Selection the suitable material for making base-cutter blades in sugarcane harvester using TOPSIS and ROC method

Main Article Content

Montri Wimol

Abstract

This research study purposed to select appropriate material for making base-cutter blades in sugarcane harvester using technique for order preference by similarity to an ideal solution (TOPSIS) and rank order centroid (ROC) method. The eight criterions affecting material decision were weighted importance using ROC method, which were 1) modulus of elasticity 2) machinability 3) hardness 4) toughness 5) harden ability 6) wear resistance 7) non-deforming properties 8) cost, respectively. After that materials in the steel group which have suitable properties for making base-cutter blades in sugarcane harvester were considered for alternative decisions. It was found that there were 5 types namely spring steel (AISI 5160), alloy steel (AISI 4140), medium carbon steel (AISI1045), water-hardening tool steel (AISI W1) and high-carbon high-chrome air-hardening steel (AISI D2). Finally, the closeness coefficient was computed to be used to rank alternative decisions with the TOPSIS method. The results showed that high-carbon high-chrome air-hardening steel (AISI D2) was the most suitable material for making base-cutter blades in sugarcane harvester. On the other hand, the other steel was arranged in descending order based on their closeness coefficient value.

Article Details

Section
บทความวิจัย (Research Article)

References

Deng Y, Edwards K. The role of materials identification and selection in engineering design. Materials and Design. 2007;28(1): 131-139.

Rao R, Davim J. A decision-making framework model for material selection using a combined multiple attribute decision-making method.

The International Journal of Advanced Manufacturing Technology. 2008;35(1): 751-760.

Rao R. A decision making methodology for material selection using an improved compromise ranking method. Materials and Design. 2008;29(10): 1949-1954.

Edwards KL. Materials influence on design: A decade of development. Materials and Design. 2011;32(3): 1073-1080.

Chuaiphan Wichan, Loeshpahn Srijaroenpramong, Dumrongrit Pinpradub. The effects of heat treatment on microstructure and mechanical properties of AISI 4140 for base cutter cane harvester. Advanced Materials Research. 2013;774: 1059-1067.

Qiu M, Meng Y, Li Y, Shen X. Sugarcane stem cut quality investigated by finite element simulation and experiment. Biosystems Engineering, 2021;206: 135-149.

Sakundarini N, Taha Z, Abdul-Rashid S, Ghazila R. Optimal multi-material selection for lightweight design of automotive body assembly incorporating recyclability. Materials and Design, 2013;50: 846-857.

Ghaleb A, Kaid H, Alsamhan A, Mian S, Hidri L. Assessment and comparison of various MCDM approaches in the selection of manufacturing process. Advances in Materials Science and Engineering, 2020;2020: 1-16.

วลัยลักษณ์ อัตธีรวงค์. การจัดลำดับประเทศที่เหมาะสมสำหรับการลงทุนในอุตสาหกรรมสิ่งทอ. วารสารพระจอมเกล้าพระนครเหนือ. 2564;31(1): 71-81.

กวินภพ ศรีวัฒนานุศาสตร์, ปนิทัศน์ สุรียธนาภาส. การคัดเลือกผู้จัดส่งวัตถุดิบโดยใช้วิธีการ TOPSIS และ ROC : กรณีศึกษาอุตสาหกรรมร้านอาหาร. วารสารวิจัยและพัฒนา มจธ. 2560;40(3): 385-403

Zavadskas EK, Turskis Z, Kildiene S. State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy. 2014;20(1): 165-179.

Emovon I, Oghenenyerovwho OS. Application of MCDM method in material selection for optimal design: A review. Results in Materials. 2020;7:

-21

Rahim AA, Musa SN, Ramesh S, Lim MK.

A systematic review on material selection methods. Journal of Materials: Design and Applications. 2020;234(7): 1032-1059.

Jahan. A, Edwards KL. A state of the art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design. Materials & Design. 2014;65: 335-342.

Maity SR, Chakraborty S. Grinding wheel abrasive material selection using fuzzy TOPSIS method. Materials and Manufacturing Processes. 2013;28(4): 408-417.

Mansor MR, Sapuan SM, Zainudin ES, Nuraini AA, Hambali A. Hybrid natural and glass fibers reinforced polymer composites material selection using analytical hierarchy process for automotive brake lever design. Materials & Design. 2013;51: 484-492.

Anojkumar L, Ilangkumaran M, Sasirekha V. Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert systems with applications. 2014;41(6): 2964-2980.

Mathiyazhagan K, Gnanavelbabu A, Prabhuraj BL. A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches. Journal of Advances in Management Research. 2018; 16(2): 234-259.

Tian G, Zhang H, Feng Y, Wang D, Peng Y, Jia H. et al. Green decoration materials selection under interior environment characteristics: A grey-correlation based hybrid MCDM method. Renewable and Sustainable Energy Reviews. 2018;81: 682-692.

Singh M, Pant M, Godiyal RD, Sharma AK. MCDM approach for selection of raw material in pulp and papermaking industry. Materials and Manufacturing Processes. 2020;35(3): 241-249.

Behzadian M, Otaghsara SK, Yazdani M, Ignatius J. A state of the art survey of TOPSIS applications. Expert Systems with Applications. 2012;39(17): 13051-13069.

นิธิเดช คูหาทองสัมฤทธิ์, วาสนา จันทร์ขา, สุชาติ หัตถ์สุวรรณ. การจัดลำดับความเสี่ยงของการก่อสร้างอุโมงค์ใต้ดินด้วยเครื่องเจาะอุโมงค์ โดยใช้วิธีการตัดสินใจแบบหลายหลักเกณฑ์แบบผสมผสาน. วารสารวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยอุบลราชธานี. 2564;23(3): 12-24.

Sureeyatanapas Panitas, Sriwattananusart Kawinpob, Niyamosoth Thanawath, Sessomboon Weerapat, Arunyanart Sirawadee. Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method. Operations Research Perspectives. 2018;5: 69-79.

Dossett JL, Totten GE, editor. ASM handbook: steel heat treating fundamentals and processes. Volume 4A. ASM International; 2013.

Davis JR, editor. ASM specialty handbook: tool materials. ASM International; 1995.

Maity SR, Chatterjee P, Chakraborty S. Cutting tool material selection using grey complex proportional assessment method. Materials & Design. 2012;36: 372-378.

Maity SR, Chakraborty S. Tool steel material selection using PROMETHEE II method. The International Journal of Advanced Manufacturing Technology. 2015;78(9): 1537-1547.

Niu J, Huang C, Li C, Zou B, Xu L, Wang J, Liu Z, et al. A comprehensive method for selecting cutting tool materials. The International Journal of Advanced Manufacturing Technology. 2020; 110(1): 229-240.

Tsaur SH, Chang TY, Yen CH. The evaluation of airline service quality by fuzzy MCDM. Tourism management. 2002;23(2): 107-115.

García-Cascales MS, Lamata MT. On rank reversal and TOPSIS method. Mathematical and Computer Modelling. 2012;56: 123-132.

Ahn BS, Park KS. Comparing methods for multi-attribute decision making with ordinal weights. Computers & Operations Research. 2008;35(5): 1660-1670.