Lựa chọn điều kiện gia công phay hỗ trợ MQL lý tưởng: Phương pháp tiếp cận NSGA-II kết hợp TOPSIS nhằm cải thiện khả năng gia công của Inconel 690

Binayak Sen1, Syed Abou Iltaf Hussain1, Mozammel Mia2, Uttam Kumar Mandal1, Sankar Prasad Mondal3
1Department of Production Engineering, National Institute of Technology, Agartala, India
2Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh
3Department of Mathematics, Midnapore College, West Midnapore, India

Tóm tắt

Thông qua công nghệ bôi trơn số lượng tối thiểu (MQL), những giọt nhỏ của chất lỏng cắt được phun vào giao diện công cụ-thành phẩm cùng với khí nén. Do đó, công nghệ này cung cấp bôi trơn/làm mát hiệu quả và nâng cao hiệu suất gia công mà không cần sử dụng một lượng lớn chất lỏng cắt. Ngược lại, nhờ tính chất phân hủy sinh học và không gây ô nhiễm của dầu thực vật, chúng thường được sử dụng làm chất lỏng cơ sở trong công nghệ MQL. Với những lợi ích của sự kết hợp giữa MQL và dầu thực vật, bài báo này nhằm xác định chuỗi thông số gia công phay MQL tốt nhất cho Inconel 690 khi sử dụng dầu thầu dầu làm chất bôi trơn. Tại đây, phương pháp mặt phản ứng (RSM) đã được khai thác để thiết lập mối tương quan giữa các thông số đầu vào và phản ứng gia công. Để giải quyết vấn đề tối ưu hóa, một cách tiếp cận tính toán hai giai đoạn đã được áp dụng. Lý thuyết đầu tiên là thuật toán di truyền phân loại không thống trị-II (NSGA-II) và phương pháp thứ hai là kỹ thuật lựa chọn theo thứ tự tương tự với giải pháp lý tưởng (TOPSIS). NSGA-II đã được sử dụng để tìm kiếm các giải pháp tiềm năng, trong khi TOPSIS đã được triển khai để tìm ra giải pháp thỏa hiệp tốt nhất. Cuối cùng, tài liệu này so sánh kết quả của phương pháp đã áp dụng với các kết quả thực nghiệm để xác định hiệu quả của mô hình đề xuất. Kết quả so sánh cho thấy sai số trung bình giữa phản ứng dự đoán và phản ứng thực nghiệm nhỏ hơn 1%.

Từ khóa

#MQL #dầu thực vật #Inconel 690 #tối ưu hóa #NSGA-II #TOPSIS

Tài liệu tham khảo

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