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2D Motion of Projectile in a Fluid with Friction

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    126456

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    A 2D projectile with mass \(m\) is moving in a uniform gravitational field \(\overrightarrow{g}\). The projectile is launched at an initial velocity \({\overrightarrow{v}}_0\) from a reference point \(\left(x_0,y_0\right)\) an angle \({\varphi }_0\). The drag force \({\overrightarrow{f}}_D\) is assumed to be proportional to the speed \(\overrightarrow{v}\) raised to the power \(n\).

    clipboard_ec51bd6ac25619e036d9f941c662868af.png
    Figure 1

    From Newton’s second law and Figure 1, we can write the following vector-equation:

    \[\sum{\overrightarrow{F}}=-mg\ \overrightarrow{j}+{\overrightarrow{f}}_D=m\ \overrightarrow{a} \label{1}\]

    The expression of the projectile’s speed \(\overrightarrow{v}\) is given by:

    \[\begin{aligned} &{\overrightarrow{v}=\overrightarrow{v}_x}+{\overrightarrow{v}_y}=v_x\ \overrightarrow{i}+v_y\ \overrightarrow{j}  \\[4pt]
     &{\overrightarrow{u}}_v=\dfrac{\overrightarrow{v}}{\left\|\overrightarrow{v}\right\|}=\dfrac{\overrightarrow{v}}{v}=\dfrac{v_x\ \overrightarrow{i}+v_y\ \overrightarrow{j}}{\sqrt{v^2_x+v^2_y}}=\left\langle {\mathrm{cos} \varphi \ }\ ,{\sin \varphi \ }\right\rangle ={\overrightarrow{u}_t}  \end{aligned} \label{2}\]

    The expression of the drag force \({\overrightarrow{f}}_D\) is given by:

    \[\overrightarrow{f}_D = -C_Dv^n \overrightarrow{u}_t \label{3}\]

    where \(C_D\) is the coefficient of drag.

    With Equation \ref{2} and Equation \ref{3} into Equation \ref{1}, we get the 2D vector- Equation of the motion in Cartesian coordinates:

    \[-mg\ \overrightarrow{j}-C_Dv^n\ \left(\frac{v_x\ \overrightarrow{i}+v_y\ \overrightarrow{j}}{v}\right)=m\ \left({\overrightarrow{a}}_x\ \overrightarrow{i}+{\overrightarrow{a}}_y\overrightarrow{j}\right) \nonumber\]

    After regrouping the terms, we obtain the following differential Equation system:

    \[\left\{\begin{array}{l}
    \vec{\imath} \rightarrow-D v^{n-1} v_x=\frac{d v_x}{d t} \\
    \vec{\jmath} \rightarrow-g-D v^{n-1} v_y=\frac{d v_y}{d t}
    \end{array}\right. \label{4} \]

    where \(D=\frac{C_D}{m}\) is constant.

    Generally, the system Equation \ref{4} is fully algebraically solvable for \(n=1\), otherwise we have to proceed with numerical iterations or graphic methods to find the solutions.

    1: D=0

    Is the case of the motion in the vacuum and Equation \ref{4} is reduced to:

    \[\left\{\begin{array}{l}
    0=\frac{d v_x}{d t} \\
    -g=\frac{d v_y}{d t}
    \end{array}\right. \label{5}\]

    It is the classic parametric Equation of an inverted parabola, by consecutive integration from \(\left[0,t\right]\) of Equation \ref{5} we get:

    \[\left\{\begin{array} { r l } 
    { v _ { x } } & { = v _ { x _ { 0 } } } \\
    { - g t } & { = v _ { y } - v _ { y _ { 0 } } }
    \end{array} \Rightarrow \left\{\begin{array} { c } 
    { x - x _ { 0 } = v _ { x _ { 0 } } t } \\
    { \int _ { 0 } ^ { t } ( v _ { y _ { 0 } } - g t ) d t = \int _ { y _ { 0 } } ^ { y } \frac { d y } { d t } d t }
    \end{array} \rightarrow \left\{\begin{array}{l}
    x-x_0=v_{x_0} t \\
    y-y_0+t\left(v_{y_0}-\frac{g t}{2}\right)
    \end{array}\right.\right.\right. \label{6}\]

    Eliminating the parameter \(t\) we get:

    \[\left\{\begin{array}{l}
    \frac{x-x_0}{v_{x_0}}=t \\
    y-y_0=v_{y_0} \frac{x-x_0}{v_{x_0}}-\frac{g}{2}\left(\frac{x-x_0}{v_{x_0}}\right)^2
    \end{array}\right. \label{7}\]

    Taking into account Equation \ref{2}, after the due simplifications, Equation \ref{7}.2 becomes:

    \[y\left(x-x_0\right)=y_0+\frac{x-x_0}{\cos \varphi_0}\left(\sin \varphi_0-\frac{g}{2 v_0^2} \frac{x-x_0}{\cos \varphi_0}\right) \label{8}\]

    clipboard_e589c5d7ab0f1898412263fe15bf51485.png
    Figure 2

    2: D≠0

    2.1: n=1

    Is the case of the motion in the dense medium (liquid) and the set Equation \ref{4} becomes:

    \[\left\{\begin{array}{l}
    \vec{\imath} \rightarrow-D v_x=\frac{d v_x}{d t} \\
    \vec{\jmath} \rightarrow-g-D v_y=\frac{d v_y}{d t}
    \end{array}\right. \label{9}\]

    We can express the constant \(D\) in terms of “Terminal Velocity” \(v_T\) and \(g\), from Equation \ref{4}.2 we can write:

    \[-C_D\left(v_y=v_T\right)-mg=0\ \Rightarrow \ D=\frac{g}{v_T} \label{10}\]

