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Predicting mining equipment systems performance

Anab Akanda, principal mechatronics software engineer at Joy Global, explains how his company has implemented model-based systems engineering tools and methodologies using Simcenter Amesim from the Simcenter portfolio to predict the overall performance of their mining equipment, reach time-to-market and minimize development risks.

Julie ErcolaniPeck
This article first appeared on the Siemens Digital Industries Software blog at https://blogs.stage.sw.siemens.com/simcenter/predicting-mining-equipment-systems-performance/