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2023 | OriginalPaper | Buchkapitel

Studying Optimal Set of Input Parameters for CBN Grinding Aluminum 6061T6 on CNC Milling Machine

verfasst von : Bui Thanh Danh, Luu Anh Tung, Tran Huu Danh, Tran Minh Tan, Trinh Kieu Tuan, Duong Van Phuong, Nguyen Dinh Ngoc

Erschienen in: Advances in Engineering Research and Application

Verlag: Springer International Publishing

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Abstract

This article presents a multi-objective optimization process of surface grinding for Aluminum alloy 6061 in CNC machine tools. The aim is to find the optimal set of grinding parameters that can simultaneously satisfy maximizing material removal speed (MRS) and minimizing surface roughness. The partial factor method 2^4–1 is used to determine the number of tests. Four process parameters are chosen as input parameters, namely spindle speed (R_pm), feed rate (F_e), depth of cut (a_ed), down feed (D_f). The multi-objective function optimization becomes only the optimization of Composite Desirability function (CDF). Regression functions to predict both surface roughness and material removal rate are constructed based on the experimental results. The results reveal that when CDF reaches the value of 0.669, it can be found the minimum surface roughness of 0.19 µm and MRS reaches a maximum value of 16.23 (g/h).

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Titel: Studying Optimal Set of Input Parameters for CBN Grinding Aluminum 6061T6 on CNC Milling Machine
verfasst von: Bui Thanh Danh
Luu Anh Tung
Tran Huu Danh
Tran Minh Tan
Trinh Kieu Tuan
Duong Van Phuong
Nguyen Dinh Ngoc
Verlag: Springer International Publishing
Buch: Advances in Engineering Research and Application
Print ISBN: 978-3-031-22199-6

Electronic ISBN: 978-3-031-22200-9

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-22200-9_95

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