Solidworks Training
Polymer/Plastics Training Courses
Design of Experiment (DOE) Training Course
SOLIDWORKS TRAINING MODULE
Solidwork Essential Training
- Beginner level
- Developing mechanical design
- Making a 2D drawing
- Building 3D parametric model of parts and assemblies
- Solidwork Simulation
- Solidwork Inspection
Solidwork Advanced Part Modelling
- Using multibody solids
- Sweeping and lofting features
- File management
- Weldments
- Simulation professional
- Flow simulation
- Motion
Solidwork Assembly Modelling Training
- Advance Level
- Assembly modeling
- Surface modeling
- Mold design
- Simulation - Dynamics
- Simulation - Nonlinear
POLYMER/PLASTICS TRAINING COURSES
Failure Analysis of Polymer Products (3 Full Days)
Identifying failure in plastic parts is often difficult as it is induced by a combination of many factors (additive/polymer used, processing conditions, environment, etc.). By lack of failure analysis experience, you may feel lost not knowing which test to run first... or even worst, mix up primary and secondary causes and focus your time & efforts on the wrong factor!
Product Managers, Manufacturing/Design Engineers, Quality Control Staff, Warranty/ Return Team Members interested in a structured methodology to analyze failures in their plastic parts, thereby minimizing all risks.
- Strengthen your ability to better identify the main cause of failure by generating the right data from your test methods (FTIR, DSC, TGA...)
- Explore strategies to best combine & interpret tests through step-by-step analysis of real cases: design, use in electrical, medical, automotive...
- Set-up a fool-proof failure prevention strategy for your plastics parts by efficiently using prediction methods (accelerated testing, simulated trials...)
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Failure Analysis Approach
- Flowchart depicting steps for efficient analysis
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Analytical techniques used in Failure Analysis (FTIR, DSC, TGA, Gas Chromatography, Mechanical Testing….)
- Generating the right data
- Key differences between different tests, when to use what?
- Practical Strategies to best combine data from different tests
- Identifying Primary vs Secondary Causes
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Strategies for prevention of different failures
- Life Performance Factors (stress, temperature, time…)
- Monitoring Plastic Property Loss
- Prediction Methods: Accelerated Testing, Creep…
- Limitations
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Step by Step Analysis of Real life Case Studies
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Failure due to manufacturing, design, molding, field-use in electrical, medical, automotive & other applications
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Plastic Injection Molding: Manufacturing Process Fundamentals (3 Full Days)
Product Managers, Manufacturing/Design Engineers, Quality Control Staff, Warranty/ Return Team Members or anyone working with production equipment or handling the material will greatly benefit from this short course.
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An overview of plastics and the industry
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A typical molding facility
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General plant safety
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An introduction to the molding process
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Molding machine components
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Material handling
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Injection mold terminology
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Common part defects
This basic module provides participants with a general understanding of the three major aspects of injection molding; the injection molding machine, the molding process, and the injection mold.
- Cites important safety precautions for working around injection molding machines
- Gives an introduction to the injection molding process
- Introduces machine types and the different modes of operation
- Discusses injection molding machine components and their respective functions
- General procedures for starting up and shutting down a molding machine
- Discusses polymers and the three criteria used to classify them
- Covers some of the more common procedures for material preparation
- Introduces the three phases of the molding process; injection, cooling and ejection
- Explains the need for maintaining an accurate process log
- Defines common injection molded part defects and explains their causes
- Explains the specific functions that an injection mold must perform
- Introduces the various machining methods used to construct an injection mold
- Discusses the three mold configurations used in the industry
- Covers common runner shapes and gate types used in injection molds
- Gives an overview of proper injection mold maintenance
This program explains how and why plastics are different and cites several different types of polymers and processing considerations. Understanding Plastics emphasizes material handling, explains regrind, and covers the effects that moisture can have on molded part properties during processing.
- The definition of plastics
- Polymer classification
- Material properties affected by processing
- Proper material handling techniques
- Processing characteristics of virgin and regrind
Establishing a Scientific Molding Process
This scientific molding training course provides participants with in-depth processing information to better prepare them for making appropriate and cost-effective decisions when establishing or improving a scientific injection molding process.
