CN-122021117-A - Simulation method and related equipment for wind power blade pultrusion Liang Zhenkong pouring process

CN122021117ACN 122021117 ACN122021117 ACN 122021117ACN-122021117-A

Abstract

The application discloses a simulation method and related equipment of a wind power blade pultrusion Liang Zhenkong pouring process, wherein the method comprises the steps of constructing a three-dimensional solid model based on an actual layering scheme of a wind power blade pultrusion girder, and establishing a simulation model of a vacuum pouring process according to the three-dimensional solid model; the method comprises the steps of providing material properties and boundary conditions for the simulation model to obtain a complete model, integrating the complete model into a resin flow control equation for simulation, and predicting dynamic flow parameters of resin, wherein the dynamic flow parameters comprise flow front morphology, pressure field and filling time. The embodiment of the application can improve the accuracy of predicting the racing effect. The application can be widely applied to the technical field of process simulation.

Inventors

ZHU PINGYU
ZENG XIANRU
CAO LIU
LI FANGYI
CHEN WEITAO
XIONG DANLI
HOU JINGCHAO

Assignees

广州大学

Dates

Publication Date: 20260512
Application Date: 20251225

Claims (10)

1. A simulation method of a wind power blade pultrusion Liang Zhenkong pouring process, which is characterized by comprising the following steps: Constructing a three-dimensional solid model based on an actual layering scheme of a pultruded girder of the wind power blade, and constructing a simulation model of a vacuum pouring process according to the three-dimensional solid model; Endowing the simulation model with material properties and boundary conditions to obtain a complete model; And integrating the complete model into a resin flow control equation to simulate, and predicting dynamic flow parameters of the resin, wherein the dynamic flow parameters comprise a flow front form, a pressure field and filling time.
2. The method according to claim 1, wherein the method further comprises: Integrating a porosity prediction based on local capillary numbers into the complete model to define a non-uniform flow resistance; performing transient simulation under the driving of the boundary condition, and tracking the front of the resin to form a phase fraction distribution cloud picture of the resin; And identifying the pore defects according to the phase fraction distribution cloud picture, and determining the positions of the pore defects.
3. The method according to claim 1, wherein the method further comprises: Constructing a mold filling time and pore content distribution database of different process schemes according to simulation results; And obtaining screening conditions, and screening an optimal process scheme from the database according to the screening conditions.
4. The method of claim 1, wherein the constructing a three-dimensional solid model based on the actual layering scheme of the wind turbine blade pultruded spar comprises: Based on an actual layering scheme of the wind power blade pultrusion girder, key geometric features of splicing gaps and interlayer gaps among the pultrusion plates are identified and defined in a parameterized mode; and constructing a three-dimensional solid model according to the key geometric features.
5. The method of claim 4, wherein said creating a simulation model of a vacuum infusion process from said three-dimensional solid model comprises: And reconstructing the key geometric features into continuous entities based on the three-dimensional entity model, and creating an independent 'seam and gap runner domain' component to obtain a simulation model of the vacuum perfusion process.
6. The method of claim 1, wherein said assigning material properties and boundary conditions to said simulation model results in a complete model comprising: Performing three-dimensional calculation grid division on the fluid domain of the simulation model; Setting the permeability of the seam/clearance domain as a parameter which is determined by corresponding component experiments so as to represent the characteristic of the priority flow channel; setting boundary conditions of a glue injection port and an extraction port consistent with the actual process to obtain a complete model.
7. A simulation device for a wind power blade pultrusion Liang Zhenkong pouring process, characterized in that the device comprises: the first module is used for constructing a three-dimensional solid model based on an actual layering scheme of the wind power blade pultrusion girder, and establishing a simulation model of a vacuum pouring process according to the three-dimensional solid model; the second module is used for endowing the simulation model with material properties and boundary conditions to obtain a complete model; And the third module is used for integrating the complete model into a resin flow control equation to simulate and predict dynamic flow parameters of the resin, wherein the dynamic flow parameters comprise a flow front form, a pressure field and filling time.
8. An electronic device, comprising: At least one processor; at least one memory for storing at least one program; The at least one program, when executed by the at least one processor, causes the at least one processor to implement the method of any of claims 1-6.
9. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method of any one of claims 1 to 6.

