Category - Engineering Lifecycle Management


Taming the Most Detailed Product Data Imaginable

Original article published on Some things are a given today. One is computing is cheap and powerful, and it is getting cheaper and more powerful. Another is the dropping price of industrial sensors. Combine this with easier ways of moving around data from those sensors and you get lots of data: Terabytes of data. …


Additive Manufacturing Modeling, Simulation, and Lifecycle Management

The expansion of additive manufacturing has created a need for simulation and data management tools that will help engineers optimize the 3D printing process in order to reduce production costs, increase robustness/reliability and improve performance by optimizing design. This blog post will explore how MSC’s simulation tools are currently being used by customers to advance 3D printing.


Materials Lifecycle Management for Product Innovation

Manufacturing has become much more complex than it was in the past. New designs are created every day, data flows during engineering processes are becoming huge and the number of engineers working together is growing. These improvements bring some challenges in tracing the data and managing the processes and workflows. A materials lifecycle management (MLM) system is a tool that focuses on capturing and managing data all the way from test data to the consumption of this data by CAE applications. It gives the ability to automate test processes, have complete traceability of all the data in the system, and it gives a very deep client integration. It ensures that engineers are using a consistent source of approved materials derived from traceable integrated processes. Furthermore, it is web-based and very easy to install. MLM eliminates a significant amount of tedious manual data management activities and gives engineers the ability to focus solely on innovations and new product designs.


Managing Test Data with Engineering Lifecycle Management

Today, one of the challenges that manufacturers face is to capture the data and evaluate it during the test process. They want to keep record of the information of pre-test actual test and post-test processes easily and systematically and create complex relation information between these data. To meet this needs, engineering lifecycle management (ELM) tool …


Left of Test: How Manufacturing Variability Affects Material Properties

For manufacturers, materials property data plays a significant role in strengthening product design, manufacturing process, after market performance and profitability. This is mainly because knowing property data gives manufacturers the ability to determine engineering property matrix. Uncontrollable and unscalable variation of material property can result in lack of prediction, thus governance on the material behavior …


HPC – The Genesis of SDM

The first commercial SDM platform was deployed into production on BMW’s HPC on 19 December 2000 (ref 1). Virtual Insight, the platform for BMW’s CAE Bench solution, had been deployed by a visionary team at Silicon Graphics, the HPC provider. The Munich-based SGI Professional Services team had decided to develop a technology framework to enable the development of domain solutions for HPC users. Virtual Insight was designed to enable the automation of dataset management; to assemble sets of data, transfer the data to the HPC and then collect and collate the results. The idea was to reduce the data management overhead on simulation experts whilst providing traceability of results, thus enabling analysts to submit more jobs on HPCs.

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