Fuzzy Analytic Hierarchy Process and Markov Chain-WSM/WPM/WASPAS Approaches to solving the Surface Roughness Problem in the Boring of Carbon Steel IS 2062 GR E250 Plates on CNC Machines

Isaac Temitope Abiola, Sunday Ayoola Oke

Abstract


This paper establishes how the process engineer in a machine shop could capture the uncertainty and the transition of process parameters to improve the surfaced finish of bored work material (carbon steel IS 2062 GR E250 plates) and select the best parameters to achieve the aim. The fuzzy analytic hierarchy process method incorporating geometric mean and a novel Markov chain oriented weightage scheme were used as inputs into three multicriteria methods of weighted sum model (WSM), weighted product model (WPM) and weighted product model and weighted aggregated sum-product, assessment (WASPAS) model. Published literature data were used to validate the methods and their integrations. The novel Markov chain model borrows ideas from the orthogonal array, random number generation and the transition states of parameters. Finally, the optimal parametric setting idea is used to interprete the final results based on an initial response table determination, which are the averages of the signal-to-noise ratios summarized. The most important results are obtained from the fuzzy AHP-Markov WASPAS method. These are the feed parameter (preference score of 1.624) as the best parameter and the depth of cut with the preference score of 1.188 as the worst parameter. The findings indicate that process engineers should attach the most important interest to the feed rate as it is the most effective controlling parameter of surface finish during the boring operation of carbon steel IS 2062 GR E250 plates. Machining shops can employ the framework to evaluate and predict system performance before financial resource commitment to operations.

Keywords


Selection, optimal values, preference scores, ranking, multicriteria

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References


Abiola I.T. and Oke S.A., 2021, A fuzzy analytic hierarchy model to appraise water absorption process parameters in cocoa pod husk composite, Kufa Journal of Engineering, 12(2): 99-117.https://doi.org/10.30572/2018/KJE/120207

Afolayan A.H., Ojokoh B.A., Adetunmbi A.O. 2020. Performance analysis of fuzzy analytic hierarchy process multicriteria decision support models for contractor selection, Scientific African, 9, e00471.https://doi.org/10.1016/j.sciaf.2020.e00471

Bhaskar A.K., Pal K., Khanna P. (2020). Mathematical analysis of angular distortion on GTA welded hot rolled E250 grade low carbon steel plates, International Research Journal of Engineering and Technology, 7(3):2373-2377.https://doi.org/10.13140/RG.2.2.29886.84803

Beauchamp Y., Thomas M., Youssef Y.A., Masounave J. 1996. Investigation of cutting parameter effects on surface roughness in lathe boring operation by use of a full factorial design. Computers & Industrial Engineering, 31(3–4): 645-651. https://doi.org/10.1016/S0360-8352(96)00234-3

Biju C.V., Shunmugam M.S. 2019, Performance of magnetorheological fluid based tunable frequency boring bar in chatter control, Measurement, 140: 407-415. https://doi.org/10.1016/j.measurement.2019.03.073

Chern G.-L., Liang J.-M. (2007). Study on boring and drilling with vibration cutting. International Journal of Machine Tools and Manufacture, 47(1): 133-140, https://doi.org/10.1016/j.ijmachtools.2006.02.017

Chennaiah M.B., Kumar P.N., Rao K.P. (2016a). Determination of optimum post weld heat treatment processes on the microstructure and mechanical properties of IS2062 steel weldments. Journal of Material Sciences & Engineering, 5: 230. https://doi.org/10.4172/2169-0022.1000230

Chennaiah M.B., Kumar P.N. &Rao K.P. (2016b). Influence of heat input and PWHT on the microstructure and mechanical properties in dissimilar (IS2062-EN8) welded joints. Procedia Computer Science, 85, 54-61.https://doi.org/10.1016/j.procs.2016.05.176

Gangil M., Pradhan M.K. 2018. Optimization the machining parameters by using VIKOR method during EDM process of titanium alloy. Materials Today: Proceedings, 5(2): 7486-7495. https://doi.org/10.1016/j.matpr.2017.11.420

Hintze W., Schötz R., Mehnen J., Köttner L., Möller C. 2018. Helical milling of bore holes in Ti6Al4V parts produced by selective laser melting with simultaneous support structure removal. Procedia Manufacturing, 18:89-96. https://doi.org/10.1016/j.promfg.2018.11.012

Izelu C.O., Essien E.I., Okwu M.O., Garba D.K. &Agunobi-Ozoekwe C.N. 2019. Lathe boring operation on ASTM A304 steel parameter optimization using response surface methodology. Australian Journal of Mechanical Engineering, https://doi.org/10.1080/14484846.2019.1662534