    With Equation \ref{10} into Equation \ref{9}, we have the equivalent set of D.E. of the motion:

    \[\left\{\begin{array} { l l } 
    { - D v _ { x } = \frac { d v _ { x } } { d t } }  \\
    { - g - D v _ { y } = \frac { d v _ { y } } { d t } } 
    \end{array} \Leftrightarrow \left\{\begin{array}{l}
    -g \frac{v_x}{v_T}=\frac{d v_x}{d t} \\
    -g\left(1+\frac{v_y}{v_T}\right)=\frac{d v_y}{d t}
    \end{array}\right.\right. \label{11}\]

    2.1.1: The Velocities

    By integration from \(\left[0,t\right]\) of Equation \ref{9} or Equation \ref{11}, we get:

    \[\left\{\begin{array}{l}
    -\frac{g}{v_T} \int_0^t d t=\int_{v_{x_0}}^{v_x} \frac{d v_x}{v_x} \Rightarrow-\frac{g}{v_T} t=\log \frac{v_x}{v_{x_0}} \\
    -g \int_0^t d t=\int_{v_{y_0}}^{v_y} \frac{d v_y}{1+\frac{v_y}{v_T}} \Rightarrow-\frac{g}{v_T} t=\log \left(\frac{v_T+v_y}{v_T+v_{y_0}}\right)
    \end{array}\right. \nonumber\]

    \[\left\{\begin{array}{l}
    v_x(t)=v_{x_0} e^{-\frac{g}{v_T} t}=v_0 \cos \varphi_0 e^{-D t} \\
    v_y(t)=\left(v_T+v_{y_0}\right) e^{-\frac{g}{v_T} t}-v_T=\left(\frac{g}{D}+v_0 \sin \varphi_0\right) e^{-D t}-\frac{g}{D}
    \end{array}\right. \label{12}\]

    Combining Equations \ref{2.2} and \ref{1.2}, we obtain:

    \[v=\sqrt{{\left({v_0\cos {\varphi }_0\ }e^{-D\ t}\ \right)}^2+{\left[\left(\frac{g}{D}+v_0{\sin {\varphi }_0\ }\right){\ e}^{-D\ t}-\frac{g}{D}\right]}^2} \label{13}\]

    clipboard_e1179a04f4fa088b538ecd2b1adb12cc1.png
    Figure 3
    Note
    1. Rewriting Equation \ref{12}.2 as follows: \[v_y\left(t\right)=\left(\frac{g}{D}+v_0{\sin {\varphi }_0\ }\right){\ e}^{-D\ t}-\frac{g}{D}=v_0{\sin {\varphi }_0\ }{\ e}^{-D\ t}-\frac{g}{D}\left(1-{\ e}^{-D\ t}\right)\nonumber\] We find: \[{\lim_{D\to 0} v_y\left(t\right)\ }=v_0{\sin {\varphi }_0\ }-g{\lim_{D\to 0} \left[\frac{1-{\ e}^{-D\ t}}{D}\right]\ } \nonumber\] \[{\text{lim}_{D\to 0} \left[\frac{1-{\ e}^{-D\ t}}{D}\right]\ }={\lim_{D\to 0} \left[\frac{\frac{d}{dD}\left(1-{\ e}^{-D\ t}\right)}{\frac{d}{dD}\left(D\right)}\right]\ }=t\Rightarrow {\lim_{D\to 0} v_y\left(t\right)\ }=v_0{\sin {\varphi }_0\ }-gt \nonumber\] And we get back Equation \ref{6}.2.
    2. From Equation \ref{13} and Figure 3 we can see that the Terminal Velocity \(v_T\) will be never reached: \[v=\sqrt{{\left(v_{x_0}e^{-\frac{g}{v_T}\ t}\ \right)}^2+{\left[\left(v_T+v_{y_0}\right){\ e}^{-\frac{g}{v_T}\ t}-v_T\right]}^2}=v_T \nonumber\] \[\Rightarrow \ \left\{ \begin{array}{c} v_x\left(t\right)=v_{x_0}e^{-\frac{g}{v_T}\ t}=0\ \Rightarrow \ t\to \infty \ \\ v_y\left(t\right)=\left(v_T+v_{y_0}\right){\ e}^{-\frac{g}{v_T}\ t}-v_T=v_T\Rightarrow \ t\to \infty \end{array} \right. \nonumber\]

    2.1.2: The Coordinates (x,y)

    By integration from \(\left[0,t\right]\) of Equation \ref{12}, we get:

    \[\left\{ \begin{array}{c} x\left(t\right)=\int^x_{x_0}{\frac{dx\left(t\right)}{dt}}dt=\int^t_0{v_x\left(t\right)}dt=v_{x_0}\ \int^t_0{e^{-\frac{g}{v_T}\mathrm{\ }t}}dt\ \mathrm{\ }\ \\ y\left(t\right)=\int^y_{y_0}{\frac{dy\left(t\right)}{dt}}dt=\int^t_0{v_y\left(t\right)}dt=\ \int^t_0{\left[\left(v_T+v_{y_0}\right){\ e}^{-\frac{g}{v_T}\mathrm{\ }t}-v_T\right]}dt\ \end{array} \right. \nonumber\]

    \[\left\{\begin{array}{l}
    x(t)=x_0+\frac{v_{x_0} v_T}{g}\left(1-e^{-\frac{g}{v_T} t}\right)=x_0+\frac{v_0 \cos \varphi_0}{D}\left(1-e^{-D t}\right) \\
    y(t)=\left\{\begin{array}{l}
    y_0+v_T\left[\frac{v_{y_0}+v_T}{g}\left(1-e^{-\frac{g}{v_T} t}\right)-t\right] \\
    y_0+\frac{g}{D}\left[\left(\frac{v_0 \sin \varphi_0}{g}+\frac{1}{D}\right)\left(1-e^{-D t}\right)-t\right]
    \end{array}\right.
    \end{array}\right. \label{14}\]

