Turning force prediction method based on cutting-tool angle and cutting amount parametric variation

A tool angle and prediction method technology, which is applied in the field of turning force prediction based on the change of tool angle and cutting parameters, can solve the problems of difficult prediction model, cutting experiment is not allowed, and large training time is spent

Inactive Publication Date: 2009-04-22
XIAN UNIV OF TECH
View PDF0 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the neural network model, the effectiveness of the model also depends on the topology of the neural network, and the higher the versatility, the lower the efficiency of training the neural network model, and it takes a lot of training time
[0009] To sum up, the existing turning force prediction methods require a large number of cutting experiments to obtain a turning force prediction model used within a certain range; The greater the amount of cutting experiments, the more di

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
  • Turning force prediction method based on cutting-tool angle and cutting amount parametric variation
  • Turning force prediction method based on cutting-tool angle and cutting amount parametric variation
  • Turning force prediction method based on cutting-tool angle and cutting amount parametric variation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] Using Kistler9257B dynamometer made in Switzerland, Kistler5070A charge amplifier and Kistler9403 tool post, the three-way turning force is recorded in real time through the computer turning force data acquisition system. Two freshly sharpened turning tools were used and dry cutting. Table 1 shows the tool geometry parameters of the two turning tools.

[0059] Table 1 Tool geometry parameters of two turning tools

[0060] Material front angle Leading angle Secondary declination Blade inclination Rear angle Knife No. 1 YT15 12° 45° 60° 6° 8° Knife No. 2 YT15 3° 83° 20° 0° 13°

[0061] (1) Take the No. 1 knife and install it on the tool holder. The selected cutting parameters are: spindle speed n=475r / min, feed f=0.16mm / r, cutting depth t=1.0mm; for the workpiece Carry out cutting, and get the three-way cutting force F through the dynamometer u , F v , F w The value of the three-way cutting force K is calculated accor...

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 discloses a method for predicting a turning force based on cutter angle and parameter variation of cutting data. The method comprises the following steps: using a dynamometer to measure a cutting force distributed along a coordinate axis of a coordinate system in one-time turning, calculating a three-way turning force coefficient of the cutting force in a converted coordinate system through converting the coordinate system, and calculating and obtaining the predicted turning force according to the factor of the cutting force, so as to achieve prediction of a three-way turning force for processing work pieces made from the same material and having the same heat treating state under the same cutting and lubricating conditions of the cutters made from the same material at any cutter angle parameter and cutting data parameter. The method for predicting the turning force needs little workload for cutting experiments, and the obtained cutting force models have wider application application, have predicting precision meeting actual demand, and are convenient to popularize and apply.

Description

technical field [0001] The invention belongs to the technical field of mechanical manufacturing, and relates to a method for predicting turning force, in particular to a method for predicting turning force based on changes in tool angle and cutting parameters. Background technique [0002] In the cutting process of parts, the cutting force not only has a great influence on the wear and durability of the tool and the surface quality of the machined parts, but also affects the performance and cutting efficiency of the machine tool. Therefore, the estimation of cutting force is of great significance for tool sharpening, reasonable selection of cutting parameters and machine tool design. [0003] Turning force is affected by many factors, such as tool angle, tool material, cutting amount conditions, cutting fluid, material to be processed and heat treatment conditions, etc. Among these influencing factors, some factors can be expressed quantitatively, and some factors can only b...

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
IPC IPC(8): B23Q17/09G01L5/16G06F17/50
Inventor 张广鹏刘军海李少英
Owner XIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap