Mathematical models of tool life and surface roughness for turning operation through response surface methodology
|
|
- Clarence Fletcher
- 6 years ago
- Views:
Transcription
1 Journal of Scientific & Industrial Research Vol. 66, March 2007, pp Mathematical models of tool life and surface roughness for turning operation through response surface methodology Hari Singh 1, * and Pradeep Kumar 2 1 Mechanical Engineering Department, National Institute of Technology, Kurukshetra Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee Received 22 September 2005; revised 03 October 2006 Mathematical models of tool life and surface roughness have been developed for turning En24 steel with titanium carbide coated tungsten carbide inserts. Response surface methodology (RSM) has been applied for developing the models in the form of multiple regression equations correlating dependent parameters, tool life and surface roughness, with cutting speed, feed rate and depth of cut, in a turning process. The second order response surface was found suitable for present work. The central composite rotatable design was used to plan the experiment. Keywords: Carbide inserts, En24 steel, Experimental design, RSM, Surface roughness, Tool life IPC Code: G09B25/02 Introduction En24 is an alloy steel having: iron, 95-96; carbon, ; nickel, ; chromium, ; vanadium, 0.09; molybdenum, ; silicon, ; manganese, ; sulphur, 0.05; and phosphorus, 0.05%. Physical and mechanical properties of En24 steel are 1 : hardness, BHN; tensile strength, N/mm 2 ; melting point, 1500 C; density, 7840 kg/m 3 ; thermal conductivity, 41.9 W/m- C; and Young s Modulus, 207x10 9 N/m 2. Typical uses of En24 steel include automobile main shafts, axle shafts, push rods, studs, differential shafts, mandrel for tube production, gun barrels, various parts of machine tools such as spindle gears, power transmission gears, etc 1,2. Properties of En24 steel like low specific heat, tendency to get strain hardened and diffusion between tool and work material give rise to certain problems in its machining such as large cutting forces, high cutting tool temperatures, poor surface finish and built-up-edge formation, thereby making material difficult to machine 3-5. Shaw & Nakayama 4 recommended a cutting speed of 25 m/min with HSS tools and 165 m/min with carbide tools based on a depth of cut of 2.5 mm and a feed value of 0.25 mm/rev. Sarmah 5 *Author for correspondence hsingh_nitk@rediffmail.com found that the multi layer coated insert Widalon TK 15 with Al-O-N as the surface layer gives improved tool life and better surface finish at 247 m/min in spite of the insert experiencing high rake face temperature and stresses. TiC coated single layer insert TG was reported best flank wear resistant and TK 15 best crater wear resistant. Lo & Chen 6 studied the tool life in DC. hot machining of En24 steel using carbide tool in the speed range of m/min using response surface methodology (RSM). Kalnth et al 7 recommended an optimum heating current of 200 amperes for machining En24 steel at 80 m/min. Dearnley & Trent 8 found the flank and rake face wear rates of coated tools 10 to 100 times less than that of an uncoated carbide tool. Dearnley 9 found the aluminium oxide coating most resistant to rake face wear, being stable at elevated temperature, and titanium carbide coating as flank face wear resistant. Bose et al 10 concluded that coated tools with positive rake and in built chip breaker cause reduction of cutting forces and cutting temperature resulting in improved surface finish. A little research has been conducted to obtain mathematical models of machining characteristics for difficult to machine materials using response surface designs This paper attempts to obtain mathematical models of tool life (TL) and surface roughness (SR) for turning En 24 steel with titanium carbide coated carbide inserts using RSM.
2 SINGH & KUMAR: MATHEMATICAL MODELS OF TOOL LIFE AND SURFACE ROUGHNESS 221 Response Surface Methodology (RSM) In RSM 15, it is possible to represent independent factors in quantitative form. Then these factors can be thought of as having a functional relationship or response: Y = φ (X 1, X 2,...., X k ) ± e r (1) between the response Y and X 1, X 2,.... X k of k quantitative factors. Function φ is called response surface or response function. Residual e r measures experimental error 16. For a given set of independent variables, a characteristic surface is responded. In applying RSM, dependent parameter is viewed as a surface to which a mathematical model is fitted. For the development of regression equation, second order response surface has been assumed as: k k k = 2 bo + bi X i + bii X i + bij i= 1 i= 1 i< j= 2 Y X X ± e (2) Y contains linear, squared and cross product terms of variables X i s. Scheme based on central composite rotatable design is reported 17 to fit in second order response surfaces very accurately. Central Composite Second Order Rotatable Design In this design, standard error remains same at all the points that are equidistant from centre of the region. This criterion of rotatability can be explained as follows: Let the point (0, 0,... 0) represent centre of the region, in which the relation between Y and X is under investigation. From the results of any experiment the standard error, e r, of Y can be computed at any point on the fitted surface. This standard error will be a function of the co-ordinates X i s of the point. Due to rotatability condition, this standard error is same at all equidistant points with the distance ρ from centre of the region i.e. for all points for which 16 : X X X k 2 = ρ 2 = constant (3) A central composite rotatable design is subdivided into three parts: i) Points related to 2 k design, where k is the number of parameters and 2 is the number of levels, at which parameters are kept during experimentation. In present work, k = 3, so it results into (2 3 )= 8 experiments; ii) Extra points called star points positioned at a distance α from origin on both sides of the co-ordinate axes. For k < 5, α may be calculated by 2 k/4, whereas, for k 5, α is given by i j r Table 1 Components of central composite second order rotatable design Number of Factorial Star Center Total