4 BENEFITS OF MACHINE SIMULATION AND DIGITAL PROTOTYPING

4 BENEFITS OF MACHINE SIMULATION AND DIGITAL PROTOTYPING

Integrated design and simulation is one of the main features of Intelligent Performance Engineering

Machine design and manufacturing continuously evolve as industrial machinery companies are required to build flexible, customized machines without slowing down the design process.

The latest adaptation in this changing industry is integrated design and simulation, one of the three key elements of Intelligent Performance Engineering (IPE).

A digital twin is built based on integrated design and simulation, where all engineering disciplines capture simulation results and validate them in a centralized repository.

Forward-thinking machine builders have integrated machine simulation and digital prototyping into the design process. This allows them to realize four main benefits when applying this approach.

1. HIGHER DESIGN QUALITY

Supporting customer requirements can be significantly improved by reusing systems and components that have been tested, validated, and proven to work effectively.

Integrating design and simulation in the same environment automates information sharing and enhances cross-disciplinary collaboration.

With a component library built over decades, designers can leverage aggregated engineering knowledge to simulate various hypothetical scenarios during early design phases to improve overall design quality.

2. SHORTER OPERATION TIME

Design and simulation teams can simultaneously perform verification on digital twin models in the cloud.

By using the digital twin to evaluate the final machine behavior in all available configurations, engineers can ensure quick setup and operation.

All usual testing that would occur after delivery is now completed in advance, allowing customers to use the new equipment immediately.

3. ACCURATE MAINTENANCE PREDICTION

Machine simulation and digital prototyping can also be applied after the machine is in operation.

Digital prototype engineers can use machine simulation and digital prototyping to predict machine stability and determine the lifespan of machine components.

Next, IIoT data from machine operation can be fed back into the digital prototype and combined with virtual sensor data.

This information can then be used to accurately predict when maintenance is required based on machine usage.

4. REDUCED DOWNTIME

More accurate machine maintenance prediction helps manufacturers reduce downtime.

By using simulation and digital prototypes to predict maintenance needs precisely, plant managers can schedule preventive and planned maintenance during downtime periods.

This reduces unplanned downtime and the need to find specialized technicians quickly.

Integrated machine design and simulation bring even more benefits.

Performing early simulation in the design process helps detect errors early, save costs, enable faster setup, and improve operational efficiency.

This is just part of what Intelligent Performance Engineering delivers.

Learn how integrated design and simulation connect with Intelligent Performance Engineering here.

Source: Siemens

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