In this session you’ll have the opportunity to take the  Moldflow Insight  and  Moldflow Insight Professional level certifications. You will also have the opportunity to discuss your use of Moldflow Insight software with expert Moldflow Insight software trainers.

Do you use CAD models with Autodesk Moldflow products? If yes, then don't miss this class. We will discuss how to leverage Autodesk Inventor® Fusion technology as the front-end modeler and idealization tool for Autodesk Moldflow. We will show how to use Inventor Fusion to import CAD data, then edit and simplify it in preparation for Autodesk Moldflow simulation. We will discuss the techniques to simplify a part model and make design changes, such as modifying the part thickness and adding ribs, using Inventor Fusion. We will also discuss the alternative workflow of starting the simulation process in Autodesk Moldflow Insight, launching Inventor Fusion from Autodesk Moldflow Insight to modify geometry, and then rerunning the solver analysis in Autodesk Moldflow Insight.

The Simulation Moldflow Insight Certification Exams will be held Monday, December 1, at Mandalay Bay J from 8 a.m. to 5 p.m.

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.

Attend this class to learn how to design and build a better plastic part by using all the services in Sim 360 Moldflow cloud-based simulation software.

The Moldflow Sensitivity Study, a design of experiments (DOE), determined the impact of common Autodesk Simulation Moldflow Insight software processing inputs on common results. It also helped to determine the level of interaction among these settings and the impact of material- and geometry-specific interactions. We will highlight the methods used for performing the study, including tcodes, tcodesets, scripts, the Moldflow command shell, creation of studies, modification of studies, extraction of results, and more. Attendees will be able to repeat a similar study with their own commonly used geometries and materials. Study results will help Moldflow Insight users to increase efficiency by reducing design optimization time and determining the magnitude of impact of commonly used process settings. Note: This study included some functionality not currently available in the Moldflow Insight DOE module.

In this session, you’ll have the opportunity to take the Moldflow Associate and Moldflow Professional level certifications. You will also have the opportunity to discuss your use of Moldflow software with expert Moldflow software trainers. Exams will be held Monday, November 14, in room San Polo 3405, Level 3, from 8 a.m. to 5 p.m.

In this class, you will learn about products in the Autodesk Simulation Moldflow software ecosystem that can bring fantastic and unique capabilities to Moldflow products. We will introduce you to capabilities that can help make your job easier, better, and more fun. The class will cover several products, including Autodesk® Simulation 360 cloud-based software and the Autodesk® Inventor® Fusion Technology Preview, which is a free history-free modeler that you can use to make simple changes to existing CAD geometry. We will also cover the Autodesk® Simulation® DFM add-on, which is a designer tool that helps you develop a plastic part that follows standard plastic design rules and can help you avoid time-consuming iterations between the Moldflow user and the CAD designer. You will learn about Autodesk® PLM 360 cloud-based product lifecyle management and Autodesk® Vault, Autodesk® Showcase®, and Autodesk® Inventor® Publisher software. We will also examine Autodesk® Simulation Mechanical software and the tooling capabilities of Autodesk® Inventor® software. Finally, we will introduce you to the Project Simulus Technology Preview from Autodesk Labs.

Last year we explored different approaches to injection molding simulations with Simulation Moldflow Insight software. This year we will dive into approaches to measuring warpage results. We have given individual users a problem to solve using Simulation Moldflow Insight software. We will present their approaches, and then we will compare and contrast the different approaches. Analyisto e analyisto, it’s a showdown you don’t want to miss. Let’s get ready to rumble! This session features Moldflow Insight.

Microcellular Injection Molding (MuCell) is a mechanical foaming process used to improve the performance/weight characteristics of an injection-molded part. This class focuses on the Microcellular Injection Molding module for Autodesk® Simulation Moldflow® Insight. We explore how well the module correlates with real-world molded samples, determine the best approach for using the module for a brand new mold, and discuss any limitations to the module.

Find out how Simulation Moldflow Insight software was used in the successful investigation of gate and runner design optimization. We will give special focus to automatic geometry morphing and optimization through use of optimization software. Anyone interested in learning more about applying the powerful and specialized modules of Simulation Moldflow Insight software in the early stages of product design will gain from this lecture.

In this class, you will learn how we used Autodesk Simulation Moldflow Insight Ultimate software to successfully design and develop active-shutter 3D glasses for LCD television. We will focus on the prediction and mitigation of stress birefringence in an optically sensitive injection-molded component. Anyone who is interested in learning more about applying the powerful and specialized modules of Moldflow Insight software in the early stages of product design will gain from this class.

