Compression molding is one of the earliest forms of molding. It is typically used for thermoset materials, but can be used with thermoplastics. The advantages of compression molding include more isotropic fiber distribution, dimensional stability, and surface finish. Compression molding can also support large part sizes, and it has a tendency to produce fewer knit lines. Injection-compression molding is a combination of injection and compression molding. The process keeps the advantages of injection molding and combines them with the advantages of compression molding. In this class, we highlight the advantages and limitations of both processes. We also discuss, in detail, the implementation of the processes using Autodesk® Simulation Moldflow® Insight software.
and Autodesk Simulation Moldflow Insight users
Dr. Towfiq Gangjee is an Engineering Fellow with Schneider Electric, a global specialist in energy management, with solutions for power distribution, automation and control. He works in the Core Technology Group in Raleigh, North Carolina. Dr. Gangjee has a Ph.D. in Engineering Mechanics from Clemson University and has been with the company for over 20 years. Prior to that, he worked as a CAE Analyst at Becton Dickinson, a global medical technology company.At Schneider Electric, he specializes in Moldflow Analysis of the Injection Molding process using both Thermoplastic and Thermoset polymers. He is primarily involved in helping design plastic parts and molds to ensure manufacturability and pursuing Advanced Research and Development topics in the field of polymer simulation. Recently, Dr. Gangjee has been working with Autodesk Moldflow in providing his expertise and support in the development of Thermoset Injection-Compression and Compression molding simulation software..
David Astbury has over 23 years' experience in the Field of Rheology, Injection Molding, simulation and software development.Recognizing the need to provide more than just simulation and the requirement for customers to do things faster, better and cheaper, he became interested in combining optimization technologies with simulation and API scripting to provide unique solutions for customers. He is the principle author of the following optimization technologies within the Autodesk Moldflow suite: automatic injection time, molding window, design of experiments, runner sizing and balancing, gate location optimization, and process optimization.David is an optimization and automation evangelist, expert programmer, and has presented widely on the topic of optimization, the Autodesk Moldflow API, and automation at AU, within Autodesk, Moldflow and at Moldflow user groups.
The University of Bradford has been using Autodesk Simulation Moldflow software for many years to investigate key injection-molding effects such as fiber orientation, residual stresses, warpage, post-injection product performance, heat transfer, and feature replication. This class builds on our Autodesk University 2011 class and covers the experimental and computational analysis of short- and -fiber reinforced components during injection molding, along with thermal investigations of the micromolding process.