Prediction and optimization control method of machining chatter mark defect of oil casing screw splicer

A technology of optimization control and thread processing, which is applied in the field of petroleum equipment manufacturing, can solve problems such as lack of avoidance measures and difficulty in finding the cause of chatter marks, and achieve the effect of improving accuracy and controlling occurrence probability

Active Publication Date: 2017-11-24
山东永利精工石油装备股份有限公司
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AI Technical Summary

Problems solved by technology

In the existing technology, repeated adjustment and optimization are often carried out through process trial and error, which makes it difficult to find the cause of chatter and lack of avoidance measures in engineering practice

Method used

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  • Prediction and optimization control method of machining chatter mark defect of oil casing screw splicer

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Embodiment Construction

[0023] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0024] A method for predicting and optimizing control of chatter marks in machined threaded joints of oil and casing pipes, which mainly includes the following steps:

[0025] 1. The user establishes a database of actual chatter marks in thread processing of oil and casing pipes, and inputs and continuously accumulates, updates and stores multiple sets of thread processing process parameters of different steel grades, specifications and thread types and the corresponding actual chatter marks data on the thread surface in the database; The processing parameter data include: pipe overhang length, inner support and floating support roller related to pipe sample rigidity, cutter bar diameter and overhang length related t...

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Abstract

The invention discloses a prediction and optimization control method of a machining chatter mark defect of an oil casing screw splicer and relates to the technical field of petroleum equipment manufacturing. According to the prediction and optimization control method of the machining chatter mark defect of the oil casing screw splicer, for rules and characteristics of screw machining chatter mark occurrence, on the basis of practical big data of the chatter mark occurrence situation, data mining, reliability analysis and optimization design theory methods are alternately applied, in particular, an improved K-means clustering algorithm is adopted to carry out data mining, an improved non-dominated sorting genetic algorithm is adopted to implement chatter mark defect control and optimization, and the prediction and optimization control method of the machining chatter mark defect of the oil casing screw splicer is provided; compared with the prior art, the prediction and optimization control method of the machining chatter mark defect of the oil casing screw splicer can improve the precision degree of oil casing screw machining chatter mark prediction, and effectively prevent chatter marks.

Description

technical field [0001] The invention relates to the technical field of petroleum equipment manufacturing, in particular to a method for predicting and optimizing control of flutter defects in machined threaded joints of oil and casing pipes. Background technique [0002] Oil and gas well tubing strings are made up of a large number of individual oil and casing pipes connected by threads, and the number of oil and gas casing threads in a single oil and gas well is often thousands. The thread is an important link to ensure the service structure and sealing integrity of the pipe string under the combined load conditions of downhole tension, compression, bending, torsion, internal / external pressure, etc., and it is also the weakest link (according to incomplete statistics, the downhole pipe string structure and About 70% of seal integrity failures occur in threaded sections). The harsh service environment and extremely high safety and reliability indicators of threads put forwa...

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Application Information

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IPC IPC(8): G06F17/50G06Q10/04G06Q50/04
CPCG06F30/17G06F2119/18G06Q10/04G06Q50/04Y02P90/30
Inventor 刘东昌王凯丁成立王云涛
Owner 山东永利精工石油装备股份有限公司
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