Tytuł artykułu
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Laser Beam machining (LBM) nowadays finds a wide acceptance for cutting various materials and cutting of polymer sheets is no exception. Greater reliability of process coupled with superior quality of finished product makes LBM widely used for cutting polymeric materials. Earlier researchers investigated the carbon dioxide laser cutting to a few thermoplastic polymers in thickness varying from 2mm to 10mm. Here, an approach is being made for grading the suitability of polymeric materials and to answer the problem of selection for LBM cutting as per their weightages obtained by using multi-decision making (MCDM) approach. An attempt has also been made to validate the result thus obtained with the experimental results obtained by previous researchers. The analysis encompasses the use of non-parametric linear-programming method of data envelopment analysis (DEA) for process efficiency assessment combined with technique for order preference by similarity to an ideal solution (TOPSIS) for selection of polymer sheets, which is based on the closeness values. The results of this uniquely blended analysis reflect that for 3mm thick polymer sheet is polypropelene (PP) to be highly preferable over polyethylene (PE) and polycarbonate (PC). While it turns out to be that polycarbonate (PC) to be highly preferable to other two polymers for 5mm thick polymer sheets. Hence the present research analysis fits very good for the polymer sheets of 3mm thickness while it deviates a little bit for the 5mm sheets.
Rocznik
Tom
Strony
339--357
Opis fizyczny
Bibliogr. 40 poz., tab.
Twórcy
autor
- Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, East Sikkim, India
autor
- Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, East Sikkim, India
autor
- Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, East Sikkim, India
autor
- Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, East Sikkim, India
Bibliografia
- [1] Atanasov P.A., & Baeva M.G., CW CO2 laser cutting of plastics. In XI International Symposium on Gas Flow and Chemical Lasers and High-Power Laser Conference (Vol. 3092, pp. 772-776). International Society for Optics and Photonics, 1997, April.
- [2] Belenson S.M., & Kapur K.C., An algorithm for solving multicriterion linear programming problems with examples. Journal of the Operational Research Society, 24(1), 65-77, 1973.
- [3] Benitez J.M., Martin J.C., & Roman C., Using fuzzy number for measuring quality of service in the hotel industry. Tourism management, 28(2), 544-555, 2007.
- [4] Bhattacharya A., Sarkar B. and Mukherjee S.K., Integrating AHP with QFD for robot selection under requirement perspective. International journal of production research, 43(17), pp. 3671-3685, 2005.
- [5] Caiazzo F., Curcio F., Daurelio G., & Minutolo F.M.C., Laser cutting of different polymeric plastics (PE, PP and PC) by a CO2 laser beam. Journal of Materials Processing Technology, 159(3), 279-285, 2005.
- [6] Chakraborty S. and Dey S., Design of an analytic-hierarchy-process-based expert system for non-traditional machining process selection. The International Journal of Advanced Manufacturing Technology, 31(5-6), pp. 490-500, 2006.
- [7] Chakladar N.D., & Chakraborty S., A combined TOPSIS-AHP-method-based approach for non-traditional machining processes selection. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 222(12), 1613-1623, 2008.
- [8] Charnes A., Cooper W.W., Lewin A.Y., & Seiford L.M. (Eds.)., Data envelopment analysis: Theory, methodology, and applications. Springer Science & Business Media, 2013.
- [9] Charnes A., Cooper W.W., & Rhodes E., Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444, 1978.
- [10] Chaudhuri A., & Bhattacharyya M., A combined QFD and integer programming framework to determine attribute levels for conjoint study, International Journal of Production Research, 47(23), 6633-6649, 2009.
- [11] Chen M.F., Ho Y.S., Hsiao W.T., Wu T.H., Tseng S.F., & Huang K.C., Optimized laser cutting on light guide plates using grey relational analysis. Optics and Lasers in Engineering, 49(2), 222-228, 2011.
- [12] Choudhury I.A., Chong W.C., & Vahid G., Hole qualities in laser trepanning of polymeric materials. Optics and lasers in engineering, 50(9), 1297-1305, 2012.
- [13] Choudhury I.A., & Shirley S., Laser cutting of polymeric materials: an experimental investigation. Optics & Laser Technology, 42(3), 503-508, 2010.
- [14] Cook W.D., & Seiford L.M., Data envelopment analysis (DEA)-Thirty years on. European Journal of operational research, 192(1), 1-17, 2009.
- [15] Davim J.P., Oliveira C., Barricas N., & Conceięao M., Evaluation of cutting quality of PMMA using CO2 lasers. The International Journal of Advanced Manufacturing Technology, 35(9-10), 875-879, 2008.
- [16] Farrell M.J., The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281, 1957.
