CATIA platform-based internal lens random pattern optical surface generation method

Abstract

The invention discloses an inner lens random pattern optical surface generation method based on a CATIA platform. The method comprises the following steps: (1) setting initialization parameters: setting basic geometric parameters of an inner lens and a generation rule of random patterns; (2) random pattern generation: an irregular optical feature unit optical microstructure is created on the surface by using a random number generation algorithm, and each edge of the unit optical microstructure has a random angle in a plane and a vertical plane; (3) creating an optical surface: creating a three-dimensional optical surface model in CATIA (Computer-graphics Aided Three-dimensional Interactive Application) by using the randomly generated unit optical microstructure; and (4) model optimization and verification: performing optical performance simulation on the generated optical surface, verifying the uniformity and scattering characteristics of the optical surface, and adjusting parameters to optimize the design. And the light distribution uniformity and the design flexibility of the inner lens are improved.

Description

Technical Field

[0001] The invention relates to the field of optical design, in particular to a method for generating a random pattern optical surface of an inner lens based on a CATIA platform. Background Art

[0002] With the development of optical display and lighting technology, inner lenses are widely used in various optical devices as important components for controlling light distribution. Traditional inner lens designs usually adopt regular optical surface structures, which may cause uneven light distribution or glare problems, as well as aesthetic fatigue problems in some applications. Therefore, it is of great practical significance to study a technology that can generate random patterned optical surfaces. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method for generating a random pattern optical surface of an inner lens based on a CATIA platform, so as to improve the uniformity of light distribution of the inner lens and the design flexibility.

[0004] In order to solve the above technical problems, the technical solution of the present invention is: a method for generating a random pattern optical surface of an inner lens based on a CATIA platform, comprising the following steps: (1) Initialization parameter setting: setting the basic geometric parameters of the inner lens and the generation rules of the random pattern, including random cell spacing, random radius, number of edges, maximum angle and minimum angle; (2) Random pattern generation: Using a random number generation algorithm, an irregular optical feature unit optical microstructure is created on the surface. Each edge of the unit optical microstructure has a random angle in the plane and in the vertical plane. (3) Optical surface creation: Create a three-dimensional optical surface model in CATIA using the randomly generated unit optical microstructure; (4) Model optimization and verification: Simulate the optical performance of the generated optical surface, verify its uniformity and scattering characteristics, and adjust parameters to optimize the design.

[0005] As an improvement, in step (1), the parameters are set through a parameter input interface.

[0006] As an improvement, in the step (1), the horizontal distance P1 and the vertical distance P2 of the random cell are input to obtain the basic center array point; the radius r is input, and a new center point k is randomly generated within the circle with the radius r and the center point n as the circle center; the number of segmentation lines s is input; the angle range αmin~αmax of the basic segmentation is input, and the angle is randomly generated within this angle range; on the normal section plane, the downward tilt angle βmin~βmax is input, and the angle is randomly generated within this angle range.

[0007] As an improvement, in step (2), VBA script is used to realize random pattern generation.

[0008] As an improvement, in step (3), the data is input into CATIA through an API interface to generate the final inner lens optical surface model.

[0009] Compared with the prior art, the present invention has the following beneficial effects: The system is implemented on the CATIA platform using VBA (Visual Basic for Applications) scripts, and a patterned optical surface with random characteristics is generated through an algorithm to improve the uniformity of light distribution in the inner lens and the flexibility of design. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of the present invention.

[0011] Figure 2 This is the logic diagram for generating random patterns.

[0012] Figure 3 is the edge segmentation angle range.

[0013] Figure 4 is the downtilt angle range.

[0014] Figure 5 Schematic diagram of the unit optical microstructure.

[0015] Figure 6 Schematic diagram of the random patterned optical surface of the inner lens after generation. DETAILED DESCRIPTION

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] like Figure 1 As shown, a method for generating a random pattern optical surface of an inner lens based on a CATIA platform comprises the following steps: (1) Initialization parameter setting: setting the basic geometric parameters of the inner lens and the generation rules of the random pattern, including random cell spacing, random radius, number of edges, maximum angle and minimum angle; (2) Random pattern generation: Figure 5 As shown, a random number generation algorithm is used to create an irregular optical feature unit optical microstructure on the surface, and each edge of the unit optical microstructure has a random angle in the plane and in the vertical plane; (3) Optical surface creation: Figure 6 As shown, the randomly generated unit optical microstructure is used to create a three-dimensional optical surface model in CATIA; (4) Model optimization and verification: Simulate the optical performance of the generated optical surface, verify its uniformity and scattering characteristics, and adjust parameters to optimize the design.

[0018] In the step (1), the parameters are set through the parameter input interface, and a plug-in is built into the software CATIA platform. The parameters are input through the interface window, which is convenient for users to use and adjust the parameter settings.

[0019] The logic of generating random patterns in step (1): 1.1) If Figure 2 As shown, input the horizontal distance P1 and the vertical distance P2 of the random cell to obtain the basic center array point; 1.2) If Figure 2 As shown, input the radius r, then take the center point n as the center, and randomly generate a new center point k within the circle of radius r; 1.3) If Figure 3 As shown, input the number of segmentation lines 5; input the basic segmentation angle range αmin~αmax, and randomly generate angles within this angle range; 1.4) If Figure 4 As shown, similarly, on the normal section plane, input the downward tilt angle βmin~βmax, and randomly generate angles within this angle range.

[0020] In the step (2), VBA script is used to realize random pattern generation.

[0021] In the step (3), the data is input into CATIA through the API interface to generate the final inner lens optical surface model.

Claims

1. A method for generating random pattern optical surfaces of inner lenses based on CATIA platform, characterized in that: The following steps are involved: (1) Initialization parameter setting: setting the basic geometric parameters of the inner lens and the generation rules of the random pattern, including random cell spacing, random radius, number of edges, maximum angle and minimum angle; (2) Random pattern generation: Using a random number generation algorithm, an irregular optical feature unit optical microstructure is created on the surface. Each edge of the unit optical microstructure has a random angle in the plane and in the vertical plane. (3) Optical surface creation: Create a three-dimensional optical surface model in CATIA using the randomly generated unit optical microstructure; (4) Model optimization and verification: Simulate the optical performance of the generated optical surface, verify its uniformity and scattering characteristics, and adjust parameters to optimize the design.

2. The method for generating a random pattern optical surface of an inner lens based on a CATIA platform according to claim 1, characterized in that: In the step (1), parameters are set through a parameter input interface.

3. The method for generating a random pattern optical surface of an inner lens based on a CATIA platform according to claim 1, characterized in that: In the step (1), the horizontal distance P1 and the vertical distance P2 of the random cell are input to obtain the basic center array point; the radius r is input, and a new center point k is randomly generated within the circle with the center point n as the center and the radius r; the number of segmentation lines s is input; the angle range αmin~αmax of the basic segmentation is input, and the angle is randomly generated within this angle range; on the normal section plane, the downward tilt angle βmin~βmax is input, and the angle is randomly generated within this angle range.

4. The method for generating a random pattern optical surface of an inner lens based on a CATIA platform according to claim 1, characterized in that: In the step (2), VBA script is used to realize random pattern generation.

5. The method for generating a random pattern optical surface of an inner lens based on a CATIA platform according to claim 1, characterized in that: In the step (3), the data is input into CATIA through the API interface to generate the final inner lens optical surface model.

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