    From Equation \ref{14}.1 we get:

    \[t\left(x-x_0\right)=\frac{v_T}{g} \log \left[\frac{v_{x_0} v_T}{v_{x_0} v_T-g\left(x-x_0\right)}\right]=\frac{1}{D} \log \left[\frac{v_0 \cos \varphi_0}{v_0 \cos \varphi_0-D\left(x-x_0\right)}\right]\label{15}\]

    With Equation \ref{15} into \ref{14}.2, we have the expression of \(y\left(x\right)\):

    \[y\left(x-x_0\right)=\left\{\begin{array}{l}
    y_0+v_T\left\{\frac{\left(v_{x_0}+v_T\right)\left(x-x_0\right)}{v_{x_0} v_T}-\frac{v_T}{g} \log \left[\frac{v_{x_0}}{v_{x_0}-\frac{g}{v_T}\left(x-x_0\right)}\right]\right\} \\
    \left.y_0+\frac{g}{D}\left\{\left(\frac{v_0 \sin \varphi_0}{g}+\frac{1}{D}\right) \frac{D\left(x-x_0\right)}{v_0 \cos \varphi_0}-\frac{1}{D} \log \left[\frac{v_0 \cos \varphi_0}{v_0 \cos \varphi_0-D\left(x-x_0\right)}\right]\right\} \right)
    \end{array}\right. \label{16}\]

    clipboard_e6fe891882e121b854da3027f3f964115.png
    Figure 4
    clipboard_ee24d745017ac4923ec2e8b48e09029c7.png
    Figure 5
    Note
    1. From Equation \ref{14}.1 we have: \[\lim _{D \rightarrow 0} x(t)=x_0+v_0 \cos \varphi_0 \lim _{D \rightarrow 0}\left(\frac{1-e^{-D t}}{D}\right)=x_0+v_0 \cos \varphi_0 t \nonumber\] And we find back Equation \ref{7}.1.
    2. Rewriting Equation \ref{14}.2 as follows: \[y(t)=y_0+v_0 \sin \varphi_0\left(\frac{1-e^{-D t}}{D}\right)+\frac{g}{D}\left(\frac{1-e^{-D t}}{D}\right)-\frac{g}{D} \nonumber\] We find: \[\lim _{D \rightarrow 0} y(t)=y_0+\left\{\begin{array}{c} v_0 \sin \varphi_0 \lim _{D \rightarrow 0}\left(\frac{1-e^{-D t}}{D}\right)=v_0 \sin \varphi_0 t+ \\ g \lim _{D \rightarrow 0}\left(\frac{1-e^{-D t}-D t}{D^2}\right)=g \frac{0}{0} \end{array}\right. \nonumber\] \[{\lim_{D\to 0} \left[\frac{\frac{d}{dD}\left({1-e}^{-D\mathrm{\ }t}-Dt\right)}{\frac{d}{dD}\left(D^2\right)}\right]\ }={\lim_{D\to 0} \left[\frac{t\ \left(e^{-D\mathrm{\ }t}-1\right)}{2D}\right]\ }=\frac{t}{2}{\lim_{D\to 0} \left(\frac{e^{-D\mathrm{\ }t}-1}{D}\right)\ }=-\frac{t^2}{2} \nonumber\] Therefore: \[{\lim_{D\to 0} y\left(t\right)\ }=y_0+{v_0\mathrm{\ sin} {\varphi }_0\ }t-\frac{{gt}^2}{2} \nonumber \] And we get back Equation \ref{7}.2.

    The range \(x_R\) is given by Equation \ref{16}.2 as:

    \[y\left(x_R\right)=y_0+\frac{g}{D}\left\{\left(\frac{v_0 \sin \varphi_0}{g}+\frac{1}{D}\right) \frac{D x_R}{v_0 \cos \varphi_0}-\frac{1}{D} \log \left[\frac{v_0 \cos \varphi_0}{v_0 \cos \varphi_0-D x_R}\right]\right\}=0 \label{17}\]

    Or resolving the system Equation \ref{14} in \(t_R\):

    \[\left\{\begin{array}{l}
    x_R\left(t_f\right)=\frac{v_{x_0} v_T}{g}\left(1-e^{-\frac{g}{v_T} t_f}\right)=\frac{v_0 \cos \varphi_0}{D}\left(1-e^{-D t_f}\right) \\
    0=\left\{\begin{array}{l}
    v_T\left[\frac{v_{y_0}+v_T}{g}\left(1-e^{-\frac{g}{v_T} t_f}\right)-t_f\right] \\
    \frac{g}{D}\left[\left(\frac{v_0 \sin \varphi_0}{g}+\frac{1}{D}\right)\left(1-e^{-D t_f}\right)-t_f\right]
    \end{array}\right.
    \end{array}\right. \label{18}\]

    Equations Equation \ref{17} or Equation \ref{18} can be only solved numerically or graphically.

