Effect of process parameters on surface roughness of alloy steels while working on Milling Machine using Taguchi Technique- A Review
|
|
- Meredith Matthews
- 5 years ago
- Views:
Transcription
1 Effect of process parameters on surface roughness of alloy steels while working on using Taguchi Technique- A Review 1 Bombale Ravindra Ramesh 1, 2 V. L. Kadlag, 3 D. R. Mahajan PG Student, SVIT, Nashik 1, Assistant Professor, SVIT, Nashik 2, Assistant Professor, LGNSCOE, Nashik ravibombale@gmail.com, 2 kadlag_vijay@rediffmail.com, 3 drm1.prod@gmail.com Abstract For alloy steel material we need economical and efficient machining parameters and taguchi robust design method is good method as it reduces the number of experiments. To remain competitive in the today s competitive market the manufacturers rely on their engineers and production personnel too quickly and effectively set up manufacturing processes for new products to achieve good quality. Due to this surface finish & dimensional accuracy becomes very important for designer-manufacturer of machine tools, as well as to user. Furthermore, their prediction helps in the analysis of optimization. This paper discusses about study of process parameter such as spindle speed, depth of cut, feed rate, tool material, coolant flow on surface roughness of different alloy steel. Feed rate was found to be dominantly affecting the surface finish. Keywords: Alloy steel, Machining, machine, Taguchi Method I. INTRODUCTION Determination of the optimal cutting parameters (cutting conditions) such as the number of passes, depth of cut, speed, and feed is considered as a crucial stage of milling machining processes and especially in process planning. This is mainly due to the complex nature of optimization of machining operations that require the following: (v) Knowledge of mathematical and numerical optimization techniques, such as the Simplex method, Search method, Geometric programming and dynamic programming. (vi) Knowledge of stochastic optimization techniques, such as the Genetic Algorithms, Simulated Annealing, Scatter Search, Particle Swarm Optimization and Tribes. II. MILLING PROCESS is the process of removing extra material from the work piece with a rotating multi-point cutting tool, called milling cutter. The machine tool employed for milling is called milling machine. machines are basically classified as vertical or horizontal. These machines are also classified as knee-type, ram-type, manufacturing or bed type, and planer-type. Most milling machines have self-contained electric drive motors, coolant systems, variable spindle speeds, and power-operated and table feeds. The three primary factors in any basic milling operation are speed, feed and depth of cut. Other factors such as kind of material and type of tool materials have a large influence, of course, but these three are the ones the operator can change by adjusting the controls, right at the machine vary from one make of controller to the next. [5] III. SURFACE ROUGHNESS (i) Knowledge of machining like drilling, turning or milling. (ii) Empirical equations relating the tool life, forces, power, surface finish, material removal rate, and arbor deflection to develop realistic constraints. (iii) Specification of machine tool capabilities like maximum power or maximum feed available from a machine tool. (iv) Development of an effective optimization criterion like maximum production rate, minimum production cost, maximum profit or a combination of these. Surface roughness is an important measure of product quality since it greatly influences the performance of mechanical parts as well as production cost. Surface roughness has received serious attention for many years and it is a key process to assess the quality of a particular product. Surface roughness has an impact on the mechanical properties like fatigue behavior, corrosion resistance, creep life, etc. It also affects other functional attributes of parts like friction, wear, light reflection, heat transmission, lubrication, electrical conductivity, etc. Surface roughness of turned components has greater influence on the quality of the product. 53
2 Whenever two machined surfaces come in contact with one another the quality of the mating parts plays an important role in the performance and wear of the mating parts. The height, shape, arrangement and direction of these surface irregularities on the work piece depend upon a number of factors such as: A) The machining variables which include a) Cutting speed, b) Feed and c) Depth of cut. B) The tool geometry Some geometric factors which affect achieved surface roughness include: a) Nose radius, b) Rake angle, c) Side cutting edge angle and d) Cutting edge. C) Work piece and tool material combination and their mechanical properties D) Quality and type of the machine tool used, E) Auxiliary tooling and lubricant used and F) Vibrations between the work piece, machine tool and cutting tool. [5] IV. SURFACE ROUGHNESS TESTER Surface roughness measurement is measured using a portable stylus type Profilometer. The profilometer is portable self-contained instrument for the measurement of surface texture (Ra). The parameter evaluations are microprocessor based. The measurement results are displayed on an LCD screen and can be output to an optional printer or another computer for further evaluation. The instrument is powered by non-rechargeable alkaline battery (9V). It is equipped with a diamond stylus having a tip radius five micrometers. V. TAGUCHI METHOD Taguchi proposed a standard procedure for applying his method for optimizing any process. The steps suggested by Taguchi are, 1. Determine the quality characteristic to be optimized The first step in the Taguchi method is to determine the quality characteristic to be optimized. The quality characteristic is a parameter whose variation has a critical effect on product quality. 2. Identify the noise factors and test conditions The next step is to identify the noise factors that can have a negative impact on system performance and quality. 3. Identify the control parameters and their alternative levels The third step is to identify the control parameters thought to have significant effects on the quality characteristic. Control (test) parameters are those design factors that can be set and maintained. The levels (test values) for each test parameter must be chosen at this point. 