Value variables points points points N α K 2 k 2k n * * *Half replication α -Distance of the star points from the center 2 (k-1)/4 (Table 1). In present work, α turns out to be These points will result in 2k additional experiments. So, total additional experiments in the present work are 6; and iii) A few more points added at the centre to give roughly equal precision for response Y with a circle of radius one. For three parameters, six additional experiments need to be conducted at the origin. The total number of experiments in the present work is 8+6+6=20 (Fig. 1). Entire experimentation need not be replicated to find the error mean square, since this can be found out by replicating the centre points 15,18. Turning Process Parameters The identified process parameters affecting characteristics of turned parts are: i) Cutting tool parameters tool geometry and tool material; ii) Work piece related parameters- metallography, hardness, etc.; iii) Cutting parameters- cutting speed, feed rate, depth of cut; and iv) Environment parameters dry cutting and wet cutting Process parameters selected for study are cutting speed (A, m/min), feed rate (B, mm/rev) and depth of cut (C, mm). The following parameters were kept constant during entire experimentation: i) Tool material Widadur TG inserts; ii) Work material En 24 steel; and iii) Environment dry cutting. Ranges of selected turning process parameters (Fig. 2) were decided by conducting experiments and using one variable at a time approach 24. Experimental Procedure En24 alloy steel rods (90 mm diam, 500mm long) were turned on an H-22 centre lathe of Hindustan Machine Tools. TiC coated carbide inserts were used
3 222 J SCI IND RES VOL 66 MARCH 2007 Fig. 1 Experimental points for three variables Fig. 2 Ishikawa cause-effect diagram of a turning process
4 SINGH & KUMAR: MATHEMATICAL MODELS OF TOOL LIFE AND SURFACE ROUGHNESS 223 Table 2 Values of selected variables at different levels Variable Levels symbols A, m/min B, mm/rev C, mm Table 3 Experimental design values and average values of responses Sr. Randomized A B C TL SR No TL - Tool life, min; SR Surface roughness, ru to machine En24 steel (0.4%C) of 220 BHN. ISO designation of insert is SPUN and tool holder is CSBPR 2525 H 12. Observations (20) of TL, by measuring flank wear (width of wear land), were recorded using Large Tool Maker s microscope. For TL assessment, flank wear width was measured at an interval of 1 min and the flank wear criterion of 0.45 mm against 1 TL was applied. SR was measured for each run using a Philips roughness tester having a least count of 1 ru (0.025 µ). The levels at which the parameters were tested are given in Table 2. Experimental design values of process variables along with average values of TL and SR are given in Table 3. Results and Analysis Design Expert 7.0 software (dx7) was used for regression and graphical analysis 25. For analysis of the data, checking of goodness of fit of model is very much required. Model adequacy checking includes test for significance of regression model and on model coefficients, and test for lack of fit 26. Analysis of variance (ANOVA) is performed for this purpose. Analysis of Tool Life The fit summary recommended that linear model is statistically significant for analysis of TL. Model F- value of implies the model is significant (Table 4). There is only a 0.01% chance that a "Model F-Value" this large could occur due to noise. Values of "Prob > F" (< ) indicate model terms are significant. In this case A, B, C are significant model terms. Values more than indicate the model terms are not significant. "Lack of Fit F-value" of 0.15 implies the Lack of Fit is not significant relative to the pure error. There is a 99.51% chance that a "Lack of Fit F-value" this large could occur due to Table 4 Analysis of variance table for tool life Source Sum of squares df Mean square F value p-value Prob > F Model < (significant) A- Cutting speed < B- Feed rate < C- Depth of cut Residual Lack of fit (not significant) Pure error Cor. Total Standard deviation = 0.53, Mean = 19.65, Coefficient of variation % = 2.69, Predicted residual error of sum of squares (PRESS) = 5.79, R 2 = , R 2 adjusted = , Predicted R 2 = , Adequate precision =
5 224 J SCI IND RES VOL 66 MARCH 2007 noise. Non-significant lack of fit is good. Predicted R 2 of is in reasonable agreement with the adjusted R 2 of Adequate precision measures signal to noise ratio. A ratio more than 4 is desirable; ratio of indicates an adequate signal. This model can thus be used to navigate design space. Normal probability plot of residuals for TL (Fig. 3) shows that residuals are falling on a straight line, which means the errors are normally distributed. Final response equation in terms of coded factors is given as: TL = * A -0.88* B * C (4) The final response equation in terms of actual factors is given as: TL = * Cutting speed * Feed rate * Depth of cut (5) The developed response surface, within the experimental region, is as: TL = v f d ± (6) where TL = tool life, min; v = cutting speed, m/min; f = feed, mm/rev; d = depth of cut, mm. Analysis for Surface Roughness (SR) The fit summary recommended that the linear model is statistically significant for analysis of SR. Model F-value of implies the model is significant (Table 5). There is only a 0.01% chance that a "Model F-Value" this large could occur due to noise. Values of "Prob > F" (< ) indicate model terms are significant. In this case, A, B, C are significant model terms. The "Lack of Fit F-value" of 0.22 implies the Lack of Fit is not significant relative to the pure error. There is a 98.39% chance that a "Lack of Fit F-value" this large could occur due to noise. Non-significant lack of fit is good. The predicted R 2 of is in reasonable agreement with adjusted R 2 of Adequate precision measures the signal to noise ratio. A ratio more than 4 is desirable; ratio of indicates an adequate signal. This model can thus be used to navigate design space. Normal probability plot of the residuals for SR (Fig. 4) indicates that residuals are falling on a straight line, indicating that the errors are normally distributed. The final response equation in terms of coded factors is given as: SR = * A * B * C (7) The final response equation in terms of actual factors is given as: SR= * Cutting speed * Feed rate * Depth of cut (8) Fig. 3 Normal probability plot residuals for tool life Fig. 4 Normal probability plot residuals for surface roughness