    2.2: n=2

    Is the case of the motion in the gaseous medium and the set Equation \ref{4} becomes:

    \[\left\{\begin{array}{l}
    \vec{\imath} \rightarrow-D v v_x=\frac{d v_x}{d t} \\
    \vec{\jmath} \rightarrow-g-D v v_y=\frac{d v_y}{d t}
    \end{array}\right. \label{19}\]

    clipboard_ef1663ac6b0a9d26bb3851274c97787a4.png
    Figure 6

    2.2.1: Graph r(φ)

    Solving for \(\overrightarrow{r}\left(\varphi \right)=\left\langle \ x\left(s\left(\varphi \right)\right)\ ,y\left(s\left(\varphi \right)\right)\ \right\rangle\) is not possible to integrate algebraically the set Equation \ref{19}, but it is possible with the combined help of the “intrinsic coordinates” to simplify the Equations. From “Curvilinear Motion” doc we have:

    \[\left\{ \begin{array}{c} {\overrightarrow{u}}_T\to F_t=m\left(\frac{dv}{dt}=\frac{d^2s}{dt^2}\right) \\ {\overrightarrow{u}}_n\to \ F_n=m\left[\frac{v^2}{\rho }=\frac{1}{\rho }{\left(\frac{ds}{dt}\right)}^2\right] \end{array} \right. \tag{46} \label{46}\]

    Note that from Figure 6, \(\frac{d\varphi }{dt}<0\), therefore: \[{\overrightarrow{u}}_T=\left\langle {\mathrm{cos} \varphi \ },{\sin \varphi \ }\right\rangle \Rightarrow {\overrightarrow{u}}_n=\frac{d{\overrightarrow{u}}_T}{d\varphi }=\left\langle -{\sin \varphi \ },{\mathrm{cos} \varphi \ }\right\rangle \nonumber\]

    From Equation \ref{19}.1 combined with the intrinsic coordinates, we get in the \(\overrightarrow{i}\) direction:

    \[-D\ v\mathrm{\ }v_x=\frac{dv_x}{dt}=-D\ \frac{d\mathrm{s}}{dt}v_x=\frac{dv_x}{dt}\Rightarrow -D\int^s_{s_i}{ds}=\int^{v_x}_{v_{x_i}}{\frac{dv_x}{v_x}} \nonumber\]

    \[-D\left(s-s_i\right)=\log \left(\frac{v_x}{v_{x_i}}\right) \Rightarrow v_x=v_{x_i} e^{-D\left(s-s_i\right)}  \label{20}\]

    From Equation \ref{20} and the definition of \(v\), we can write:

    \[v=v_i \frac{\cos \varphi_i}{\cos \varphi} e^{-D\left(s-s_i\right)} \label{21}\]

    From \ref{46}.2 combined with Equation \ref{21}, we get the \(\overrightarrow{n}\) direction:

    \[-g \cos \varphi=\frac{v^2}{\rho}=\frac{d \varphi}{d s}\left(v_i \frac{\cos \varphi_i}{\cos \varphi} e^{-D\left(s-s_i\right)}\right)^2 \nonumber\]

    \[\frac{g}{\left(v_i \cos \varphi_i\right)^2} \int_{s_i}^s e^{2 D\left(s-s_i\right)} d s=\frac{g}{\left(v_i \cos \varphi_i\right)^2} \int_0^{s-s_i} e^{2 D u} d u=-\int_{\varphi_i}^{\varphi} \frac{d \varphi}{(\cos \varphi)^3} \nonumber\]

    Since:

    \[\left\{\begin{aligned}
    \int \frac{d \varphi}{(\cos \varphi)^n} & =\frac{1}{n-1}\left[\frac{\sin \varphi}{(\cos \varphi)^{n-1}}+(n-2) \int \frac{d \varphi}{(\cos \varphi)^{n-2}}\right]+C \\
    \int \frac{d \varphi}{\cos \varphi} & =\log \left(\frac{1+\sin \varphi}{\cos \varphi}\right)+C
    \end{aligned}\right. \nonumber\]

    After integration, in the \(\overrightarrow{n}\) direction we have:

    \[\frac{g\left(e^{2 D\left(s-s_i\right)}-1\right)}{D\left(v_i \cos \varphi_i\right)^2}=\frac{\sin \varphi_i}{\left(\cos \varphi_i\right)^2}-\frac{\sin \varphi}{(\cos \varphi)^2}+\log \left[\frac{\left(1+\sin \varphi_i\right) \cos \varphi}{(1+\sin \varphi) \cos \varphi_i}\right] \nonumber\]

    Resolving in \(s\) the above, we find:

    \[s(\varphi)=s_i+\frac{1}{2 D} \log \left[1+\frac{D\left(v_i \cos \varphi_i\right)^2}{g}\left(\frac{\sin \varphi_i}{\left(\cos \varphi_i\right)^2}-\frac{\sin \varphi}{(\cos \varphi)^2}+\log \left[\frac{\left(1+\sin \varphi_i\right) \cos \varphi}{(1+\sin \varphi) \cos \varphi_i}\right]\right)\right] \label{22}\]

    clipboard_e0e2217be12b3407dbbfbc2576031d10c.png
    Figure 7

    From Figure 7 we can write:

    \[{\overrightarrow{r}}_i=\overrightarrow{r}\left(s_i\right)\Rightarrow {\overrightarrow{r}}_{i+1}=\overrightarrow{r}\left(s_i+\mathrm{\Delta }s_i\right)=\overrightarrow{r}\left(s_i\right)+\frac{d\overrightarrow{r}}{ds}\left(s_i\right)\mathrm{\ }\mathrm{\Delta }s_i \label{23}\]

    with \(\mathrm{\Delta }s_i=s_{i+1}-s_i\).

