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http://dx.doi.org/10.14775/ksmpe.2017.16.6.007

A Study on The Optimization of Plastic Mold Steel Machining Using MQL Supply System  

Hong, Kwang-Pyo (Department of Mechanical Engineering, Inha UNIV.)
Song, Ki-Hyeok (Department of Mechanical Engineering, Inha UNIV.)
Lee, In-Cheol (Department of Mechanical Engineering, Inha UNIV.)
Kang, Dong-Sung (Department of Mechanical Engineering, Inha UNIV.)
Chung, Jae-Hwa (Department of Mechanical Engineering, Inha UNIV.)
Lim, Dong-Wook (Department of Mechanical Engineering, Inha UNIV.)
Kim, Woon-Yong (Department of Material Process Engineering, Inha UNIV.)
Beck, Si-Young (Department of Mechanical Engineering, Inha UNIV.)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.16, no.6, 2017 , pp. 7-14 More about this Journal
Abstract
This study manufactured a minimum quantity lubrication (MQL) supply system and identified the optimal MQL machining cutting conditions for plastic mold steel (SCM440). A series of experiments were consisted of twice. Optimal cutting conditions were derived using the Taguchi method, and cutting force variance; surface roughness; tool wear; and cutting temperature in dry, wet, and MQL machining were measured experimentally for these optimal conditions. The measured results decreased from dry to wet and MQL machining, being particularly large for dry machining due to increased cutting time. Measured MQL machining metrics were similar to those for wet machining, particularly for surface roughness, which is an index of machining quality.
Keywords
Minimum Quantity Lubrication; Plastic Mold Steel; Cutting Force; Surface Roughness; Tool Wear; Cutting Temperature;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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