AHP and TOPSIS based selection of aluminium alloy for automobile panels

• Autorzy: Swapna D. , Srinivasa Rao Ch. , Kumar D. S. , Radhika S.

Identyfikatory

DOI

10.30464/jmee.2019.3.1.43

• Języki publikacji: EN

Abstrakty

EN

Automotive industry is a very attractive area for young researchers to do continuous research and also it can be considered as an important thrust area as it is directly related to passenger safety. New developments in automotive sector can be seen in many domains like material selection, design, manufacturing etc. Since wrong selection directly leads to product failure, among these, the proper selection of a particular material can be treat as utmost priority. Hence, the present work discusses a methodology to select the best aluminium alloy for automobile panels among various alternates serving the same purpose. Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods with entropy weighting criteria are implemented for finding the best material and the results are discussed.

Słowa kluczowe

EN

materials selection; MADM methods; AHP; TOPSIS; aluminium alloys

PL

dobór materiałów; metody MADM; AHP; TOPSIS; stopy aluminium

• Wydawca: Wydawnictwo Uczelniane Politechniki Koszalińskiej
• Czasopismo: Journal of Mechanical and Energy Engineering
• Rocznik: 2019
• Tom: Vol. 3, No 1
• Strony: 43--50
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr.

Twórcy

autor

Swapna D.

• Department of Mechanical Engineering, R.V.R. & J.C College of Engineering, Guntur, India

autor

Srinivasa Rao Ch.

• Department of Mechanical Engineering, College of Engineering, Andhra University, Visakhapatnam, India

autor

Kumar D. S.

• Department of Mechanical Engineering, R.V.R. & J.C College of Engineering, Guntur, India

autor

Radhika S.

• Department of Mechanical Engineering, R.V.R. & J.C College of Engineering, Guntur, India

Bibliografia

• 1. Ungureanu, C.A., Das, S., Jawahir, I.S. (2007). Life-cycle Cost Analysis: Aluminum versus Steel in Passenger Cars. TMS (The Minerals, Metals and Materials Society), pp: 11–24.
• 2. Naka, T., Torikai, G., Hino, R., Yoshida, F. (2001). The effects of temperature and forming speed on the forming limit diagram for type 5083 aluminum–magnesium alloy sheet. J. Mater. Process. Technol. 113, pp: 648–653.
• 3. D. Sameer Kumar, S. Radhika, K.N.S. Suman, (2013), MADM Methods for Finding The Right Personnel in Academic Institutions”, International Journal of u- and e- Service, Science and Technology , Vol. 6, No. 5 pp.133-144. http://dx.doi.org/10.14257/ijunesst.2013.6.5.12
• 4. D.Sameer Kumar , K.N.S. Suman, (2014). Selection of Magnesium Alloy by MADM Methods for Automobile Wheels, International Journal of Engineering and Manufacturing, 2, pp: 31-41. http://dx.doi.org/10.5815 /ijem.2014.02.03
• 5. Farzana Elahi et al. (2017). Pharmaceutical Product Selection: Application of AHP, International Journal of Business and Management; Vol. 12, No. 8, pp: 193-200.
• 6. R. Venkata Rao, (2007). Decision Making in the Manufacturing Environment using Graph Theory and Fuzzy Multiple attribute Decision Making Methods, Springer-Verlag London Limited.
• 7. Cantor B., Grant P., Johnston C. (2008). Automotive engineering: lightweight, functional, and novel materials. CRC Press.
• 8. Toros S., Ozturk F., Kacar I. (2008). Review of warm forming of aluminum–magnesium alloys. J. Mater. Process. Technol. 207, pp: 1–12.
• 9. D. Swapna, Srinivasa Rao Ch., S. Radhika , (2018), A Review on Deep Drawing Process, International Journal of Emerging Research in Management and Technology, Vol. 6, Issue 6, pp. 146-149.
• 10. W.S. Miller, L. Zhuang, J. Bottema, A.J. Wittebrood, P. De Smet, A. Haszler, A. Vieregg, (2000). Recent development in aluminium alloys for the automotive industry, Materials Science and Engineering, A280, pp: 37–49.
• 11. C–H. Ng, S. N. M. Yahaya and A. A. A. Majid, (2017). Reviews on aluminum alloy series and its applications, Academia Journal of Scientific Research, vol. 5 Issue 12, pp: 708-716.
• 12. Savkin Alexey Nikolaevich, Andronik Artem Valerievich, Gorunov Andrey Igorevich, Sedov Alexander Alexandrovich, Sukhanov Mikhail Alexandrovich, (2014) Advanced materials of automobile bodies in volume production, European Transport \ Trasporti Europei, Issue 56, Paper n° 10, ISSN 1825-3997.
• 13. Takeo SAKURAI, (2008). The Latest Trends in Aluminum Alloy Sheets for Automotive Body Panels, Material & Process Research Section, Aluminum Sheets & Coils Department Moka Plant, Aluminum & Copper Company, KOBELCO TECHNOLOGY REVIEW NO. 28.
• 14. Jureen Thor et al. (2013), Comparison of Multi Criteria Decision Making Methods From The Maintenance Alternative Selection Perspective, The International Journal Of Engineering And Science (IJES), Volume 2 , Issue 6, pp. 27-34.
• 15. Velasquez and Hester (2013). An Analysis of Multi-Criteria Decision Making Methods, International Journal of Operations Research [IJOR ] , Vol. 10, No. 2, pp: 56-66.
• 16. Saaty, T.L. (1980). The Analytic Hierarchy Process, McGraw-Hill, New York
• 17. Farhad Hosseinzadeh Lotfi and Reza Fallahnejad (2010). Imprecise Shannon’s Entropy and Multi Attribute Decision Making, Entropy, 12, pp : 53-62. doi:10.3390/e12010053.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).