6 SINGH & KUMAR: MATHEMATICAL MODELS OF TOOL LIFE AND SURFACE ROUGHNESS 225 Table 5 Analysis of variance table for surface roughness Source Sum of squares df Mean square F value p-value Prob > F Model < (significant) A- Cutting speed B- Feed rate < C- Depth of cut Residual Lack of fit (not significant) Pure error Cor. Total Standard deviation = 5.11, Mean = 95.50, Coefficient of variation % = 5.35, Predicted residual error of sum of squares (PRESS) = , R 2 = , R 2 adjusted = , Predicted R 2 = , Adequate precision = The developed response surface within the experimental region is as: SR = 3112 v f d 0.34 ± (9) where SR = surface roughness, ru; v = cutting speed, m/min; f = feed, mm/rev; and d = depth of cut, mm. The predicted values of TL ( min) and SR ( ru) in this case study are similar to reported values 27 of TL (20.19 min) and SR (81.38 ru) at 95 % confidence level. The results thus compare well with the present case study through RSM. Limitations of the Case Study The results of this case study are valid for En 24 steel and selected process variables and their specified range. Any extrapolation must be confirmed through further experimentation. Conclusions Models developed in this study can be used to predict tool life of titanium carbide coated tungsten carbide inserts and surface roughness obtainable for turning En 24 alloy steel provided process variables are within the specified range. The predicted values of the tool life and surface roughness are min and ru respectively. The effect of process variables on tool life and surface roughness can be further ascertained by plotting the developed models. References 1 Mottram R A & Woolman J, The Mechanical and Physical Properties of the British Standard EN Steels, 1st edn, vol 2, EN 21-EN 39 (Pergamon Press, Oxford) 1966, Robert R B, Metallic Materials, Specification Hand Book (McGraw-Hill, New York) 1968, Komanduri R, Schroeder T, Hazra J, von Turkovich B F & Flom D G, Catastrophic shear instability in high speed machining of AISI 4340 steels, Trans ASME, J Eng Ind, 104 (1982) Nakayama K & Shaw M C, Machining High Strength Materials, Annals of CIRP, 15 (1967) Sarmah B P, Some investigations into performance of CVDcoated indexable carbide inserts in machining of difficult to machine materials, Ph D Thesis, Mech. and Ind Engg Dept, University of Roorkee, Roorkee, India, Lo K C & Chen N N S, Prediction of tool life in hot machining of alloy steels, Int J Prod Res, 15 (1977) Kalnth G S, Sachdeva S C & Choudhary A P, An Experimental investigation into hot machining of En 24 steel, Proc AIMTDR Conf (IIT Bombay, Mumbai) 1978, Dearnley P A & Trent E M, Wear Mechanism of Coated Carbide Tools, Metal Technology, 9 (1982) Dearnley P A, Rake and flank wear mechanism of coated and uncoated carbide tools, ASME Trans, J Engg Mat & Technol, 107 (1985) Bose et al, Improved performances of coated carbide tools with positive rake and in-built chip breaker, Power Metallurgy Int, 17 (1985) Lambert B K & Taraman K, Development and utilization of a mathematical model of a turning operation, Int J Prod Res, 11 (1973) Taraman K, Multi-machining output multi-independent variable turning research by response surface methodology, Int J Prod Res, 12 (1974) Hassan G A & Suliman S M A, Experimental modelling and optimization of turning medium carbon steel, Int J Prod Res, 28 (1990) El Baradie M A, Surface roughness model for turning grey cast iron (154 BHN), Proc Instn Mech Engrs, 207 (1993) Cochran G & Cox G M, Experimental Design (Asia Publishing House, New Delhi) 1962, Box G E P & Hunter J S, Multifactor experimental design, J Ann Math Stat, 28 (1957) Box G E P, Hunter W G & Hunter J S, Statistics for Experimenters (Wiley, New York) 1978, Draper N R, Center points in second order response surface designs, Technometrics, 18 (1982)
7 226 J SCI IND RES VOL 66 MARCH Singh H & Kumar P, Multi-criteria optimization of machining parameters using the concept of fuzzy set logics, Proc 16th National Conv Mech Eners (University of Roorkee, Roorkee) 2000, Singh H, Kumar P & Singh I P, Effect of process parameters on surface roughness of turned parts using response surface methodology, Proc Int Conf Math Modelling (University of Roorkee, Roorkee) 2001, Singh H & Kumar P, Quality optimization of turned parts (EN24 Steel) by Taguchi Method, Productivity, 44 (2003) Singh H & Kumar P, Tool wear optimization in turning operation by Taguchi method, Indian J Eng Mater Sci, 11 (2004) Singh H & Kumar P, Effect on power consumption for turned parts using Taguchi technique, Productivity, 45 (2004) Singh H, Optimization of machining parameters for turned parts through Taguchi s technique, Ph D Thesis, Kurukshetra University, Kurukshetra, India, Design expert software, Version 7, Users Guide, Technical manual, Stat-Ease Inc. Minneapolis, MN, Montgomery D C, Peck E A & Vining G G, Introduction to Linear Regression Analysis, 3 rd edn (Wiley, New York) 2003, Singh H & Kumar P, Optimizing multi-machining characteristics through Taguchi s approach and utility concept, J Manuf Technol Manage, 17 (2006)
RESPONSE SURFACE METHODOLOGY IN FINISH TURNING INCONEL 718
RESPONSE SURFACE METHODOLOGY IN FINISH TURNING INCONEL 718 M. Aruna 1 Department of Mechanical Engineering, Velammal College of Engineering and Technology, Madurai, India. Dr. V. Dhanalakshmi 2 Department
More informationIdentification of Instabilities of the Chip Formation and It s Prediction Model During End Milling of Medium Carbon Steel (S45C)
American J. of Engineering and Applied Sciences 3 (1): 193-200, 2010 ISSN 1941-7020 2010 Science Publications Identification of Instabilities of the Chip Formation and It s Prediction Model During End
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 informationFINITE ELEMENTSIMULATION IN ORTHOGONAL MACHINING OF INCONEL 718 ALLOY
FINITE ELEMENTSIMULATION IN ORTHOGONAL MACHINING OF INCONEL 718 ALLOY P.DEEPAGANESH. ME CAD/CAM, Shanmuganathan Engineering College, Pudukottai. ABSTRACT Knowing the stringent operating conditions to which
More informationOptimized high speed turning on Inconel 718 using Taguchi method based Grey relational analysis
Indian Journal of Engineering & Materials Sciences Vol. 20, August 2013, pp. 269-275 Optimized high speed turning on Inconel 718 using Taguchi method based Grey relational analysis B Satyanarayana a *,
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 informationResearch Article Chip Thickness and Microhardness Prediction Models during Turning of Medium Carbon Steel
Hindawi Publishing Corporation Journal of Applied Mathematics Volume 2007, Article ID 51905, 12 pages doi:10.1155/2007/51905 Research Article Chip Thickness and Microhardness Prediction Models during Turning
More informationParametric Analysis of CNC EDM on OHNS Tool Steel
5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 214) December 12 th 14 th, 214, IIT Guwahati, Assam, India Parametric Analysis of CNC EDM on OHNS Tool
More informationAvailable online at ScienceDirect. Procedia Engineering 97 (2014 )
Available online at www.sciencedirect.com ScienceDirect Procedia Engineering 97 (2014 ) 308 319 12th GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT, GCMM 2014 Fuzzy Inference System for Prediction During
More informationRESPONSE PREDICTION IN MACHINING OF AISI 1040 STAINLESS STEEL USING ANN MODEL
RESPONSE PREDICTION IN MACHINING OF AISI 1040 STAINLESS STEEL USING ANN MODEL Shakti kumar, Rabeshkumar singh, AmitRai Dixit, Amitava Mandal and Alokkumar Das Department of Mechanical Engineering, Indian
More informationTool Wear when Finish Turning Inconel 718 under Dry Conditions
International Journal of Science Engineering and Technology Vol. 2, No. 3, 2009 ISSN: 1985-3785 Available online at: www.ijset.org 2009 ILRAM Publisher Tool Wear when Finish Turning Inconel 718 under Dry
More informationOptimization of Machining Parameters for Tool Wear Rate and Material Removal Rate in CNC turning by Grey Relational Analysis
Optimization of Machining Parameters for Tool Wear Rate and Material Removal Rate in CNC turning by Grey Relational Analysis Upinder Kumar* Assistant Professor, Department of Mechanical Engineering, Lovely
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 informationInvestigation of Surface Roughness and Flank Wear by CBN and PCBN Tools on Hard Cr-Mo Steel
Investigation of Surface Roughness and Flank Wear by CBN and PCBN Tools on Hard Cr-Mo Steel S.Thamizhmanii* and S.Hasan Abstract Hard turning is the latest technology and is used to turn hard materials
More informationManufacturing Technology I. Lecture 3. Fundamentals of Cutting
Manufacturing Technology I Lecture 3 Fundamentals of Cutting Prof. Dr.-Ing. F. Klocke Structure of the lecture Examples: turning of steel The cutting part - Terms and symbols The cutting operation Loads
More informationAnalytical Models for Tool Wear Prediction during AISI 1045 Turning Operations
Available online at www.sciencedirect.com Procedia CIRP 8 (013 ) 18 3 14 th CIRP Conference on Modeling of Machining Operations (CIRP CMMO) Analytical Models for Tool Wear Prediction during AISI 1045 Turning
More informationAlloy Steel Application Material Group
Alloy Steel Application Material Group 1.4 1.5 1.6 General Information Examples of Workpiece Materials - Categorisation into Application Material Groups (AMG) Application Material Group (AMG) Hardness
More informationParametric Optimization of Surface Roughness & Material Remove Rate of AISI D2 Steel For Turning
RESEARCH ARTICLE OPEN ACCESS Parametric Optimization Surfa Roughness & Material Remove Rate AISI D Steel For Turning Hitesh Patel*, Jigar Patel**, Chandresh Patel*** * PG Fellow, ** Assistant Pressor ***
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 informationExperimental Investigations for Optimized High Speed Turning on Inconel 718 using Taguchi method based Grey Relational Analysis
Experimental Investigations for Optimized High Speed Turning on Inconel 718 using Taguchi Method based Grey.. 73 Experimental Investigations for Optimized High Speed Turning on Inconel 718 using Taguchi
More informationMulti-Objective Optimization in CNC Turning of S45C Carbon Steel using Taguchi and Grey Relational Analysis Method
Multi-Objective Optimization in CNC Turning of S45C Carbon Steel using Taguchi and Grey Relational Analysis Method A. H. A. Shah *,1,a, A. I. Azmi 2 and A. N. M. Khalil 1 1 School of Manufacturing Engineering,Universiti
More informationExperimental evaluation of machining parameters in machining of 7075 aluminium alloy with cryogenic liquid nitrogen coolant
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Experimental evaluation of machining parameters in machining of 7075 aluminium alloy with cryogenic liquid nitrogen coolant To
More informationINTRODUCTION. Think HSS
INTRODUCTION Think HSS SUMMARY METALLURGY 2 Excellent strength 3 A super sharp edge 4 Safe and reliable tools Alloy elements 6 The influence of alloy elements 7 Standard compositions of HSS 8 The HSS-PM
More informationFinite Element Analysis of Single Point Cutting Tool
International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Finite Element Analysis of Single Point Cutting Tool S. H. Rathod 1, Mohd. Razik 2 1Pursuing M.E. Mechanical Engineering, Department,
More informationPREDICTION OF TOOL WEAR DURING TURNING OF EN9 WORK MATERIAL AGAINST COATED CARBIDE INSERT USING VIBRATION SIGNAL PROCESSING
IJRET: International Journal of Research in Engineering and Technology eissn: 239-63 pissn: 232-738 PREDICTION OF TOOL WEAR DURING TURNING OF EN9 WORK MATERIAL AGAINST COATED CARBIDE INSERT USING VIBRATION
More informationInternational Journal of Engineering Trends and Technology (IJETT) Volume 49 Number 7 July India.
Hard Turning with Wiper Ceramic Insert; Parametric Analysis and Optimization with Desirability Approach K.Venkata Subbaiah 1 Ch. Raju *2 R. S.Pawade 3 Ch. Suresh 4 1 Professor, Department of Mechanical
More informationAvailable online at ScienceDirect. Procedia CIRP 31 (2015 ) th CIRP Conference on Modelling of Machining Operations
Available online at www.sciencedirect.com ScienceDirect Procedia CIRP 31 (2015 ) 24 28 15th CIRP Conference on Modelling of Machining Operations Springback in metal cutting with high cutting speeds N.
