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http://dx.doi.org/10.14775/ksmpe.2017.16.3.131

Reproducibility Prediction of Surface Roughness in Mold and Injected Parts through Polycarbonate Injection Molding  

Hong, Su Yong (Graduate school of convergence science, Pusan National University)
Kim, SungSu (SL Production Technology center)
Lee, Sang Sun (SL Production Technology center)
Lee, Ji Ho (SL Production Technology center)
Choi, Wong Jun (SL Production Technology center)
Kang, Myung Chang (Graduate school of convergence science, Pusan National University)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.16, no.3, 2017 , pp. 131-137 More about this Journal
Abstract
In this study, we evaluated the surface roughness of mold and injected parts manufactured by polycarbonate (PC) injection molding. The mold surface was polished to produce six differentiated roughnesses with 12 areas using stones (#800, #1200), sandpapers (#800, #1200), and diamond compounds (#8000, #14000). Injected parts were created using 20mm/s injection speed, 80 bar holding pressure for 5 seconds, and $70^{\circ}C$ cooling water. Injected parts surface roughness (Sa) was measured randomly in 10 of 30 using an interferometer (NewView8000, zygo, USA). In the same way, mold surface was measured randomly 10 times on 12 polished areas. Surface roughness of molds and injected parts were compared, and a regression equation to predict mold surface roughness was proposed for specific injection molding parameters.
Keywords
Surface roughness; Polycarbonate; Injection molding; Regression equation; Reproducibility;
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Times Cited By KSCI : 4  (Citation Analysis)
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