A method to predict early-ejected plastic part air-cooling behavior towards quality mold design and less molding cycle time

被引:21
作者
Fu, Junyu [1 ]
Ma, Yongsheng [1 ]
机构
[1] Univ Alberta, Mech Engn, Donadeo Innovat Ctr Engn, 10-235,9211 116 St NW, Edmonton, AB T6G 1H9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Molding air-cooling; Moldflow (TM)-Ansys (TM) integration; Molding simulation; Molding cycle time; Plastic injection molding; INJECTION; SYSTEM; TEMPERATURE;
D O I
10.1016/j.rcim.2018.08.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
It is a common industrial practice to eject injection-molded plastic parts early, at a high temperature, and allow the parts to cool down in the air. This practice shortens the cycle time and reduces production cost. However, current commercial injection molding simulation software tools can only consider the in-mold cooling process. The simulation of the air-cooling stage after ejection is not well supported in such tools even though the air-cooling shrinkage is significant when plastic parts are ejected at high temperatures. The authors propose a Moldflow (TM)-Ansys (TM) integrated FEA method to simulate the air-cooling process so that the air-cooling shrinkage can be considered at the early design stage and the quality of the part can be ensured with less molding cycle time. A real industrial case study is provided to show the procedure and its validation. The proposed method integrates Moldflow (TM) and Ansys (TM) by feeding Moldflow (TM) simulation results as the intermediate state data set into Ansys (TM) for air-cooling effect simulation. With a real testing product part ejected at a high temperature, the proposed approach shows promising predictions of the 3D warpage displacement. In this way, the cost factor of molding cycle time can be considered at the mold design stage and a cost-effective design can be developed.
引用
收藏
页码:66 / 74
页数:9
相关论文
共 34 条
[1]  
Adell Plastics INC, MAT TEST REP
[2]   Optimal cooling design in injection moulding process - A new approach based on morphological surfaces [J].
Agazzi, Alban ;
Sobotka, Vincent ;
LeGoff, Ronan ;
Jarny, Yvon .
APPLIED THERMAL ENGINEERING, 2013, 52 (01) :170-178
[3]  
ASTM Compass, STAND TEST METH TRAN
[4]   Visibility-based conformal cooling channel generation for rapid tooling [J].
Au, K. M. ;
Yu, K. M. ;
Chiu, W. K. .
COMPUTER-AIDED DESIGN, 2011, 43 (04) :356-373
[5]  
BASF Corporation, BASF CORP PLAST PORT
[6]   A neural network-based approach for dynamic quality prediction in a plastic injection molding process [J].
Chen, Wen-Chin ;
Tai, Pei-Hao ;
Wang, Min-Wen ;
Deng, Wei-Jaw ;
Chen, Chen-Tai .
EXPERT SYSTEMS WITH APPLICATIONS, 2008, 35 (03) :843-849
[7]   Cost-effective design for injection molding [J].
Chen, YM ;
Liu, JJ .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 1999, 15 (01) :1-21
[8]   Towards automatic shape modification in injection-moulded-plastic-part design [J].
Deng, YM ;
Britton, GA ;
Lam, YC .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2006, 28 (5-6) :495-503
[9]   Design and optimisation of conformal cooling channels in injection moulding tools [J].
Dimla, DE ;
Camilotto, M ;
Miani, F .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 164 :1294-1300
[10]  
Fan XJ, 2010, INT POLYM PROC, V25, P47, DOI 10.3139/217.2301