A Study on the Characteristics Analysis According to the Mold and Platen Forced Variation to Injection Molded Part

碩士 === 逢甲大學 === 機械與電腦輔助工程學系 === 107 === Plastics are light in weight, high in plasticity, and have a certain mechanical strength, thus they are widely used in daily life. Injection molding is one of the most common plastic production technologies. With the combination of peripheral auxiliary machine...

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Bibliographic Details
Main Authors: PAN, PEI-SHENG, 潘培聖
Other Authors: PENG, HSIN-SHU
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/cczrwh
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Summary:碩士 === 逢甲大學 === 機械與電腦輔助工程學系 === 107 === Plastics are light in weight, high in plasticity, and have a certain mechanical strength, thus they are widely used in daily life. Injection molding is one of the most common plastic production technologies. With the combination of peripheral auxiliary machines, various types of manufacturing process technology can be formed. With the vigorous development of smart machinery, the demand of industry and technology in smart machinery, the intelligent and automation for injection molding machines are becoming essential. On the other hand, for the current production of intelligent injection molding machines, with the combination of product quality monitoring and CAE predictable analysis, the trend of pressure and temperature inside the mold cavity has often been analyzed in domestic and foreign countries. Based on the sensing of clamping phase in the injection molding cycle time, the research for the development of monitoring the consistency of production and reducing the production defect rate, as well as the setting of the injection molding conditions and the deformation of the clamping and mold mechanism is still quite limited, therefore this study will systematically discuss the mold and the clamping mechanism thoroughly. In this study, the characteristics of the injection molding product are analyzed through the deformation of the mold and platen. The changes of the combined clamping force and packing pressure etc. are observed through a symmetrical cavity mold with two cavity tools (ASTM-D638 tensile test piece), therefore this study will be divided into two phases for research and discussion. The first stage: Through structural analysis software to predict and discuss the deformation of the platen under the different clamping force, and the separation phenomenon caused by the pressure on the mold face under different settings of packing pressure during the filling stage. At the same time the analysis results are integrated to obtained the mold face separation and the platen deformation in order to get the locations to place the sensors. The second stage: The trend of CAE analysis is verified through the injection molding experiment and sensors, with the combination of clamping force and different settings of packing pressure, to investigate the mold face separation and the deformation of the platen. In order to observe the tendency of the thickness and weights of the product, the trend of the pressure change in the cavity during the process of the mold and platen under pressure is obtained through the mold cavity sensors. The results show that (1) the static analysis results of the structural analysis software shows that the deformation trend of the fixed platen and movable platen after the high-pressure clamping can be predicted by using CAE software. (2) By analyzing the measured position obtained and the platen real-time sensing system is established, the phenomenon of mold face separation and platen deformation is successfully observed, and the data is effectively acquired. (3) The results show that when the pressure of the cavity increases due to the changes of the clamping force and the packing pressure, the amount of the mold face separation and deformation of the platen will increase, and relatively, the thickness and weight of the product will also increase. (4) The trend of internal mold sensing can be predicted by the trend of the external mold sensing, and the quality of the product can be successfully predicted by the curve of cavity pressure, mold face separation and platen deformation.