4. Design the matrix experiment and define the data analysis procedure The next step is to design the matrix experiment and define the data analysis procedure. First, the appropriate orthogonal arrays for the noise and control parameters to fit a specific study are selected. 5. Conduct the matrix experiment The next step is to conduct the matrix experiment and record the results. 6. Analyze the data and determine the optimum levels for control factors After the experiments have been conducted, the optimal test parameter configuration within the experiment design must be determined. To analyze the results, the Taguchi method uses a statistical measure of performance called signal to noise (S/N) ratio. 7. Predict the performance at these levels Figure 1 Stylus Probe Type Profilometer (Profilometer Measuring Surface Roughness) [5] The final step is an experimental confirmation run using the predicted optimum levels for the control parameters being studied. [8] 54
3 VI. STUDIES ON IMPROVEMENTS IN SURFACE QUALITY Pratyusha J., Ashok kumar U. and Laxminarayana P. (2013) studied the effects of various milling parameters such as spindle speed, feed rate, and depth of cut on the surface roughness of finished components. The experiments were conducted on AISI 304 S.S plate material on vertical milling machine using carbide inserts. It was observed from Figure 2 that Depth of cut has get major contribution towards variation in surface roughness, next best significant parameters is spindle speed and next best significant parameters is feed rate. Hence, spindle speed and Depth of cut are significant parameter which must be maintained at the levels specified i.e. Depth of cut at level-2(0.50mm) and Spindle speed at level-3(1500rpm) other parameter can be maintained at any one of the level values specified based on cost consideration. By the experiment results it was found that the surface roughness quality characteristic is smaller the better but the experimental value is 3.00mm.After applying Taguchi techniques the predicted values are 2.82mm. Figure 2 Percentage Contribution of each factor on Surface Roughness [1] R. Ashok Raj et. al. (2013) in their work found cutting speed play a dominating role in surface roughness in milling process parameters. Significant values were selected by 5% (α = 0.05) from this main effect interaction plot values of milling parameters predict the low value of surface roughness as indicate at spindle speed of 285 m/min, feed rate 0.27 mm/rev and depth of cut 0.4 mm were the best combinations of this experimental work. employed to study the significance of each machining parameter on the surface roughness. The results indicated that coolant flow with the contribution of 60.69% is the most important parameter in controlling the surface roughness, followed by spindle speed. The optimal parameters for surface roughness is obtained as spindle speed of 2500 rpm, feed rate of 800 mm/min, 0.8 mm depth of cut, 30 lit/min coolant flow. For this combination the experimentally found surface roughness value μm is lower than other combinations. Figure3 Contributions of Factors Affecting Roughness [3] S Nizam Sadiq et al., (2014) found feed rate a dominating and influencing parameter and optimum milling process parameters for achieving lower surface roughness are 1000 rpm of spindle speed, 0.08 mm of feed rate and 0.8 mm depth of cut. However the OHNS steel plates are probable for manufacturing tools and having good machinability property by using TiAlN coated milling cutter with optimum cutting parameters. G.G.naidu,A.V, A.V, A.V. Vishnu and G.J.raju (2014) in their experimentation found the optimum speed using taguchi technique as 1094rpm. Similarly the results obtained for feed and depth of cut are 100m/min and 1mm respectively. Hence it can be concluded that the parameters obtained are valid and within the range of EN31 machining standards. The corresponding Optimum coolant flow is 90 lts/min. B.singh et.al.(2014) in their work from all selected parameters, Feed Rate was significantly affecting the milling of EN24. The result showed that the feed rate contributed 87.79%, cutting speed contributed only 1.58% and depth of cut contributed was least with 0.003% for surface roughness (R a ). process is best suitable machining of EN8 steel other than conventional machining process such as turning, planning and shaping process. Side and face milling cutter is suitable for machining EN8 steel which produce good surface finish with required accuracy. A.A.Thakare (2013) conducted experiments on 1040 MS material on vertical milling machine using carbide inserts. The analysis of mean and variance technique is T. Kıvak (2014) found the optimal conditions for surface roughness and flank wear were observed at A2B3C1 (i.e., cutting tool = CVD, cutting speed = 150 m/min and feed rate = 0.09 mm/rev) and A2B1C1 (i.e., cutting tool = CVD, cutting speed = 90 m/min and feed rate = 0.09 mm/rev), respectively. CVD TiCN/Al 2 O 3 -coated carbide inserts exhibited better performance than PVD TiAlN-coated carbide inserts and could be recommended for use in the milling of Hadfield steel. According to the results of statistical analyses, it was found that the feed 55
