研究目的
To select the optimal glazing material for solar thermal applications among twelve alternatives based on multiple performance characteristics using grey relational analysis.
研究成果
Crystal glass (soda lime) is identified as the optimal glazing material for solar thermal applications with the highest grey relational grade of 0.588. The ranking order of materials is provided, emphasizing the effectiveness of grey relational analysis in multi-criteria decision-making for material selection. This approach aids in overcoming the challenges of traditional trial-and-error methods, offering a systematic way to evaluate materials based on comprehensive properties.
研究不足
The study relies on existing data from literature and online sources, which may introduce inaccuracies or biases. The grey relational analysis assumes equal weighting of criteria (distinguishing coefficient of 0.5), which might not reflect real-world priorities. No experimental validation is performed, limiting the practical applicability. The selection is based on theoretical analysis without considering dynamic or environmental variations in solar thermal applications.
1：Experimental Design and Method Selection:
The study uses Taguchi's grey relational analysis approach to optimize material selection based on thermal, mechanical, optical, environmental, and economic properties. The methodology involves data normalization, calculation of grey relational coefficients, and generation of grey relational grades to rank materials.
2：Sample Selection and Data Sources:
Twelve glazing materials are evaluated, including Polycarbonate, Polypropylene, Polysulfone, Polytetrafluoroethylene, High-density polyethylene, Crystal glass, Polymethyl methacrylates, Polyvinyl fluoride, Polyethylene terephthalate, Polyamide, Low-density polyethylene, and Polyvinylidene fluoride. Data on material properties are obtained from various collected works and sources like www.makeitfrom.com.
3：List of Experimental Equipment and Materials:
No specific experimental equipment or materials are mentioned; the study is computational and based on existing data.
4：Experimental Procedures and Operational Workflow:
The procedure includes data pre-processing (normalization), calculation of grey relational coefficients using specified formulas, and determination of grey relational grades to rank the materials. A distinguishing coefficient of 0.5 is used for equal weighting of responses.
5：5 is used for equal weighting of responses.
Data Analysis Methods:
5. Data Analysis Methods: Grey relational analysis is employed, involving normalization of data, computation of grey relational coefficients, and averaging to get grey relational grades for ranking. Statistical techniques are not explicitly detailed.
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