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International Journal on Interactive Design and Manufacturing (IJIDeM)

11.07.2022 | Original Paper

Design, modeling and parametric optimization of WEDM of Inconel 690 using RSM-GRA approach

verfasst von: A. Raj, J. P. Misra, D. Khanduja, K. K. Saxena, V. Malik

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM)

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Abstract

Wire electric-discharge machining (WEDM) is the most desirable material processing technique for making complex designs, especially in hard-to-machine conductive materials with high fidelity and accuracy. Current study aims to streamline the WEDM parameters to process Inconel 690. Experimental trials are effectuated using Box-Behnken design of response surface methodology. Processing conditions of parameters are varied to scrutinize the performance of the technique. Federated mode of analysis of variance and grey relational analysis (GRA) are implemented to the study the significance and streamlining of the parameters respectively, to attain increasing material removal rate and small surface roughness for inconel 690 which is highly preferred for nuclear reactor and gas turbine industry. After applying GRA technique, streamlined condition of parameters is found which gives results with acceptable error. Surface topography of the post processed workpiece is also anatomize using scanning electron microscopy.

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Literatur
1.
Sreenivasa Rao, M., Venkaiah, N.: A modified cuckoo search algorithm to optimize Wire-EDM process while machining Inconel-690. J. Braz. Soc. Mech. Sci. Eng. 39, 1647–1661 (2017)CrossRef
2.
Sreenivasa Rao, M., Venkaiah, N.: Experimental investigations on surface integrity issues of Inconel-690 during wire-cut electrical discharge machining process. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 232, 731–741 (2018)CrossRef
3.
Das, A., Misra, J.P.: Modelling and parametric optimisation of deposited layer thickness in electric discharge coating process. Int. J. Surf. Sci. Eng. 10, 253–271 (2016)CrossRef
4.
Bisaria, H., Shandilya, P.: Experimental investigation on wire electric discharge machining (WEDM) of Nimonic C-263 superalloy. Mater. Manuf. Process. 34, 83–92 (2019)CrossRef
5.
Singh, B., Misra, J.P.: Process regulations and mechanism of WEDM of combustor material. SAE Int. J. Aerosp. 12, 77–96 (2019)CrossRef
6.
Lin, Y.C., Chuang, F.P., Hwang, L.R., Wang, A.C.: Surface modification using a developed hybrid process of electrical discharge machining and abrasive jet machining. Int. J. Surf. Sci. Eng. 9, 176–188 (2015)CrossRef
7.
Singh, T.: An Adaptive Neuro-Fuzzy Inference System (ANFIS) for Wire-EDM of ballistic grade aluminium alloy. Int. J. Automot. Mech. Eng. 15, 5295–5307 (2018)CrossRef
8.
Shandilya, P., Jain, P.K., Misra, J.P.: Experimental investigation during wire electric discharge cutting of SiCp/6061 aluminum metal matrix composite. Ann. DAAAM Proc. (2010)
9.
Misra, J.P., Jain, P.K., Dwivedi, D.K., Mehta, N.K.: Prediction of tribological performance of electrochemical honed bevel gears teeth profile. Int. J. Surf. Sci. Eng. 9, 26–42 (2015)CrossRef
10.
11.
Mouralova, K., et al.: Analysis of surface morphology and topography of pure aluminium machined using WEDM. Meas. J. Int. Meas. Confed. 114, 169–176 (2018)CrossRef
12.
Mussada, E.K., Hua, C.C., Rao, A.K.P.: Surface hardenability studies of the die steel machined by WEDM. Mater. Manuf. Process. 33, 1745–1750 (2018)CrossRef
13.
Tahir, W., Jahanzaib, M., Ahmad, W., Hussain, S.: Surface morphology evaluation of hardened HSLA steel using cryogenic-treated brass wire in WEDM process. Int. J. Adv. Manuf. Technol. 104, 4445–4455 (2019)CrossRef
14.
Majumder, H., Maity, K.P.: Predictive analysis on responses in WEDM of titanium grade 6 using general regression neural network (GRNN) and multiple regression analysis (MRA). SILICON 10, 1763–1776 (2018)CrossRef
15.
Tripathi, D.R., et al.: Experimental investigation and optimization of abrasive waterjet machining parameters for GFRP composites using metaphor-less algorithms. Mater. Manuf. Process. 36, 803–813 (2021)CrossRef
16.
Singh, N.S., Sai, R., Sihag, P., Vambol, S., Vambol, V.: Use of machine learning algorithm for the better prediction of SR peculiarities of WEDM of Nimonic-90 superalloy. Arch. Mater. Sci. Eng. 95, 12–19 (2019)CrossRef
17.
Nain, S.S., Garg, D., Kumar, S.: Investigation for obtaining the optimal solution for improving the performance of WEDM of super alloy Udimet-L605 using particle swarm optimization. Eng. Sci. Technol. an Int. J. 21, 261–273 (2018)CrossRef
18.
Balasubramaniyan, C., Rajkumar, K., Santhosh, S.: Wire-EDM machinability investigation on quaternary Ni44Ti50Cu4Zr2 shape memory alloy. Mater. Manuf. Process. 36, 1161–1170 (2021)CrossRef
19.
20.
21.
Sharma, V., Kumar, P., Prakash, J.: Materials Today : proceedings cutting force predictive modelling of hard turning operation using fuzzy logic. Mater. Today Proc. 26, 740–744 (2020)CrossRef
22.
Shandilya, P., Jain, P.K., Jain, N.K.: RSM and ANN modeling approaches for predicting average cutting speed during WEDM of SiCp/6061 Al MMC. Procedia Eng. 64, 767–774 (2013)CrossRef
23.
24.
Tripathi, D.R., Vachhani, K.H., Kumari, S., Abhishek, K.: Experimental investigation on material removal rate during abrasive water jet machining of GFRP composites. Mater. Today Proc. 26, 1389–1392 (2019)CrossRef
25.
Soundararajan, R., Ramesh, A., Mohanraj, N., Parthasarathi, N.: An investigation of material removal rate and surface roughness of squeeze casted A413 alloy on WEDM by multi response optimization using RSM. J. Alloys Compd. 685, 533–545 (2016)CrossRef
26.
Tonday, H.R., Tigga, A.M.: Empirical assessment and modeling of MRR and surface roughness acquired from wire electrical discharge machining of Inconel 718. Int. J. Mech. Eng. Technol. 8, 152–159 (2017)
27.
Singh, B., Misra, J.P.: Surface finish analysis of wire electric discharge machined specimens by RSM and ANN modeling. Meas. J. Int. Meas. Confed. 137, 225–237 (2019)CrossRef
28.
Lalwani, V., Sharma, P., Pruncu, C.I., Unune, D.R.: Response surface methodology and artificial neural network-based models for predicting performance of wire electrical discharge machining of inconel 718 alloy. J. Manuf. Mater. Process. 4, 44 (2020)
29.
Rao, R.V., Pawar, P.J.: Modelling and optimization of process parameters of wire electrical discharge machining. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 223, 1431–1440 (2009)CrossRef
30.
Tosun, N.: Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. Int. J. Adv. Manuf. Technol. 28, 450–455 (2006)CrossRef
Metadaten
Titel
Design, modeling and parametric optimization of WEDM of Inconel 690 using RSM-GRA approach
verfasst von
A. Raj
J. P. Misra
D. Khanduja
K. K. Saxena
V. Malik
Publikationsdatum
11.07.2022
Verlag
Springer Paris
Erschienen in
International Journal on Interactive Design and Manufacturing (IJIDeM)
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI
https://doi.org/10.1007/s12008-022-00947-5

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