Latin Characters
\(C\) = flow coefficient.
\(C_{\text{LLS}}\) = predicted flow coefficient based on LLS method.
\(\overset{\overline{}}{C_{\text{Rev}}}\) = revised mean flow
coefficient after machine learning algorithm was implemented.
\(c\) = ultrasound speed in water (m/s).
\(D\) = pipe internal diameter (m).
\(k_{c}\) = velocity correction factor.
\(L\) = the path travelled by ultrasound (m).
\(m_{p}\) = total mass of suspended particles (kg)
\(u\) = flow velocity (m/s).
\(u_{f}\) = fluid velocity (m/s).
\(V_{s}\) = volume of solids (m3).
\(V_{m1}\) = volume of initial mud or fresh water
(m3).
\(V_{m2}\) = volume of final mixture (m3).
\(\overset{\overline{}}{v}\) = mean flow velocity (m/s)
\(v_{T\text{est}}\) = flow velocities from test data set.
Re = Reynolds number.
\(t_{21}\),\(\ t_{12}\) = The transit time of the ultrasonic signal from
downstream transducer to the upstream transducer and that is in opposite
direction (s).
\(w_{b}\) = weight of bentonite particles (kg).
\(w_{w}\) = weight of water (kg).