METHOD FOR PREDICTING VOID OF RESIN MOLDING, METHOD FOR REDUCING VOID OF RESIN MOLDING, PROGRAM FOR PREDICTING VOID OF RESIN MOLDING, AND PROGRAM FOR REDUCING VOID OF RESIN MOLDING

• Main Authors: HAMANO YUSUKE, MIYAZAKI AKIHIRO, AMANO YUTA, AOKI GEN
• Format: Patent
• Language: English; Japanese
• Published: 03.04.2024
• Subjects: AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING; PERFORMING OPERATIONS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR; SHAPING OR JOINING OF PLASTICS; TRANSPORTING; WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL

To provide a method for predicting occurrence behaviors of voids generated inside an injection molding obtained by injection molding a thermoplastic resin into a mold.SOLUTION: A method includes the steps of: creating a model for analysis in which an injection molding is divided into a plurality of elements; determining temperature distribution and pressure distribution of the model for analysis in a step of molding a thermoplastic resin; correcting pressure in a mold cavity; calculating elastic constant distribution and temperature load distribution of the model for analysis, using previously measured temperature dependency data of the elastic constant, data of a coefficient of thermal expansion and PVT data of the thermoplastic resin, from the temperature distribution and the pressure distribution; calculating a strain generated in each element of the model for analysis, by structural analysis using the elastic constant distribution and the temperature load distribution; and predicting a generation place of voids and/or a void amount from the strain.SELECTED DRAWING: Figure 2 【課題】熱可塑性樹脂を金型に射出成形してなる射出成形品の内部に生じるボイドの発生挙動を予測する方法を提供する。【解決手段】前記射出成形品を複数の要素に分割した解析用モデルを作成するステップと、熱可塑性樹脂を成形する工程における前記解析用モデルの温度分布及び圧力分布を求めるステップと、金型キャビティ内の圧力を補正するステップと、前記温度分布及び前記圧力分布から、予め測定された前記熱可塑性樹脂の、弾性定数の温度依存性データ、熱膨張率のデータ及びＰＶＴデータとを使用して、前記解析用モデルの弾性定数分布と、温度荷重分布とを算出するステップと、前記弾性定数分布及び前記温度荷重分布を用いた構造解析によって前記解析用モデルの各要素に発生するひずみを算出するステップと、前記ひずみからボイドの発生場所及び／又はボイド量を予測するステップと、を含む方法。【選択図】図２