4 rate was the most significant parameter for surface roughness with a percentage contribution of 82.38%. Paper Pratyusha J, Ashok kumar U. and Laxminara yana P. (2013) [1] R. Ashok Raj et. al. (2013) [2] A.A.Thaka re (2013) [3] S Nizam Sadiq et al., (2014) [4] G.G.naidu, A.V, A.V, A.V. Vishnu and G.J.raju (2014) [5] B.singh et.al.(2014) [6] T. Kıvak (2014) [7] Alloy AISI 304 S.S. EN M.S. VII. SUMMARY Type VMC Universal Tool Material Carbide inserts OHNS - TiAlN coated milling cutter EN31 EN24 Hadfiel d End Optimized Parameter values Depth of cut= 0.50mm, Feed = 100 mm/min and Spindle speed =1500rpm. Side and Spindle speed= face 285m/min, Feed milling cutter rate= 0.27 mm/rev and Depth of cut= 0.4 mm Carbide Spindle speed= inserts 2500 rpm, Feed rate= 800 mm/min, Depth of cut=0.8 mm, Coolant flow= 30 lit/min. Spindle speed=1000 rpm, feed rate=0.08 mm and Depth of cut =0.8 mm CVD Spindle Speed= Brass 1094rpm, Feed coated rate=100m/min, Cutting Depth of cut = Tool 1mm and Coolant flow= 90lts/min. - Spindle speed=2800 RPM, Feed rate =1200 PVD & CVD Coated Inserts mm/min) and Depth of cut= 0.6mm Cutting tool = CVD, Cutting speed = 90 m/min and Feed rate = 0.09 mm/rev Table 1 Summary of Literature Review. VIII. CONCLUSION From above study we can conclude that, This work is rich in terms of literature review. process is best suitable machining of alloy steels other than conventional machining process such as turning, planning and shaping process. The spindle speed, feed rate and depth of cut are considered prominent process parameters for machining on milling machine. Surface roughness is the response variable considered in the work for machining of many alloy steels. Researchers claim that feed rate is the most important factor influencing surface roughness in machining of alloy steels. Apart from feed rate, the other parameters such as coolant flow and tool materials were also found to be significantly affecting surface roughness in respective case studies. REFERENCES [1] Pratyusha J., Ashok Kumar U. and Laxminarayana P., Optimization of process parameters for Using Taguchi Methods, International Journal of Advanced Trends in Computer Science and Engineering, Volume 2, No. 6, Pages No , [2] R. Ashok Raj, T. Parun, K. Sivaraj and T. T. M. Kannan, Optimization of parameters of EN8 Using Taguchi Methods, International Journal in Mechanical Engineering & Robotic Research Vol. 2, No. 1, [3] Avinash A. Thakre, Optimization of milling parameters for Minimizing surface roughness Using Taguchi s Approach, International Journal of Emerging Technology and Advanced Engineering, Volume 3, Issue 6, [4] S. Nizam Sadiq, T. R. Raguraman, D. Thresh Kumar, R. Rajasekaran and T. T. M. Kannan, Optimization of milling Parameters of OHNS steel using TiALN Coated cutter by Design of Experiment Technique, International Journal Mechanical Engineering & Robotic Research, Vol. 3, No. 1, [5] G. Guruvaiah Naidu, Venkata Vishnu, Janardhana Raju, Optimization Of Process Parameters For Surface Roughness In Of EN-31 Material Using Taguchi Robust Design Methodology, International Journal of Mechanical and Production Engineering, Volume- 2, Issue-9, Sept [6] Balinder Singh, Rajesh Khanna, Kapil Goyal and Pawan Kumar, Optimization of Input Process Parameter in of EN24, International Journal of Research in Mechanical Engineering & Technology, Vol. 4, Issue 1, [7] Turgay kivak, Optimization of surface roughness and flank wear using the Taguchi method in milling of hadfield steel with PVD and CVD 56
5 coated inserts, Measurement, ELSEVIER, Volume 50, Page no , [8] Mr. Dhole N. S., Prof. Naik G. R. and Mr. Prabhawalkar M. S., Optimization of Process Parameters of EN33 Using Taguchi Parameter Design Approch, Journal of Engineering Research and Studies, Volume III, Issue I, Page No , January-March, [9] Ali Riza Motorcu, The Optimization of Machining Parameters Using the Taguchi Method for Surface Roughness of AISI 8660 Hardened Alloy Journal of Mechanical Engineering 56, Volume 6, Page No , [10] Mohamad Syahmi Shahrom, Nafrizuan Mat Yahya and Ahmad Razlan Yusoff Taguchi Method Approach on Effect of Lubrication Condition on Surface Roughness in Operation Mechanical and Manufacturing Engineering, MUCET 2012 Part 2. [11] N. Masmiati, Ahmad A. D. Sarhan, Optimizing cutting parameters in inclined end milling for minimum surface residual stress Taguchi approach Measurement 60 Science Direct, Page No , [12] Dimple Rani and Dinesh Kumar, Optimization and Modelling of End Process Parameters by Using Taguchi Method International Journal for Research In Applied Science & Engineering Technology (IJRASET), Volume 2, Issue X, [13] Vishal Parashar, Shailandra S. Bhadauria, Yogesh Sahu, Optimization Of Surface Roughness Using Taguchi Method In End Of Grade En19 With Tin Coated Carbide Tool Proceedings of 8th International Conference, Goa, India, 28th December [14] Vijaykumar H. K., Ahamed Kabir and Ganesh Raj, Experimental investigation of Material Removal Rate and Tool wear in turning of hardened AISI52100 steel using Taguchi Technique International Organization of Scientific Research Journal of Engineering (IOSRJEN), Volume 04, Issue 05 V5, PP , [15] Subramanian N. and Veerapriya C., Optimization of process parameters in milling process for AISI 4340 steel by Taguchi method Deepan Publication s IJREST s Mechanical Engineering, Volume 1 No. 1, [16] A. Venkata Vishnu, K. B. G. Tilak, G. Guruvaiah Naidu, Dr. G. Janardhana Raju, Optimization of Different Process Parameters of Aluminium Alloy 6351 in Using Taguchi Method, International Journal of Engineering Research And General Science, Volume 3, Issue 2, Part 2, March-April, [17] [18] Cavazzuti M. Optimization Methods from Theory to Design Scientific and Technological Aspects in Mechanics, XVIII, 262 P., [19] Madhav. S. Phadke, Quality Engineering Using Robust Design, Prentice Hall, AT & T, New Jersey, USA, [20] Nagaanjeneyulu K, Avinash M. Shanmuka Srinivas M. Optimization of Cutting Tool Life Parameters by Application of Taguchi Method on A International Journal of Innovative Research in Science, Engineering and Technology Volume 4, Special Issue 2, February
Received (10 October 2016) Revised (16 October 2016) Accepted (20 November 2016)
Mechanics and Mechanical Engineering Vol. 21, No. 1 (2017) 95 103 c Lodz University of Technology Multi Objective Optimization of Machining Conditions on Surface Roughness and MRR during CNC End Milling
More informationOptimization of Different Process Parameters of Aluminium Alloy 6351 in CNC Milling Using Taguchi Method
International Journal of Engineering Research and General Science Volume 3, Issue, Part, March-April, 015 ISSN 091-730 Optimization of Different Process Parameters of Aluminium Alloy 6351 in CNC Milling
More informationOptimization of Machining Parameters for Turning Mild Steel Using Design of Experiment
International Conference of Advance Research and Innovation (-2015) Optimization of Machining Parameters for Turning Mild Steel Using Design of Experiment Parshvam Jain *, Ranganath M S, Vipin, R. S. Mishra,
More informationExperimental study on machining parameters of Al 1100 by using Taguchi Robust Design Methodology.
