Autodesk Moldflow Training

Lesson 1 • Creating and Managing Projects

Demonstrates how to create studies, import geometry, and organize project files. Proper project management prevents data loss and supports team collaboration.

Lesson 2 • Plastics Material Science Basics

Introduces polymer types, rheological behavior, and thermal properties relevant to simulation. Provides the material knowledge needed to interpret Moldflow results accurately.

Lesson 3 • Injection Molding Process Fundamentals

Covers the stages of the injection molding cycle and key process variables. Establishes the physical context that all Moldflow simulations model.

Lesson 1 • Generating and Refining Meshes

Teaches global and local mesh generation settings and iterative refinement techniques. Proper mesh density balances accuracy with computational efficiency.

Lesson 2 • Importing and Repairing CAD Geometry

Covers geometry import workflows and common CAD translation errors. Clean geometry is the prerequisite for generating a valid simulation mesh.

Lesson 3 • Modeling Feed Systems and Cooling Circuits

Covers creation of sprue, runner, gate, and cooling channel geometry within Moldflow. Accurate feed and cooling models are essential for realistic thermal and flow results.

Lesson 4 • Mesh Quality Diagnostics and Repair

Introduces mesh statistics, aspect ratio checks, and automated repair tools. Passing mesh quality checks ensures solver convergence and result validity.

Lesson 1 • Cooling System Process Conditions

Sets coolant inlet temperature, flow rate, and circuit connectivity for thermal analysis. Proper cooling setup enables accurate cycle time and temperature distribution predictions.

Lesson 2 • Defining Injection Process Parameters

Covers melt temperature, mold temperature, injection time, and velocity profiles. These parameters replicate real machine settings and drive simulation fidelity.

Lesson 3 • Selecting Materials from the Database

Guides students through searching, filtering, and selecting materials in the Moldflow database. Correct material selection directly affects the accuracy of flow and thermal predictions.

Lesson 1 • Running a Fill Analysis

Walks through analysis sequence selection, solver settings, and job submission. Understanding the solve workflow prevents common setup errors before computation begins.

Lesson 2 • Pressure and Clamp Force Results

Covers injection pressure at the gate, pressure distribution, and clamp force plots. These outputs validate machine selection and identify overpacking risks.

Lesson 3 • Interpreting Fill Time and Flow Front

Explains fill time contour plots and flow front advancement patterns. These results reveal short shots, race tracking, and hesitation defects.

Lesson 4 • Weld Lines and Air Traps

Locates weld line positions and air trap predictions from fill results. Repositioning gates or adding vents mitigates these cosmetic and structural defects.

Lesson 1 • Hot Runner System Simulation

Models hot runner manifolds, valve gates, and sequential fill strategies in Moldflow. Hot runner simulation predicts thermal balance and sequential gate timing effects.

Lesson 2 • Feed System Optimization Workflow

Integrates gate, runner, and packing changes into a structured optimization loop. Students document design iterations and select the best-performing feed system configuration.

Lesson 3 • Gate Location Analysis

Uses the Gate Location advisor to identify optimal injection points based on flow resistance. Optimal gate placement minimizes fill pressure and reduces weld line severity.

Lesson 4 • Multi-Cavity Runner Balancing

Applies geometrical and rheological balancing methods to achieve simultaneous cavity fill. Balanced runners ensure consistent part quality across all cavities in a family tool.

Lesson 1 • Cooling Time and Cycle Time Analysis

Analyzes time-to-freeze and part ejection temperature results to estimate cycle time. Reducing cooling time directly improves production throughput.

Lesson 2 • Mold Temperature Distribution Results

Interprets cavity-side and core-side temperature contours and temperature differentials. Uneven mold temperature is a primary driver of differential shrinkage and warpage.

Lesson 3 • Cooling Circuit Design Optimization

Applies circuit layout changes, diameter adjustments, and conformal cooling concepts to improve uniformity. Systematic cooling optimization reduces both defects and cycle time simultaneously.

Lesson 1 • Shrinkage Prediction and Compensation

Covers volumetric and linear shrinkage outputs and their use in mold cavity scaling. Shrinkage compensation data is delivered directly to toolmakers for cavity dimension adjustment.

Lesson 2 • Running a Warp Analysis

Sets up the Warp analysis sequence following Fill and Cool results. Warpage simulation requires completed thermal and flow data as upstream inputs.

Lesson 3 • Warpage Cause Decomposition

Separates warpage contributions from differential cooling, differential shrinkage, and orientation effects. Identifying the dominant cause guides the most effective corrective action.

Lesson 4 • Total Displacement and Deflection Results

Interprets total displacement vectors and magnitude contours across the part surface. Displacement plots reveal the overall shape deviation from nominal geometry.

Lesson 1 • Design of Experiments in Moldflow

Applies DOE sequences to systematically vary process parameters and evaluate their effect on outputs. DOE reduces the number of physical trials needed to reach an optimized process window.

Lesson 2 • Simulation Result Validation Methods

Compares simulation predictions against short-shot studies, CMM data, and process records. Validation builds confidence in the simulation model and calibrates future studies.

Lesson 3 • Gas-Assisted Injection Molding Simulation

Models gas injection timing, pressure, and channel geometry for gas-assisted processes. Simulation predicts gas penetration length and wall thickness distribution.

Lesson 4 • Fiber-Filled Material Simulation

Simulates fiber orientation in glass- or carbon-filled materials and its effect on mechanical properties. Fiber orientation data feeds structural analysis tools for accurate part performance prediction.