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Abstract
The present study focused on mathematical modeling, multi response optimization, tool life, and economical analysis in finish hard turning of AISI D2 steel ((55 ± 1) HRC) using CVD-coated carbide (TiN/TiCN/Al2O3) and uncoated carbide inserts under dry environmental conditions. Regression methodology and the grey relational approach were implemented for modeling and multi-response optimization, respectively. Comparative economic statistics were carried out for both inserts, and the adequacy of the correlation model was verified. The experimental and predicted values for all responses were very close to each other, implying the significance of the model and indicating that the correlation coefficients were close to unity. The optimal parametric combinations for Al2O3 coated carbide were d1–f1–v2 (depth of cut = 0.1 mm, feed = 0.04 mm/r and cutting speed = 108 m/min), and those for the uncoated tool were d1–(0.1 mm)–f1 (0.04 mm/r)–v1 (63 m/min). The observed tool life for the coated carbide insert was 15 times higher than that for the uncoated carbide insert, considering flank wear criteria of 0.3 mm. The chip volume after machining for the coated carbide insert was 26.14 times higher than that of the uncoated carbide insert and could be better utilized for higher material removal rate. Abrasion, diffusion, notching, chipping, and built-up edge have been observed to be the principal wear mechanisms for tool life estimation. Use of the coated carbide tool reduced machining costs by about 3.55 times compared to the use of the uncoated carbide insert, and provided economic benefits in hard turning.
Keywords
Machinability
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Hard turning
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Regression
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Grey relational analysis
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Tool life
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Economic analysis
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Ramanuj Kumar, Ashok Kumar Sahoo, Purna Chandra Mishra, Rabin Kumar Das.
Comparative study on machinability improvement in hard turning using coated and uncoated carbide inserts: part II modeling, multi-response optimization, tool life, and economic aspects.
Advances in Manufacturing, 2018, 6(2): 155-175 DOI:10.1007/s40436-018-0214-0
| [1] |
Chinchanikar S, Choudhary SK. Machining of hardened steel-experimental-experimental investigations, performance modeling and cooling technique: a review. Int J Mach Tools Manuf, 2015, 89: 95-109.
|
| [2] |
Gaitonde VN, Karnik SR, Figueira L, et al. Machinability investigations in hard turning of AISI D2 cold work tool steel with conventional and wiper ceramic inserts. Int J Refract Met Hard Mater, 2009, 27: 754-763.
|
| [3] |
Das SR, Dhupal D, Kumar A. Experimental investigation into machinability of hardened AISI 4140 steel using TiN coated ceramic tool. Measurement, 2015, 62: 108-126.
|
| [4] |
Bouacha K, Yallese MA, Mabrouki T, et al. Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool. Int J Refract Met Hard Mater, 2010, 28: 349-361.
|
| [5] |
Suresh R, Basavarajappa S, Gaitonde VN, et al. Machinability investigations on hardened AISI 4340 steel using coated carbide insert. Int J Refract Met Hard Mater, 2012, 33: 75-86.
|
| [6] |
Davim JP, Figueira L. Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques. Mater Des, 2007, 28: 1186-1191.
|
| [7] |
Davim JP, Figueira L. Comparative evaluation of conventional and wiper ceramic tools on cutting forces, surface roughness, and tool wear in hard turning AISI D2 steel. Proc Inst Mech Eng B: J Eng Manuf, 2007, 221(4): 625-633.
|
| [8] |
Lima JG, Ávila RF, Abrão AM, et al. Hard turning: AISI 4340 high strength low alloy steel and AISI D2 cold work tool steel. J Mater Process Technol, 2005, 169: 388-395.
|
| [9] |
Madić M, Radovanović M. Modeling and analysis of correlations between cutting parameters and cutting force components in turning AISI 1043 steel using. J Braz Soc Mech Sci Eng, 2013, 35: 111-121.
|
| [10] |
Mandal N, Doloi B, Mondal B, et al. Optimization of flank wear using zirconia toughened alumina (ZTA) cutting tool: Taguchi method and regression analysis. Measurement, 2011, 44: 2149-2155.
|
| [11] |
Aouici H, Yallese MA, Chaoui K, et al. Analysis of surface roughness and cutting force components in hard turning with CBN tool: prediction model and cutting conditions optimization. Measurement, 2012, 45: 344-353.
|
| [12] |
Suresh R, Basavarajappa S, Samuel GL. Some studies on hard turning of AISI 4340 steel using multilayer coated carbide tool. Measurement, 2012, 45: 1872-1884.
|
| [13] |
Sahoo AK, Sahoo B. Performance studies of multilayer hard surface coatings (TiN/TiCN/Al2O3/TiN) of indexable carbide inserts in hard machining: Part-II (RSM, grey relational and techno economical approach). Measurement, 2013, 46: 2868-2884.
|
| [14] |
Makadia AJ, Nanavati JI. Optimisation of machining parameters for turning operations based on response surface methodology. Measurement, 2013, 46(4): 1521-1529.
|
| [15] |
Chinchanikar S, Choudhary SK. Effect of work material hardness and cutting parameters on performance of coated carbide tool when turning hardened steel: an optimization approach. Measurement, 2013, 46: 1572-1584.
|
| [16] |
Selvaraj DP, Chandramohan P, Mohanraj M. Optimization of surface roughness, cutting force and tool wear of nitrogen alloyed duplex stainless steel in a dry turning process using Taguchi method. Measurement, 2014, 49(11): 205-215.
|
| [17] |
Mandal N, Doloi B, Mondal B. Predictive modeling of surface roughness in high speed machining of AISI 4340 steel using yttria stabilized zirconia toughened alumina turning insert. Int J Refract Met Hard Mater, 2013, 38: 40-46.
|
| [18] |
Chinchanikar S, Choudhary SK. Investigations on machinability aspects of hardened AISI 4340 steel at different levels of hardness using coated carbide tools. Int J Refract Met Hard Mater, 2013, 38: 124-133.
|
| [19] |
Sahin Y, Motorcu AR. Surface roughness model in machining hardened steel with cubic boron nitride cutting tool. Int J Refract Met Hard Mater, 2008, 26: 84-90.
|
| [20] |
Agrawal A, Goel S, Rashid WB, et al. Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC). Appl Soft Comput, 2015, 30: 279-286.
|
| [21] |
Aouici H, Yallese MA, Fnides B, et al. Modeling and optimization of hard turning of X38CrMoV5-1 steel with CBN tool: machining parameters effects on flank wear and surface roughness. J Mech Sci Technol, 2011, 25(11): 2843-2851.
|
| [22] |
Gopalsamy BM, Mondal B, Ghosh S. Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA. Int J Adv Manuf Technol, 2009, 45: 1068-1086.
|
| [23] |
Asiltürk I, Akkuş H. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement, 2011, 44: 1697-1704.
|
| [24] |
Bartarya G, Choudhury SK. Influence of machining parameters on forces and surface roughness during finish hard turning of EN 31 steel. Proc Inst Mech Eng B J Eng Manuf, 2014, 228(9): 1068-1080.
|
| [25] |
Bouacha K, Yallese MA, Khamel S, et al. Analysis and optimization of hard turning operation using cubic boron nitride tool. Int J Refract Met Hard Mater, 2014, 45: 160-178.
|
| [26] |
Günay M, Yücel E. Application of Taguchi method for determining optimum surface roughness in turning of high-alloy white cast iron. Measurement, 2013, 46: 913-919.
|
| [27] |
Khamel S, Ouelaa N, Bouacha K. Analysis and prediction of tool wear, surface roughness and cutting forces in hard turning with CBN tool. J Mech Sci Technol, 2012, 26(11): 3605-3616.
|
| [28] |
Ahilan C, Kumanan S, Sivakumaran N, et al. Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools. Appl Soft Comput, 2013, 13(3): 1543-1551.
|
| [29] |
Sahin Y. Comparison of tool life between ceramic and cubic boron, nitride (CBN) cutting tools when machining hardened steels. J Mater Process Technol, 2009, 209(7): 3478-3489.
|
| [30] |
Kumar P, Chauhan SR. Machinability study on finish turning of AISI H13 hot working die tool steel with cubic boron nitride (CBN) cutting tool inserts using response surface methodology (RSM). Arab J Sci Eng, 2015, 40: 1471-1485.
|
| [31] |
Das A, Mukhopadhyay A, Patel SK, et al. Comparative assessment of machinability aspects of AISI 4340 alloy steel using uncoated carbide and coated cermet inserts during hard turning. Arab J Sci Eng, 2016, 41: 4531-4552.
|
| [32] |
Kamruzzaman M, Rahman SS, Ashraf MZI, Dhar NR. Modeling of chip-tool interface temperature using response surface methodology and artificial neural network in HPC-assisted turning and tool life investigation. Int J Adv Manuf Technol, 2017, 90(5–8): 1547-1568.
|
| [33] |
Sahoo AK, Mishra PC. A response surface methodology and desirability approach for predictive modeling and optimization of cutting temperature in machining hardened steel. Int J Ind Eng Comput, 2014, 5(3): 407-416.
|
| [34] |
Montgomery DC. Design and analysis of experiments, 1997, 4 New York: Wiley.
|
| [35] |
Süleyman N, Süleyman Y, Erol T. Optimization of tool geometry parameters for turning operations based on the response surface methodology. Measurement, 2011, 44: 580-587.
|
| [36] |
Sahoo P, Barman TK, Routra BC. Fractal dimension modelling of surface profile and optimisation in CNC end milling using response surface method. Int J Manuf Res, 2008, 3: 360-377.
|
| [37] |
More AS, Jiang W, Brown WD, et al. Tool wear and machining performance of CBN-TiN coated carbide inserts and PCBN compact inserts in turning AISI 4340 hardened steel. J Mater Process Technol, 2006, 180: 253-262.
|
Funding
All India Council for Technical Education http://dx.doi.org/10.13039/501100001427(8-154/RIFD/RPS/POLICY-4/2013-14)