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Method for producing a component of an internal combustion engine and simulation system for accelerated simulation of the behavior of a component of an internal combustion engine

机译:用于制造内燃机的部件的方法和用于加速仿真内燃机的部件的性能的仿真系统

摘要

Method for producing a component of an internal combustion engine, a. whereby a construction plan of the component is created, b. wherein, based on the design plan, a physical simulation model (1) of the component is created, c. wherein a method for accelerated simulation of the behavior of a component of an internal combustion engine based on the physical simulation model (1) is performed, wherein the simulation model (1) as input variables a plurality of system parameters (2) and as outputs a plurality of performance features (3), wherein the physical simulation model (1) is replaced by an artificial neural network comprising a cluster (105) of radial basis function networks (104), comprising the following steps: - Providing a selection of system parameters (2) of the physical simulation model (1) and parameter combinations of several system parameters (2) of the physical simulation model (1); Grouping the system parameters (2) and parameter combinations into a plurality of parameter groups (100), one or more system parameters (2) and / or parameter combinations being contained in a parameter group (100); For each parameter group, providing an artificial neural network that is a radial basis function network; - training the artificial neural networks (104) for each parameter group (100); Combining the artificial neural networks (104) into a cluster (105) of radial basis function networks, wherein the artificial neural networks (104) comprise center vectors and weighting vectors, wherein in combining the artificial neural networks (104) the center vectors into the cluster (105) are taken over from radial basis function networks and the weighting vectors are recalculated, in particular by a linear regression, d. wherein the component is manufactured based on the design plan.
机译:用于制造内燃机的部件的方法,a。从而创建组件的施工计划; b。其中,基于设计计划,创建组件的物理仿真模型(1),c。其中执行了一种基于物理模拟模型(1)来加速模拟内燃机部件性能的方法,其中模拟模型(1)作为输入变量包括多个系统参数(2)和作为输出多个性能特征(3),其中物理仿真模型(1)被包含径向基础功能网络(104)的群集(105)的人工神经网络代替,该人工神经网络包括以下步骤:-提供系统选择物理仿真模型(1)的参数(2)和物理仿真模型(1)的几个系统参数(2)的参数组合;将系统参数(2)和参数组合分组为多个参数组(100),一个或多个系统参数(2)和/或参数组合包含在参数组(100)中;对于每个参数组,提供一个人工神经网络,它是一个径向基函数网络; -为每个参数组(100)训练人工神经网络(104);将人工神经网络(104)组合到径向基函数网络的群集(105)中,其中人工神经网络(104)包括中心向量和加权向量,其中在将人工神经网络(104)组合时,将中心向量合并到径向神经网络从径向基函数网络接管聚类(105),并且特别是通过线性回归d重新计算加权向量。其中,组件是根据设计计划制造的。

著录项

  • 公开/公告号DE102017118995B4

    专利类型

  • 公开/公告日2019-05-09

    原文格式PDF

  • 申请/专利权人 SCHAEFFLER TECHNOLOGIES AG & CO. KG;

    申请/专利号DE201710118995

  • 发明设计人 DANIEL REPPEL;MICHAEL HEGMANN;

    申请日2017-08-21

  • 分类号G06F17/50;G06N3/02;

  • 国家 DE

  • 入库时间 2022-08-21 11:45:23

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