Comparison and optimization of burnishing parameters in various machining conditions

Nguyen, Trung Thanh (author), Cai, Jinglun (author), Le, Minh-Thai (author), Nguyen, Thai-Chung (author), Nguyen, Truong-An (author), Dang, Xuan-Ba (author), Van, An-Le (author)

This study proposes a cryogenic diamond burnishing process and optimizes cooling parameters, including the distance to nozzle (N), nozzle diameter (D), and CO▫$_2$▫ flow rate (Q) to minimize the maximum roughness (R), energy consumption (E), and circularity (C). The Kriging and adaptive-network-based fuzzy inference system (ANFIS) methods were ultilized to propose the response models. The CRITIC, non-dominated sorting genetic algorithm-II (NSGA-II), and MABAC were applied to calculate the weights, generate feasible solutions, and select the best optimal data. The result indicated that the optimal N, D, and Q were 15 mm, 9 mm, and 8 L/min, respectively. The reductions in the roughness, energy, and circularity were 15.5 %, 2.0 %, and 38.6 %, respectively. The roughness and energy models were primarily affected by Q, D, and N, respectively, while circularity model was influenced by the N, D, and Q, respectively. The proposed process could be used to machine different holes with minimizing environmental impacts. Lower roughness and circularity were achieved using the cryogenic diamond burnishing process. The Kriging-NSGA-II could be utilized to show non-linear data and produce the best results.

• Language: English
• Keywords: cryogenic diamond burnishing, energy consumption, maximum roughness, circularity, kriging model
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FS - Faculty of Mechanical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2025
• Number of pages: Str. 127-135
• Numbering: Vol. 71, no. 3/4
• PID: 20.500.12556/RUL-174361
• UDC: 621
• ISSN on article: 2536-3948
• DOI: 10.5545/sv-jme.2024.1248
• COBISS.SI-ID: 251301635
• Publication date in RUL: 01.10.2025

Record is a part of a journal

• Title: Strojniški vestnik
• Shortened title: Stroj. vestn.
• Publisher: Fakulteta za strojništvo
• ISSN: 2536-3948
• COBISS.SI-ID: 294943232

Secondary language

• Language: Slovenian

Abstract

Ta raziskava predlaga postopek kriogenega diamantnega glajenja in optimizira parametre hlajenja, kot so razdalja do šobe (N), premer šobe (D) in pretok CO▫$_2$▫ (Q), z namenom minimiziranja maksimalne hrapavosti (R), rabe energije (E) in krožnosti (C). Za izdelavo odzivnih modelov sta bili uporabljeni metodi Kriging in ANFIS (adaptive-network-based fuzzy inference system). Za izračun uteži, generiranje izvedljivih rešitev in izbiro optimalnih podatkov pa so bile uporabljene metode CRITIC, nedominirana sortirna genetska optimizacija NSGA-II in metoda MABAC. Rezultati so pokazali, da optimalne vrednosti parametrov N, D in Q znašajo 15 mm, 9 mm oziroma 8 L/min. Zmanjšanje hrapavosti, energije in krožnosti je bilo 15,5 %, 2,0 % oziroma 38,6 %. Na modela hrapavosti in energije so najbolj vplivali parametri Q, D in N, medtem ko je bil na model krožnosti vpliv parametrov N, D in Q. Predlagan postopek se lahko uporablja za obdelavo različnih lukenj ob zmanjšanem vplivu na okolje. Z uporabo kriogenega diamantnega glajenja smo dosegli manjšo hrapavost in krožnost. Kriging-NSGA-II se je izkazal kot učinkovit za prikaz nelinearnih podatkov in doseganje najboljših rezultatov.

• Keywords: kriogeno diamantno glajenje, raba energije, maksimalna hrapavost, krožnost, kriging model