This class will show you how Autodesk Moldflow can be integrated as a new discipline in numerical optimizations of mechanical part behavior. We will show the influences of fiber orientation on mechanical behavior due to changes in design variables. We will also show how the workflow changes when Moldflow is incorporated into the optimization process. Finally, we will give examples of the use of the new method of integrative optimization.

 Moldflow Insight software is used to develop automotive interior and exterior in China’s Chang’an Automobile Group, from the stage of engineering design to part's structure design then to mold design and molding condition optimize also include the trouble shooting after the first trial. Based on the comparison between the experiment and Moldflow Insight results, Chang’an successfully built an analysis standard and results judge standard. With the help of API, Chang’an created many programs to automatically do the model create, molding condition optimize, results judge, and so on. To meet the assessment criteria of GDT which was used on the part of motor, normally defined the tolerance of fit. Changan's analyst explore and studied a new way to simulate and examine the part's GDT by co-work with Moldflow Insight, Digimat, and Abaqus. This class will use many actual case to show these application, through that we can see the benefit of use right  Moldflow Insight application strategy in the development of automotive interior and exterior new part.

Weld lines can have negatively affect the part performance as well as the aesthetics. In this class we will discuss new developments around weld line strength prediction, and show a case study about how to improve a weld line formation after holes by using a differential of local thickness. The area around hole was split in 5 zones or thickness parameters. The maximum of change was 0.5mm. The thickness change was made in Dual domain mesh and after is generate 3D mesh. The weld line was evaluate by how many edge elements was count in “Weld Line” result.

The methodology was used consist in automatic workflow using 3 main programs: ANSA is a pre-processor and responsible for change of thickness in DD mesh and export model for Autodesk Moldflow Insight; this one, by command line, is going to do 3D mesh and set up and run a fill analysis; Isight is an optimization program that will control all process and to do a DOE for measuring a sensibility of thickness around the featur. 

In this class we will introduce the basic concepts and principles behind the Application Programming Interface (API) and show how you can use it to enhance the capabilities of Moldflow Insight. The class will introduce the API functionality and conventions through a series of scripts that highlight common tasks completed with the API. Key areas covered will include creating custom plots and results, creating and examining mesh quality, exporting results, and interfacing with Microsoft Excel and Microsoft PowerPoint. The lab will consist of a mixture of lectures and hands-on exercises to ensure that both the theoretical and practical aspects of building API scripts are covered. No previous programming knowledge is required to take this lab.

The success of a new product launch relies heavily on the ability of molding thermoplastic parts within specified tolerances and successfully assembling them into a functional product. Building a mold with the correct mold-shrinkage values is crucial for a given plastic material. Currently, a toolmaker guesses the shrinkage value from the range published by a material supplier before cutting steel. Thus, choosing one value at the mid-point of the range results in a part with vastly different shrinkage values in the flow, cross-flow, and transverse directions. Subsequently, many compromises may have to be made in order to qualify the part and approve the tool before routine production. We have been working with Moldflow software to improve and fine-tune the material testing and plastic-part simulation in order to predict accurate shrinkage values to eliminate the guesswork and make more-educated decisions before ordering tools. This session features Moldflow Insight and Moldflow.

This class will review new functionality in Moldflow Insight software and discuss current research directions in the development of Moldflow Insight software. Capabilities covered will include multi-shot overmolding and mold cooling; composite overmolding; the effect of fiber orientation on viscosity; the effect of material degradation on viscosity; microcellular foaming; improved fiber orientation and fiber breakage calculations; and user routines for viscosity, core-shift and more. There will also be an update of research collaborations in the area of injection molding simulation research.

Often, you run several to dozens of results on a given part to optimize the results. Often, the changes in results are minor and subtle. However, these small changes are often the difference between a good design and great design. The maximum and minimum values for a result are usually outliers that don't tell the whole story; instead, value distribution is critical. Volumetric shrinkage is a case in point: The range of shrinkage may be 1% to 10%, but most of the part is between 2.5% and 4%. You can see this trend when you look at the graphical results, but you can't quantify it. But when you export your data using an API script, you can use a tool such as a spreadsheet program to create a histogram. Histograms become exceptionally useful when you compare them between studies. In this class, we’ll explore the use of histograms for looking at many types of Moldflow results.

This class will review new functionality in Simulation Moldflow Insight software and discuss current research directions in the development of Simulation Moldflow software. Capabilities covered will include microcellular foaming, improved fiber orientation and fiber breakage calculations, enhanced wall slip calculations, velocity-controlled valve gates, induction heating, particle traces, user routines, the influence of mold deflection, and meshing enhancements. There will also be an overview of new research collaborations in the area of injection molding simulation research.