    From the curvilinear coordinates, the Frenet-Serret formulae define the unit tangent vector \({\overrightarrow{u}}_T\) as:

    \[\frac{d\overrightarrow{r}}{ds}={\overrightarrow{u}}_T=\left\langle {\mathrm{cos} \varphi \ },{\sin \varphi \ }\right\rangle \Rightarrow \frac{d\overrightarrow{r}}{ds}\left(s_i\right)={\left({\overrightarrow{u}}_T\right)}_i=\left\langle {\mathrm{cos} {\varphi }_i\ },{\sin {\varphi }_i\ }\right\rangle \nonumber\]

    Therefore, Equation \ref{23} becomes:

    \[{\overrightarrow{r}}_{i+1}={\overrightarrow{r}}_i+{\left({\overrightarrow{u}}_T\right)}_i\mathrm{\ }\mathrm{\Delta }s_i\Rightarrow \left(\ \genfrac{}{}{0pt}{}{x_{i+1}=x_i+{\mathrm{cos} {\varphi }_i\ }\left(\mathrm{\Delta }s_i=s_{i+1}-s_i\right)}{y_{i+1}=y_i+{\sin {\varphi }_i\ }\left(\mathrm{\Delta }s_i=s_{i+1}-s_i\right)}\ \right) \label{24}\]

    The range \(x_R\) is determined numerically or graphically when:

    \[\displaystyle \left\{ \begin{array}{c} \sum^{i=n}_{i=0}{y_{i+1}}=\sum^{i=n}_{i=0}{y_i+{\sin {\varphi }_i\ }\mathrm{\Delta }s_i}=0\to n \\ x_R=\sum^{i=n}_{i=0}{x_{i+1}}=\sum^{i=n}_{i=0}{x_{i+1}}x_i+{\mathrm{cos} {\varphi }_i\ }\mathrm{\Delta }s_i \end{array} \right. \nonumber\]

    2.2.2: Graph

    Another more analytic approach to generate the graph \(\overrightarrow{r}\left(\varphi \right)=\left\langle x\left(\varphi \right),y\left(\varphi \right)\right\rangle\), is to rewite Equation \ref{19} as follows:

    \[\left\{\begin{array}{l}
    \vec{\imath} \rightarrow-D v^{n-1}=\frac{d}{d t}\left(\log v_x\right) \\
    \vec{\jmath} \rightarrow-\frac{g}{v_y}-D v^{n-1}=\frac{d}{d t}\left(\log v_y\right)
    \end{array}\right. \label{25}\]

    Subtracting Equation \ref{25}.2 to Equation \ref{25}.1, we get:

    \[-\frac{g}{v_y}=\frac{d}{d t}\left(\log v_y\right)-\frac{d}{d t}\left(\log v_x\right)=\frac{d}{d t}\left[\log \left(\frac{v_y}{v_x}\right)\right]=\frac{d}{d \varphi}[\log (\tan \varphi)] \frac{d \varphi}{d t} \nonumber\]

    \[-\frac{g \cos \varphi}{v}=\frac{d \varphi}{d t} \label{26}\]

    Combining \ref{19}.1 and Equation \ref{26}, then we get:

    \[-D v^{n-1} v_x=\frac{d v_x}{d t}=\frac{d v_x}{d \varphi} \frac{d \varphi}{d t}=-\frac{g \cos \varphi}{v} \frac{d v_x}{d \varphi} \nonumber\]

    \[D\left(\frac{v_x}{\cos \varphi}\right)^{n-1} v_x=\frac{g(\cos \varphi)^2}{v_x} \frac{d v_x}{d \varphi} \Rightarrow \int_{v_{x_i}}^{v_x} \frac{d v_x}{v_x^{n+1}}=\frac{D}{g} \int_{\varphi_i}^{\varphi} \frac{d \varphi}{(\cos \varphi)^{n+1}} \nonumber\]

    \[\frac{1}{n}\left(\frac{1}{v_{x_i}^n}-\frac{1}{v_x^n}\right)=\frac{D}{n g}\left(\frac{\sin \varphi}{(\cos \varphi)^n}+(n-1) \int \frac{d \varphi}{(\cos \varphi)^{n-1}}\right)_{\varphi_i}^{\varphi} \nonumber\]

    Resolving the above in \(v_x\), we obtain:

    \[v_x=\left(\left[\frac{1}{v_{x_i}^n}-\frac{D}{g}\left(\frac{\sin \varphi}{(\cos \varphi)^n}+(n-1) \int \frac{d \varphi}{(\cos \varphi)^{n-1}}\right)\right]_{\varphi_i}^{\varphi}\right)^{-\frac{1}{n}} \label{27}\]

    In the other hand, from Equation \ref{26} we have:

    \[d x=v_x d t=-\frac{v_x^2 d \varphi}{g(\cos \varphi)^2} \label{28}\]

    Combining Equation \ref{27} and Equation \ref{28}, we obtain:

    \[d x=-\frac{d \varphi}{g\left\{\left(\left[\frac{1}{v_{x_i}^n}-\frac{D}{g}\left(\frac{\sin \varphi}{(\cos \varphi)^n}+(n-1) \int \frac{d \varphi}{(\cos \varphi)^{n-1}}\right)\right]_{\varphi_i}^{\varphi}\right)^{\frac{1}{n}} \cos \varphi\right\}^2} \nonumber\]

    And after integration we reach:

    \[x(\varphi)=x_i-\frac{1}{g} \int_{\varphi_i}^{\varphi} \frac{d \varphi}{\left\{\left(\left[\frac{1}{v_{x_i}^n}-\frac{D}{g}\left(\frac{\sin \varphi}{(\cos \varphi)^n}+(n-1) \int \frac{d \varphi}{(\cos \varphi)^{n-1}}\right)\right]_{\varphi_i}^{\varphi}\right)^{\frac{1}{n}} \cos \varphi\right\}^2} \label{29}\]

    In the \(\overrightarrow{j}\) direction we can write:

    \[v_y=v_x \tan \varphi \Rightarrow y=y_i+\int v_x \tan \varphi d \varphi \label{30}\]