- [17] Goh H.H., Kok B.C., Yeo H.T., Lee S.W., & Zin A.M., Combination of TOPSIS and AHP in load shedding scheme for large pulp mill electrical system. International Journal of Electrical Power & Energy Systems, 47, 198-204, 2013.
- [18] Hwang C.L., & Yoon K., Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg, 1981.
- [19] Ilio A.D., Tagliaferri V., & Veniali F., Machining parameters and cut quality in laser cutting of aramid fibre reinforced plastics. Material and Manufacturing Process, 5(4), 591-608, 1990.
- [20] Jovanovic J., Shah H., Vujovic A., & Krivokapic Z., Application of MCDM Methods in Evaluation of Environmental Impacts. International Journal for Quality Research, 8(4), 2014.
- [21] Kabir G., Third Party Logistic Service Provider Selection Using Fuzzy AHP and TOPSIS method. International Journal for Quality Research, 6(1), 2012.
- [22] Kabir G., & Hasin M., Comparative Analysis of TOPSIS and Fuzzy TOPSIS for the Evaluation of Travel Website Service Quality. International Journal for Quality Research, 6(3), 2012.
- [23] Kurt M., Kaynak Y., Bagci E., Demirer H., & Kurt M., Dimensional analyses and surface quality of the laser cutting process for engineering plastics. The International Journal of Advanced Manufacturing Technology, 41(3-4), 259-267, 2009.
- [24] Kumar M., & Das P., Fuzzy-Distance Function Approach for Multiple Criteria Decision Making. International Journal for quality research, 6(2), 2012.
- [25] Lee C., & Ji Y.B., Data envelopment analysis in Stata. Stata Conference DC, 2009.
- [26] Lim S., Oh K.W., & Zhu J., Use of DEA cross-efficiency evaluation in portfolio selection: An application to Korean stock market. European Journal of Operational Research, 236(1), 361-368, 2014.
- [27] Mayyas A., Shen Q., Mayyas A., Shan D., Qattawi A. and Omar M., Using quality function deployment and analytical hierarchy process for material selection of body-in-white. Materials & Design, 32(5), pp. 2771-2782, 2011.
- [28] Powel S.I., & Cutting C.L., LASER 5: Laser Materials Processing for Industry. IITT International Gournay Sur Marne, 54-71, 1989.
- [29] Roy M.K., Ray A., & Pradhan B.B., Non-Traditional Machining Process Selection-An Integrated Approach. International Journal for Quality Research, 11(1), 2017.
- [30] Roy M.K., Ray A., & Pradhan B.B., Non-traditional machining process selection using integrated fuzzy AHP and QFD techniques: a customer perspective. Production & Manufacturing Research, 2(1), 530-549, 2014.
- [31] Saaty T.L., The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, RWS Publication, Pittsburgh, PA, 1988.
- [32] Sarkis J., A comparative analysis of DEA as a discrete alternative multiple criteria decision tool. European journal of operational research, 123(3), 543-557, 2000.
- [33] Sharma P., Thakar G., & Gupta R.C., Evaluation of Assembly Line Balancing Methods Using an Analytical Hierarchy Process (AHP) And Technique For Order Preferences By Similarity To Ideal Solution (TOPSIS) Based Approach. International Journal for Quality Research, 7(4), 2013.
- [34] Shih H.S., Shyur H.J., & Lee E.S., An extension of TOPSIS for group decision making. Mathematical and computer modelling, 45(7-8), 801-813, 2007.
- [35] Singla A., Ahuja I.S., & Sethi A.S., Comparative Analysis of Technology Push Strategies Influencing Sustainable Development in Manufacturing Industries Using TOPSIS and VIKOR Technique. International Journal for Quality Research, 12(1), 2018.
- [36] Soota T., Integrated methodology for product planning using multi criteria analysis. International Journal for Quality Research, 10(3), 547-558, 2016.
- [37] Tadić D., Arsovski S., Stefanovic M., & Aleksic A., A fuzzy AHP and TOPSIS for ELV dismantling selection. International Journal for quality research, 4(2), 2010.
- [38] Zahar Djordjevic M., Puskaric H., & Djordjevic A., Evaluation and Ranking of Artificial Hip Prosthesis Suppliers by Using a Fuzzy TOPSIS Methodology. International Journal for Quality Research, 8(2), 2014.
- [39] Zelany M., A concept of compromise solutions and the method of the displaced ideal. Computers & OperationsResearch, 1(3-4), 479-496, 1974.
- [40] Zhou B.H., & Mahdavian S.M., Experimental and theoretical analyses of cutting nonmetallic materials by low power CO2-laser. Journal of materials processing technology, 146(2), 188-192, 2004.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fdb6356b-518d-4dbf-aea0-497ff5b0ece0