CN-122020891-A - Gear squeal optimization method and system based on contact spot unbalanced load quantification

CN122020891ACN 122020891 ACN122020891 ACN 122020891ACN-122020891-A

Abstract

The invention discloses a gear squeal optimization method and a system based on contact spot unbalanced load quantification, and relates to the technical field of NVH performance optimization of a vehicle transmission system. The invention aims to solve the problems of lack of quantization standard, fuzzy association between parameters and targets and insufficient squeal control under low-torque working conditions in the prior art of microscopic modification optimization of gears. The method comprises the steps of defining a bias load quantification index system comprising an offset, divergence and an all-condition comprehensive evaluation parameter (R), collecting data through a variable control simulation experiment, constructing a quantitative mathematical association model between microscopic modification parameters (fH alpha, fH beta, C alpha, C beta) and quantification indexes, and carrying out multi-objective optimization by taking the R value as a target and combining contact stress constraint. According to the invention, through establishing the quantitative mapping of the parameters and the indexes, the accurate prediction and optimization of the gear squeal performance are realized, the development period is greatly shortened, and the NVH performance and the durability and reliability are effectively considered.

Inventors

Zhang Feibing
ZOU WENBO
HAN TAO
WANG ZHIYANG
TANG SHENG
WANG FANG
TAO ZHE

Assignees

智新科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260121

Claims (10)

1. The gear squeal optimization method based on contact spot unbalanced load quantification is characterized by comprising the following steps of: Step S1, defining an offset load quantization index system of gear contact spots, wherein the offset load quantization index system comprises left and right offset indexes, up and down offset indexes, divergence indexes and all-condition comprehensive evaluation parameters calculated based on an effective contact area; S2, acquiring sample data by utilizing a multi-working condition simulation experiment based on preset gear microscopic modification parameter variables, wherein the sample data comprises offset load quantization index values corresponding to different microscopic modification parameter combinations under different torque working conditions; Step S3, based on the sample data, respectively constructing quantitative association mathematical models between the microscopic modification parameters of the gears and the unbalanced load quantization indexes under all working conditions; s4, taking the total working condition comprehensive evaluation parameter minimization as a core optimization target, and solving an optimal gear microscopic modification parameter combination by utilizing the quantitative association mathematical model in combination with a preset gear contact stress constraint condition; And S5, substituting the optimal gear micro-modification parameter combination into a simulation model for verification, and outputting a result if a preset threshold is met.
2. The method according to claim 1, wherein in the step S1, the effective contact area S 0 is defined as a rectangular area with the tip transition area, the root transition area, and the left and right chamfer removed, and the geometric parameters are width W and height H, and the center coordinates are O (W 0 ,H 0 ); The left-right shift index ΔW i is defined as the normalized distance of the contact patch center O i （W i ,H i from the tooth width direction of the effective contact area center O (W 0 ,H 0 ); The up-down shift index Δh i is defined as the tooth-height-direction normalized distance by which the contact spot center O i （W i ,H i is offset from the effective contact area center O (W 0 ,H 0 ); The divergence index Δdi is defined as the area ratio of the contact spot within the effective contact area S 0 .
3. The method according to claim 2, wherein in the step S1, the calculation formula of the all-condition comprehensive evaluation parameter R is: wherein omega i is the weight coefficient of the ith working condition, and delta P i is the single-working condition comprehensive unbalanced load index of the ith working condition; the calculation formula of the single-working-condition comprehensive unbalanced load index delta P i is as follows: Wherein α, β, γ are weight coefficients of the respective components, and α+β+γ=1.
4. The method of claim 3, wherein the weighting factor ω i is assigned in accordance with a rule that a weight value of a squeal sensitive operating mode region is greater than a weight value of a hypo sensitive operating mode region, the hypo sensitive operating mode region has a weight value greater than a weight value of a non-sensitive operating mode region, and the squeal sensitive operating mode region corresponds to a low torque operating mode region.
5. The method of claim 1, wherein the gear micro-modification parameters include a tooth profile modification fhα, a tooth direction modification fhβ, a tooth profile crowning amount cα, and a tooth direction crowning amount cβ. In the step S2, the multi-working condition variable control simulation experiment adopts an orthogonal test design or a full factor design, and includes: the first group of experiments comprises the steps of fixing fH beta, C alpha, C beta and changing fH alpha to obtain the influence data of fH alpha on an up-down offset index delta H; the second group of experiments comprises fixing fH alpha, C beta and changing fH beta to obtain the influence data of fH beta on the left-right offset index delta W; And in the third group of experiments, fixing fHalpha, fHbeta, and cooperatively changing Calpha and Cbeta to obtain interaction influence data of the Calpha and the Cbeta on the divergence index delta D.
6. The method according to claim 5, wherein in the step S3, constructing the quantitative association mathematical model specifically includes: establishing a unitary primary linear model of fH alpha and an all-condition up-down offset index delta H total : Establishing a unitary primary linear model of fH beta and a full-working-condition left-right offset index delta W total : establishing a binary quadratic polynomial regression model of Calpha, cbeta and an all-condition divergence index delta D total : Wherein the k-series parameter is an influence coefficient and the b-series parameter is an intercept.
7. The method according to claim 3, wherein in the step S4, the core optimization objective is minR; The preset gear contact stress constraint condition is that sigma is less than or equal to sigma limit , wherein sigma is the maximum contact stress of the gear, and sigma limit is the allowable stress threshold of the gear material.
8. The method according to claim 1, wherein in the step S5, if the verification result does not meet the preset threshold, the coefficients of the quantitative association mathematical model are recalibrated or the constraint conditions in the step S4 are adjusted, and the step S4 is repeated.
9. A gear squeal optimization system based on contact patch offset load quantification, comprising: the index definition module is used for storing and defining a partial load quantification index system of the gear contact spots, and the index system comprises a geometric offset and divergence based on an effective contact area; The data acquisition module is used for executing multi-working condition variable control simulation and collecting unbalanced load quantization index data under different combinations of microcosmic modification parameters; the modeling module is used for constructing a quantitative association mathematical model between the microscopic modification parameters of the gears and the unbalanced load quantization indexes based on the acquired data; The optimization solving module is used for calculating an optimal microscopic modification parameter combination by using the quantitative association mathematical model on the premise of meeting the contact stress constraint with the aim of minimizing the comprehensive evaluation parameters under all working conditions; wherein the system comprises a processor and a memory, the memory storing a computer program, the processor implementing the method steps of any of claims 1 to 8 when the computer program is executed.
10. The system of claim 9, wherein the modeling module is configured to identify squeal sensitivity for the low torque operating regime interval and to assign a higher weight coefficient to the low torque operating regime when constructing the model.