    With Equation \ref{27} into Equation \ref{30}, we obtain:

    \[y(\varphi)=y_i-\frac{1}{g} \int {\varphi_i}^{\varphi} \dfrac{\tan \varphi d \varphi}{\left\{\left(\left[\frac{1}{v_{x_i}^n}-\frac{D}{g}\left(\frac{\sin \varphi}{(\cos \varphi)^n}+(n-1) \int \frac{d \varphi}{(\cos \varphi)^{n-1}}\right)\right]_{\varphi_i}^{\varphi}\right)^{\frac{1}{n}} \cos \varphi\right\}^2} \label{31}\]

    Therefore, from Equation \ref{29} and Equation \ref{31}, for \(n=2\) we have:

    \[\left\{\begin{array}{l}
    x_{i+1}=x_i+\int_{\varphi_i}^{\varphi_{i+1}} \frac{d \varphi}{\frac{g}{v_{x_i}^2}-D\left(\frac{\sin \varphi_i}{\cos ^2 \varphi_i}-\frac{\sin \varphi_{i+1}}{\cos ^2 \varphi_{i+1}}+\log \left[\frac{\left(1+\sin \varphi_i\right) \cos \varphi_{i+1}}{\left(1+\sin \varphi_{i+1}\right) \cos \varphi_i}\right]\right) \cos ^2 \varphi_{i+1}} \\
    y_{i+1}=y_i+\int_{\varphi_i}^{\varphi_{i+1}} \frac{\tan \varphi d \varphi}{\frac{g}{v_{x_i}^2}-D\left(\frac{\sin \varphi_i}{\cos ^2 \varphi_i}-\frac{\sin \varphi_{i+1}}{\cos ^2 \varphi_{i+1}}+\log \left[\frac{\left(1+\sin \varphi_i\right) \cos \varphi_{i+1}}{\left(1+\sin \varphi_{i+1}\right) \cos \varphi_i}\right]\right) \cos ^2 \varphi_{i+1}}
    \end{array}\right. \label{32}\]

    The set of Equations Equation \ref{32} not only are more laborious than Equation \ref{24}, but less precises since with Equation \ref{24} the graph \(\overrightarrow{r}\left(\varphi \right)=\left\langle x\left(s\left(\varphi \right)\right),y\left(s\left(\varphi \right)\right)\right\rangle\) is generated form values analitically calculated by Equation \ref{22}, meanwhile the graph \(\overrightarrow{r}\left(\varphi \right)=\left\langle \ x\left(\varphi \right),\ y\left(\varphi \right)\ \right\rangle\) is generated form values numerically calculated by Equation \ref{32}.

    Moreover, as we can see from Figure 8, the integrand functions of Equation \ref{32} have a singularity whenever:

    \[\Phi_i(\varphi)=\frac{g}{D\left(v_i \cos \varphi_i\right)^2}+\frac{\sin \varphi_i}{\cos ^2 \varphi_i}+\log \left(\frac{1+\sin \varphi_i}{\cos \varphi_i}\right)-\left(\frac{\sin \varphi}{\cos ^2 \varphi}+\log \left(\frac{1+\sin \varphi}{\cos \varphi}\right)\right)=0 \nonumber\]

    Therefore, the numerical integration of the integrand function of Equation \ref{32} in proximity of the singularity, becomes erratic.

    clipboard_ecfacaf81dbf6161969f4e451035611c1.png
    Figure 8

    Figure 9 shows the comparison of the results between Equation \ref{24} and Equation \ref{32}, Integrated with the Simpson’s 1/3 rule.

    clipboard_eb5fb0a9856e5e58c7ca439ca641bd06d.png
    Figure 9

    2.2.3 Graph

    \(\overrightarrow{r}\left(t\right)=\left\langle \ x\left(t\right)\ ,\ y\left(t\right)\ \right\rangle\).

    Let us expand the expression of the vector position \({\overrightarrow{r}}_{i+1}\left(t\right)\) with a Taylor series till the second order:

    \[\vec{r}_{i+1}=\vec{r}_i\left(t_{i+1}\right)=\vec{r}_i\left(t_i+\Delta t\right)=\vec{r}_i+\frac{d \vec{r}_i}{d t} \Delta t+\frac{d^2 \vec{r}_i}{d t^2} \frac{\Delta t^2}{2}=\vec{r}_i+\vec{v}_i \Delta t+\frac{d \vec{v}_i}{d t} \frac{\Delta t^2}{2} \label{33.1}\]

    In other terms

    \[\left\langle x_{i+1}, y_{i+1}\right\rangle=\left\langle x_i, y_i\right\rangle+v_i\left\langle\cos \varphi_i, \sin \varphi_i\right\rangle \Delta t+\left\langle\frac{d \vec{v}_{x, i}}{d t}, \frac{d \vec{v}_{y, i}}{d t}\right\rangle \frac{\Delta t^2}{2} \label{33.2}\]

    From the set Equation \ref{4} we get:

    \[\left\{\begin{array}{l}
    -D \frac{v_i^2}{d t} \cos \varphi_i=\frac{d v_{x, i}}{d t} \\
    -g-\frac{v_i^2}{d t} \sin \varphi_i=\frac{d v_{y, i}}{d t}
    \end{array}\right. \label{34}\]

    Combining \ref{33.2} and Equation \ref{34}, we obtain:

    \[\left\{\begin{array}{l}
    x_{i+1}=x_i+v_i \cos \varphi_i \Delta t-\frac{D \cos \varphi_i\left(v_i \Delta t\right)^2}{2} \\
    y_{i+1}=y_i+v_i \sin \varphi_i \Delta t-\left(D v_i^2 \sin \varphi_i+g\right) \frac{\Delta t^2}{2}
    \end{array}\right. \label{35}\]