Experimental study on machining parameters of Al 1100 by using Taguchi Robust Design Methodology. K. B. G TILAK 1, CH. PRANAV SRIVATSAV 2, K. RAMA KRISHNA REDDY 2, M. SHIVA SHANKAR 2 1 Asst.Professor,
More informationTAGUCHI-GREY RELATIONAL BASED MULTI-RESPONSE OPTIMIZATION OF MACHINING PARAMETERS IN TURNING PROCESS OF HCHCR D2
TAGUCHI-GREY RELATIONAL BASED MULTI-RESPONSE OPTIMIZATION OF MACHINING PARAMETERS IN TURNING PROCESS OF HCHCR D2 P.R.Mane 1, S.B.Chikalthankar 2 and V.M.Nandedkar 3 1 ME Student, Mechanical Engineering,
More informationProcess Parameter Optimization of Surface Grinding for AISI 321 by Using Taguchi Method Avinash S. Jejurkar, Vijay L. Kadlag
016 IJSRSET Volume Issue 4 Print ISSN : 395-1990 Online ISSN : 394-4099 Themed Section: Engineering and Technology Process Parameter Optimization of Surface Grinding for AISI 31 by Using Taguchi Method
More informationA Parametric Study on Performance of Titanium Alloy Using Coated and Uncoated Carbide Insert in CNC Turning
International Journal of Advanced Mechanical Engineering. ISSN 2250-3234 Volume 4, Number 5 (2014), pp. 557-564 Research India Publications http://www.ripublication.com A Parametric Study on Performance
More informationTool Wear Investigation in CNC Turning Operation
, July 4-6, 2018, London, U.K. Tool Wear Investigation in CNC Turning Operation Yousuf Al Kindi, Murali R V, Salim R K Abstract The aim of this attempt is to experimentally investigate the cutting tool
More informationCHARACTERISTICS AND OPTIMIZATION OF 304 L STAINLESS STEEL IN RADIAL DRILLING MACHINE
CHARACTERISTICS AND OPTIMIZATION OF 304 L STAINLESS STEEL IN RADIAL DRILLING MACHINE S. Muthukumar G.Rajesh Kannan M.E. Manufacturing Engineering Assistant Professor, Mechanical Dept. Maharaja Engineering
More informationInternational Journal of Advance Engineering and Research Development
Scientific Journal of Impact Factor(SJIF): 3.134 International Journal of Advance Engineering and Research Development Volume 2,Issue 5, May -2015 e-issn(o): 2348-4470 p-issn(p): 2348-6406 AN INVESTIGATION
More informationTHE APPLICATION OF TAGUCHI S OPTIMIZATION METHOD IN WET TURNING OPERATION OF EN 19 STEEL
International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN 2249-6890 Vol. 3, Issue 2, Jun 2013, 193-198 TJPRC Pvt. Ltd. THE APPLICATION OF TAGUCHI S OPTIMIZATION
More informationTool Life Performances on Turning Austenised and Quenched AISI Bearing Steel with Ceramics and CBN/TiC Cutting Tools
Research Article International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347-5161 2014 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet Tool
More informationAN EXPERIMENTAL STUDY ON PERFORMANCE OF TITANIUM ALLOY USING COATED AND UNCOATED INSERTS IN CNC TURNING
June 217, Volume 4, Issue 6 AN EXPERIMENTAL STUDY ON PERFORMANCE OF TITANIUM ALLOY USING COATED AND UNCOATED INSERTS IN CNC TURNING 1 Digvijay K. Patil, 2 Kaveri N. Kudave, 3 Pooja A. Sutar 1 Assistant
More informationINVESTIGATION OF SURFACE ROUGHNESS IN FINISH TURNING OF TITANIUM ALLOY TI-6AL-4V
INVESTIGATION OF SURFACE ROUGHNESS IN FINISH TURNING OF TITANIUM ALLOY TI-6AL-4V V. G. Umasekar, M. Gopal, Kadivendi Rahul, Saini Saikiran and G. V. Sasanka Mowli Department of Mechanical Engineering,
More informationOptimization of Process Parameters for Surface Roughness and Material Removal Rate for SS 316 on CNC Turning Machine
Optimization of Process Parameters for Surface Roughness and Material Removal Rate for SS 316 on CNC Turning Machine NAVNEET K. PRAJAPATI Department of Mechanical Engineering, S.P.B.Patel Engineering College
More informationTaguchi Analysis on Cutting Forces in Milling OHNS with Carbide Insert
Taguchi Analysis on Cutting Forces in Milling OHNS with Carbide Insert Doneti Gopi Krishna 1, Naliganti Sandeep 2, Oddarapu Kalyani 3, P.Revanth 4, Rokkam Aravind Kumar 5, Sandeep Kumar Rai 6 1Assistant
More informationAn Experimental Investigation to Optimize the Process Parameters of Surface Finish in Turning AISI 202 Stainless Steel Using Taguchi Approach
ISSN (e): 2250 3005 Vol, 04 Issue, 12 December 2014 International Journal of Computational An Experimental Investigation to Optimize the Process Parameters of Surface Finish in Turning AISI 202 Stainless
More informationTO STUDY THE PROCESS PARAMETERS OF NIMONIC80A ON SURFACE ROUGHNESS IN DRY MACHINING: BY ANOVA APPROACH 1
TO STUDY THE PROCESS PARAMETERS OF NIMONIC80A ON SURFACE ROUGHNESS IN DRY MACHINING: BY ANOVA APPROACH O. Archana M. V. R Durga Prasad Research Scholar, Department of Mechanical Engineering, VNR Vignana
More informationOptimization of Cutting Parameters on Tool Wear, Workpiece Surface Temperature and Material Removal Rate in Turning of AISI D2 Steel
International Journal of Advanced Mechanical Engineering. ISSN 2250-3234 Volume 4, Number 3 (2014), pp. 291-298 Research India Publications http://www.ripublication.com/ijame.htm Optimization of Cutting
More informationApplication of Taguchi Method in Optimization of Tool Flank Wear Width in Turning Operation of AISI 1045 Steel
ISSN 4-6096 (Paper) ISSN 5-058 (online) Vol, No.8, 0 Abstract Application of Taguchi Method in Optimization of Tool Flank Wear Width in Turning Operation of AISI 045 Steel Ajay Mishra *, Dr. Anshul Gangele.
More informationEXPERIMENTAL INVESTIGATION OF DRY DRILLING OF AUSTENITIC STAINLESS STEEL
EXPERIMENTAL INVESTIGATION OF DRY DRILLING OF AUSTENITIC STAINLESS STEEL M. Arun 1, N. Arunkumar 2 and R.Vijayaraj 3 1 Department of Mechanical Engineering Anna University, Chennai, Tamilnadu, India 2
More informationOptimization and Process Parameters of CNC End Milling For Aluminum Alloy 6082
Optimization and Process Parameters of CNC End Milling For Aluminum Alloy 6082 K. Siva Kumar PG Student Department of Mechanical Engineering, MITS, Madanapalle, Chittoor/Andhra Pradesh, India Bathina Sreenivasulu
More informationAnalysis of Machining Environment on Performance of Turning Process For Al 6063
Analysis of Machining Environment on Performance of Turning Process For Al 6063 S.G. Dambhare e-mail: dambhare@gmail.com S.K. Joshi e-mail: sankyjoshi321@gmail.com M.M. Bhuskute Bavdhan, Pune (M.S..),
More informationOptimization of Cylindrical Grinding Process Parameters on C40E Steel Using Taguchi Technique
RESEARCH ARTICLE OPEN ACCESS Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using Taguchi Technique *Naresh Kumar, **Himanshu Tripathi, ***Sandeep Gandotra *Assistant Professor,
More informationInvestigation on K20 Coated Carbide Insert Behavior on Turning OHNS Material
5th Int'l Conference on Industrial Engineering, Robotics and Engineering Materials (IEREM 7) Sept. 8-3, 7 Kuala Lumpur (Malaysia) Investigation on K Coated Carbide Insert Behavior on Turning OHNS Material
More informationOptimizing Machining Parameters Using Carbide Insert for Rough Mild Steel Surfaces
International Journal of Theoretical and Applied Mechanics. ISSN 0973-6085 Volume 12, Number 1 (2017) pp. 93-101 Research India Publications http://www.ripublication.com Optimizing Machining Parameters
More informationAnalysis of Process Parameters of Non Polluted WEDM
Analysis of Process Parameters of Non Polluted WEDM Gagan Goyal Assistant Professor, Department of Mechanical Engineering, Madhav University, Pindwara (Sirohi) E-mail: goyal.gagan1987@gmail.com Abstract
More informationOPTIMIZATION OF CUTTING PARAMETERS BASED ON TAUGCHI METHOD OF AISI316 USING CNC LATHE MACHINE
International Research Journal of Engineering and Technology (IRJET) e-issn: 395-0056 Volume: 04 Issue: 07 July -017 www.irjet.net p-issn: 395-007 OPTIMIZATION OF CUTTING PARAMETERS BASED ON TAUGCHI METHOD
More informationInternational Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: Volume 1 Issue 8 (September 2014)
Optimization of Cutting Parameters in Hard Turning of AISI 4340 Steel Basil K Mathew Paul * Tina Raju Dr. Biju B PG Scholar, Department of Mechanical Asst. Professor, Department of Associate Professor
More informationOptimization of Cutting Parameters for surface roughness and MRR in CNC Turning of 16MnCr5
Optimization of Cutting Parameters for surface roughness and MRR in CNC Turning of 16MnCr5 Jitendra Kumar Verma M. Tech Student, Department of Mechanical Engineering, Geeta Engineering College, Panipat,
More information[Swain*, 5(4): April, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY OPTIMAZATION OF MACHINING PARAMETER OF ALUMINIUM OXIDE AND SILICON CARBIDE COMPOSITMETARIAL BY USING TAGUCHI METHOD Suman Swain*,
More informationEffect of HSS and Tungsten Carbide Tools on Surface Roughness of Aluminium Alloy during Turning Operation
American Journal of Mechanical Engineering, 2016, Vol. 4, No. 2, 60-64 Available online at http://pubs.sciepub.com/ajme/4/2/3 Science and Education Publishing DOI:10.12691/ajme-4-2-3 Effect of HSS and
More information(WCB).2 full factorial design with four centre points is selected to perform the reliable experiments. Here the response parameters selected are surfa
Optimization of cutting parameters in milling of Aluminium 775 alloy using response surface methodology B.Arjun*, S.Jaganbabu*,R.Jayaprakasah*, B.Kaviyarasu*, K.Gopalakrishnan Department of mechanical
More informationANALYSIS OF SURFACE ROUGHNESS IN HARD TURNING BY USING TAGUCHI METHOD
ANALYSIS OF SURFACE ROUGHNESS IN HARD TURNING BY USING TAGUCHI METHOD S.B.SALVI * * Asst.Prof.Department of Mechanical Engineering, MGM s Jawaharlal Nehru Engineering College, Aurangabad. salvisunilkumar@gmail.com
More informationChapter 8. Material-Removal
4 4 6. 3 0 5 A M A N U F A C T U R I N G P R O C E S S E S Chapter 8. Material-Removal Processes: Cutting Sung-Hoon Ahn School of Mechanical and Aerospace Engineering Seoul National University Machining
More informationOPTIMIZATION OF CUTTING PARAMETERS FOR DRY TURNING OF EN9 STEEL WITH MTCVD MULTICOATED CARBIDE INSERT USING TAGUCHI METHOD
OPTIMIZATION OF CUTTING PARAMETERS FOR DRY TURNING OF EN9 STEEL WITH MTCVD MULTICOATED CARBIDE INSERT USING TAGUCHI METHOD Mittal P Brahmbhatt 1 Mr. Ankit R Patel 2 Mr. Priyank S Panchal 3 1 P.G. Student,
More informationA novel method in the production and Optimization of Process Parameters in turning LM6 Aluminium alloy with Borosilicate Reinforcement
International Journal of ChemTech Research CODEN (USA): IJCRGG, ISSN: 0974-4290, ISSN(Online):2455-9555 Vol.10 No.14, pp 110-116, 2017 A novel method in the production and Optimization of Process Parameters
More informationOptimization of Process Parameters for Milling of Nickel Alloy Inconel 625 by using Taguchi Method
Optimization of Process Parameters for Milling of Nickel Alloy Inconel 625 by using Taguchi Method Pulavarthi raviteja *1, S. Raja Sekhar *2 ( M.E(I.E).M.Tech(cse).(phd)) PG Student from Godavari institute
More informationInvestigating the Effect of Machining Parameters on Surface Roughness and MRR of Ti-6Al-4V Titanium Alloy in End Milling
Investigating the Effect of Machining Parameters on Surface Roughness and MRR of Ti-6Al-4V Titanium Alloy in End Milling [1] Prasad V. Sawant, [2] Arunkumar S. Shinde, [3] Ashish A. Hodawadekar, [4] Umesh
More informationOptimization of Tool Wear for Different Metals in Turning Operation Using ANOVA & Regression Analysis
Optimization of Tool Wear for Different Metals in Turning Operation Using ANOVA & Regression Analysis Md. Moin Uddin 1, Sayed Shafayat Hossain 2 1Graduate student, Department of Mechanical Engineering,
More informationOptimization the effect of input parameters on surface roughness and material removal rate of cylindrical grinding of AISI-1020 (low carbon steel).
Optimization the effect of input parameters on surface roughness and material removal rate of cylindrical grinding of AISI-1020 (low carbon steel). 1 Gurpal Singh, 2 Sukhjinder Singh, 3 Khushdeep Goyal
More informationA Comparative Study of Tool Life Between Ceramic and CBN Cutting Tools when Machining Steel and Optimization of Cutting Parameters
International Journal of Manufacturing Science and Technology 5(2) December 2011; pp. 91-99 Serials Publications A Comparative Study of Tool Life Between Ceramic and CBN Cutting Tools when Machining 52100
More informationApplication of Taguchi Method for Optimizing Material Removal Rate in Turning of En-47 Spring Steel
5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India Application of Taguchi Method for Optimizing
More informationOptimization of turning process parameters for AISI 410 Steel using Taguchi method
Optimization of turning process parameters for AISI 410 Steel using Taguchi method 1 Mahadev Naik, 2 Ashish Gorule, 3 Anil Ajgaonkar, 4 Tejas Dudye, 5 Tushar Chavan 1 Assistant Professor, FAMT, 2, 3, 4
More informationCOMPARATIVE STUDY OF WEAR BEHAVIOR OF M35 TOOL STEEL ON TREATED AND UNTREATED CUTTING TOOL ON LATHE MACHINE
International Journal of Research Publications in Engineering and Techlogy [IJRPET] 149 P a g e COMPARATIVE STUDY OF WEAR BEHAVIOR OF M35 TOOL STEEL ON TREATED AND UNTREATED CUTTING TOOL ON LATHE MACHINE
More informationEffect of Cutting Parameters on Tool Wear, Surface Roughness and Material Removal Rate During Dry Turning of EN-31 Steel
Proceedings of International Conference on Innovation & Research in Technology for Sustainable Development (ICIRT 2012), 01-03 November 2012 28 Effect of Cutting Parameters on Tool Wear, Surface Roughness
More informationAn Experimental Investigation of GFRP Surface Property and Process Parameter on CNC Milling Machine
An Experimental Investigation of GFRP Surface Property and Process Parameter on CNC Milling Machine S.Manoj 1, K.Kaviyarasan 2, B.Kiruba jogin 3, R.A. Kirubakar 4, N.Mathan raj 5 Assistant Professor, Department
More informationOPTIMIZATION OF MACHINING CHARACTERISTIC OF D2 STEEL UNDER DIFFERENT IN TURNING CONDITION
OPTIMIZATION OF MACHINING CHARACTERISTIC OF D2 STEEL UNDER DIFFERENT IN TURNING CONDITION Er. Parvinder Singh 1, Er. Rajinder Singh 2 1 AP in ME Dept. DAV University, Jalandhar 2 AP in ME Dept. Guru Kashi
More informationInvestigation of Optimum Cutting Parameters for End Milling of H13 Die Steel using Taguchi based Grey Relational Analysis
P P International Journal of Scientific Engineering and Applied Science (IJSEAS) - Volume-1, Issue-4, July 2015 Investigation of Optimum Cutting Parameters for End Milling of H13 Die Steel using Taguchi
More informationOptimization of Cylindrical Grinding Machine Parameters for Minimum Surface Roughness and Maximum MRR
GRD Journals- Global Research and Development Journal for Engineering Volume 2 Issue 5 April 2017 ISSN: 2455-5703 Optimization of Cylindrical Grinding Machine Parameters for Minimum Surface Roughness and
More informationWear of PVD Coated and CVD+PVD Coated Inserts in Turning
Wear of PVD Coated and CVD+PVD Coated Inserts in Turning Paper No.: 65 Session No.: Author Name: Title: Affiliation: Address: Email: 56 (Dynamics and Vibrations in Experimental Mechanics) M.A. Zeb Assistant
More informationEXPERIMENTAL INVESTIGATION ON FATIGUE FAILURE OF DIFFERENT DRILL BITS ON 316 STAINLESS STEEL
EXPERIMENTAL INVESTIGATION ON FATIGUE FAILURE OF DIFFERENT DRILL BITS ON 316 STAINLESS STEEL M. Arunkumar G. Rajesh Kannan M.E Manufacturing Engineering Assistant Professor, Mechanical Dept. Maharaja Engineering
More informationOPTIMIZATION OF MILLING PROCESS PARAMETERS - A REVIEW
OPTIMIZATION OF MILLING PROCESS PARAMETERS - A REVIEW MihirThakorbhai Patel* Abstract: In this paper, a comprehensive and in-depth review on optimization of different process parameters were carried out
More informationExperimental Research on the Influence of Tool Material and Geometric Parameters on Cutting Surface Quality of Super Alloy
International Journal of Smart Home Vol. 10, No. 5 (016), pp. 55-60 http://dx.doi.org/10.1457/ijsh.016.10.5.06 Experimental Research on the Influence of Tool Material and Geometric Parameters on Cutting
More informationStudy the Effect of Lubricant Emulsion Percentage and Tool Material on Surface Roughness in Machining of EN-AC Alloy
Study the Effect of Lubricant Emulsion Percentage and Tool Material on Surface Roughness in Machining of EN-AC 48000 Alloy E. Soltani a, H. Shahali b and H. Zarepour a a Faculty Member of Manufacturing
More informationEffect of Cutting Parameters on Tool Life
International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347 5161 2016 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet Research Article Sandip
More informationEFFECT OF CRYOGENIC COOLING ENVIRONMENT USING CO2 ON CUTTING TEMPERATURE IN TURNING PROCESS
EFFECT OF CRYOGENIC COOLING ENVIRONMENT USING CO2 ON CUTTING TEMPERATURE IN TURNING PROCESS ABSTRACT Bolewar A.B. Department of production Engg. SPPU University / AVCOE, Sangamner, India Shinde V.B. Department
More informationTAGUCHI BASED OPTIMIZATION OF CUTTING PARAMETERS ALUMINIUM ALLOY 6351 USING CNC
TAGUCHI BASED OPTIMIZATION OF CUTTING PARAMETERS ALUMINIUM ALLOY 6351 USING CNC Mahendra Singh 1, Amit Sharma 2, Deepak Juneja 3, Anju Chaudhary 4 1 Assistant Professor, Department of Mechanical Engg,
More informationExperimental Investigation to Study the Effect of the Mineral Oil and Carbide Insert Shapes on Machining of Aisi 4140
Experimental Investigation to Study the Effect of the Mineral Oil and Carbide Insert Shapes on Machining of Aisi 440 Pardeep Singh, Hartaj Singh 2, Anil Singh 3, Rewat Mahajan 4 Department of Mechanical
More informationParametric Optimization for Friction Stir Welding of Al6061 Alloy using Taguchi Technique
Parametric Optimization for Friction Stir Welding of Al6061 Alloy using Taguchi Technique Lingam Satyavinod 1, R Harikishore 2 1 Student, Department of Mechanical Engineering, DNREng College, Bhimavaram,
More informationAvailable online at ScienceDirect. Procedia Materials Science 6 (2014 )
