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Multi-Criteria Decision Making Methods for Selection of Lightweight Material for Railway Vehicles
Varun Sharma1, Fatima Zivic1, Dragan Adamovic1
1Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia.
Materials (Basel, Switzerland)
|January 8, 2023
Summary
Selecting optimal railway wagon materials involves comparing advanced steels and aluminum alloys using Multicriteria Decision Making Methods (MCDM). Aluminum alloys emerged as the most suitable choice, with advanced steels as a strong alternative.
Area of Science:
- Materials Science
- Mechanical Engineering
- Manufacturing Processes
Background:
- Selection of optimal materials for railway wagons is critical for performance and safety.
- Advanced steels and aluminum alloys offer distinct properties for structural applications.
- Multicriteria Decision Making Methods (MCDM) provide a framework for complex material selection problems.
Purpose of the Study:
- To identify the optimal material for railway wagons among various steel and aluminum-based options.
- To compare the efficacy of four different MCDM methods in material selection.
- To evaluate key material properties including strength, cost, and corrosion resistance.
Main Methods:
- Analysis of six materials: Dual-Phase 600 steel, TRIP 700 steel, TWIP steel, Al alloys, Al 6005-T6, Al 6082-T6, and porous Al.
- Application of four MCDM techniques: VIKOR, TOPSIS, PROMETHEE, and WASPAS.
- Evaluation based on density, yield strength, tensile strength, cost, and corrosion resistance.
Main Results:
- Aluminum and its alloys were ranked as the most suitable materials for railway wagons based on the defined criteria.
- Advanced steels achieved high rankings, presenting a viable alternative to aluminum alloys.
- Porous aluminum structures performed poorly due to lower strength characteristics.
Conclusions:
- Aluminum alloys are recommended as the primary material choice for railway wagons.
- Advanced steels represent a competitive secondary option for wagon construction.
- Material selection for railway wagons necessitates a comprehensive evaluation of multiple criteria using robust decision-making methodologies.
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