Material Selection Using Multi Criteria Decision Making Methods in the Design of Freight Wagon Bogie

Çetin, M. Hüseyin; Alvali, Gülüstan Tuğçe

doi:10.21923/jesd.512002

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…Expressed that the AHP and TOPSIS methods used were workable for material selection practice in the result of the study. In another study, used algorithms of TOPSIS and VIKOR to determine the most suitable carbon steel alloy for the design of freight wagon bogie [5]. Similar results were obtained in both methods for the model that was evaluated for 4 alternative materials and it shows the significance of the created problem matrix.…”

Section: Introductionmentioning

confidence: 54%

“…Characteristics of the metallurgy of the material used, such as its chemical structure, mechanical properties, thermal processing, admixtures, remnants, the thickness of the hard layer on the surface etc. have effects on factors such as cutting edge, toolkit connecting pattern, toolkit bench, the basis of processing, and processing conditions [5,14].…”

Section: Workability (K4)mentioning

confidence: 99%

“…Linguistic variables for alternatives. According to the evaluation of the "Fair" linguistic variable for Brass (A2) material, the fuzzy numbers determined as (3,5,7).…”

Section: Figure 5 Evaluation Alternativesmentioning

confidence: 99%

“…It has been investigated by many researchers for more than 20 years that to find the most proper material in various applications [4]. There are many studies available in literary in which fuzzy logic approach was used for material selection and decision-making processes in various fields [5][6][7]. One of these studies, presented by Chen (1997), aims to select the ideal material by using trapezoidal numbers from fuzzy approach methods in a system consisting of many criteria and alternative materials [8].…”

Section: Introductionmentioning

confidence: 99%

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Bulanık TOPSIS Yaklaşımı ile Denizel Ortamlar için Malzeme Seçimi

ÖZMEN-AKYOL¹

2021

Bilişim Teknolojileri Dergisi

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Material selection for marine environments is an important, difficult, and complex process. For the purpose of decision support, a model was created for the selection of materials for marine environments with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, which is used for decision-making in fuzzy environments. The decision criteria in the model were determined by an expert, and according to these decision criteria, alternative materials were evaluated with linguistic variables. In the model, there were four main criteria (corrosion resistance, cost, mechanical properties, and workability) and four sub-criteria (yield strength, tensile strength, hardness, and elongation) under the main criteria of mechanical properties. Alternative materials were ranked according to the criteria and alternative material evaluations which were determined by the expert. The software that the created model was applied, developed in the programming language Visual C#. Thanks to the software, decision-makers can obtain different rankings easily by changing the criteria weights and select material for different environments. In the result of the study, applying sensitivity analysis, impact and priority ranking criteria were evaluated.

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Section: Introductionmentioning

confidence: 54%

Section: Workability (K4)mentioning

confidence: 99%

“…Linguistic variables for alternatives. According to the evaluation of the "Fair" linguistic variable for Brass (A2) material, the fuzzy numbers determined as (3,5,7).…”

Section: Figure 5 Evaluation Alternativesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bulanık TOPSIS Yaklaşımı ile Denizel Ortamlar için Malzeme Seçimi

ÖZMEN-AKYOL¹

2021

Bilişim Teknolojileri Dergisi

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“…Bu elementler çeliğin kaynak edilebilirlik parametresini etkilemektedir. Etki oranının hesaplanabilmesi için karbon eşdeğeri (Ceş) adında bir eşitlik geliştirilmiştir (Denklem 1) [22,23].…”

Section: şAsi üRetiminde Kullanılacak Malzemelerin Kaynak Edilebilme ...unclassified

Selection of Electric Vehicle Chassis Material Using Multi-Criteria DecisionMaking Techniques

ALVALI

BALBAY

ŞİŞMAN

et al. 2021

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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In this study, analyzes were made on the 3-wheeled L2E class electric vehicle chassis structure in software environment according to different material types. The optimum material combination was determined by examining with multi-criteria decision making methods, taking into account the analyzes made and different criteria. Theory and Method:The study focused on the choice of chassis material for the chassis design of a 3wheeled L2E class electric. Safety, cost, weldability and machinability factors for St52, Ck45 and C4140 steels were comparatively analyzed using the Technique for Order Preference By Similarity (TOPSIS) and VIKOR, multi-criteria decision making methods (MCDM). As a result of the analyses, with which specified factors and materials the horizontal elements, vertical elements and ribs that make up the chassis will be the most suitable and efficient has been determined. Results:With the analysis results obtained in the software environment; the construction of the chassis horizontal profiles from C4140 tempered steel and the other chassis elements from St52 general structural steel turned out to be the most ideal option with both multi-criteria decision making methods. As the second ideal optimization option, it was concluded from the analyses that while the horizontal profiles and ribs could be made of C4140 tempered steel, all vertical profiles could be made of St52 general structural steel. Conclusion:In this study, analyzes were carried out in software environment on a 3-wheeled L2E class electric vehicle chassis structure and solutions were presented accordingly. In this context, this study will shed light on future studies. It will contribute to the creation of a wide and increasingly deep literature on this subject both with the new studies planned after this study and the studies that different researchers will carry out with different vehicle types and innovative materials. Moreover, an information infrastructure supported by scientific studies will be provided to chassis manufacturers and vehicle producing companies.

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Askeri̇ Alanlarda Kullanilmak Üzere İnsansiz Hava Araci (İha) Si̇stemleri̇ Seçi̇mi̇nde Topsis Ve Bulanik Topsis Yöntemi̇ni̇n Kullanilmasi

TEKİNAY

Batı

2022

Marmara Üniversitesi İktisadi Ve İdari Bilimler Dergisi

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This study aims to make the most appropriate decision at the procurement decision stage by comparing the technical features of UAV systems currently used and those to be used in the military field. For this purpose, the technical data of UAV systems, which are suitable for military use, produced by three domestic and five foreign companies, and are in the production phase, were collected. These collected data were analysed under the following headings: [At First, three criteria (Airtime, Maximum Altitude, and Payload Capacity) and TOPSIS and Fuzzy TOPSIS analysis are implemented. Then two more criteria (Cruise Speed and Maximum Speed) were added to these three criteria. Only TOPSIS analysis was performed.] separated and sorted by TOPSIS and the Fuzzy TOPSIS Method. In line with the findings, the Yabhon United 40 and Predator C Avenger models took first place in the TOPSIS three and five criteria rankings, respectively. It was determined that the Heron TP model took first place in the ranking with fuzzy TOPSIS.

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Material Selection Using Multi Criteria Decision Making Methods in the Design of Freight Wagon Bogie

Cited by 7 publications

References 3 publications

Bulanık TOPSIS Yaklaşımı ile Denizel Ortamlar için Malzeme Seçimi

Bulanık TOPSIS Yaklaşımı ile Denizel Ortamlar için Malzeme Seçimi

Selection of Electric Vehicle Chassis Material Using Multi-Criteria DecisionMaking Techniques

Askeri̇ Alanlarda Kullanilmak Üzere İnsansiz Hava Araci (İha) Si̇stemleri̇ Seçi̇mi̇nde Topsis Ve Bulanik Topsis Yöntemi̇ni̇n Kullanilmasi

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