    Equation \ref{26} under a discrete form gives the angles \({\varphi }_{i+1}\):

    \[-\frac{g \cos \varphi}{v}=\frac{d \varphi}{d t} \rightarrow \frac{\Delta \varphi}{\Delta t}=\frac{\varphi_{i+1}-\varphi_i}{\Delta t}=-\frac{g \cos \varphi_i}{v_i} \nonumber\]

    \[\varphi_{i+1}=\varphi_i-\frac{g \cos \varphi_i \Delta t}{v_i} \label{36}\]

    Equation \ref{20} under a discrete form gives the velocity \(v_{i+1}\):

    \[v_x=v_{x_i} e^{-D\left(s-s_i\right)} \rightarrow v_{i+1}=\frac{v_i \cos \varphi_i}{\cos \varphi_{i+1}} e^{-D\left(\Delta s_i=\sqrt{\left(\Delta x_i\right)^2+\left(\Delta y_i\right)^2}\right)} \nonumber\]

    \[v_{i+1}=\frac{v_i \cos \varphi_i}{\cos \varphi_{i+1}} e^{-D\left(\sqrt{\left(x_{i+1}-x_i\right)^2+\left(y_{i+1}-y_i\right)^2}\right)} \label{37}\]

    The time \(t_n\) is therefore: \[t_n=\sum^n_{i=1}{i}\mathrm{\Delta }t\mathrm{\ Equation \label{38}}\]

    With Equations \ref{35}, \ref{36}, \ref{37}, and \ref{38}, starting from the initial conditions at \(i=0\), we calculate step by step all the data of interest.

    The graph \(\overrightarrow{r}\left(t\right)=\left\langle \ x\left(t\right)\ ,\ y\left(t\right)\ \right\rangle\) is identical to \(\overrightarrow{r}\left(t\right)=\left\langle \ x\left(\varphi \right)\ ,\ y\left(\varphi \right)\ \right\rangle\) for the same initial conditions:

    clipboard_e2b844698c1bc75a5a30d9074de5992d3.png
    Figure 10.1
    clipboard_e8db0c788ad7f99f03c7a5d7dbbe4adc1.png
    Figure 10.2

    2.3: \(\boldsymbol{n} \in \mathbb{R}^{+}\)

    Is the general case where experimental data suggest that \(n\) is not necessarily a natural number and can be any real positive number.

    Equation \ref{33.2} states:

    \[\left\langle x_{i+1}, y_{i+1}\right\rangle=\left\langle x_i, y_i\right\rangle+v_i\left\langle\cos \varphi_i, \sin \varphi_i\right\rangle \Delta t+\left\langle\frac{d \vec{v}_{x, i}}{d t}, \frac{d \vec{v}_{y, i}}{d t}\right\rangle \frac{\Delta t^2}{2} \nonumber\]

    And the set of D.E. in Equation \ref{4} gives:

    \[\left\{\begin{array}{l}
    \vec{\imath} \rightarrow-D v^{n-1} v_x=\frac{d v_x}{d t} \\
    \vec{\jmath} \rightarrow-g-D v^{n-1} v_y=\frac{d v_y}{d t}
    \end{array}\right. \nonumber\]

    Combining Equations \ref{33.2} and \ref{4}, we obtain:

    \[\left\{\begin{array}{l}
    x_{i+1}=x_i+v_{x, i} \Delta t-D v_i^{n-1} v_{x, i} \frac{\Delta t^2}{2} \\
    y_{i+1}=y_i+v_{y, i} \Delta t-\left(D v_i^{n-1} v_{y, i}+g\right) \frac{\Delta t^2}{2}
    \end{array}\right. \label{39}\]

    We have to find an expression for \({\overrightarrow{v}}_{i+1}\). Let us expand the vector velocity \({\overrightarrow{v}}_{i+1}\left(t\right)\) with a Taylor series till the second order:

    \[{\overrightarrow{v}}_{i+1}={\overrightarrow{v}}_i\left(t_i+\mathrm{\Delta }t\right)={\overrightarrow{v}}_i+\frac{d{\overrightarrow{v}}_i}{dt}\mathrm{\Delta }t+\left[\frac{d^2{\overrightarrow{v}}_i}{dt^2}=\frac{d}{dt}\left(\frac{d{\overrightarrow{v}}_i}{dt}\right)\right]\frac{{\mathrm{\Delta }t}^2}{2} \label{40}\]

    In other terms:

    \[\left\{\begin{array}{l}
    v_{x, i+1}=v_{x, i}+\frac{d v_{x, i}}{d t} \Delta t+\frac{d}{d t}\left(\frac{d v_{x, i}}{d t}\right) \frac{\Delta t^2}{2} \\
    v_{y, i+1}=v_{x, i}+\frac{d v_{y, i}}{d t} \Delta t+\frac{d}{d t}\left(\frac{d v_{y, i}}{d t}\right) \frac{\Delta t^2}{2}
    \end{array}\right. \label{41}\]

    Let us calculate \(\frac{d}{dt}\left(\frac{dv_{x,i}}{dt}\right)\). From \ref{4}.1 we can write:

    \[\frac{d}{d t}\left(\frac{d v_{x, i}}{d t}\right)=-D \frac{d}{d t}\left(v_i^{n-1} v_{x, i}\right)=-D \frac{d}{d t}\left(\frac{v_{x, i}^n}{\cos ^{n-1} \varphi_i}\right) \nonumber\]

    \[\frac{d^2 v_{x, i}}{d t^2}=-D\left(\frac{v_{x, i}^{n-1}}{\cos ^n \varphi_i}\right)\left((n-1) v_{x, i} \sin \varphi_i \frac{d \varphi_i}{d t}+n \cos \varphi_i \frac{d v_{x, i}}{d t}\right) \label{42}\]

