Novel design of extension nozzle for in-situ injection molding process diagnosed by ultrasound transducer

博士 === 國立臺北科技大學 === 機電學院機電科技博士班 === 105 === The conventional monitoring of injection molding process control was not enough for the performance of its argument. Temperature of the barrel and the screw back-pressure on the plasticizing unit is the mainly detected. These two values just can be used as...

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Bibliographic Details
Main Authors: Yi-Lin Wu, 吳易霖
Other Authors: Chin-Chi Cheng
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/pb786f
Description
Summary:博士 === 國立臺北科技大學 === 機電學院機電科技博士班 === 105 === The conventional monitoring of injection molding process control was not enough for the performance of its argument. Temperature of the barrel and the screw back-pressure on the plasticizing unit is the mainly detected. These two values just can be used as a plasticizing stage to set parameters of the relative conditions, which did not truly express the plastic flow characteristics in the same time. Their product reliability presented by existing indicators to monitor and control which unable to obtain precise and effective process monitoring, data management to achieve the goal of validating. Therefore, the motivation of this study is (1) to in-situ monitor the flow characteristics in the plasticizing process through the installation of the detectors, (2) to process their feedback information, to effectively resolve and manage the finished product uniformity and its quality, especially the plastic parts would be applied to the high structural strength of application, such as moving components of syringes, medical sling clip, and most of the functional parts of medical devices. This study is an ultrasonic detection technology application for injection molding process of parsing nozzle of the plasticizing unit of the temperature, pressure and flow properties in good uniformity of molten flow characteristics; experiment based on the performance of standard tensile specimens for defining the basis, theoretical framework, capturing the signal of the process according to the appropriate injection parameters to profile and explore the details of TsEN. Highlights include: the structure design and installation of detector onto the nozzle of plasticizing section, the indicator change of wave velocity by this detector within each injection phase, the indicator change of wave velocity compared of PP and ABS resins within different injection speed setup, and stress-strain result of specimens. The TsEN would be a very simple and robust tooling for process monitoring of injection molding production.