Description

Simulation method and related equipment for wind power blade pultrusion Liang Zhenkong pouring process Technical Field The application relates to the technical field of process simulation, in particular to a simulation method and related equipment of a wind power blade pultrusion Liang Zhenkong pouring process. Background With the development of the wind power blade to ultra-large scale, a main bearing structure, namely a main beam (Spar Cap), is formed by splicing high-performance carbon fiber pultrusion plates through a vacuum auxiliary resin transfer molding (Va-RTM) process. However, the large number of longitudinal splice joints and interlaminar gaps created by the laying of pultruded panels presents a significant challenge in the resin infusion process, since the permeability in the splice joint region differs by an order of magnitude from the surrounding fiber fabric region, a significant "Racing Flow effect" is created when the resin flows through such strong non-uniform preforms, i.e., the resin preferentially penetrates the high permeability splice channels, while the low permeability fiber region exhibits Flow retardation, resulting in severe destabilization of the three-dimensional Flow front. The unstable flow is easy to pinch and retain gas at the tail end of the abutted seam and in a triangular area with slow resin flow velocity, and finally macroscopic dry spots and high porosity defects are formed, so that the structural strength and fatigue life of the main beam are seriously weakened, and the main beam becomes a key technical bottleneck for restricting the quality and reliability of products. The traditional simulation method (such as simulation based on macroscopic Darcy law) has fundamental limitation in predicting the pore defects caused by the splicing seams, wherein the core assumption is that a preform is regarded as a medium with homogeneous permeability, and the core assumption is seriously different from the non-uniform reality with huge difference of the permeability of the splicing seams/fiber areas, so that the 'racing effect' and the three-dimensional flow front distortion caused by the racing effect cannot be accurately described. Meanwhile, the existing model usually ignores the explicit geometric characteristics of the splice joint and the random fluctuation of the permeability, and related researches show that the nested equivalent has remarkable influence on the variation of the permeability field, and the flowing behavior can be truly reflected only by means of the random model, so that macroscopic dry spots and pore defects formed by the gas retention at the end of the bidding are difficult to effectively predict. Therefore, the existing simulation technology has obvious bottleneck in coping with the flow instability and defect prediction problems of the strong non-uniform and multi-scale structure, and development of a new high-fidelity simulation method capable of coupling the microscopic features and the parameter randomness is needed. Disclosure of Invention In order to solve one of the problems, the main purpose of the embodiment of the application is to provide a simulation method and related equipment for a wind power blade pultrusion Liang Zhenkong pouring process, aiming at improving the accuracy of predicting the racing effect. In order to achieve the above objective, an aspect of the embodiments of the present application provides a simulation method for a wind turbine blade pultrusion Liang Zhenkong perfusion process, the method includes the following steps: Constructing a three-dimensional solid model based on an actual layering scheme of a pultruded girder of the wind power blade, and constructing a simulation model of a vacuum pouring process according to the three-dimensional solid model; Endowing the simulation model with material properties and boundary conditions to obtain a complete model; And integrating the complete model into a resin flow control equation to simulate, and predicting dynamic flow parameters of the resin, wherein the dynamic flow parameters comprise a flow front form, a pressure field and filling time. In some embodiments, the method further comprises: Integrating a porosity prediction based on local capillary numbers into the complete model to define a non-uniform flow resistance; performing transient simulation under the driving of the boundary condition, and tracking the front of the resin to form a phase fraction distribution cloud picture of the resin; And identifying the pore defects according to the phase fraction distribution cloud picture, and determining the positions of the pore defects. In some embodiments, the method further comprises: Constructing a mold filling time and pore content distribution database of different process schemes according to simulation results; And obtaining screening conditions, and screening an optimal process scheme from the database according to the screening conditions. In some embodiments,