In this question density of sum of two uniform random variables $[0,1]$ two different methods (convolution and cdf) are explained in order to do the sum of two independent random variables. In both cases the key seems to be in the geometric properties. For the case of $Z = X + Y$ and with $X$ and $Y$ uniform distributions it is relatively easy to solve the problem.
But I was wondering how one could proceed when one has to sum for instance 3 or 4 random variables and you just can't draw the hypersurface to know the limits of integration. That seems a very intimidating problem to me. Does anyone know a general method to proceed in such cases?