Available online at www.sciencedirect.com ScienceDirect Procedia Materials Science 6 (2014 ) 1351 1358 3rd International Conference on Materials Processing and Characterization (ICMPC 2014) Investigations
More informationINFLUENCE OF VEGETABLE OIL BASED CUTTING FLUIDS ON TOOL WEAR AND SURFACE ROUGHNESS IN MILLING EN8 STEEL USING HSS AND TUNGSTEN CARBIDE TOOL
International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 6, June 2017, pp. 882 890, Article ID: IJCIET_08_06_096 Available online at http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=8&itype=6
More informationThe Study of Physical Properties & Analysis of Machining Parameters of EN25 Steel In-Situ Condition & Post Heat Treatment Conditions
The Study of Physical Properties & Analysis of Machining Parameters of EN25 Steel In-Situ Condition & Post Heat Treatment Conditions Amit Dhar 1, Amit Kumar Ghosh 2 1,2 Department of Mechanical Engineering,
More informationOptimization of WEDM Parameters using Taguchi Technique in Machining of Metal Matrix Composite Material
Optimization of WEDM Parameters using Taguchi Technique in Machining of Metal Matrix Composite Material [1] Gurupavan H R, [2] Devegowda T M, [3] H V Ravindra [1] Research Scholar, [2] Assistant Professor,
More informationAnalysis of Cutting Forces in High Speed Turning of Inconel 718 by using Ceramic Tools
International Conference on Multidisciplinary Research & Practice P a g e 17 Analysis of Cutting Forces in High Speed Turning of Inconel 718 by using Ceramic Tools Ganesh. S. Sonawane 1 1 PG Student, Mechanical
More informationCHAPTER 3 EXPERIMENTAL PROCEDURE
60 CHAPTER 3 EXPERIMENTAL PROCEDURE The objective of this study is to evaluate the performance of cermet tools which is subjected to either plain, coated, cryogenically treated. In order to evaluate these
More informationInternational Journal of Data and Network Science
International Journal of Data and Network Science 2 (2018) 99 108 Contents lists available at GrowingScience International Journal of Data and Network Science homepage: www.growingscience.com/ijds Multi-objective
More informationPERFORMANCE EVALUATION OF TiN COATED AND UNCOATED CARBIDE TOOLS IN TURNING AISI 4140 STEEL
5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) December 12 th 14 th, 2014, IIT Guwahati, Assam, India PERFORMANCE EVALUATION OF TiN COATED AND
More informationOptimization of Machining Parameters in Turning EN-45 Steel Using Plain Carbide Tools
217 IJSRSET Volume 3 Issue 6 Print IN: 2395-199 Online IN : 2394-499 Themed Section: Engineering and Technology Optimization of Machining Parameters in Turning EN-45 Steel Using Plain Carbide Tools Santosh
More informationINTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET)
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET) International Journal of Mechanical Engineering and Technology (IJMET), ISSN 0976 ISSN 0976 6340 (Print) ISSN 0976 6359 (Online) Volume
More informationA Comparative Optimization on Process Parameters of Wire Electrical Discharge Machining of Inconel-690 using Taguchi method
A Comparative Optimization on Process Parameters of Wire Electrical Discharge Machining of Inconel-690 using Taguchi method 1 Raju Kumar Thakur, 2 Dr. N. Selvaraj 1,2 Dept. of Mechanical Engineering, National
More informationA Correlative Analysis of Machining Parameters with Surface Roughness for Ferrous and Non- Ferrous Alloy Materials Asim M Saddiqe 1, Murali R V 2
A Correlative Analysis of Machining Parameters with Surface Roughness for Ferrous and Non- Ferrous Alloy Materials Asim M Saddiqe 1, Murali R V 2 1 Level 4 B. Engg CAME student, Caledonian College of Engineering,
More informationResponse Surface Methodology in the Study of Induced Machining Vibration and Work Surface Roughness in the Turning of 41Cr4 Alloy Steel
Website: www.ijetae.com (ISSN 50-59, ISO 900:008 Certified Journal, Volume 3, Issue, December 03) Response Surface Methodology in the Study of Induced Machining Vibration and Work Surface Roughness in
More informationParametric Optimization of Reaming Process in Vertical Machining Center By Taguchi Method
Parametric Optimization of Reaming Process in Vertical Machining Center By Taguchi Method N.Karthikeyan 1, B.Prakash 2, B.Kailaasam 3, S.Karthick 3, G.Ramkumar 3 1 Assitant Professor,Department of Mechanical
More informationInternational Journal on Emerging Technologies 5(1): (2014)
e t International Journal on Emerging Technologies 5(1): 173-180(2014) ISSN No. (Online) : 2249-3255 Investigation of Tool Wear under different Environmental Conditions in Turning of AISI D2 Steel using
More informationOptimization of Grinding Parameters of Surface Grinding Process for AISI 1018 Mild Steel by using Al2O3 Grinding Tool
IJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 08, 2016 ISSN (online): 2321-0613 Optimization of Grinding Parameters of Surface Grinding Process for AISI 1018 Mild Steel
More informationStudy of the Effect of Minimum Quantity Lubrication on the Surface Roughness of Incoloy 800 during Turning Operation
International Journal of Mechanical Engineering and Research. ISSN No. 2249-009, Volume 3, Number 5 (203), pp. 439-448 Research India Publications http://www.ripublication.com/ ijmer.htm Study of the Effect
More informationEffect of Turning Parameters on Power Consumption in EN 24 Alloy Steel using Different Cutting Tools
International Journal of Engineering Research and General Science Volume 2, Issue 6, October-November, 214 Effect of Turning Parameters on Power Consumption in EN 24 Alloy Steel using Different Cutting
More informationStudy of machining parameters while turning austenitic stainless steel AISI304
International Journal of Academic Research and Development ISSN: 2455-4197 Impact Factor: RJIF 5.22 www.academicsjournal.com Volume 3; Special Issue 2; March 2018; Page No. 14-20 Study of machining parameters
More informationP.Marimuthu 1 TTM.kannan 2 S.Saravanan 3 1
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 78-684,p-ISSN: 0-4X, Volume, Issue 5 Ver. V (Sep. - Oct. 05), PP 4-8 www.iosrjournals.org Experimental Investigation and Design Optimization
