Volume 24, Issue 3 (March 2024)                   Modares Mechanical Engineering 2024, 24(3): 131-140 | Back to browse issues page


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Tajoddin A, Ranjbar A H, Jabbaripour B. Surface Integrity and Tool Wear in Milling Process Using Minimum Quantity Lubrication and Dry Techniques on 304L Steel. Modares Mechanical Engineering 2024; 24 (3) :131-140
URL: http://mme.modares.ac.ir/article-15-73651-en.html
1- Central Tehran Branch, Islamic Azad University
2- Central Tehran Branch, Islamic Azad University , beh.jabbaripour@iauctb.ac.ir
Abstract:   (617 Views)
This research investigates tool wear, elemental analysis (EDAX) on the machined surface, surface roughness, microhardness and microstructural changes in the cross-section of milled 304L stainless steel samples under dry and Minimum quantity lubrication (MQL) methods. The MQL process was able to improve the surface roughness for all milling parameters from 17% to 41% compared to the corresponding dry conditions. In dry machining, defects such as built up edge, severe flank wear and tool chipping were created. In MQL mode, these defects were significantly reduced and tool chipping was almost eliminated. By increase of cutting speed and depth, the surface hardness has increased. Compared to the dry method, the MQL reduces the hardness values and hardened depth below the machined surface. According to EDAX analysis on dry and MQL machined surfaces, applying the roughest cutting parameters, it was determined that no change of chemical elements occurred on machined surfaces. Increasing cutting parameters or dry machining causes the plastic deformation to intensify, the microstructure is flattened and the microstructure grains are compressed in the vicinity of the machined surface. The maximum reduction in thickness of deformed layer in MQL compared to dry method is 39%. For each milling sample, there is a direct relationship between the hardened depth and thickness of the corresponding microstructurally deformed layer.
 
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Article Type: Original Research | Subject: Machining
Received: 2024/01/30 | Accepted: 2024/06/9 | Published: 2024/02/29

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