10/05(一)專題演講公告

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上層分類：系所公告

分類：演講

建立於 2020-09-29, 週二 17:03

最近更新於 2020-10-13, 週二 10:22

發佈於：2020-09-29, 週二 17:21

點擊數：1905

演講者：郭俞麟 博士

演講題目：Surface Treatment on Metals via Atmospheric Pressure Plasma

 演講人：郭俞麟 博士

服務單位：台灣科技大學機械系

演講題目：Surface Treatment on Metals via Atmospheric Pressure Plasma

演講時間：109年10月05日(星期一)早上10點20分

演講地點：工綜館203國際演講廳

個人學歷：  國立台灣科技大學化工所博士

                   元智大學化工系學士

個人經歷：國立台灣科技大學    機械系    教授/副教授/助理教授

                        國立台灣科技大學    學務處    副學務長

                        國立台灣科技大學    國際處    大陸事務辦公室主任

                   臺灣鍍膜科技學會                    理事

                   大同大學                   材料系    助理教授

演講摘要： 

Due to the quick development of the plasma technology under atmospheric pressure, our group is continually focused on developing the atmospheric-pressure plasma jet (APPJ) for feasible applications on metal substrate. Our researches related to APPJ systems is set for two main applications, which can be categorized into Surface Treatment, and Coating. First of all, using APPJ to enhance the bonding issues were achieved, which were used for fabricating anti-fingerprint coatings on items such as faucets, shower heads, and kitchen utensils. As a result, the high surface energy and hydrophilic characteristic completely enable the chemical bondings of substrates with the bonding agent for a better adhesion. The second issue will be related on silica anticorrosion layer coating by APPJ, where ultrathin silica coating not only alter the surface property, but also improve the corrosion resistance of AZ91D magnesium alloys. The third is to utilize the rapid plasma-assisted nitriding process to treat the surface of SKD11 cold-working steel for increasing its surface hardness to reach an increased Vicker microhardness around 1095±15.5 HV_0.3 within 17 min. After 300K cycling impacts test, the plasma-assisted nitrided SKD 11 was evidently proven to have the higher impact fatigue. For current researches on the industrial applications at our group, integrating APPJ system with a robotic arm is a promising technology with its potential for the costdown on the future manufacturing process.