More informationOptimization of Cutting Condition in the Turning of AISI D2 Steel by using Carbon Nanofiber Nanofluid
Optimization of Cutting Condition in the Turning of AISI D2 Steel by using Carbon Nanofiber Nanofluid Pay Jun Liew 1*, Ainusyafiqah Shaaroni, Jeefferie Abd Razak, Mohd Shahir Kasim and Mohd Amri Sulaiman
More informationPREDICTION MODELLING FOR THE REMAINING USEFUL LIFE OF WORN TURNING OF EN24 STEEL USING REGRESSION AND ANN
International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 8, August 2017, pp. 301 310, Article ID: IJMET_08_08_034 Available online at http://www.ia aeme.com/ijmet/issues.asp?jtype=ijmet&vtyp
More informationEffect of surface treatments on wear resistance of spring steel wire as a work-piece material of a fishing net-weaving machine component
Indian Journal of Engineering & Materials Sciences Vol. 23, February 2016, pp. 79-87 Effect of surface treatments on wear resistance of spring steel wire as a work-piece material of a fishing net-weaving
More informationProduction & Process Optimization of Micro Alloyed Steel Roller Shaft of an Under Carriage
From the SelectedWorks of Innovative Research Publications IRP India Summer July 1, 2015 Production & Process Optimization of Micro Alloyed Steel Roller Shaft of an Under Carriage S. Gajanana Kulkarni
More informationPrashant et al, International Journal of Advanced Engineering Research and Studies E-ISSN
Research Paper OPTIMIZATION OF SURFACE ROUGHNESS OF ALLOY STEEL BY CHANGING OPERATIONAL PARAMETERS AND INSERT GEOMETRY IN THE TURNING PROCESS Jakhale Prashant P, Jadhav B. R. Address for Correspondence
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 informationMATHEMATICAL MODELLING OF SURFACE ROUGHNESS ON MACHINING OF AA6061-BORONCARBIDE COMPOSITE IN EDM THROUGH RSM. K.R. Thangadurai 1 * and A.
International Journal of Mechanical and Materials Engineering (IJMME), Vol. 7 (2012), No. 3, 197-202. MATHEMATICAL MODELLING OF SURFACE ROUGHNESS ON MACHINING OF AA6061-BORONCARBIDE COMPOSITE IN EDM THROUGH
More informationMachinability studies on INCONEL 718
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Machinability studies on INCONEL 718 To cite this article: M Anthony Xavior et al 2016 IOP Conf. Ser.: Mater. Sci. Eng. 149 012019
More informationCutting Tool Materials and Cutting Fluids. Dr. Mohammad Abuhaiba
Cutting Tool Materials and Cutting Fluids HomeWork #2 22.37 obtain data on the thermal properties of various commonly used cutting fluids. Identify those which are basically effective coolants and those
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 informationTA202A: Introduction to. N. Sinha Department of Mechanical Engineering IIT Kanpur
TA202A: Introduction to Manufacturing Processes N. Sinha Department of Mechanical Engineering IIT Kanpur Email: nsinha@iitk.ac.in Processing Operations Alters a material s shape, physical properties,
More informationKeeping the Customer First. Tungaloy Catalogue TE0707-E2. Cutting Tools.
Keeping the Customer First Tungaloy Catalogue TE0707-E2 2007 Cutting Tools www.tungaloy-eu.com Selection Guides List of... 410 Selection Guides... 412 Specifications Solid Carbide s For High Speed Deep
More informationOptimising Process Conditions in MIG Welding of Aluminum Alloys Through Factorial Design Experiments
Optimising Process Conditions in MIG Welding of Aluminum Alloys Through Factorial Design Experiments OMAR BATAINEH (first and corresponding author); ANAS AL-SHOUBAKI; OMAR BARQAWI Department of Industrial
More informationSpecification ALLOYED STEEL FOR QUENCHING AND TEMPERING, HIGH STRENGTH All.steel f.quen.a.temp, h.str.
Class: Heat-treatable steel Specification 16-09 ALLOYED STEEL FOR QUENCHING AND TEMPERING, HIGH STRENGTH Class No.:11 JED 723 Previous Edition Abbreviated Title 15-07 All.steel f.quen.a.temp, h.str. 8
More informationPredicting Surface Roughness, Tool Wear and MMR in Machining Inconel 718: A Review
Predicting Surface Roughness, Tool Wear and MMR in Machining Inconel 718: A Review Prof. S.C.Borse Assistant Professor, Department of Mechanical Engineering, DIEMS, Aurangabad, Maharashtra Abstract- Increasing
More informationHIGH PERFORMANCE MANUFACTURING ASPECT OF HARD-TO-MACHINE MATERIALS
Advances in Production Engineering & Management 4 (2009) 1-2, 3-14 ISSN 1854-6250 Scientific paper HIGH PERFORMANCE MANUFACTURING ASPECT OF HARD-TO-MACHINE MATERIALS Kramar, D. & Kopac, J. Faculty of Mechanical
More informationUDDEHOLM VIDAR 1 ESR
UDDEHOLM VIDAR 1 ESR This information is based on our present state of knowledge and is intended to provide general notes on our products and their uses. It should not therefore be construed as a warranty
More informationAuthors Pappu Kumar 1, Prof. Prakash Kumar 2 1 Post Graduate Scholar, Deptt. of Production Engg., B.I.T, Sindri, Dhanbad, Jharkhand , India.
Volume 4 Issue 11 November-2016 Pages-6053-6058 ISSN(e):2321-7545 Website: http://ijsae.in DOI: http://dx.doi.org/10.18535/ijsre/v4i11.08 Optimization of Parameter (Mig ) Using Taguchi Method Authors Pappu
More informationTribology in Industry. PVD-Alumina Coatings on Cemented Carbide Cutting Tools: A Study About the Effect on Friction and Adhesion Mechanism
Vol. 34, N o 1 (2012) 24-28 Tribology in Industry www.tribology.fink.rs RESEARCH PVD-Alumina Coatings on Cemented Carbide Cutting Tools: A Study About the Effect on Friction and Adhesion Mechanism S.E.
More informationInternational Journal of Mechanical Engineering and Applications
International Journal of Mechanical Engineering and Applications 2016; 4(3): 109-114 http://www.sciencepublishinggroup.com/j/ijmea doi: 10.11648/j.ijmea.20160403.12 ISSN: 2330-023X (Print); ISSN: 2330-0248
More informationInvestigating Flank Wear and Cutting Force on Hard Steels by CBN Cutting Tool by Turning
Proceedings of the World Congress on Engineering 8 Vol III WCE 8, July 2-4, 8, London, U.K. Investigating Flank Wear and Cutting Force on Hard Steels by CBN Cutting Tool by Turning SThamizhmanii* and S.Hasan
More informationOPTIMIZATION OF CNC MACHINING PARAMETERS FOR SURFACE ROUGHNESS IN TURNING OF ALUMINIUM 6063 T6 WITH RESPONSE SURFACE METHODOLOGY
SSRG International Journal of Mechanical Engineering - (ICCREST'7) - Special Issue - March 207 OPTIMIZATION OF CNC MACHINING PARAMETERS FOR SURFACE ROUGHNESS IN TURNING OF ALUMINIUM 6063 T6 WITH RESPONSE
More informationMACHINES DESIGN SSC-JE STAFF SELECTION COMMISSION MECHANICAL ENGINEERING STUDY MATERIAL MACHINES DESIGN
1 SSC-JE STAFF SELECTION COMMISSION MECHANICAL ENGINEERING STUDY MATERIAL C O N T E N T 2 1. MACHINE DESIGN 03-21 2. FLEXIBLE MECHANICAL ELEMENTS. 22-34 3. JOURNAL BEARINGS... 35-65 4. CLUTCH AND BRAKES.
More informationModelling And Study Of Chip Tool Interactions With High Velocity Air Jet As Cooling Media
IOSR Journal of Engineering (IOSRJEN) e-issn: 2250-3021, p-issn: 2278-8719 Vol. 3, Issue 9 (September. 2013), V1 PP 16-25 Modelling And Study Of Chip Tool Interactions With High Velocity Air Jet As Cooling
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 informationTool Wear Detection of Cutting Tool Using Matlab Software
International Journal of Engineering and Technical Research (IJETR) Tool Wear Detection of Cutting Tool Using Matlab Software S.P. Patil, D. M. Tilekar Abstract Tool wear in machining processes is directly
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 informationREGRESSION MODELING AND PROCESS ANALYSIS OF RESISTANCE SPOT WELDED JOINTS
5 th International & 26 th All India Manufacturing Technology, Design and Research Conference (AIMTDR 214) December 12 th 14 th, 214, IIT Guwahati, Assam, India Abstract REGRESSION MODELING AND PROCESS
More informationModule 3 Machinability. Version 2 ME IIT, Kharagpur
Module 3 Machinability Lesson 14 Failure of cutting tools and tool life Instructional objectives At the end of this lesson, the students will be able to (i) (ii) (iii) (iv) (v) State how the cutting tools
More informationUDDEHOLM NIMAX. Nimax is a trade mark registered in the European Union and in the U.S.
UDDEHOLM NIMAX Reliable and efficient tool steel is essential for good results. The same goes for achieving high productivity and high availability. When choosing the right steel many parameters must be
More informationAlloys SUPER SQUARE
Alloys ETD 150...8-2 ETD 150 Rounds...8-2 AISI 4140/41L40 - Annealed...8-3 AISI 4140 - Annealed Flats And Squares... 8-4 thru 8-5 AISI 4140 - Annealed Rounds... 8-5 thru 8-6 AISI 4140 Rounds HR Q&T...8-7
More informationUDDEHOLM RAMAX LH. Uddeholm Ramax LH is a part of the Uddeholm Stainless Concept.
UDDEHOLM RAMAX LH TAKING STANDARDS TO A NEW LEVEL Setting standards is important in the tooling industry. Uddeholm Ramax LH is no exception. It is a first class tool steel for mould bases, with excellent
More informationUddeholm Vanax SuperClean. Uddeholm Vanax SuperClean
Uddeholm Vanax SuperClean 1 Vanax is a trade mark registered in the European Union and in the U.S. UDDEHOLMS AB No part of this publication may be reproduced or transmitted for commercial purposes without
More informationPRELIMINARY BROCHURE. Uddeholm Vanadis 8 SuperClean
PRELIMINARY BROCHURE Uddeholm Vanadis 8 SuperClean UDDEHOLMS AB No part of this publication may be reproduced or transmitted for commercial purposes without permission of the copyright holder. This information
More informationInfluence of Energy Distribution and Process Parameters on Tool Wear in Electrical Discharge Machining
I J C T A, 9(37) 2016, pp. 353-359 International Science Press Influence of Energy Distribution and Process Parameters on Tool Wear in Electrical Discharge Machining T. Muthuramalingam *, S. Vasanth **
More informationAISI A2 Cold work tool steel
T OOL STEEL FACTS AISI A2 Cold work tool steel Great Tooling Starts Here! General AISI A2 is an air- or oil hardening chromiummolybdenum-vanadium alloyed tool steel characterized by: Good machinability
More informationEmpirical model for Surface Roughness in hard turning based on Analysis of Machining Parameters and Hardness values of various Engineering Materials
3091-3097 Empirical model for Surface Roughness in hard turning based on Analysis of Machining Parameters and Hardness values of various Engineering Materials K. Arun Vikram #@, Ch. Ratnam * # K. Arun
More informationATI 718 ATI 718. Technical Data Sheet. Nickel-Base Superalloy INTRODUCTION FORMS AND CONDITIONS AVAILABLE SPECIFICATIONS. (UNS Designation N07718)
ATI 718 Nickel-Base Superalloy (UNS Designation N07718) INTRODUCTION ATI 718 alloy (N07718) is an austenitic nickel-base superalloy which is used in applications requiring high strength to approximately
More informationExperimental Analysis of Surface Roughness in CNC Turning of Aluminium Using Response Surface Methodology
Eperimental Analysis of Surface Roughness in CNC Turning of Aluminium Using Response Surface Methodology Ranganath. M. S. a *, Vipin a, Nand Kur b, Rakesh Kur c a Department of Production and Industrial
More informationEffect of electrical pulse parameters on the machining performance in EDM
Indian Journal of Engineering & Materials Sciences Vol. 18, December 2012, pp. 411-415 Effect of electrical pulse parameters on the machining performance in EDM M Gostimirovic*, P Kovac, B Skoric & M Sekulic
More informationJongen UNI-MILL VHC milling cutter
Jongen Werkzeugtechnik Jongen UNI-MILL VHC milling cutter Trochoidal milling at the highest level Jongen UNI-MILL VHC milling cutter Static and dynamic "trochoidal milling" is a combination of circular
More informationMACHINING CHARACTERISTICS OF AUSTEMPERED DUCTILE IRON
MACHINING CHARACTERISTICS OF AUSTEMPERED DUCTILE IRON Ashwin Polishetty, Sarat Singamneni, Guy Littlefair Abstract Austempered Ductile Iron (ADI) is a Spheroidal Graphite Iron (SGI) modified by a specialised
More informationHeat treatment and effects of Cr and Ni in low alloy steel
Bull. Mater. Sci., Vol. 34, No. 7, December 2011, pp. 1439 1445. Indian Academy of Sciences. Heat treatment and effects of Cr and Ni in low alloy steel MOHAMMAD ABDUR RAZZAK Materials and Metallurgical
More informationGrade Etch color C Si Mn Cr Mo P S Ni. 416 Dark 0,22 <1 <1,25 13 <0,6 <0,06 0, Bright 0,23 <1 < <0,04 0,03 3
Stainless damascus barrel steel for rifles Damasteel s stainless Barrel steel is a RSP (Rapid Solidification Powder) based steel with AISI 416/431 as the constituent alloys. The steel is developed and
More informationDHC. Differential Helix Cutter
DHC Differential Helix Cutter Universal Short and Long End Mills for the Highest Productivity in Roughing and Finishing Applications (Standard & with Corner Radius) 2 x d 1 x d DHC (Differential Helix
More informationChip-Tool Interface Temperature Prediction Model for Turning Process
Chip-Tool Interface Temperature Prediction Model for Turning Process L.B.ABHANG* and M. HAMEEDULLAH Mechanical engineering department, Aligarh Muslim University, Aligarh, India ABSTRACT In this research
More informationGreen Machining of Titanium Alloy Using Uncoated and Multilayer PVD-Coated Carbide Tools: Wear Mode, Wear Mechanism and Performance
Hamidah Harahap / Jurnal Teknologi Proses 5(2) Juli 2006: 81 83 84 Jurnal Teknologi Proses Media Publikasi Karya Ilmiah Teknik Kimia 5(2) Juli 2006: 84 91 ISSN 1412-7814 Green Machining of Titanium Alloy
More informationApplication of Design of Experiment (DOE) Method for Optimum Parameters of Mahindra Bolero Leaf Spring
ISSN (Online): 2456-1290 Application of Design of Experiment (DOE) Method for Optimum Parameters of Mahindra Bolero Leaf Spring [1] Chaitali Chaudhari, [2] Supriya Chaudhari, [3] Akshay Dalvi, [4] Mayuri
More informationOptimization of Process Parameters of Pressure Die Casting using Taguchi Methodology
Optimization of Process Parameters of Pressure Die using Taguchi Methodology Satish Kumar, Arun Kumar Gupta, Pankaj Chandna Abstract The present work analyses different parameters of pressure die casting
More informationUddeholm Formvar. FORMVAR is a trade mark registered in the European Union
Uddeholm Formvar FORMVAR is a trade mark registered in the European Union UDDEHOLMS AB No part of this publication may be reproduced or transmitted for commercial purposes without permission of the copyright
More informationMachinability is the ease with which a given material may be worked with a cutting tool
Machinability Machinability is the ease with which a given material may be worked with a cutting tool Machinability ratings (MR) provide and understanding of the severity of a metalworking operation in
More informationAn Investigation of Adhesion Wear Behavior of Tool Steel on Blanking Die
2011 International Conference on Advanced Materials Engineering IPCSIT vol.15 (2011) (2011) IACSIT Press, Singapore An Investigation of Adhesion Wear Behavior of Tool Steel on Blanking Die Komgrit Lawanwong
More informationMULTI-RESPONSE OPTIMIZATIONS FOR HIGH SPEED DUCTILE MODE MACHINING OF SODA LIME GLASS
MULTI-RESPONSE OPTIMIZATIONS FOR HIGH SPEED DUCTILE MODE MACHINING OF SODA LIME GLASS Nasima Bagum, A. K. M. Nurul Amin, Mohamed Konneh and Noor Fathiah Department of Manufacturing and Materials Engineering,
More informationMathew et al., International Journal of Advanced Engineering Technology E-ISSN
Research Paper STUDY OF MATERIAL REMOVAL RATE OF DIFFERENT TOOL MATERIALS DURING EDM OF H11 STEEL AT REVERSE POLARITY Nibu Mathew 1*, Dinesh Kumar 2, Naveen Beri 3, Anil Kumar 3 Address for Correspondence
More informationDissimilar Metals DISSIMILAR METALS. Weld Tech News VOL 1. NO. 14
Dissimilar Metals Weld Tech News VOL 1. NO. 14 WELD TECH NEWS is a newsletter for welders working primarily in maintenance and repair. Each issue contains useful information on materials (cast irons, steels,