More informationHigh speed end milling of AISI 304 stainless steel using new geometrically developed carbide inserts
High speed end milling of AISI 34 stainless steel using new geometrically developed carbide inserts K.A. Abou-El-Hossein, Z. Yahya Department of Mechanical Engineering, Universiti Tenaga Nasional, 49,
More informationINDIA. Keywords: turning; cutting parameters; optimization; surface finish; Ti-6Al-4V; Taguchi techniques; GRA; ANOVA
American International Journal of Research in Science, Technology, Engineering & Mathematics Available online at http://www.iasir.net ISSN (Print): 2328-3491, ISSN (Online): 2328-3580, ISSN (CD-ROM): 2328-3629
More informationThe Effects of Process Parameters on Residual Stresses in Single Point Incremental Forming of A1050 Aluminum Using ANOVA Model
Engineering and Technology Journal Vol. 35, Part A, No. 1, 2017 A.S. Bedan Department of Production Engineering and Metallurgy University of Technology Baghdad, Iraq 70061@uotechnology.edu.iq S. Mohammed
More informationJournal of Engineering, Computers & Applied Sciences (JEC&AS) ISSN No: Volume 2, No.6, June 2013
ISSN No: 9 566 Volume, No.6, June Optimization of Machining Parameters of Titanium Alloy for Tool Life Kapil Kumar Chauhan, Asst. Professor, Mechanical Engineering Department, Graphic Era University Dehradun,
More informationEFFECT OF MQL ON TOOL WEAR AND SURFACE ROUGHNESS IN TURNING OPERATION
EFFECT OF ON TOOL WEAR AND SURFACE ROUGHNESS IN TURNING OPERATION Ayush Chaturvedi 1, Parinay Gupta 2, Rabesh Kumar Singh 3, Dr. N.K Singh 4 1,2,34 Department of Mechanical Engineering, IIT (ISM) Dhanbad,
More informationOptimization of Drilling Parameters on Diameter Accuracy in Dry Drilling Process of AISI D2 Tool Steel
Optimization of Drilling Parameters on Diameter Accuracy in Dry Drilling Process of AISI D2 Tool Steel Mohd Hairizal Bin Osman 1, Mohd Hidayat Bin ab Rahman 2, Mohd Nazri Bin Ahmad 3, Mohammad Khalid Bin
More informationTaguchi Analysis on Cutting Forces and Temperature in Turning Titanium Ti-6Al-4V
Taguchi Analysis on Forces and Temperature in Turning Titanium Ti-6Al-4V Satyanarayana Kosaraju, Venu Gopal Anne & Bangaru Babu Popuri Mechanical Engineering Department, National Institute of Technology,
More informationCHAPTER 5 INVESTIGATION ON DRILLING CHARACTERISTICS OF HYBRID COMPOSITES
CHAPTER 5 INVESTIGATION ON DRILLING CHARACTERISTICS OF HYBRID COMPOSITES 5.1 Introduction This chapter presents the experimental work carried out with different cutting parameters in drilling to evaluate
More informationOptimization of MRR and TWR on EDM by using Taguchi s Method and ANOVA Die Steel H13
IJIRST International Journal for Innovative Research in Science & Technology Volume 2 Issue 03 August 2015 ISSN (online): 2349-6010 Optimization of MRR and TWR on EDM by using Taguchi s Method and ANOVA
More informationParametric analysis of GFRP composites in CNC milling machine using Taguchi method
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684 Volume 6, Issue 1 (Mar. - Apr. 2013), PP 102-111 Parametric analysis of GFRP composites in CNC milling machine using Taguchi
More informationOptimization of Process parameters in hot machining of Inconel 718 alloy using FEM
Optimization of Process parameters in hot machining of Inconel 718 alloy using FEM A. Kiran Kumar 1 and Dr. P. Venkataramaiah 2 1 Assistant Professor, Department of Mechanical Engineering, GITAM, Hyderabad,
More informationParametric Optimization of Lathe Turning for Al-7075 Alloy Using Taguchi: An Experimental Study
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Volume 14, Issue 3 Ver. VI. (May - June 2017), PP 39-45 www.iosrjournals.org Parametric Optimization of
More informationExperimental Investigation of surface roughness in dry turning of AISI 4340 alloy steel using PVD- and CVD- coated carbide inserts
Experimental Investigation of surface roughness in dry turning of AISI 4340 alloy steel using PVD- and CVD- coated carbide inserts Umesh Gupta Department of Mechanical Engineering Chandigarh University,Gharuan,Mohali,
More informationOriginal Research Article
Taguchi loss function apply on influencing of different tools in machining process parameters to optimize. TAGUCHI LOSS FUNCTION APPLY ON INFLUENCING OF DIFFERENT TOOLS IN MACHINING PROCESS PARAMETERS
More informationOPTIMIZATION OF MACHINING PARAMETERS AFFECTING SURFACE ROUGHNESS OF Al6082 IN DRY END MILLING OPERATION ON VMC
OPTIMIZATION OF MACHINING PARAMETERS AFFECTING SURFACE ROUGHNESS OF Al6082 IN DRY END MILLING OPERATION ON VMC Akhilesh Chaudhary 1, Vinit Saluja 2 1Research scholar, Dept. of Mechanical Engineering, Geeta
More informationOptimization of machining parameters of drilling process in Magnesium alloy AZ31
Optimization of machining parameters of drilling process in Magnesium alloy AZ31 A. Saravakumar 1, P. Sureshkumar 2, N. Balaji 3, R. Gokulnath 3, V. Mathavaram 3 1 Associate Professor, 2 Assistant Professor,
More informationOPTIMIZATION OF PROCESS PARAMETERS OF FRICTION STIR WELDED JOINT BY USING TAGUCHI METHOD
OPTIMIZATION OF PROCESS PARAMETERS OF FRICTION STIR WELDED JOINT BY USING TAGUCHI METHOD Vanita S.Thete Department o Mechanical Engg,, S.V.I.T COE,Nashik Prakash. N. Wakchaure Department o Mechanical Engg,,
More informationTool Life Estimate during Turning of EN24 against Coated Carbide Insert using Vibration Signal
e t International Journal on Emerging Technologies (Special Issue on ICRIET-2016) 7(2): 133-142(2016) ISSN No. (Print) : 0975-8364 ISSN No. (Online) : 2249-3255 Tool Life Estimate during Turning of EN24
More informationOptimization of Different Cutting Parameter for Aluminum-6351
Volume-6, Issue-6, November-December 2016 International Journal of Engineering and Management Research Page Number: 216-220 Optimization of Different Cutting Parameter for Aluminum-6351 S.K.Aher 1, R.S.Shelke
More informationOPTIMIZATION OF CUTTING PARAMETERS BY TURNING OPERATION IN LATHE MACHINE
International Journal of Mechanical And Production Engineering, ISSN: 009, Volume 5, Issue, Nov.07 OPTIMIZATION OF CUTTING PARAMETERS BY TURNING OPERATION IN LATHE MACHINE PANKAJ KUMAR SAHU, NOVEL KUMAR
More information