Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Casting grinding ball gradation modeling method and system based on visual platform

A technology for casting grinding balls and modeling methods, which is applied in design optimization/simulation, special data processing applications, complex mathematical operations, etc. Good quality, consistent performance, and improved service life

Pending Publication Date: 2019-09-27
HUAIYIN TEACHERS COLLEGE
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing grinding ball casting process is not accurate and the quality is not high; at the same time, casting grinding balls consumes a lot of energy and costs high

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Casting grinding ball gradation modeling method and system based on visual platform
  • Casting grinding ball gradation modeling method and system based on visual platform
  • Casting grinding ball gradation modeling method and system based on visual platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] Model construction module 3 construction methods provided by the present invention are as follows:

[0085] (1) Establishment of grinding ball wear matrix model.

[0086] A1: Determine the steady-state characteristic matrix of grinding ball wear as [p(t)],

[0087]

[0088] A2: Determine the ideal ball loading grading vector {x0} and the actual ball loading grading vector {x}, the rated ball loading capacity of a ball mill is W, and its grinding ball wear steady-state characteristic matrix is ​​[p(t )], the ideal ball distribution vector {x0} and the actual ball distribution vector {x} are respectively:

[0089] {x 0}=(x 10 , x 20 ,...,x h0 ,...,x n0 T .

[0090] {x}={x 1 , x 2 ,...,x k ,...x n} T .

[0091] A3: After t days of continuous coal grinding, the difference between the residence amount of kth grade grinding balls in the drum and the ideal ball distribution is ΔWk:

[0092]

[0093] A4: The total amount to be added is ΔW:

[0094] A5: The...

Embodiment 2

[0123] The visualization method of the grinding ball component visualization module 5 provided by the present invention is as follows:

[0124] 1) Configure the initial data of the grinding ball equipment.

[0125] 2) Select materials according to the needs of working conditions and service life.

[0126]3) Adopt visualization method one after determining the N grading assessment indicators, list the influencing factors affecting the N grading assessment indicators and list the level ranges of the influencing factors affecting the N grading assessment indicators according to work experience, the N is an integer.

[0127] 4) Determine the symmetrical horizontal experimental point that can most effectively reflect the variation range of the assessment index within the horizontal range drawn up in step 3) according to visualization method one.

[0128] 5) Design a certain grinding ball with a variety of ball diameters in a certain proportion with a non-integer multiple, and com...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of grinding ball gradation mathematical modeling, and discloses a casting grinding ball gradation modeling method and system based on a visual platform. A grinding ball wear matrix model and a neural network forecasting grinding ball supplement proportion model are constructed through a model construction module by utilizing a modeling program; indexes such as mill energy consumption, mill ball abrasion, powder yield and production cost reduction rate of the mill balls are visualized by utilizing a visualization program; and the like. By constructing the grinding ball wear matrix model and the neural network prediction grinding ball supplement proportion model, grinding ball casting can be more accurate, and the quality is higher; by applying the visualization method, the visualization method is obtained with extremely few experiment times, and a material formula range and a heat treatment process condition range of which three technical indexes of hardness, toughness and hardness uniformity meet the requirements can be obtained by designing and optimizing the experiment; the service life of the grinding ball is prolonged; therefore, energy is saved, consumption is reduced and production cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of mathematical modeling of grinding ball gradation, and in particular relates to a casting grinding ball gradation modeling method and system based on a visualization platform. Background technique [0002] Wear-resistant ball (grinding ball) is a kind of crushing medium used in ball mills, which is used to crush the materials in the mill. One is white cast iron with chromium as the main alloying element, referred to as chromium alloy cast iron, and chromium alloy The casting grinding ball made of cast iron is called chromium alloy cast iron grinding ball; the other is that the casting grinding ball made of ductile iron is called ductile iron grinding ball, in which the matrix structure obtained by heat treatment is mainly bainite ductile graphite. Cast iron grinding balls are referred to as bainitic ductile iron grinding balls; ductile iron grinding balls whose matrix structure is mainly martensite obtaine...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/16
CPCG06F17/16G06F30/17G06F2119/04G06F30/20
Inventor 郑发美臧庆佩张玲萍连秀国张阳
Owner HUAIYIN TEACHERS COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com