Arena Simulation is a product of Rockwell Automation
Arena is a discrete event simulation and automation software: it enables manufacturing organizations to increase throughput, identify process bottlenecks, improve logistics and evaluate potential process changes.
Evaluate potential alternatives to determine the best approach to optimizing performance.
Understand system performance based on key metrics such as costs, throughput, cycle times, equipment utilization and resource availability.
Reduce risk through rigorous simulation and testing of process changes before committing significant capital or resource expenditures.
Determine the impact of uncertainty and variability on system performance.
Visualize results with 2D and 3D animation
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CASE STUDY
In this article, we show that the main turbine characteristics, such as efficiency and exit flow angle, can be sufficiently improved using parametric optimization.
modefrontier energy optimization
CASE STUDY
The text discusses the importance of digital simulation models in modern factory design and reconfiguration, particularly in response to shorter product lifecycles and increased customization demands. Traditional design methods often lead to inefficiencies and high costs, making digital simulation essential for creating flexible and adaptable production systems. The article highlights a case study involving a furniture assembly factory, where a manufacturer needed to efficiently handle a variety of custom kitchen cabinet orders. The system integrator was tasked with designing a robotic assembly line that could maintain production efficiency despite the high variety of products.
industry4 SIMUL8
CASE STUDY
At this particular moment in time, this article wishes to reflect on the evolution of CAE and simulation in an effort to present a big-picture view when most of us are daily dealing with all the devil in the details in every aspect of our lives. We approached some long-standing business friends in engineering simulation from various regions around the world to help us in this task
ansys industry4 news
CASE STUDY
A collaborative project between Nissan Technical Centre Europe, RBF Morph, and the University of Rome “Tor Vergata” showcases how multi-physics optimization is revolutionizing automotive wheel design, particularly for electric vehicles (EVs). By integrating styling, structural analysis, and aerodynamics within a unified workflow enabled by advanced mesh morphing technology (rbfCAE), designers can optimize wheels for lightweight, strength, and aerodynamic efficiency without compromising aesthetics.
automotive optimization
CASE STUDY
This paper presents the RENAULT F1 Team’s AM process for an aerodynamic insert in titanium Ti6Al4V. Production was optimized by identifying the best orientation for the parts and the best positioning for the support structures in the melting chamber, in addition to using the ANSYS Additive Print module, a simulation software useful for predicting the distortion of a part and for developing a new, 3D, compensated model that guarantees the best “as-built” quality.
automotive additive-manufacturing optimization