Multi-Criteria Decision Making of Abrasive Water Jet Machining Process for 2024-T3 Alloy Using Hybrid Approach

• Autorzy: Khudhir Waqass S. , Abbood Mohanad Qusay , Shukur Jalil J.

Identyfikatory

DOI

10.12913/22998624/154040

• Języki publikacji: EN

Abstrakty

EN

Abrasive Water Jet Machining (AWJM) is one of the most environmentally friendly non-conventional machining processes, which can be employed to cut hard and thin materials without any thermal effects. In this study, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has been combined with the Entropy method and employed to find out the multi-criteria decision-making of process parameters. Experimental investigations have been conducted to evaluate the performance of the AWJM process in terms of surface roughness (Ra) and kerf angle (Ka). The selected process parameters are a stand-off distance (SOD), traverse speed (TS), and abrasive flow rate (AFL), whereas the AL-alloy 2024-T3 was selected as the work piece material. The image process technique has been utilized to measure the values of the Ka. The results demonstrate that the optimal solutions of the AWJM process, which give the smallest value of Ra and minimizes Ka, are 2mm, 20mm/min, and 100 g/min, for SOD, TS, and AFL respectively.

Słowa kluczowe

EN

TOPSIS; entropy; image processing; abrasive water jet machining

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2022
• Tom: Vol. 16, no 5
• Strony: 155--162
• Opis fizyczny: Bibliogr. 18 poz., fig., tab.

Twórcy

autor

Khudhir Waqass S.

• Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq

• https://orcid.org/0000-0001-7989-6310

autor

Abbood Mohanad Qusay

• Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq

autor

Shukur Jalil J.

• Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)