NSGA-II-based three-dimensional printing multi-task optimal scheduling method

A technology of 3D printing and optimized scheduling, applied in the direction of additive processing, etc., can solve problems such as multi-task scheduling in 3D printing

Inactive Publication Date: 2015-08-19
NANJING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The above are the application research status of genetic algorithm, production scheduling and multi-objective optimization problems in recent years, but so far, no research results on multi-task scheduling problems involving 3D printing have appeared

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  • NSGA-II-based three-dimensional printing multi-task optimal scheduling method
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  • NSGA-II-based three-dimensional printing multi-task optimal scheduling method

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Embodiment Construction

[0023] The present invention utilizes the NSGA-II multi-objective optimization method to realize multi-task optimization scheduling of 3D printing, and its realization steps are as follows:

[0024] 1. Generalization of 3D printing mode

[0025] 3D printing multi-task scheduling means that after 3D printing tasks are issued, they are assigned to corresponding idle printers according to certain printing requirements (printing accuracy, delivery time, printing cost, printing materials, etc.), which is a series of printing tasks issued and assigned to appropriate printers. printer, printing process. In terms of time, 3D printing multi-task scheduling can be divided into two stages: generation of scheduling scheme and execution of scheduling scheme. The first stage refers to generating an optimal or better scheduling plan by means of operational research and optimization. The premise of the normal operation of the plan is that the printing environment (task assignment and printer...

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Abstract

The invention provides an NSGA-II-based three-dimensional printing multi-task optimal scheduling method, mainly using a non-dominated sorting genetic algorithm with an elitist strategy to realize three-dimensional printing multi-task optimal scheduling. Under a gradually customized large-scale production mode for a three-dimensional printing product, overall interests of a three-dimensional printing service provider and customers with demands, and a time limit-cost-resource-quality four-dimensional multi-task optimal scheduling model is built. Print resolution price differences are included within the model range for the first time, and printing tasks transmitted in real time are subjected to optimal scheduling, so the optimization effects of being the shortest in service time, the lowest in production cost, the shortest in wait time and idle time and minimum in printing accuracy deviation in three-dimensional printing multi-task production are respectively achieved, and the NSGA-II-based three-dimensional printing multi-task optimal scheduling method has better practical value and broad application prospects in the field of three-dimensional printing manufacturing.

Description

technical field [0001] The present invention specifically relates to an NSGA-II-based multi-task optimization scheduling method for 3D printing, which belongs to the scheduling problem in the advanced manufacturing system operation control theory. Under the gradually customized and large-scale production mode of 3D printing products, using Non-dominated sorting genetic algorithm realizes optimal scheduling of 3D printing multi-task production. Background technique [0002] As an emerging technology, 3D printing technology is considered to be one of the main factors leading the third industrial revolution. At the Hannover Messe in April 2013, the "Fourth Industrial Revolution" (also known as Industry 4.0, Industry 4.0) strategy was officially launched, and has been widely recognized by scientific research institutions and industries around the world. During Premier Li Keqiang's visit to Germany in November 2014, he announced that the two countries would cooperate on Industry...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B29C67/00B33Y50/02
Inventor 彭晨郭灿灿杨继全
Owner NANJING NORMAL UNIVERSITY
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