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Plastics: Reading and Interpreting Data

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Course Format
  Advantage™
Continuing Education Units (CEUs)
0.0
Training Time ?
47 to 94 minutes
Language(s)
English
Browsers Supported
IE Desktop
Required Plugins
MasteryNet Player
Closed Captioning
No
Lesson Interactions
47
Quiz Questions
33
Product ID
arasdm03
Interactive Producer
A. Routsis Associates
Original Content Producer
A. Routsis Associates
Course screen Course screen Course screen
Overview

This training, the third in a four part series in the DECOUPLED MOLDING series, provides learners an understanding of graphs and scaling. The course explains how to identify different types of graphical curves, introduces the various integrals used in DECOUPLED MOLDING, and compares ideal and inconsistent pressure curves.

  • Rich multimedia presentation with interactions and quiz
  • Print certificate and wallet card
  • You have 60 days to complete the course
Audience

Any plastics employee working with RJG’s DECOUPLED MOLDING.

Topics
The course presents the following topical areas:
  • Data Analysis
  • Analyzing Molding Graphs
  • Data Points
  • Pressure Integrals
  • Injection Pressure Graphs
  • Cavity Pressure Graphs
  • Alarms
  • Trial and Error Method
  • High Process Capability
  • Alarm Questionable Parts Method
  • Part Sorting
  • Conclusion
Intended Learning Outcomes
Upon successful completion of this course you will be better prepared to:
  • Understand the scale of a graph and the integrity of a given data source.
  • Know the four different graphs used for analyzing the molding process.
  • Know how to extract specific data from the various pressure curves.
  • Be aware of how to measure pressure data over a specified period of time.
  • Know that graphs are valuable when troubleshooting a process.
  • Understand that graphs can reveal problems with improper transducer location.
  • Be aware that the ‘trial and error’ method is the simplest alarm method.
  • Know that this alarm method detects only large process variations.
  • Be aware that this alarm method is designed to monitor small variations.
  • Know the options that are available for part sorting.

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