More informationRAMAX 2. Prehardened stainless holder steel
RAMAX 2 Prehardened stainless holder steel This information is based on our present state of knowledge and is intended to provide general notes on our products and their uses. It should not therefore be
More informationVanax SuperClean. Uddeholm Vanax SuperClean
Vanax SuperClean Uddeholm Vanax SuperClean ASSAB is a trademark of voestalpine High Performance Metals Pacific Pte Ltd. The information contained herein is based on our present state of knowledge and is
More informationOPTIMIZATION OF TIG WELDING PROCESS PARAMETERS USING TAGUCHI S ANALYSIS AND RESPONSE SURFACE METHODOLOGY
International Journal of Mechanical Engineering and Technology (IJMET) Volume 8, Issue 11, November 2017, pp. 932 941, Article ID: IJMET_08_11_094 Available online at http://www.iaeme.com/ijmet/issues.asp?jtype=ijmet&vtype=8&itype=11
More informationHot Forging Behaviour of Sintered AISI 8720 P/M Steels
Hot Forging Behaviour of Sintered AISI 8720 P/M Steels 1 L. Arulmani, 2 K.S. Pandey 1 Dept. of Mechanical Engineering, R.R. Institute of Technology, Bangalore, India. 2 Department of Metallurgical and
More informationQRO 90 SUPREME Hot work tool steel
T O O L S T E E L F A C T S QRO 90 Hot work tool steel Great Tooling Starts Here! Cover photo: Bo Dahlgren This information is based on our present state of knowledge and is intended to provide general
More informationOptimization of the Cutting Parameters of SS 304 for CNC Turning Operation
Optimization of the Cutting Parameters of SS 304 for CNC Turning Operation Basil M. Eldhose P G Scholar, Department of Mechanical Engineering, Mar Athnasius College of Engineering, Kothamangalam, Ernakulam,
More informationThese elements are in carbon steels in minimal amounts, usually less than 1%.
Alloy Steels Weld Tech News VOL 1. NO. 11 WELD TECH NEWS is a newsletter for welders working primarily in maintenance and repair. Each issue contains useful information on materials (cast irons, steels,
More informationMK / RK Chip Breaker. Turning Solution for Cast Iron NC6315. MK Chip Breaker. RK Chip Breaker
MK / Chip Breaker MK Chip Breaker (For medium ) Turning Solution for Cast Iron Advanced turning solution for cast iron under high speed, high feed, and interrupted conditions Higher Wear and Chipping Resistance
More informationInvestigation of MRR and TWR on High Speed Steel Using Copper and Brass Electrode for EDM
Investigation of MRR and TWR on High Speed Steel Using Copper and Brass Electrode for EDM Ravindra Kumar Singh 1, Amit Kumar 2, Avdesh Chandra Dixit 3, Rahul Bajpai 4 P.G. Student, Department of Mechanical
More informationThe best of both worlds
The best of both worlds CoroMill 210 the ultimate roughing cutter for modern machining techniques Use CoroMill 210 for plunge milling to mill away large volumes of metal or for high feed milling of flat
More informationOptimization of WEDM Process Parameters on Titanium Alloy Using Taguchi Method
Vol. 3, Issue. 4, Jul. - Aug. 13 pp-2281-2286 ISSN: 2249-6645 Optimization of WEDM Process Parameters on Titanium Alloy Using Taguchi Method Lokeswara Rao T. 1, N. Selvaraj 2 1 Ph. D Research Scholar,
More informationIn-Process measurement of friction coefficient in orthogonal cutting
Research Collection Journal Article In-Process measurement of friction coefficient in orthogonal cutting Author(s): Smolenicki, Darko; Boos, J.; Kuster, Friedrich; Züst, Rainer; Roelofs, H.; Wyen, Carl-Frederik
More informationA Study of Effects of MQL by Vegetable Oil on Cutting Temperature, Chips and Cutting Forces in Turning AISI-1060 Steel
Proceedings of All India Seminar on Recent Advances in Manufacturing Technologies October 22-23, 2005, NIT, Rourkela, Orissa, India A Study of Effects of MQL by Vegetable Oil on Cutting Temperature, Chips
More informationMACHINING CHARACTERISTICS OF LASER ASSISTED MICRO MILLING (LAµM) ON Ti6Al4V USING MICRO BALL MILLING TOOL
VOL. 11, NO. 12, JUNE 16 ISSN 1819-668 6-16 Asian Research Publishing Network (ARPN). All rights reserved. MACHINING CHARACTERISTICS OF LASER ASSISTED MICRO MILLING (LAµM) ON Ti6Al4V USING MICRO BALL MILLING
More informationGreen Cutting using Supersonic Air Jets as Coolant and Lubricant during Turning
Green Cutting using Supersonic Air Jets as Coolant and Lubricant during Turning Andrea Bareggi (bareggia@tcd.ie), Prof. Andrew Torrance, Garret O Donnell Mechanical & Manufacturing Engineering, Trinity
More informationComparative Assessment of Wiper and Conventional Carbide Inserts on Surface Roughness in the Turning of High Strength Steel
Journal of Materials Science Research; Vol. 5, No. 1; 2016 ISSN 1927-0585 E-ISSN 1927-0593 Published by Canadian Center of Science and Education Comparative Assessment of Wiper and Conventional Carbide
More informationVDM Alloy 80 A Nicrofer 7520 Ti
VDM Alloy 80 A Nicrofer 7520 Ti Material Data Sheet No. 4048 February 2017 February 2017 VDM Alloy 80 A 2 VDM Alloy 80 A Nicrofer 7520 Ti VDM Alloy 80 A is a nickel-chromium alloy that can be age-hardened.
More informationCost reduction through Performance. SHARK-CUT + SHARK-CUT Rebore. Introducing Shark-Cut Rebore Tools and Inserts for boring
Introducing SharkCut Rebore Tools and Inserts for boring www.arno.de Due to the unique positioning and insert geometry excellent hole quality is achieved also for deeper holes. Easy handling and efficient
More information