3D Modeling of Involute Helical Gears Based on SolidWorks

This paper presents a comprehensive parametric design method for 3D modeling of involute helical gears using SolidWorks. By leveraging global variables and equation-driven curves, we establish precise mathematical relationships for gear geometry while ensuring manufacturing accuracy. The method eliminates dependencies on external plugins or secondary development tools, offering a streamlined workflow for mechanical design automation.

1. Fundamental Parameters and Equations

The parametric design requires 19 global variables to fully define helical gear geometry. Key parameters include:

Variable Expression Description
z 7 Number of teeth
α 20° Normal pressure angle
β 32.5° Helix angle
xn 0.5 Normal profile shift coefficient
ηb $$\frac{\pi/2 – 2x_n\tan\alpha}{z} – \frac{\tan\alpha}{\cos\beta} + \arctan\left(\frac{\tan\alpha}{\cos\beta}\right)$$ Base circle groove half-angle
rb $$\frac{zm}{2\sqrt{\tan^2\alpha + \cos^2\beta}}$$ Base circle radius
pz $$\frac{\pi zm}{\sin\beta}$$ Lead of helix

The lead equation derives from the helical gear’s kinematic relationship:

$$p_z = \frac{\pi d}{\tan\beta} = \frac{\pi zm}{\sin\beta}$$

where d represents the reference diameter. For helical gears, the transverse pressure angle αt is calculated as:

$$\alpha_t = \arctan\left(\frac{\tan\alpha}{\cos\beta}\right)$$

2. Modeling Methodology

2.1 Tooth Profile Generation

The involute curve for helical gears follows parametric equations in the transverse plane:

$$x = r_b\cos(\tan\theta – \theta + \theta_0)$$
$$y = r_b\sin(\tan\theta – \theta + \theta_0)$$

where θ represents the pressure angle parameter, and θ0 defines the angular position. For left and right flanks:

Flank Equation
Left $$\theta_0 = \phi + \eta_b$$
Right $$\theta_0 = \phi – \eta_b$$

where φ is the angular position of tooth space center.

2.2 Root Fillet Optimization

The transition curve between gear teeth follows complex parametric equations considering tool geometry:

$$X(t) = \frac{d}{2}\cos\Phi + \frac{\rho_n\sin t + e}{\sin u}\sin(\Phi – u)$$
$$Y(t) = \frac{d}{2}\sin\Phi – \frac{\rho_n\sin t + e}{\sin u}\cos(\Phi – u)$$

where ρn denotes cutter tip radius and u represents the pressure angle in transverse plane.

3. SolidWorks Implementation

The modeling workflow consists of four key steps:

Step Operation Parameters
1 Create global variables 19 parameters from Table 1
2 Generate base cylinder $$d_a = d + 2m(h_a^* + x)$$
3 Develop helical path 3D spiral with lead pz
4 Sweep cutting profile Involute + root fillet curves

3.1 Equation-Driven Curves

The helical path uses parametric equations:

$$x(t) = \frac{d_f}{2}\cos\left(\frac{2\pi t}{p_z} + \phi\right)$$
$$y(t) = \frac{d_f}{2}\sin\left(\frac{2\pi t}{p_z} + \phi\right)$$
$$z(t) = t$$

where df is the root diameter and t ∈ [0, gear width].

3.2 Tooth Space Generation

The complete tooth space profile combines:

  1. Left involute flank
  2. Right involute flank
  3. Root circular arc
  4. Transition curves

The parametric range for involute generation is:

$$\theta \in [\alpha_g, 0.3\pi]$$

where αg is the starting pressure angle:

$$\alpha_g = \arctan\left[\tan\alpha_t – \frac{2(d – d_f – 2\rho_n(1-\sin\alpha))}{d\sin2\alpha_t}\right]$$

4. Verification and Applications

The proposed method achieves micron-level accuracy through:

  • Exact involute formulation
  • Precise root fillet modeling
  • Parametric associativity

Key advantages for helical gear design include:

Feature Benefit
Global variables Quick parameter modification
Equation curves Accurate tooth geometry
Pattern features Automatic tooth duplication

The method successfully overcomes limitations of previous approaches that used approximate circular arcs for root fillets. The parametric model enables rapid design iteration for different helical gear specifications while maintaining manufacturing accuracy.

$$QED: \quad \frac{\partial F}{\partial x} = \lim_{h\to 0} \frac{F(x+h) – F(x)}{h}$$

Future work will focus on implementing this methodology for double helical gears and investigating thermal deformation effects through coupled FEA simulations.

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