of the cutting tool and the workpiece, level of vibrations of the cutting tool, surface roughness of the workpiece, noise levels of the turning process and current drawn by the main spindle motor. Four different experimental machining scenarios were completed, specifically: conventional wet turning process, dry cutting and two additional modes employing cooling by cold air. Experimental data were acquired and recorded by an optimally designed network of sensors. Experimental data were statistically analyzed in order to reach conclusions. According to the research that has been done, although, overall, minimum cutting tool and workpiece temperatures were observed under wet machining, cold air cooling is capable of achieving comparable cooling results to wet machining. The lowest values of surface roughness were achieved by wet machining, whereas the lowest level of cutting tool vibrations were observed under cold air cooling.

Investigation of Surface Roughness and Material Removal Rate for High Speed Micro End Milling on PMMA

2015 ◽  
Vol 1115 ◽  
pp. 12-15
Author(s):  
Nur Atiqah ◽  
Mohammad Yeakub Ali ◽  
Abdul Rahman Mohamed ◽  
Md. Sazzad Hossein Chowdhury
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
High Speed ◽  
End Milling ◽  
Removal Rate ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Micro End Milling

Micro end milling is one of the most important micromachining process and widely used for producing miniaturized components with high accuracy and surface finish. This paper present the influence of three micro end milling process parameters; spindle speed, feed rate, and depth of cut on surface roughness (Ra) and material removal rate (MRR). The machining was performed using multi-process micro machine tools (DT-110 Mikrotools Inc., Singapore) with poly methyl methacrylate (PMMA) as the workpiece and tungsten carbide as its tool. To develop the mathematical model for the responses in high speed micro end milling machining, Taguchi design has been used to design the experiment by using the orthogonal array of three levels L18 (21×37). The developed models were used for multiple response optimizations by desirability function approach to obtain minimum Ra and maximum MRR. The optimized values of Ra and MRR were 128.24 nm, and 0.0463 mg/min, respectively obtained at spindle speed of 30000 rpm, feed rate of 2.65 mm/min, and depth of cut of 40 μm. The analysis of variance revealed that spindle speeds are the most influential parameters on Ra. The optimization of MRR is mostly influence by feed rate. Keywords:Micromilling,surfaceroughness,MRR,PMMA

scholarly journals Optimization of Surface Roughness in Deep Hole Drilling using Moth-Flame Optimization

2019 ◽  
Vol 18 (3-2) ◽  
pp. 62-68
Author(s):  
Anis Farhan Kamaruzaman ◽  
Azlan Mohd Zain ◽  
Razana Alwee ◽  
Noordin Md Yusof ◽  
Farhad Najarian
Keyword(s):  
Surface Roughness ◽  
Optimization Algorithm ◽  
Feed Rate ◽  
Spindle Speed ◽  
Hole Drilling ◽  
P Value ◽  
Machining Parameters ◽  
Deep Hole ◽  
Deep Hole Drilling ◽  
Moth Flame Optimization Algorithm

This study emphasizes on optimizing the value of machining parameters that will affect the value of surface roughness for the deep hole drilling process using moth-flame optimization algorithm. All experiments run on the basis of the design of experiment (DoE) which is two level factorial with four center point. Machining parameters involved are spindle speed, feed rate, depth of hole and minimum quantity lubricants (MQL) to obtain the minimum value for surface roughness. Results experiments are needed to go through the next process which is modeling to get objective function which will be inserted into the moth-flame optimization algorithm. The optimization results show that the moth-flame algorithm produced a minimum surface roughness value of 2.41µ compared to the experimental data. The value of machining parameters that lead to minimum value of surface roughness are 900 rpm of spindle speed, 50 mm/min of feed rate, 65 mm of depth of hole and 40 l/hr of MQL. The ANOVA has analysed that spindle speed, feed rate and MQL are significant parameters for surface roughness value with P-value <0.0001, 0.0219 and 0.0008 while depth of hole has P-value of 0.3522 which indicates that the parameter is not significant for surface roughness value. The analysis also shown that the machining parameter that has largest contribution to the surface roughness value is spindle speed with 65.54% while the smallest contribution is from depth of hole with 0.8%. As the conclusion, the application of artificial intelligence is very helpful in the industry for gaining good quality of products.

Experimental Study on the Surface Roughness in Mesoscopic-Scale Grinding of Nickel-Based Superalloy

2016 ◽  
Vol 1136 ◽  
pp. 9-14
Author(s):  
Yun Guang Zhou ◽  
Ya Dong Gong ◽  
Yang Sun ◽  
Zhong Xiao Zhu ◽  
Qi Gao
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Feed Rate ◽  
Theoretical Basis ◽  
Spindle Speed ◽  
Range Analysis ◽  
Mesoscopic Scale ◽  
Nickel Based Superalloy ◽  
Grinding Parameters ◽  
Grinding Tool