Description

Gear squeal optimization method and system based on contact spot unbalanced load quantification Technical Field The invention belongs to the technical field of NVH (noise, vibration and harshness) performance optimization and gear design of a gear transmission system, and particularly relates to a method and a system for optimizing microscopic parameters of gears of core transmission components such as a vehicle gearbox and a drive axle. Background Gear squeal is one of the central sources of vehicle NVH complaints, the nature of which is localized stress concentrations and periodic vibrations caused by tooth face contact offset loads (up-down offset, side-to-side offset, divergence). Especially under the working condition of low speed and small torque, gear squeal noise is easy to be perceived by a user due to weak background noise and insufficient covering effect, and the gear squeal noise becomes a core pain point to be solved urgently in the industry. The microscopic modification parameters of the gears are key means for regulating and controlling the characteristics of contact spots. Wherein the tooth profile modification (fH2) mainly affects the up-down offset of the contact spot, the tooth profile modification (fH2) mainly affects the left-right offset, and the tooth profile drum (Calpha) and the tooth profile drum (Cbeta) cooperatively determine the divergence or focusing degree of the spot. However, there is a significant technical bottleneck in the current industry for gear microcosmic parameter optimization: 1. The quantitative evaluation is lacking, and the existing optimization often depends on qualitative judgment such as spot centering, morphological rules and the like, and lacks a unified quantitative index. The "optimization standard threshold" cannot be precisely defined, and the contradiction that the morphology appears to be standard but the actual howling exceeds standard "often occurs. 2. The prior art can only describe qualitative trends of microscopic parameters on spots (such as ' fH alpha is increased to enable the spots to move upwards '), and ' specific variation of unbalanced load indexes when the parameters change by 1 mu m ' cannot be quantified '. In addition, the synergistic nonlinear effect of C alpha and C beta on the divergence is often ignored, so that optimization is dependent on repeated trial and error, and the development period is as long as 3-6 months. 3. The sensitive area weight is unbalanced, namely the existing optimized working condition (attention intensity and durability) with large torque in multi-focus ignores the squeal sensitivity between small and medium torque areas, and leads to the fact that the non-sensitive area reaches the standard but the squeal of the sensitive area exceeds the standard. 4. And the assessment and optimization are disjoint, namely, an optimization method connected with a unified quantitative assessment system is lacked, and closed loops are difficult to form. Therefore, an optimization method capable of realizing quantitative mapping between microscopic parameters and contact spot performance and considering the balance of all-condition performance is needed. Disclosure of Invention Aiming at the problems of lack of quantization standard, fuzzy correlation between parameters and targets, long trial-and-error period and insufficient control on howling under low-torque working conditions in the prior art of gear microscopic shaping optimization, the invention provides a gear howling optimization method and system based on contact spot unbalanced load quantization, and accurate design of microscopic parameters is realized by constructing a quantitative correlation model. In order to solve the technical problems, in a first aspect, the present invention provides a gear squeal optimization method based on unbalanced load quantification of contact spots, comprising the following steps: Step S1, defining an offset load quantization index system of gear contact spots, wherein the offset load quantization index system comprises left and right offset indexes, up and down offset indexes, divergence indexes and all-condition comprehensive evaluation parameters calculated based on an effective contact area; S2, acquiring sample data by utilizing a multi-working condition simulation experiment based on preset gear microscopic modification parameter variables, wherein the sample data comprises offset load quantization index values corresponding to different microscopic modification parameter combinations under different torque working conditions; Step S3, based on the sample data, respectively constructing quantitative association mathematical models between the microscopic modification parameters of the gears and the unbalanced load quantization indexes under all working conditions; s4, taking the total working condition comprehensive evaluation parameter minimization as a core optimization target, and solving an optimal gear microscopic modif