Forging resistance furnace production optimization method based on SPEA2 algorithm

An optimization method and resistance furnace technology, applied in constraint-based CAD, design optimization/simulation, calculation, etc., can solve problems such as poor capacity and short time

Pending Publication Date: 2020-01-14
BEIJING UNIV OF TECH
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application uses a resistance furnace production optimization method based on the SPEA2 algorithm to solve the technical...

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
  • Forging resistance furnace production optimization method based on SPEA2 algorithm
  • Forging resistance furnace production optimization method based on SPEA2 algorithm
  • Forging resistance furnace production optimization method based on SPEA2 algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0120] This application adopts a resistance furnace production optimization method based on the SPEA2 algorithm to solve the technical problems of the lowest forging total energy consumption, the shortest forging heating time, and the smallest difference in furnace charging capacity (that is, the highest effective utilization rate of the resistance furnace) in the resistance furnace production process. .

[0121] In order to better understand the above-mentioned technical solution, the above-mentioned technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific case implementations.

[0122] A resistance furnace production optimization method based on the SPEA2 algorithm, the specific steps are as follows figure 1 shown.

[0123] Take the RJX-75-9 medium temperature resistance furnace as an example ( figure 2 ), the implementation steps of the present invention are as follows:

[0124] Step 1 analyzes ...

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 discloses a resistance furnace production optimization method based on an SPEA2 algorithm, which comprises the following steps: analyzing flow characteristics of energy in a forging process, and establishing a resistance furnace energy consumption model based on resistance furnace energy balance according to a heat conduction theory in combination with technical performance indexes of a heating furnace, furnace lining material parameters and thermophysical properties of materials; on the basis of the four working stages of the resistance furnace and the energy consumption model,providing an optimization model with the minimum energy consumption cost, the minimum time and the minimum furnace capacity difference in the single-machine production planning process of the resistance furnace; optimizing A production process model based on an SPEA2 algorithm, respectively obtaining an efficient mode corresponding to minimum time optimization, an energy-saving mode correspondingto minimum energy consumption optimization and a comprehensive mode corresponding to multi-target simultaneous optimization, and decision makers can make a choice according to actual conditions. According to the method, under the condition that extra capital investment of an enterprise is not increased, a production plan is made, production in different modes is achieved, decision makers can makea choice according to actual conditions, and economic benefits and environmental protection are achieved.

Description

technical field [0001] The invention relates to the field of production optimization, in particular to a production optimization method for a resistance furnace based on the SPEA2 algorithm. Background technique [0002] Forging is one of the basic processes of machinery manufacturing. The forging industry occupies an important position in the machinery manufacturing industry and is an energy-intensive industry. For reasons such as ecological environment policies and energy costs, the forging industry and researchers are working hard to find ways to reduce energy consumption. [0003] Reducing the energy consumption of the resistance furnace in the forging process is an effective way to solve these problems and strengthen the competition of manufacturers. At present, optimizing the energy consumption of resistance furnaces mainly focuses on the following two aspects. On the one hand, starting from the resistance furnace itself, energy-saving research mainly focuses on equi...

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
IPC IPC(8): G06F30/20G06Q10/04G06Q50/04G06F111/10G06F111/04G06F119/08
CPCG06Q10/04G06Q50/04Y02P90/30
Inventor 程强公金龙刘志峰高元杰
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap