FACTOR ANALYSIS APPROACH-TAGUCHI-PARETO METHOD TO CASTING A356 ALLOY COMPOSITE FOR LIGHTWEIGHT WHEEL RIM COVER OF VEHICLES

Bilah Samping Artikel

DOWNLOAD (English)
Diterbitkan: Apr 30, 2022
DOI: https://doi.org/10.24912/jitiuntar.v10i1.9407
Kata Kunci:
Clustering, algorithms, castings, A356 alloy, reinforcements
Dimensions
Altmetrics
Statistics
Read Counter : 156
Download : 222
Crossmark/ Data Version

Isi Artikel Utama

Stephen Chidera Nwafor
Sunday Ayoola Oke
University of Lagos, Lagos, Nigeria
Chris Abiodun Ayanladun
University of Lagos, Lagos, Nigeria

Abstrak

The aspect of reinforcing re-usable A356 alloys with organic matters is a principal, success yet expanding in scope regarding new products development. Despite, the use of Taguchi-Pareto method has potentials for improvement. The purpose of this article is to examine the factor analysis- Taguchi-Pareto method at which identification of the key factors could be achieved while concurrently optimizing the factors. The point of integration is at the variance determination of the unrotated factor loadings and communality. The synergy between factor analysis and Taguchi-Pareto method provides practical assistance to foundry engineers to concurrently select key factors while optimising them. The factors were noted to be effective and responsive to the proposed method. The delta values are 0, 0.84 and 0 for LC1, WC1 and HC1, respectively while the ranks are WC1 as first while the second position is shared between LC1 and HC1. The optimal parametric settings are LC11 WC11 HC11, LC11 WC11 HC12, LC12 WC11 HC11 or LC12 WC11 HC12­. One of the optimal parametric settings is 0.280m of LC1 with 1.788kg of WC1 and 0.036m of HC1. The finding provides novel steps to the concurrent factor identification and optimisation in the choice of optimal parametric setting for the process. It is the first step towards sustainable foundry practice.

Rincian Artikel

Terbitan
Vol 10 No 1 (2022): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Bagian
Articles

All publications by Jurnal Ilmiah Teknik Indsutri (Jurnal Keilmuan Teknik dan Manajemen Industri ) [p-ISSN: 2337-5841, e-ISSN: 2355-6528] is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Biografi Penulis

Stephen Chidera Nwafor

He is a student

Sunday Ayoola Oke, University of Lagos, Lagos, Nigeria

Oke lectures in the Department of Mechanical Engineering, University of Lagos, Lagos

Chris Abiodun Ayanladun, University of Lagos, Lagos, Nigeria

He is a student

Referensi

Abdulwahab M., Dodo R.M., Suleiman I.Y., Gebi A.I., and Umar I., 2017, Wear behavior of Al-7%Si-0.3%Mg/melon shell ash particulate composites, Heliyon, Vol. 3, No. 8, e00375, doi: 10.1016/j.heliyon.2017.e00375

Adigio E.M. and Nangi E.O. 2014, Computer aided design and simulation of radial fatigue test of automobile rim using ANSYS, IOSR Journal of Mechanical and Civil Engineering, Vol. 11, No. 1, pp. 68-73

Aigbodion V.S., Ezema I.C., 2019, Multifunctional A356 alloy/ PKSAnp composites: Microstructure and mechanical properties, Defence Technology, in press, https://doi.org/10.1016/j.dt.2019.05.017

Ajibade O.A., Agunsoye J.O., Oke S.A., 2019, Optimisation of water absorption parameters of dual-filler filled composites using Taguchi and moderated Taguchi techniques, Kufa Journal of Engineering, Vol. 10, No. 2, pp. 134-151.

Alvaro G., Alejandro S., Luis G., Cristina C. 2019, Remotely piloted aircraft systems conceptual design methodology based factor analysis, Aerospace and Science Technology, Vol. 90, pp. 368-387.

Archana N. 2004, A Factor Analysis Methodology for Analysing the Factors that Contribute to Economic Development in the state of Tennessee. University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange.

Bawne S.K., Yenarkar Y.L., 2015, Optimization of car rim, International Journal of Engineering Research and Applications, Vol. 5, No. 10, pp. 1-8

Ballo F., Gobbi M., Mastinu G., Previati G., 2016, Motorcycle tire modeling for the study of tire–rim interaction, Journal of Mechanical Design, Vol. 138, No. 5, Article 051404. Paper No: MD-15-1472. https://doi.org/10.1115/1.4032470

Ganesh S., Periyasamy P., 2014, Design and analysis of spiral wheel rim for four wheeler, The International Journal of Engineering and Science, Vol. 3, No. 4, pp. 29-37

Kumar S.D., Acharya M., Mandal A., Chakraborty M, 2015. Production of semi–solid feedstock of A356 alloy and A356–5TiB2 in–situ composite by cooling slope casting, IOP Conference Series: Materials Science and Engineering, Vol. 75, pp. 1–7

Liu, X.-Z.; Xu, C.; Ni, Y.-Q. 2019, Wayside detection of wheel minor defects in high-speed trains by a bayesian blind source separation method, Sensors, Vol. 19, Article 3981.

