说明
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.
主要学习内容
- Gain all the required knowledge to build usable API scripts using Simulation Moldflow Synergy
- Discover the concepts, conventions, and principles behind the API
- Discover how to do common tasks with the API
- Discover how the API can be used to export data
讲师
David AstburyDavid Astbury has over 30 years’ experience in the fields of rheology, injection molding, software development, and quality assurance. He is the principle author of many optimization technologies within the Autodesk Moldflow software suite, including automatic injection time, molding window, design of experiments, runner sizing and balancing, gate location optimization, and process optimization. Recognising that to fully maximise part quality and to optimise cycle time for an injection mold you cannot look at only the filling and packing phases; you need to also look at the cooling phase as well optimal cooling line placement is critical is a key component of this. David and a team of engineers are currently developing software to automaticaly place and optimise cooling channels within the mold David is an expert programmer and Autodesk Moldflow API expert, and has produced many API scripts and examples to assist customers with integrating to external structural and optimization systems, producing custom results and reports, automating common tasks and extending the capabilities of the system. David has recently worked with the Fusion Generative team to enhance the capabilites and performance of the generative structural software and laying down the foundations for a generative fluids simulation.