This paper uses micro-grinding tool with 500# grains and 0.9 mm diameter to grind nickel-based superalloy Inconel600 through three factors(grinding depth, feed rate, spindle speed ) at three levels orthogonal grinding experiment in mesoscopic scale. Then according to the range analysis of surface roughness, the primary and secondary influencial factors are found; the micro grinding parameters are optimized ,the results show: the influence of the feed rate(vf)is the biggest, followed by the spindle speed(n), the grinding depth(ap) is minimal, when n=50kr/min, vf=100μm/s, ap=6μm, the grinding surface roughness is minimum: Ra=579nm; finally , the regression mathematical model of micro grinding surface roughness is established, the relative error of the calculated value and experimental measurements is low, showing that this regression mathematical model is accurate and effective. This study provides a theoretical basis for the micro grinding parameters and surface quality control of nickel-based superally.

scholarly journals Evaluation of surface roughness in drilling particle-reinforced composites

2020 ◽  
Vol 29 ◽  
pp. 2633366X2093771
Author(s):  
Ferit Ficici
Keyword(s):  
Surface Roughness ◽  
Composite Materials ◽  
Feed Rate ◽  
Metal Removal ◽  
Cutting Speed ◽  
Weight Fraction ◽  
Matrix Alloy ◽  
Reinforced Composites ◽  
Structural Applications ◽  
Drilling Operations

Aluminum matrix composite materials being used in different sectors including automobile, aerospace, defense, and medical and are currently displacing unreinforced materials with their superior mechanical properties. The metal removal process of drilling is widely used in many structural applications. This study experimentally investigates the drilling characteristics of silicon carbide (SiCp)-reinforced Al 7075 composites produced by stir casting method. Also, two different drill materials with high-speed steel (HSS) and titanium nitride (TiN)-coated HSS carry out in drilling operation. The effect of operational parameters such as cutting speed and feed rate and materials parameters such as weight fraction of reinforcement and cutting tools on the surface roughness of drilled holes were evaluated in the drilling operations. The results of the drilling test indicate that the feed rate and cutting speed have a very strong effect on the surface roughness of matrix alloy and composite materials. The surface roughness ( Ra) values increased with increasing the feed rate and decreased with increasing the cutting speed. Under 0.10 mm/rev and 20 m/min drilling conditions and using HSS drill, surface roughness values for matrix, 5% SiC-, 10% SiC-, and 15% SiC-reinforced composites, were obtained 2.57, 2.59, 2.61, and 2.64 µm, respectively; besides, using TiN-coated HSS drill, surface roughness values were obtained 1.60, 1.63, 1.64, and 1.66 µm, respectively. An increase in the weight fraction of the abrasive SiC particle resulted in a very crucial deterioration quality of the drilled hole. TiN-coated HSS drills better performance exhibits than uncoated HSS drills for all the drilling operations about surface roughness properties. Short chip formations observed both the matrix alloy and the composite materials for two different drills in the drilling operations.

scholarly journals Enhancement of surface roughness for brittle material during rotary ultrasonic machining

2018 ◽  
Vol 249 ◽  
pp. 01006 ◽  
Author(s):  
Ankit Sharma ◽  
Atul Babbar ◽  
Vivek Jain ◽  
Dheeraj Gupta
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Vibration Amplitude ◽  
Research Study ◽  
Float Glass ◽  
Spindle Speed ◽  
Ultrasonic Machining ◽  
Rotary Ultrasonic Machining ◽  
Hole Quality ◽  
The Core

Surface roughness is the key aspect which could increase the application of float glass by enhancing the machined hole quality. Glass is extensively used in microfluidic devices, bio-medical parts and biosensors. The core objective of the research study is to optimize the best parametric combination to achieve the least amount of surface roughness. The three major parameters which are used for designed experimental study are spindle speed, ultrasonic amplitude and feed rate. The least value of surface roughness is noticed at spindle speed (5000 rpm), vibration amplitude (20 μ m) and feed rate (6 mm/min) which be adopted for increasing its functional application. Consequently, after optimizing the parameters, least value of surface roughness at hole internal region is revealed as 1.09 μm.

Influence of Processing Parameters on Surface Roughness in Micro Mill-Grinding Aluminium Alloy 6061

2014 ◽  
Vol 1017 ◽  
pp. 495-499
Author(s):  
Ya Dong Gong ◽  
Chao Wang ◽  
Jun Cheng ◽  
Xue Long Wen ◽  
Guo Qiang Yin
Keyword(s):  
Surface Roughness ◽  
Aluminium Alloy ◽  
Feed Rate ◽  
Processing Parameters ◽  
Micro Milling ◽  
Processing Conditions ◽  
Cutting Depth ◽  
Orthogonal Experiments ◽  
Alloy 6061 ◽  
Better Than

Orthogonal experiments of micro mill-grinding were conducted on aluminium alloy 6061. Electroplated CBN compound tools were used in machining. Surface topography and roughness of the machined workpieces were measured and analyzed. Influence rules of radial cutting depth,feed rate and spindle speed on surface roughness in micro mill-grinding were studied. The results were compared with those in micro milling. It shows that the influence rules of processing parameters on surface roughness in micro mill-grinding are approximately same with those in micro milling. And in the same processing conditions, the surface roughness of micro mill-grinding is better than that of micro milling. The minimum value of surface roughness Ra of micro mill-grinding is 0.609μm in the experiments.

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