PCB Card Remanufacturing Simulation

The accuracy of circuit simulation from pcb card remanufacturing is depends not only on the component model, but also depends on the prescribed model parameter value and their accuracy. As a result of that, an concrete and exact physical meaning of various kinds of parameters must be given in expected component model from pcb card remanufacturing, and there is a direct connection with the component technical design parameters, or use some kind of test measure to evaluate it.

Currently there are two way to constitute the component model, first is starting from the electrical features of the component when pcb card remanufacturing, and view the component as a black box, and test the electrical features of its terminal, extract the model simulation without refers to the working principle of the components from pcb card remanufacturing, which can be viewed as action model. And this kind of model can represent the IBIS model and S parameter. And it is advantage is model building with an easy way to use, save resource and more extensive scope, especially for high frequency, un-linear and high power, behavior model will almost be the only choice for it when pcb card remanufacturing.

However, it is drawback is quite obvious in the process of pcb card remanufacturing, 1st of all is the consistency can’t be secured, which can easily be affected by its testing skill and preciseness. From the other side, use component working principle as a basis, from the mathematic formula of component can obtain the component model and model parameter with its physical working principle has very close relationship from pcb card remanufacturing. SPICE model is the most commonly used version. Its advantage is quite obvious, that is the preciseness. Especially accompany with the development of model building method and semiconductor technology’s advancement and standardization, people can provide this model after PCB remanufacturing from multiple levels to satisfy the different preciseness requirement. And its flaw is the complexity of the model as well as relatively long calculation time length.