Pdf of the sum of two independent Uniform R.V., but not identical 
Question. Suppose $X \sim U([1,3])$ and $Y \sim U([1,2] \cup [4,5])$ are two independent random variables (but obviously not identically distributed). Find the pdf of $X + Y$.

So far. I'm familiar with the theoretical mechanics to set up a solution. So, if we let $\lambda$ be the Lebesgue measure and notice that $[1,2]$ and $[4,5]$ disjoint, then the pdfs are
$$f_X(x) = 
\begin{cases}
\frac{1}{2}, &x \in [1,3] \\
0, &\text{otherwise}
\end{cases}
\quad\text{and}\quad
f_Y(y) =
\begin{cases}
\frac{1}{\lambda([1,2] \cup [4,5])} = \frac{1}{1 + 1} = \frac{1}{2}, &y \in [1,2] \cup [4,5] \\
0, &\text{otherwise}
\end{cases}
$$
Now, let $Z = X + Y$. Then, the pdf of $Z$ is the following convolution
$$f_Z(t) = \int_{-\infty}^{\infty}f_X(x)f_Y(t - x)dx = \int_{-\infty}^{\infty}f_X(t -y)f_Y(y)dy.$$
To me, the latter integral seems like the better choice to use. So, we have that $f_X(t -y)f_Y(y)$ is either $0$ or $\frac{1}{4}$. But I'm having some difficulty on choosing my bounds of integration?
 A: Here is a plot as suggested by comments

What I was getting at is it is a bit cumbersome to draw a picture for problems where we have disjoint intervals (see my comment above). It's not bad here, but perhaps we had $X \sim U([1,5])$ and $Y \sim U([1,2] \cup [4,5] \cup [7,8] \cup [10, 11])$.
Using @whuber idea: We notice that the parallelogram from $[4,5]$ is just a translation of the one from $[1,2]$. So, if we let $Y_1 \sim U([1,2])$, then we find that
$$f_{X+Y_1}(z) =
\begin{cases}
\frac{1}{4}z - \frac{1}{2}, &z \in (2,3) \tag{$\dagger$}\\
\frac{1}{2}z - \frac{3}{2}, &z \in (3,4)\\
\frac{5}{4} - \frac{1}{4}z, &z \in (4,5)\\
0, &\text{otherwise}
\end{cases}
$$
Since, $Y_2 \sim U([4,5])$ is a translation of $Y_1$, take each case in $(\dagger)$ and add 3 to any constant term. Then you arrive at ($\star$) below.
Brute force way:

*

*$\mathbf{2 < z < 3}$: $y=1$ to $y = z-1$, which gives $\frac{1}{4}z - \frac{1}{2}$.

*$\mathbf{3 < z < 4}$: $y=1$ to $y = z-1$, such that $2\int_1^{z-1}\frac{1}{4}dy = \frac{1}{2}z - \frac{3}{2}$.

*$\mathbf{4 < z < 5}$: $y=z-3$ to $y=2$, which gives $\frac{5}{4} - \frac{1}{4}z$.

*$\mathbf{5 < z < 6}$: $y=4$ to $y = z-1$, which gives $\frac{1}{4}z - \frac{5}{4}$.

*$\mathbf{6 < z < 7}$: $y = 4$ to $y = z-2$, such that $2\int_4^{z-2}\frac{1}{4}dy = \frac{1}{2}z - 3$.

*$\mathbf{7 < z < 8}$: $y = z-3$ to $y=5$, which gives $2 - \frac{1}{4}z$.

Therefore,
$$f_Z(z) =
\begin{cases}
\frac{1}{4}z - \frac{1}{2}, &z \in (2,3) \tag{$\star$}\\
\frac{1}{2}z - \frac{3}{2}, &z \in (3,4)\\
\frac{5}{4} - \frac{1}{4}z, &z \in (4,5)\\
\frac{1}{4}z - \frac{5}{4}, &z \in (5,6)\\
\frac{1}{2}z - 3, &z \in (6,7)\\
2 - \frac{1}{4}z, &z \in (7,8)\\
0, &\text{otherwise}
\end{cases}$$