Jagtap K.R., Rojekar M.S., Dravid S.V., &Deshpande A.R. (2017). Effect of welding parameters on tensile and yield strength of IS 2062 grade steel using design of experiment approach. Materials Today: Proceedings, 4(8), 7875-7883. https://doi.org/10.1016/j.matpr.2017.07.123

Klein S., Schorr S., Bähre D. 2020. Quality prediction of honed bores with machine learning based on machining and quality data to improve the honing process control. Procedia CIRP, 93: 1322-1327. https://doi.org/10.1016/j.procir.2020.03.055

Kumar S., Dave H.K., Desai K.P. 2018. Methodology for database development for electro discharge boring of aerospace material. International Journal of Materials and Product Technology, 56(4): 295 - 312. https://doi.org/10.1504/IJMPT.2018.092072

Lawrance G., Paul P.S., Ezhil M., Ashish J.E., Gokul R., Subhash M. 2020a. Influence of stainless steel impact damper on tribological properties during boring process. Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2020.06.260

Lawrance G., Daniel E., Paul P.S., Shaji J., Thankachan T. 2020b. Study on the influence of multi-layered nano metal oxide coating on cutting performance during boring of hardened steel. Materials Today: Proceedings, 22: 1731-1736. https://doi.org/10.1016/j.matpr.2020.02.192

Liu H., Cheng J., Wang T., Chen M. 2019.Magnetorheological finishing of an irregular-shaped small-bore complex component using a small ball-end permanent-magnet polishing head. Nanotechnology and Precision Engineering, 2(3): 125-129. https://doi.org/10.1016/j.npe.2019.10.001

Lotfi M., Amini S., Aghayar Z., Sajjady S.A., Farid A.A. 2020. Effect of 3D elliptical ultrasonic assisted boring on surface integrity. Measurement, 163, 108008, https://doi.org/10.1016/j.measurement.2020.108008

Majumder H., Maity K. 2018. Application of GRNN and multivariate hybrid approach to predict and optimize WEDM responses for Ni-Ti shape memory alloy.Applied Soft Computing, 70: 665-679.https://doi.org/10.1016/j.asoc.2018.06.026

Melo T.F.L., Filho S.L.M.R., Arruda É.M., Brandão L.C. 2019. Analysis of the surface roughness, cutting efforts, and form errors in bore reaming of hardened steel using a statistical approach. Measurement, 134:845-854. https://doi.org/10.1016/j.measurement.2018.12.033

Okponyia K.O. and Oke S.A., 2020, Exploring aluminium alloy metal matrix composites in EDM using coupled factor-level-present worth analysis and fuzzy analytic hierarchy process, International Journal of Industrial Engineering and Engineering Management, 2(1): 25-44. https://doi.org/10.13140/RG.2.2.21482.24003

Patel M. and Deshpande V. 2014. Application of Taguchi approach for optimisation roughness for a boring operation of E250 B0 for standard IS: 2062 on CNC TC. International Journal of Engineering Development and Research, 2(2): 2528-2537

Prabhu L., Kumar S.S., Dinakaran D., Jawahar R. 2020. Improvement of chatter stability in boring operations with semi active magneto-rheological fluid damper. Materials Today: Proceedings, 33: 420-427. https://doi.org/10.1016/j.matpr.2020.04.651

Priti, Singh M., Singh S. 2020. Micro-machining of CFRP composite using electrochemical discharge machining and process optimization by entropy-VIKOR method. Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2020.09.463

Ratnam C., Kumar K.A., Murthy B.S.N., Rao K.V. 2018. An experimental study on boring of Inconel 718 and multi response optimization of machining parameters using response surface methodology. Materials Today: Proceedings, 5(13): 27123-27129. https://doi.org/10.1016/j.matpr.2018.09.020

Saleh M.K.A., Nejatpour M., Acar H.Y., Lazoglu I. 2021. A new magnetorheological damper for chatter stability of boring tools.Journal of Materials Processing Technology, 289, 116931.https://doi.org/10.1016/j.jmatprotec.2020.116931

Sayed A.R., Dhanorkar N.R., Ingole N.G., Dhegale P.T., Kumbhare Y.V., Nanhe P.A., Pustode M.P. (2019). Testing and comparative study on stainless steel (SS 316) and mild steel (E250 BR IS 2062) performed by TIG, MIG and ARC welding processes, International Journal for Research in Applied Science & Engineering Technology, 7(3): 2469-2473. https://doi.org/10.22214/ijraset.2019.3453

Sathianarayanan D., Karunamoorthy L., Srinivasan J., Kandasami G. S. &Palanikumar K. 2008. Chatter suppression in boring operation using magnetorheological fluid damper. Materials and Manufacturing Processes, 23(4):329-335. https://doi.org/10.1080/10426910701860897

Sastry C.C., Hariharan P. & Kumar M.P. 2019.Experimental investigation of dry, wet and cryogenic boring of AA 7075 alloy. Materials and Manufacturing Processes, 34(7): 814-831. https://doi.org/10.1080/10426914.2019.1605174

Schmidt R., Strodick S., Walther F., Biermann D., Zabel A. 2020a. Influence of the process parameters and forces on the bore sub-surface zone in BTA deep-hole drilling of AISI 4140 and AISI 304 L. Procedia CIRP, 87:41-46.https://doi.org/10.1016/j.procir.2020.02.010

Schmidt R., Strodick S., Walther F., Biermann D., Zabel A. 2020b. Analysis of the functional properties in the bore sub-surface zone during BTA deep-hole drilling.Procedia CIRP, 88: 318-323. https://doi.org/10.1016/j.procir.2020.05.055

Sharma M., Khan M.I. 2014, Optimization of weld bead geometrical parameters for bead on plate submerged arc welds deposited on IS-2062 steel using taguchi method, International Journal of Technical Research and Applications, 2(1): 8-11

Sharma M., Khan M.I. 2015, Optimisation of SAW process parameters for bead geometry of bead on plate welds deposited on structural steel IS-2062 using taguchi method, International Journal of Science and Research, 4(3): 2322 - 2325

Singh G., Mann G.S., Pradhan S. 2018. Improving the surface roughness and flank wear of the boring process using particle damped boring bars. Materials Today: Proceedings, 5(14): 28186-28194. https://doi.org/10.1016/j.matpr.2018.10.062

SrivastavaS.,&Garg R.K. (2017). Process parameter optimization of gas metal arc welding on IS: 2062 mild steel using response surface methodology. Journal of Manufacturing Processes, 25, 296-305. https://doi.org/10.1016/j.jmapro.2016.12.016

Vaishnav M.P., Sonawane S.A., 2014, Optimisation of boring process parameters by using the Taguchi method, International Journal of Engineering Research and Technology, 3(8): 717-721.

VenkataRao K., Murthy B.S.N., Mohan Rao N. 2013. Cutting tool condition monitoring by analyzing surface roughness, work piece vibration and volume of metal removed for AISI 1040 steel in boring. Measurement, 2013, 46(10): 4075-4084

https://doi.org/10.1016/j.measurement.2013.07.021

VenkataRao K., Murthy B.S.N., Mohan Rao N. 2014. Prediction of cutting tool wear, surface roughness and vibration of workpiece in boring of AISI 316 steel with artificial neural network. Measurement, 51:63-70. https://doi.org/10.1016/j.measurement.2014.01.024

Vikram K.A., Kantha T.V.K., Shabana, Prasad R.D.V. 2020. Response optimization using VIKOR while machining on lathe under dry and minimum quantity and lubrication conditions – A case study. Materials Today: Proceedings, 27(3): 2487-2491. https://doi.org/10.1016/j.matpr.2019.09.223

Wu Z., Ahmad J., Xu J. 2016. A group decision making framework based on fuzzy VIKOR approach for machine tool selection with linguistic information. Applied Soft Computing, 42: 314-324.https://doi.org/10.1016/j.asoc.2016.02.007

Yuvaraju B.A.G., Nanda B.K. 2018. Prediction of vibration amplitude and surface roughness in boring operation by response surface methodology. Materials Today: Proceedings, 5(2): 6906-6915. https://doi.org/10.1016/j.matpr.2017.11.352

Yazdi M., Korhan O. &Daneshvar S. 2020. Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry, International Journal of Occupational Safety and Ergonomics, 26(2), 319-335. https://doi.org/10.1080/10803548.2018.1454636

Zavadskas E.K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Electronics and Electrical Engineering, 6(122), 3–6. https://doi.org/10.5755/j01.eee.122.6.1810

Zavadskas E.K., Antucheviciene, J., Šaparauskas, J., Turskis, Z. (2013a). Multicriteria assessment of facades’ alternatives: peculiarities of ranking methodology. Procedia Engineering, 57, 107–112. https://doi.org/10.1016/j.proeng.2013.04.016

Zavadskas E.K., Antucheviciene, J., Saparauskas, J., Turskis, Z. (2013b). MCDM methods WASPAS and multimoora: verification of robustness of methods when assessing alternative solutions. Economic Computation and Economic Cybernetics Studies and Research, 47(2), 5–20.

Zhang H., Shen X., Bo A., Li Y., Zhan H., Gu Y. 2017. A multiscale evaluation of the surface integrity in boring trepanning association deep hole drilling. International Journal of Machine Tools and Manufacture, 123:48-56. https://doi.org/10.1016/j.ijmachtools.2017.07.00




DOI: http://dx.doi.org/10.22441/ijiem.v3i1.13242

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