Implicit vs Explicit Solvers: Choosing the Right Tool for Your Simulations
In the world of engineering and design, the power of simulation cannot be overstated. Imagine being able to predict exactly how your design will perform before investing time and resources into a prototype. That’s where the magic of simulation comes in. Simulation technology allows engineers to foresee design behavior without creating physical prototypes, revolutionizing the industry. However, the benefits of simulation are only fully realized when paired with the right tools and knowledge.
Understanding Solvers
In the realm of simulations, solvers are critical as they translate your designs into real-world predictions. A solver is essentially a numerical tool that utilizes physics and material properties to predict design behavior under various conditions. Think of solvers as the engines of your simulation – much like how a tractor engine and a race car engine serve different purposes despite their power. Similarly, implicit and explicit solvers have unique strengths depending on the situation.
Explicit Solvers: Tackling High-Speed Dynamics
Explicit solvers shine in scenarios featuring high-speed dynamic events and complex contact problems. These include situations where forces and materials change rapidly, such as crash simulations where millisecond accuracy is crucial. Using the Explicit Solver in Simulia Structural, for instance, allows for breaking every detail into tiny steps, accurately capturing material deformation and reactions. Likewise, drop test simulations benefit from the explicit solver’s ability to model impacts and material behavior swiftly and reliably.
Complex processes, like thermal or sheet metal forming, also rely on explicit solvers. These scenarios often involve parts moving or interacting in evolving ways, making the explicit solver ideal for capturing intricate interactions. Sometimes, opting for an explicit solver can streamline processes, even if not necessary. For example, when simulating a rubber boot deforming and undergoing self-contact, an explicit solver can cut solve time significantly, making it a more efficient choice.
Implicit Solvers: Mastering Prolonged Simulations
For simulations extending over longer timeframes or those not involving complex contact conditions, implicit solvers generally offer better efficiency. Implicit solvers are effective for both straightforward and intricate problems, providing reliable solutions for numerous engineering tasks. They are widely used in designing products like snap-fit performance analysis, compression performance evaluation in foam, syringe design, and three-point bend tests.
When simulations are not highly dynamic or do not entail complex contact interactions, choosing an implicit solver is often the best option. Using the right solver streamlines your workflow, making the difference between continuously adjusting results or achieving accuracy from the start.
Conclusion
Choosing the right solver for your simulation goes beyond mere efficiency; it’s about paving the way for accuracy and reliability in your engineering processes. Whether it’s the Explicit Solver’s detailed accuracy for high-speed events or the Implicit Solver’s efficiency for everyday tasks, leveraging the right tool can be key to maintaining a competitive edge.
Are you ready to unlock the potential of simulations in your design process? Let’s choose the right tools and help you build the skills to save time, cost, and stress on your next project.
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About the author
Jon Duffin is a SOLIDWORKS Technical Support Expert based in the Atlanta area. Prior to his career at MLC CAD Systems, he worked in the defense industry improving the manufacturing processes for Solid Fuel Rocket Motors. He immensely enjoys helping others improve their SOLIDWORKS productivity because it combines his love of engineering with the desire to help other people.
