Energy-saving optimization method for integration of melting, distribution and heat preservation parameters for aluminum die casting

An optimization method, aluminum die-casting technology, applied in design optimization/simulation, energy industry, data processing applications, etc., can solve problems such as large transportation intervals, waste, high heat preservation energy consumption, etc., and achieve the goal of reducing workload and production costs Effect

Active Publication Date: 2021-07-13
ZHEJIANG UNIV
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Problems solved by technology

[0004] In order to prevent the aluminum liquid from being supplied on time, the current craftsmen generally use the rated melting speed (maximum melting speed), the highest upper and lower limit heat preservation height of the furnace, and a larger heat preservation upper and lower limit height, and will not adjust these for different production plans parameters, the time interval of feeding the holding furnace is not accurate, sometimes the feeding is not timely or the heat preservation amount of the holding furnace is at a high level for a long time
The operating parameters currently used can generally make some indicators better, such as higher melting efficiency, lower melting loss, fewer transportation times (making labor costs lower) and larger transportation intervals, but often lead to The very high heat preservation energy consumption has caused a certain amount of waste. The integration and optimization of these parameters can effectively reduce the overall energy consumption cost, but there is currently a lack of corresponding methods
[0005] In view of the above problems, the existing technology is relatively lacking, and there is only one related patented technology (publication number CN111325408A), which is aimed at the melting and heat preservation of molten aluminum in a distributed melting mode (a melting and heat preservation integrated furnace corresponds to One die-casting unit, without liquid aluminum transportation), is not applicable to the centralized melting mode (one melting furnace, corresponding to multiple holding furnaces and multiple die-casting units, with aluminum liquid distribution), so it is necessary to study new technologies to solve the problem above question

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  • Energy-saving optimization method for integration of melting, distribution and heat preservation parameters for aluminum die casting
  • Energy-saving optimization method for integration of melting, distribution and heat preservation parameters for aluminum die casting
  • Energy-saving optimization method for integration of melting, distribution and heat preservation parameters for aluminum die casting

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Embodiment Construction

[0053] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] The present invention is an energy-saving optimization method for the integration of melting, distribution and heat preservation parameters of aluminum die-casting, which includes the following steps:

[0055] (1) The pouring quality Mp of each holding furnace for the corresponding die-casting machine in a whole composed of a melting furnace (melting furnace number is n) and multiple holding furnaces (holding furnace number is k) k , the interval time Tp of each pouring k , The number of products Qp that each die-casting machine needs to produce k , The heat preservation amount Mms of the melting furnace at the initial moment n , The state Ssims of the melting burner at the initial moment of the melting furnace n (0 stands for standby, 1 stands ...

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Abstract

The invention discloses an energy-saving optimization method for integration of melting, distribution and heat preservation parameters for aluminum die casting. The energy-saving optimization method comprises the following steps: (1) collecting various static parameters and coefficients required by an optimization model through a site or a test; (2) establishing a cost optimization model based on simulation, wherein the model aims at minimizing smelting furnace energy consumption, smelting furnace burning loss, transportation energy consumption, transportation manpower cost, heat preservation furnace energy consumption and production pause punishment comprehensive cost; and (3) searching an approximately optimal parameter combination by using a genetic algorithm, and for a given production plan, inputting plan parameters into the model, so that the parameter combination with approximately optimal cost can be quickly given. According to the method, the aluminum die-casting melting, distribution and heat preservation parameter combination with the lowest cost can be selected for a given die-casting production plan, and the manufacturing cost can be effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of energy-saving optimization of aluminum die-casting process, and in particular relates to an energy-saving optimization method for the integration of melting, distribution and heat preservation parameters of aluminum die-casting. Background technique [0002] Industry is the main body of carbon emissions, an important area for my country to achieve "carbon peaking in 2030" and "carbon neutrality in 2060", and is the primary target for current energy conservation and emission reduction. As an enabling technology for lightweight vehicles, the aluminum die-casting process has the characteristics of high energy consumption and high emissions, and it is urgent to carry out energy-saving and emission-reduction work. In the die-casting process, the melting and heat preservation process consumes a lot of energy (consuming about 50% of the total energy consumption), has low energy efficiency, and has a large energy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q50/04B22D17/00G06F119/08
CPCG06F30/20G06Q10/04G06Q50/04B22D17/00G06F2119/08Y02P90/30
Inventor 刘伟鹏彭涛胡罗克唐任仲
Owner ZHEJIANG UNIV
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