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An intelligent monitoring system and decision-making method for grinding power and energy consumption

An intelligent monitoring system and grinding power technology, applied in machining monitoring system, grinding power and energy consumption intelligent monitoring system and decision-making field, can solve the problem that grinding input parameters cannot be effectively established to monitor power data and grinding output results Feature mapping relationship, no monitoring database, data processing, analysis and decision-making, etc., to achieve good economic and social benefits, and solve the effect of high energy consumption

Active Publication Date: 2019-05-24
SHANDONG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The currently developed grinding power monitoring system basically stays in the simple monitoring and display of a single signal and data in response to time, and cannot effectively establish the characteristics of the grinding input parameters, monitoring power data and grinding output results. Mapping relationship, no monitoring database and data processing, analysis and decision-making functions

Method used

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  • An intelligent monitoring system and decision-making method for grinding power and energy consumption
  • An intelligent monitoring system and decision-making method for grinding power and energy consumption

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specific Embodiment approach 1

[0022] Specific implementation mode 1: combined with figure 1, detailing the invented intelligent monitoring system for grinding power and energy consumption, which is characterized in that it includes a hardware system-1 and a software system-2. The hardware system-1 includes a spindle power detection device and a data acquisition card; the software system-2 includes a data acquisition module, a data processing and analysis module, a data calculation module, a grinding knowledge base, a large shared grinding database, and expert decision-making module, function module. The spindle power detection device is used to detect the instantaneous power of the grinding machine spindle, and transmits the spindle power detection signal to the data acquisition card; the data acquisition card is used to collect the power sensor measurement signal, and convert the analog signal into a digital signal, and pass the data The interface is transmitted to the computer; the data acquisition modu...

specific Embodiment approach 2

[0023] Specific Embodiment 2: Combining figure 1 and figure 2 , a detailed method for intelligent monitoring of grinding power and energy consumption invented, including the following steps:

[0024] Step 1: Connect the invented grinding power and energy consumption intelligent monitoring system with the grinding machine spindle drive motor;

[0025] Step 2: Set grinding input parameters for the grinding machine, such as: grinding tool speed, feed speed, grinding depth, grinding allowance, grinding tool dressing amount, dressing speed, dressing cycle, dressing feed rate;

[0026] Step 3: Match the current grinding input parameters, the required grinding results with the grinding knowledge base and the grinding examples and data in the cloud grinding large database, and use cloud computing and big data analysis modern information technology to obtain the current grinding The lower limit of the power threshold of grinding processing under the input parameters of grinding P 1...

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Abstract

The invention discloses a grinding power and energy consumption intelligent monitoring system and a decision-making method, belonging to the technical field of machine tool monitoring. Aiming at the current actual grinding process practice, mainly through the experience of looking at the grinding sparks and listening to the grinding sound to judge the grinding state, set and adjust the grinding parameters, an intelligent grinding power and energy consumption is invented. Monitoring software and hardware systems, big data analysis and decision-making systems and methods, to achieve real-time monitoring and analysis of power and energy consumption during the grinding process, with performance comparison and analysis of grinding machines, grinding tools, working fluids, and grinding processing strategies and processes Parameter optimization function. By comparing the real-time grinding power with the lower limit of the critical power threshold P 1 and upper limit P 2 The relationship between the size and size of the grinding machine can be judged, and the effective analysis and prediction of grinding overload, grinding tool passivation, and grinding burn can be realized. The invention can be applied to abrasive materials, abrasive tools and grinding-related manufacturing industries to promote the realization of high efficiency, low energy consumption and intelligent production.

Description

technical field [0001] The invention relates to a machining monitoring system and method, in particular to a grinding power and energy consumption intelligent monitoring system and a decision-making method, belonging to the technical field of machine tool monitoring. Background technique [0002] Grinding technology can obtain high surface quality and machining accuracy efficiently and at low cost, and has been widely used in industrial fields such as aerospace, automobiles, ships, precision instruments, nuclear energy, optoelectronics, and semiconductors. At present, grinding accounts for about 70% of the precision manufacturing field, and is one of the most important pillar processing technologies. However, due to the uneven wear of a large number of irregular abrasive grains on the surface of the abrasive tool, grinding is a complex and extremely unstable process. Influenced by other factors, it is difficult to precisely control the grinding quality and processing effici...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B24B49/16B24B49/00G06F17/50G01L3/24
CPCB24B49/00B24B49/16G01L3/24G06F30/17G06F30/20G06F2117/08G06F2119/18
Inventor 田业冰范硕李琳光程祥吕哲李学伟
Owner SHANDONG UNIV OF TECH
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