    With \ref{4}.1 and Equation \ref{26} into Equation \ref{42}, we get:

    \[\frac{d^2 v_{x, i}}{d t^2}=-D\left(\frac{v_{x, i}^{n-1}}{\cos ^n \varphi_i}\right)\left(-(n-1) v_{x, i} \sin \varphi_i \frac{g \cos ^2 \varphi_i}{v_{x, i}}+n \cos \varphi_i\left[-D\left(\frac{v_{x, i}^{n-1}}{\cos ^n \varphi_i}\right)\right]\right) \nonumber\]

    After the due simplifications, we obtain:

    \[\frac{d^2 v_{x, i}}{d t^2}=-D v_i^{n-1}\left((n-1) g \sin \varphi_i \sin \varphi_i+n D v_i^{n-1}\right) \label{43}\]

    Let us calculate now \(\frac{d}{dt}\left(\frac{dv_{y,i}}{dt}\right)\). From Equation \ref{4}.2 we can write:

    \[\frac{d}{d t}\left(\frac{d v_{x, i}}{d t}\right)=-\frac{d}{d t}\left(g+D v_i^{n-1} v_{y, i}\right)=-D \frac{d}{d t}\left(\frac{v_{y, i}^n}{\sin ^{n-1} \varphi_i}\right) \nonumber\]

    \[\frac{d^2 v_{y, i}}{d t^2}=-D v_i^{n-1}\left((1-n) \frac{v_{y, i}}{\tan \varphi_i} \frac{d \varphi_i}{d t}+n \frac{d v_{x, i}}{d t}\right) \label{44}\]

    With Equation \ref{4}.2 and Equation \ref{26} into Equation \ref{44}, we get:

    \[\frac{d^2 v_{y, i}}{d t^2}=D v_i^{n-1}\left[-(1-n) \frac{v_{y, i}}{\tan \varphi_i} \frac{g \cos ^2 \varphi_i}{v_{x, i}}-n\left(g+D v_i^{n-1} v_{y, i}\right)\right] \nonumber\]

    After the due simplifications, we obtain:

    \[\frac{d^2 v_{y, i}}{d t^2}=D v_i^{n-1}\left[(1-n) g \cos ^2 \varphi_i+n\left(g+D v_i^{n-1} v_{y, i}\right)\right] \label{45}\]

    With Equation \ref{43} and Equation \ref{45} into Equation \ref{41}, we get the set of Equations for the velocities:

    \[\left\{\begin{array}{l}
    v_{x, i+1}=v_{x, i}+D v_i^{n-2}\left\{v_i\left[(n-1) g \sin \left(2 \varphi_i\right) \Delta t-4 v_{x, i}\right]+2 n D v_i^n v_{x, i}\right\} \frac{\Delta t}{4} \\
    v_{y, i+1}=v_{y, i}-g \Delta t+D v_i^{n-2}\left\{v_i\left(g\left[n+(1-n) \cos ^2 \varphi_i\right] \Delta t-2 v_{y, i}\right)+n D v_i^n v_{y, i} \Delta t\right\} \frac{\Delta t}{2} \\
    v_i=\sqrt{v_{x, i}^2+v_{y, i}^2}
    \end{array}\right. \]

    Equation \ref{26} under a discrete form gives the angles \({\varphi }_{i+1}\):

    \[-\frac{g \cos \varphi}{v}=\frac{d \varphi}{d t} \rightarrow \frac{\Delta \varphi}{\Delta t}=\frac{\varphi_{i+1}-\varphi_i}{\Delta t}=-\frac{g \cos \varphi_i}{v_i} \nonumber\]

    \[\varphi_{i+1}=\varphi_i-\frac{g \cos \varphi_i \Delta t}{v_i} \nonumber\]

    The time \(t_n\) is therefore:

    \[t_n=\sum_{i=1}^n i \Delta t \nonumber\]

    With Equations \ref{33.2}, \ref{36}, \ref{38}, and \ref{46}, starting from the initial conditions at \(i=0\), we calculate step by step all the data of interest.

    Figure 11 shows the comparative graph of the family of trajectories for different values of \(n\).

    clipboard_e73b7c3dd5c5798318b07bd2f99a675f8.png
    Figure 11

    Figure 12 shows the graph of the distribution of the velocities for \(n=1.6\).

    clipboard_ebffe7b6003fbf2cbbc954e125573c9ef.png
    Figure 12
    Note

    In the graphs of the distribution of the velocities, the term \(v_t\) is the “terminal velocity” calculated from 4.1) when \(\varphi \to -\frac{\pi }{2}\), i.e. the free fall:

    \[\left\{\begin{array}{l}
    \vec{\imath} \rightarrow-D v^{n-1}\left(v_x=0\right)=0 \\
    \vec{\jmath} \rightarrow-g-D v_t^{n-1}\left(v_y=\frac{v_t}{\sin \left(-\frac{\pi}{2}\right)}\right)=-g+D v_t^n=0
    \end{array} \Rightarrow v_t=\left(\frac{g}{D}\right)^{\frac{1}{n}}\right. \nonumber\]

     Figure 13 shows the comparative graph of the trajectories calculated with above different Equations.

    clipboard_e0f1baaa85759b9b5af4574c23490eb88.png
    Figure 13

    This page titled 2D Motion of Projectile in a Fluid with Friction is shared under a Public Domain license and was authored, remixed, and/or curated by .

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