Simulation

Simulation is the computational modeling of a physical process or system to predict its behavior or outcome, based on known physical laws and input parameters, without needing to physically carry out the process. In manufacturing, simulation can be applied to machining (predicting cutting forces or tool deflection), thermal behavior, or structural performance, among other applications.

Why a simulation's accuracy depends on its underlying assumptions, not just the computation itself

A simulation's usefulness depends on how accurately its underlying model and input parameters reflect the actual physical situation; a simulation built on incomplete or inaccurate assumptions can produce a confident-looking but wrong prediction.

Where simulation applies

Not on the drawing; simulation is an engineering analysis technique applied around a part's design or process, not something specified by the drawing itself.

Common mistakes

Trusting a simulation's output without validating its underlying assumptions and model against real-world data; a technically sophisticated simulation built on wrong assumptions can still be wrong.

Is simulation the same as a digital twin?

A digital twin is tied to and updated by data from a specific physical system; simulation more broadly refers to any computational modeling of a process, twin or not.

Does simulation replace physical testing?

Not entirely; simulation can reduce how much physical testing is needed, but validating a simulation against real results remains important.

Why can a simulation give a confident but wrong answer?

Because its output is only as good as its underlying model and input assumptions, which may not fully capture the real physical situation.