Lucky B.O., Takim S., 2015, Manufacturing defects in the automobile industry, a case study of the remote causes and effects of Toyota?s transmission malfunctions in cars, International Journal of Engineering and Applied Sciences, Vol. 2, No. 8, pp. 15-29

Nwafor S.C., Oke S.A., Ayanladun C.A. 2019, Taguchi optimisation of cast geometries for A356/organic particulate aluminium alloy composites using a two-phase casting process, Journal of Applied Science and Process Engineering, Vol. 6, No. 2, 386-412. doi:10.33736/jaspe.1722.2019

Nwafor S.C., Oke S.A., Ayanladun C.A., 2020a, Geometrical parametric optimisation of A356 alloy composite in a two-stage casting process for automobile wheel covers using response surface methodology parametric optimisation of A356 alloy composite, Journal of Applied Science and Process Engineering, Vol. 7, No. 1, pp. 457-478. doi:10.33736/jaspe.2154.202

Nwafor S.C., Oke S.A,, Ayanladun C.A., 2020b, Optimisation of casting geometries for A356 alloy composites reinforced with organic materials using box-behnken design methodology, Journal of Applied Science & Process Engineering, Vol. 0, No. 0, pp. 0-0. Accepted for publication. Published by Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia

Nwobi-Okoye C.C., Ochieze B.Q., 2018, Age hardening process modeling and optimisation of aluminum alloy A356/Cow horn particulate composite for brake drum application using RSM, ANN and simulated annealing, Defence Technology, Vol. 14, No. 4, 336-345. https://doi.org/10.1016/j.dt.2018.04.001

Nwobi-Okoye C.C., Ochieze B. Q., Okiy S. 2019, Multi–objective optimisation and modeling of age hardening process using ANN, ANFIS and genetic algorithm: Result from aluminium alloy A356/cow horn particulate composite, Journal of Materials Research and Technology, Vol 8, No. 3, 3054–3075. doi: 10.1016/j.jmrt.2019.01.031

Ochieze B.Q., Nwobi-Okoye C.C., Atamuo P.N., 2018a, Experimental study of the effect of wear parameters on the wear behavior of A356 alloy/cow horn particulate composites, Defence Technology, Vol. 14, No. 1, 77-82. https://doi.org/10.1016/j.dt.2017.11.001

Ochieze B.Q,, Nwobi-Okoye C.C., Ochieze P.U.and Ochieze I.A., 2018b, Microstructural and properties evaluation of A356 alloy/cow horn particulate composites produced by spark plasma sintering, Journal of the Chinese Advanced Material Society, Vol. 6, No. 1, 30-43.

Oji, B.C. and Oke, S.A. 2020, Optimisation of bottling process using “hard” total quality management elements, The TQM Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/TQM-03-2020-0057.

Panda S.S., Gurung J., Chatterjee U.K., Sahoo S., 2016, Modeling and fatigue analysis of automotive wheel rim, International Journal of Engineering Sciences & Research Technology, Vol. 5, No. 4, pp. 428-435. DOI: 10.5281/zenodo.49728

Pieszko C and Sajdak M. 2013. Chemometric analysis of heavy metals coexistence in different plant matrices in the upper silesian industrial district, Ecological Chemistry and Engineering S Vol. 20, No. 1, pp. 79-91

Rao B.N.D., Sateesh B. and Naidu N.V.S., 2014, Design and optimization of an alloy wheel for vehicular application, Proceedings of ICTACEM 2014 International Conference on Theoretical, Applied, Computational and Experimental Mechanics December 29-31, 2014, IIT Kharagpur, India

Sabbagh R., Ameri F., 2020, A framework based on k-means clustering and topic modeling for analyzing unstructured manufacturing capability data, Journal of Computing and Information Science in Engineering, Vol. 20, No. 1, 011005, Article JCISE-19-1029 https://doi.org/10.1115/1.4044506

Satishkumar T., Shalini S., Krishnakumar K., Thavamania R., Subramanian R., 2018, Bagasse ash reinforced A356 alloy composite: Synthesis and characterization, Materials Today: Proceedings, Vol. 5, No. 2, Part 2, pp. 7123-7130, https://doi.org/10.1016/j.matpr.2017.11.377

Sheykh-Jaberi F., Cockcroft S.L., Maijer D.M., Phillion A.B. 2019, Comparison of the semi–solid constitutive behaviour of A356 and B206 aluminum foundry alloys, Journal of Material Processing Technology, Vol. 266, pp. 37–45

Subrahmanyam A.P.S.V.R., Naresh G., Venkatesu V., 2018, Microstructure and mechanical propertiesof rice husk ash reinforced aluminium alloy (A356.2) metal matrix composite, IOSR Journal of Engineering, Vol. 8, No. 6, 36-42

Syed S.J., 2000, Factor analysis for the study of determinants of public transit ridership, Journal of Public Transportation, Vol. 3, No. 3, pp. 1–17

Thompson B, 2004, Exploratory and Confirmatory Factor Analysis – Understanding Concepts and Applications, American Psychological Association, Washington DC, 1SBN 1-59147-093-5

Tryfos P., (1997). Chapter 15: Cluster analysis

Usman, Y., Dauda, E. T., Abdulwahab, M., and Dodo, R. M., 2020, Effect of mechanical properties and wear behaviour on locust bean waste ash (LBWA) particle reinforced aluminium alloy (A356 alloy) composites, FUDMA Journal of Sciences, Vol. 4, No. 1, pp. 416 - 421.

Zimmermann E., Noyel M., Thomas P., Bril H., Thomas A. 2016. K-means clustering based method for production flow management facing rework disturbances. International Conference on Information Systems, Logistics and Supply Chain, ILS’16, Jun 2016, Bordeaux, France.hal-01415418