A Tool Life Prediction Method Based on Small Samples and Multiple Types of Parameters
A tool life and prediction method technology, applied in prediction, data processing applications, calculations, etc., can solve the problems that the main factors cannot be determined, and the impact of tool life cannot be distinguished.
Inactive Publication Date: 2017-06-16
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] In the prior art, the Taylor formula is used to calculate the tool life. The Taylor formula is a widely used empirical formula for tool life prediction obtained on the basis of a large number of experiments. The impact of tool life has been strictly and carefully studied, and the impact of other parameters on tool life cannot be distinguished, so it is impossible to determine the main factors that affect or determine tool life
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0026] The above and other technical features and advantages of the present invention will be described in more detail below in conjunction with the accompanying drawings.
[0027] The present invention is based on a tool life prediction method with small samples and multiple types of parameters. The number of tests required to obtain the tool life prediction model is relatively small, which belongs to small sample tests. Through relatively few experiments combined with the design, manufacture and use of tools The impact of parameters on tool life can predict tool life, and it is very convenient to grasp the processing performance of new processing materials and new tool materials.
[0028] see figure 1 As shown, it is a flowchart of the tool life prediction method based on small sample multi-type parameters of the present invention, the process is:
[0029] Step a, determining multi-type tool parameters; parameters xi, i=1, 2, ..., p that affect tool life in tool life predic...
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
Login to View More Abstract
The invention relates to a cutter service life prediction method based on small sample multi-type parameters. The method comprises the steps of determining multi-type cutter parameters, executing the parameters xi, i=1,2,..., p which affect the service life of a cutter in the process of predicting the service life of the cutter, obtaining small sample cutter service life experiment data, determining each parameter value in the steps, finishing a cutter service life cutting experiment to obtain small sample cutter service value under a cutter parameter combination, building a dynamic prediction model, determining a new prediction model iterative direction according to the mean square error, the prediction square and PRESS of the prediction module obtained each time, obtaining a better prediction module by adopting corresponding iterative parameters, finishing the iterative process of the prediction model until the variation error of the service life of the cutter is in a set range, and obtaining the final cutter service life prediction module. The cutter service life prediction method based on the small sample multi-type parameters takes the influence on the service of the cutter from the parameters in the design, manufacturing and use processes of the cutter into account, thereby obtaining the more accurate cutter service life prediction module and better providing basic guarantee data for production.
Description
technical field [0001] The invention relates to the field of tool life prediction, in particular to a tool life prediction method based on small samples and multiple types of parameters. Background technique [0002] Tool life, as an important parameter to determine the cost and effect of machining, has always been a research focus and hot spot in machining research. [0003] In the prior art, the Taylor formula is used to calculate the tool life. The Taylor formula is a widely used empirical formula for tool life prediction obtained on the basis of a large number of experiments. The impact of tool life has been strictly and carefully studied, and the impact of other parameters on tool life cannot be distinguished, so it is impossible to determine the main factors that affect or determine tool life. [0004] In view of the above-mentioned defects, the author of the present invention has finally obtained this creation through long-term research and practice. Contents of th...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04
Inventor 郭宏闫献国李建伟
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY