Mechanical engineers rely on simulations to optimize product designs, but traditional methods can take days and cost thousands. CompLabs aims to revolutionize this process with an AI model that operates quickly and economically. The challenge arises from increasingly complex designs, leading to longer computational runtimes and requiring specialized skills and resources. Surrogate models have been a partial solution, but they struggle with accuracy in nonlinear physics. By harnessing AI, CompLabs seeks to advance simulation methods, enabling faster iterations and broader exploration of design possibilities to enhance product effectiveness and reduce costs.
Mechanical engineers face significant delays and costs in simulations, but CompLabs is developing an AI model to drastically reduce these times and expenses.
Optimization in product design relies on testing and refining designs quickly, making effective simulations essential for innovation and competitive advantage.
The increasing complexity of designs has led to longer runtimes for simulations, necessitating a move towards more advanced modeling approaches like AI.
While surrogate models show promise in accelerating simulations, their limitations mean that there’s a need for solutions that can accurately account for nonlinear physics.
Collection
[
|
...
]