The objective of this paper is to present a methodology for automatically balancing multi-cavity injection molds with the aid of flow simulation. After the runner and cavity layout has been designed, the methodology adjusts runner and gate sizes iteratively based on the outputs of flow analysis. This methodology also ensures that the runner sizes in the final design are machinable. To illustrate this methodology, two examples are used wherein a 20-cavity mold and a 3-cavity mold are modeled and filling of all the cavities at the same time in both cases is achieved. In the case of the 20-cavity mold, the effect of changes in the processing conditions on the balance of the flow is also studied using a 33-factorial test. The examples indicate that the described methodology can be used effectively to balance runner systems for multi-cavity molds.
Skip Nav Destination
Article navigation
November 1995
This article was originally published in
Journal of Engineering for Industry
Technical Papers
Automatic Runner Balancing of Injection Molds Using Flow Simulation
B. H. Kim,
B. H. Kim
Department of Mechanical Engineering, University of Massachusetts, Amherst, MA 01003
Search for other works by this author on:
M. C. Ramesh
M. C. Ramesh
Department of Mechanical Engineering, University of Massachusetts, Amherst, MA 01003
Search for other works by this author on:
B. H. Kim
Department of Mechanical Engineering, University of Massachusetts, Amherst, MA 01003
M. C. Ramesh
Department of Mechanical Engineering, University of Massachusetts, Amherst, MA 01003
J. Eng. Ind. Nov 1995, 117(4): 508-515
Published Online: November 1, 1995
Article history
Received:
April 1, 1993
Revised:
December 1, 1993
Online:
January 17, 2008
Citation
Kim, B. H., and Ramesh, M. C. (November 1, 1995). "Automatic Runner Balancing of Injection Molds Using Flow Simulation." ASME. J. Eng. Ind. November 1995; 117(4): 508–515. https://doi.org/10.1115/1.2803528
Download citation file:
Get Email Alerts
Cited By
A Dynamic Material Flow Model for Risk-Informed Decision-Making in Decarbonizing Global Aluminum Manufacturing
J. Manuf. Sci. Eng (November 2024)
Resilient Circularity in Manufacturing: Synergies Between Circular Economy and Reconfigurable Manufacturing
J. Manuf. Sci. Eng (November 2024)
In Situ Monitoring and Recognition of Printing Quality in Electrohydrodynamic Inkjet Printing via Machine Learning
J. Manuf. Sci. Eng (November 2024)
Effect of Shear Localization on Surface Residual Stress Distribution in Machining of Waspaloy
J. Manuf. Sci. Eng (November 2024)
Related Articles
Aerodynamic and Thermal Analysis of an Engine Cylinder Head Using Numerical Flow Simulation
J. Eng. Gas Turbines Power (July,1990)
Analysis of the Flow in a High-Pressure Die Casting Injection Chamber
J. Fluids Eng (March,2003)
Two-Dimensional Computational Model for Wave Rotor Flow Dynamics
J. Eng. Gas Turbines Power (October,1997)
Thermo-Fluid Design Simulation of Nd 3+ POCl 3 Transverse Flow Liquid Laser Cavity
J. Thermal Sci. Eng. Appl (December,2021)
Related Proceedings Papers
Related Chapters
Assessment of Flow Aggressiveness at an Ultrasonic Horn Cavitation Erosion Test Device by PVDF Pressure Measurements and 3D Flow Simulations
Proceedings of the 10th International Symposium on Cavitation (CAV2018)
Dynamic Behavior of Pumping Systems
Pipeline Pumping and Compression Systems: A Practical Approach
Towards Better Architecture for Web of Things
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)