There are several engineering software environments that cover a broad range of products, derivatives, duty cycles, and multi-stage/multi-discipline simulations. Some manufacturers have a regulatory environment or liability issues that require them to use and document all the simulation activities they have performed, or the ones they need to optimize, which can mean that every simulation …
Should I Invest in Simulation Process Data Management (SPDM)? Today, simulation process and data management systems (SPDM) are being used by many manufacturing companies. SPDM significantly contributes to their efforts to maintain competitive advantage in the market. With SPDM, companies are able to increase productivity, improve their quality with fewer errors and gain a …
Trelleborg is a global automotive supplier that offers sealing, damping, and protection solutions to the automotive industry. To reach their goal of complying with CO2 regulation, Trelleborg uses material modeling and simulation software. Challenge To comply with CO2 regulations (2015: 130g 2020: 95g) To reduce the average weight of a car by 200 kg …
How to Use Simulation Process and Data Management (SPDM) with Your System Dynamics Workflow Over the past 15 years simulation process and data management (SPDM) systems have become more advanced alongside the increasing need for complex testing and simulations. SPDM now gives companies the ability to have more effective processes, more certain data outputs …
With CAE driving the design process at Ashok Leyland, the types of simulations performed as part of the vehicle development process is growing rapidly. Multiple simulation tools are required to address each of the different domains involved in vehicle development. Each tool requires a fairly complex process in which the user develops a model, inputs various engineering data, performs an analysis, reviews the results and authors a report to support design decisions. Ashok Leyland previously automated some of these steps for a few simulation tools using macros and scripts, but these point solutions were difficult to ensure the usage and maintain. The previous process relied upon the skills of the individual analysts writing the scripts. These automations were not always shared, versioned or used consistently among engineering groups, resulting in inconsistent results from one analyst to another and lacked traceability. The lack of a common simulation structure meant that it was difficult to locate the results and understand the reasons for previous decisions, so work often had to be duplicated.
As simulation becomes more embedded in the overall product development process, it becomes important to establish a consistent model build process. An organization can be confident in using simulation results throughout the development lifecycle only if a mature and consistent process is implemented to create the simulation models. The objective of a consistent model build …
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