[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Li et al., 2022 - Google Patents

Thermal error modeling of electrical spindle based on optimized ELM with marine predator algorithm

Li et al., 2022

View HTML
Document ID
2743717220232395461
Author
Li Z
Wang B
Zhu B
Wang Q
Zhu W
Publication year
Publication venue
Case Studies in Thermal Engineering

External Links

Snippet

High-speed electric spindle is an important part of computer numerical control (CNC) machining equipment, and the thermal displacement generated by the electric spindle during operation affects the electric spindle machining stability and machining accuracy …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00—Indexing scheme relating to computer aided design [CAD]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/12—Computer systems based on biological models using genetic models
    • G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system

Similar Documents

Publication Publication Date Title
Li et al. Thermal error modeling of electrical spindle based on optimized ELM with marine predator algorithm
Liao et al. Tool wear state recognition based on GWO–SVM with feature selection of genetic algorithm
Li et al. Thermal error modeling of high-speed electric spindle based on Aquila Optimizer optimized least squares support vector machine
Zhang et al. Computational fluid dynamics-based hull form optimization using approximation method
Li et al. Thermal error modeling of motorized spindle based on Elman neural network optimized by sparrow search algorithm
Sun et al. A hybrid driven approach to integrate surrogate model and Bayesian framework for the prediction of machining errors of thin-walled parts
Li et al. Prediction of thermal error for feed system of machine tools based on random radial basis function neural network
CN112784361A (en) Method for optimizing structure of automobile engine compartment heat dissipation system based on proxy model
Dai et al. Modeling of thermal error electric spindle based on KELM ameliorated by snake optimization
Dai et al. Thermal error prediction model of high-speed motorized spindle based on DELM network optimized by weighted mean of vectors algorithm
Li et al. Thermal error modeling of electric spindle based on particle swarm optimization-SVM neural network
CN118761187B (en) Method and system for selecting installation position of indoor temperature sensor
Wang et al. A hybrid thermal error modeling method of heavy machine tools in z-axis
Kuo et al. A thermal displacement prediction system with an automatic LRGTVAC-PSO optimized branch structured bidirectional GRU neural network
Liu et al. Thermal error modeling of gear hobbing machine based on IGWO-GRNN
Yang et al. Thermal error modeling by integrating GWO and ANFIS algorithms for the gear hobbing machine
Fu et al. MA-CNN based spindle thermal error modeling using the depth feature analysis with thermal error mechanism
Meng et al. Multiobjective optimization for the impeller of centrifugal fan based on response surface methodology with grey relational analysis method
Guo et al. Data mining and application of ship impact spectrum acceleration based on PNN neural network
Li et al. Regression predictive modeling of high-speed motorized spindle using POA-LSTM
Cheng et al. Research on electric spindle thermal error prediction model based on DBO-SVM
Chen et al. Screw thermal characteristic analysis and error prediction considering the two-dimensional heat transfer structure
Mirazimzadeh et al. Unsupervised clustering approach for recognizing residual stress and distortion patterns for different parts for directed energy deposition additive manufacturing
Song et al. Prediction and optimization of surface roughness in high-speed dry milling of 30CrMnSiNiA using GPR and MOHHO algorithm
Li et al. Dynamic memory intelligent algorithm used for prediction of thermal error reliability of ball screw system