THUẬT TOÁN XỬ LÝ ẢNH VÀ TƯƠNG QUAN CHÉO TRONG PHÂN TÍCH DÒNG CHẢY VÒI PHUN

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Tác giả: Đình Anh Lê, Anh Văn Nguyễn, Thế Hùng Trần

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Tạp chí Khoa học và Công nghệ - Đại học Thái Nguyên, 2022

Mô tả vật lý: tr.146 - 154

Bộ sưu tập: Metadata

ID: 335565

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Data processing for obtaining global velocity fields is important in fluid mechanics. This study presents a hybrid algorithm for extracting velocity vectors from particle image velocimetry (PIV) images, which were taken during the experimental process. The hybrid method used both cross-correlation and optical-flow algorithms. Firstly, a cross-correlation algorithm was used to extract initial velocity from PIV images. The optical-flow algorithm was, then, applied for refined velocity fields with initial estimation by cross-correlation results. The proposed method was applied for recovering velocity vectors from a jet flow. It was shown that the hybrid method shows a similar pattern to the cross-correlation algorithm. Additionally, the resolution was much improved by the proposed algorithm in comparison to cross-correlation results. Both averaged and instantaneous velocity fields were illustrated in this study. The effect of the Lagrange multiplier and interaction number on the results of the hybrid method was investigated. The proposed method shows high ability in extracting velocity fields from PIV images.Xử lý dữ liệu nhằm thu được trường vận tốc toàn cục rất quan trọng trong cơ học chất lỏng. Nghiên cứu này trình bày thuật toán lai để trích xuất véc tơ vận tốc từ ảnh của phương pháp đo vận tốc ảnh hạt (PIV) thực hiện trong quá trình thực nghiệm. Phương pháp lai sử dụng cả thuật toán tương quan chéo và thuật toán xử lý ảnh. Đầu tiên, thuật toán tương quan chéo được sử dụng để trích xuất vận tốc ban đầu từ ảnh PIV. Sau đó, thuật toán xử lý ảnh được áp dụng cho các trường vận tốc đã được tinh chỉnh với ước lượng ban đầu bằng kết quả tương quan chéo. Phương pháp đề xuất được áp dụng cho phân tích véc tơ vận tốc từ dòng chảy qua vòi phun. Kết quả chỉ ra rằng phương pháp lai thấy hình ảnh tương tự với thuật toán tương quan chéo. Ngoài ra, độ phân giải đã được cải thiện nhiều bởi thuật toán được đề xuất so với kết quả từ phương pháp tương quan chéo. Cả trường vận tốc trung bình và vận tốc tức thời được phân tích trong nghiên cứu này. Ảnh hưởng của hệ số Lagrange, số bước lặp tính toán lên kết quả của phương pháp lai được khảo sát. Phương pháp được đề xuất cho thấy hiệu quả cao trong việc trích xuất trường vận tốc từ ảnh PIV.

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