The course teaches a processing strategy that properly decouples 1st stage fill from 2nd stage pack. Students who understand and utilize the strategy described in this course will produce processes with a much higher repeatability. The steps outlined in this course are intended to quickly establish a scientific injection molding process, reduce downtime and improve process efficiency.
- General Rules for Scientific Processing
- Scientific Process Optimization Strategies
- 1st Stage Filling
- 1st Stage to 2nd Stage Transfer
- 2nd Stage Pack
- Screw Delay
- Screw Recovery
- Screw Decompression
- Cooling Time
- Mold Opening
- Part Ejection
- Mold Closing
- Clamping
DESIGN OF EXPERIMENT (DOE) TRAINING MODULES
Design of Experiments Basic Training (2 Full Days)
Our Design of Experiments (DOE) training course is designed to teach you both theory and hands-on requirements necessary to run and execute the DOE.
DOE is considered to be a strategically planned and executed experiment to provide detailed information about the effect on a response variable due to one or more factors: One–Factor–at–a–Time (or OFAT).
DOE in general is a useful method to solving problems, optimizing, designing products, and manufacturing and engineering. In particular, DOE is applied for root cause quality analysis, developing optimized and robust designs, and producing analytical and mathematical models to forecast the system behavior. The DOE training for engineers seminar will provide you a combination of theory, discussion, and practical material to help you feel comfortable and fluent in executing the DOE.
The DOE training course for engineers will teach you what design of experiment to choose, how to execute the DOE, and how to analyze the DOE results. You also will get a chance to analyze different case studies and analyze them on paper and on the computer.
To sum up, through the DOE training course for engineers, you will gain sufficient knowledge and skills on how to design, perform, and analyze experiments in the industrial scales. You will learn about the principals of DOE and that how it is applied to improve the quality and efficiency of projects.
The Design of Experiments Training is designed for:
- Quality managers and engineers
- SPC coordinators
- Quality control technicians
- Consultants
- R&D managers, scientists, engineers, and technicians
- Product and process engineers
- Design engineers
At the end of this training, you will know how to execute the DOE, and how to analyze the DOE results. You also will get a chance to analyze different case studies and analyze them on paper and on the computer. Besides, you will gain sufficient knowledge and skills on how to design, perform, and analyze experiments in the industrial scales. You will learn about the principals of DOE and that how it is applied to improve the quality and efficiency of projects.
Overview of Design of Experiments
- What is DOE?
- Elements of an experiment
- Elements of the scientific methodology
- How to incorporate the scientific method into an experiment
- How much data is enough for an experiment?
- Determine various features of the design of experiments method
- Experimental geometry
- Response mapping
- Relationship between the principals of a DOE with the definitions associated with it
- What are the advantages of using DOE compared to conventional experimentation methods
- Steps to design an experiments
- Full Factorial Experiments using Cube Plots
- Minitab introduction
Planning a DOE
- Determining the quality of an experiment
- Defining the objectives of an experiment
- Determining the effective variables
- Determining the weight of each variable
- Identifying, defining, and categorizing independent variables of an experiment
- Eliminating unnecessary variables
- Recognizing additional elements necessary to design an experiment
Problem Solving With DOE
- The process of problem solving in DOE
- Multistep processes DOE to confirm the DOE results
Analyzing The DOE Results
- How to use ANOVA table to test a theory
- How to perform a t-ratio test
Various Categories of DOEs (I)
- Fully randomized design
- Fully randomized block form
- Partially randomized block form
- Latin Square design
Various Categories of DOEs (II)
- Complete factorial design
- Fractional (partial) factorial design
Confounding
- The Confounding Principle
- The advantages and disadvantages of confounding compared to partial factorial experiments
- How confounding can happen in a DOE?
- Generators and ‘Design Resolution’ importance of the “’Alias String’
- How to perform partial factorial experiments using default generators and by specifying generators
The Robust/Taguchi DOE
- Where is Robust/Taguchi relevant?
- How Robust/Taguchi is different?
- Taguchi applications
- How to set up a Taguchi DOE in Minitab
The Response Surface DOE
- Where is Response Surface relevant?
- How Response Surface is different?
- How to set up a Response Surface DOE in Minitab