V, t, b, L = symbols("V, t, b, L")
L_array = [5, 10, 15, 20, 25]
b_val = 0.0032
expr = b * V * 0.277 * t - b * L - log(1 + b * V * 0.277 * t)
series = []
for L_val in L_array:
    series += implicit_2d(
        expr.subs({b: b_val, L: L_val}), (t, 0, 3), (V, 0, 1000),
        label="L = %s" % L_val)
graphics(*series)
# Expected:
## Plot object containing:
## [0]: Implicit expression: Eq(0.0008864*V*t - log(0.0008864*V*t + 1) - 0.016, 0) for t over (0.0, 3.0) and V over (0.0, 1000.0)
## [1]: Implicit expression: Eq(0.0008864*V*t - log(0.0008864*V*t + 1) - 0.032, 0) for t over (0.0, 3.0) and V over (0.0, 1000.0)
## [2]: Implicit expression: Eq(0.0008864*V*t - log(0.0008864*V*t + 1) - 0.048, 0) for t over (0.0, 3.0) and V over (0.0, 1000.0)
## [3]: Implicit expression: Eq(0.0008864*V*t - log(0.0008864*V*t + 1) - 0.064, 0) for t over (0.0, 3.0) and V over (0.0, 1000.0)
## [4]: Implicit expression: Eq(0.0008864*V*t - log(0.0008864*V*t + 1) - 0.08, 0) for t over (0.0, 3.0) and V over (0.0, 1000.0)