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A method for optimizing process parameter of plasma spray welding repair of a product

A technology for process parameter optimization and process parameter application in design optimization/simulation, electrical digital data processing, special data processing applications, etc.

Active Publication Date: 2019-01-11
HEFEI UNIV OF TECH
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Problems solved by technology

However, most of these studies focus on the energy consumption, quality, and thermal efficiency of the welding process, and seldom involve multi-objective optimization studies that comprehensively consider the energy consumption of the spray welding process and the process performance of repair parts.

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  • A method for optimizing process parameter of plasma spray welding repair of a product
  • A method for optimizing process parameter of plasma spray welding repair of a product
  • A method for optimizing process parameter of plasma spray welding repair of a product

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Embodiment Construction

[0049] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0050] A method for optimizing product plasma spray welding repair process parameters for high energy efficiency and high process performance. Include the following steps:

[0051] Step 1. Analyze the energy consumption characteristics and process performance of the plasma spray welding process to determine the goals that need to be optimized. The goals include the specific energy function that characterizes the energy utilization rate of plasma spray welding, and the process performance that characterizes the plasma spray welding repair parts. Vickers hardness, residual stress in heat-affected zone;

[0052] Step 2, using central composite design to conduct experiments to analyze the relationship between specific energy, Vickers hardness, residual stre...

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Abstract

A method for optimizing process parameter of plasma spray welding repair of a product includes such steps as analyzing energy consumption characteristic and process performance of plasma spray weldingprocess to determine target to be optimized, analyzing relationship among specific energy, Vickers hardness and residual stress in plasma spray welding process through experiments using central composite design, and obtaining the process parameter combinations under the optimal conditions of each target ; establishing a regression model was established based on a response surface methodology toperform multi-objective optimization of the process parameters and verify the reliability of the model; considering the actual constraints, obtaining the optimal solution set of the regression model by using non-dominated sorting genetic algorithm. The invention comprehensively considers the energy consumption of the spray welding process and the multi-objective optimization of the repairing parttechnological performance as the optimization objective, and discloses the relationship between the energy efficiency and the repairing part technological performance.

Description

technical field [0001] The invention relates to a method for optimizing a plasma spray welding repair process, in particular to a method for optimizing product plasma spray welding repair process parameters for high energy efficiency and high process performance. Background technique [0002] Plasma spray welding is a method of spraying and welding alloy powder on the surface of a metal substrate using a transferred plasma arc as the main heat source. With the rapid development of surface engineering and remanufacturing technology, the application of plasma spray welding is becoming more and more extensive; however, its processing process consumes a lot of energy and resources, and at the same time produces waste gas, waste residue, light radiation, etc., which violates the development of green industry law. Therefore, how to improve the energy efficiency and process performance of the plasma spray welding process has become a research hotspot in this field. [0003] Energ...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20G06F2119/06
Inventor 张雷吴学振阚欢迎宋豪达郑雨金志峰
Owner HEFEI UNIV OF TECH
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