Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Waste machine tool key part residual life prediction and evaluation method

A technology of life prediction and waste, which is applied in prediction, computer-aided design, instruments, etc., can solve the problems of inaccurate calculation of remaining life and insufficient precision of mathematical models, etc., and achieve the effect of accurate prediction and evaluation results, accurate prediction, and guaranteed accuracy

Pending Publication Date: 2020-11-13
SHENYANG POLYTECHNIC UNIV
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting and evaluating the remaining life of key parts of waste machine tools, and its purpose is to solve the problem that the accuracy of the mathematical model in the method of predicting and evaluating the remaining life of key parts of waste machine tools is not enough, and the calculation of the remaining life is not accurate enough

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Waste machine tool key part residual life prediction and evaluation method
  • Waste machine tool key part residual life prediction and evaluation method
  • Waste machine tool key part residual life prediction and evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0052] The present invention takes the main shaft of machine tool CAK5085 as the research object.

[0053] (1) Construct the residual life prediction model of the waste spindle

[0054] ①The nonlinear continuous fatigue damage model of the waste spindle:

[0055] Taking the nonlinear continuous fatigue cumulative damage model proposed by CHABOCHE as the core, the discontinuous fatigue damage model of the waste spindle is constructed:

[0056] The form of the nonlinear continuous fatigue cumulative damage model proposed by CHABOCHE is as follows:

[0057] dD=f(σ max ,σ m ,D)dN (1.1)

[0058] where D, N, σ max , σ m are the damage variable, the number of load actions, the maximum stress and the mean stress, respectively.

[0059] CHABOCHE suggested using formula (1.2) to express the relationship between damage and the numb...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for predicting and evaluating the residual life of key parts of a waste machine tool and belongs to the technical field of green remanufacturing systems. According tothe method for predicting and evaluating the residual life of the key part of the waste machine tool, a main failure form of the key part of the machine tool is considered to be fatigue fracture failure, and a continuous fatigue damage model based on fracture mechanics is adopted to predict the life of the waste part so that remanufacturability is determined. The research model better conforms tothe actual working condition so that the prediction and evaluation result is more accurate, precision of predicting and evaluating the main shaft key part model is ensured, residual life calculationaccuracy of the model is ensured, and precision of predicting and evaluating spindle key part models is ensured, meanwhile, data of the secondary load loading fatigue test are compared with the calculation result of the model, and accuracy, effectiveness and feasibility of the corrected model are verified; practice proves that prediction precision of the residual life prediction and evaluation method can meet the actual engineering requirement of waste part remanufacturability evaluation.

Description

technical field [0001] The invention relates to a key process technology and application demonstration of green remanufacturing of machine tools, in particular to a method for predicting and evaluating the remaining life of key parts of waste machine tools, which belongs to the technical field of green remanufacturing systems. Background technique [0002] Compared with traditional manufacturing, remanufactured blanks are waste parts. Due to the great uncertainty of the original process, quality and service conditions, the remanufacturability varies greatly. Therefore, the remanufacturability evaluation of waste parts It is a prerequisite for remanufacturing. The remaining life prediction and evaluation of waste parts is the key to remanufacturability evaluation. Among them, the existing prediction model is based on the S-N curve of the base material, rather than the fatigue life curve of the actual part. The commonly used models based on fracture mechanics consider that cr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06Q10/04G06Q50/04G06F119/04
CPCG06Q10/04G06Q50/04Y02P90/30
Inventor 姜兴宇石敏煊杨国哲张凯刘伟军杨世奇王子生
Owner SHENYANG POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products