Asset 12 Asset 10 Asset 11 autodesk_icon_font_1_18_17_start_over-01

Keyboard ALT + g to toggle grid overlay

Wen Zhong

SIM21154: Metal Injection Molding with Moldflow

(Duration 52:13)

  • Save to my AU Saved

Key Learning

Key Learning

  • Learn how to predict the various kinds of defects of the MIM, such as weld line and "black line"
  • Discover the validity of the MIM simulation by comparing with experimental data
  • Discover the best practices for using the MIM feature
  • Learn how Moldflow collaborates with external partners

Materials

Materials

Description

Description

The metal injection molding (MIM) process is a combined one of the injection molding and powder metallurgy, and it is used to manufacture complex metallic parts. Now Moldflow Insight software can simulate the MIM process and predict different common defects from the MIM process, such as weld lines, air traps, and "black lines" caused by the powder segregation. The Moldflow Research and Development Team has teamed with AAC Technologies (the world's leading comprehensive microcomponent technology provider) to simulate this process. This class will introduce the basic theory, challenges, and actual cases to show the MIM feature in Moldflow Insight software. Finally, an excellent correlation was achieved with validation data provided by AAC. This session features Moldflow Insight.

Target Audience

Target Audience

Metal Injection industry, plastics industry, Moldflow Users, Plastics Engineers

Speakers

Speakers

Wen Zhong

Wayne ZhongI received my doctorate from Huazhong University of Science and Technology in the year of 2013 and has served as advanced R&D engineer in AAC Holding Inc. from then on. My research major is plastic forming simulation and advanced manufacturing technology. My topic is Research on the Simulation Method in Metal Injection Molding of stainless steel with Moldflow. In this class, the application of MIM process in consumer electronics industry was introduced briefly. The filling behavior and density distribution were intensively studied by a combination of simulation with Moldflow and forming experiments. As a result, the forming defects were predicted preliminarily.

Jiang Gene

Zhenong Jiang is a senior software quality assurance engineer for the Moldflow software products within Autodesk (China) Software Research and Development Co. He has worked for the Moldflow software systems for 7 years, and he focuses on assuring the quality of the Moldflow solvers relating to transient cool for over-molding and gas-assisted, fiber, crystallization, ejection force, and metal injection molding. Recently he also spent some time supporting customers. He holds both an MS and a BS in mechanical engineering.

Related Classes

Related Classes

Tags

Published

  • 2016
  • SIM21154
  • AU Las Vegas

Software

  • Moldflow Insight

Industries

  • Process Manufacturing
  • Consumer Products

Topics

  • Simulation