Cutter state monitoring method
The invention discloses a cutter state monitoring method, which comprises the following steps of: firstly, processing a material for multiple times by using a group of constant cutting parameters, dividing a cutter wear stage, determining a blunt grinding standard of a cutter, performing mechanism a...
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| creator | ZHANG QUANJIAN LI ZHE YANG SURUI QIN XIAOBO TIAN SHENG |
| description | The invention discloses a cutter state monitoring method, which comprises the following steps of: firstly, processing a material for multiple times by using a group of constant cutting parameters, dividing a cutter wear stage, determining a blunt grinding standard of a cutter, performing mechanism analysis on cutter wear, and determining main physical quantity factors influencing the cutter wear; secondly, cutter wear experiments under different cutting parameters are designed, signals of main physical quantity factors are collected, and the cutter wear loss after feeding each time is measured; thirdly, the collected signals are processed; and finally, a BP neural network is used for establishing a tool wear loss prediction model, a multi-granularity scanning cascade forest method is used for establishing a tool wear stage identification model, and the tool state is monitored.
本发明公开了一种刀具状态监测方法，首先用一组恒定的切削参数对材料进行多次加工，划分刀具磨损阶段并确定刀具的磨钝标准，对刀具磨损进行机理分析，确定影响刀具磨损的主要物理量因素；其次设计不同切削参数下的刀具磨损实验，采集主要物理量因素的信号并测量每次走刀后的刀具磨损量；再 |
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本发明公开了一种刀具状态监测方法，首先用一组恒定的切削参数对材料进行多次加工，划分刀具磨损阶段并确定刀具的磨钝标准，对刀具磨损进行机理分析，确定影响刀具磨损的主要物理量因素；其次设计不同切削参数下的刀具磨损实验，采集主要物理量因素的信号并测量每次走刀后的刀具磨损量；再</description><language>chi ; eng</language><subject>COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOTDIRECTED TO A PARTICULAR RESULT ; DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g.ARRANGEMENTS FOR COPYING OR CONTROLLING ; MACHINE TOOLS ; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OFPARTICULAR DETAILS OR COMPONENTS ; METAL-WORKING NOT OTHERWISE PROVIDED FOR ; PERFORMING OPERATIONS ; TRANSPORTING</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220812&DB=EPODOC&CC=CN&NR=114888635A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220812&DB=EPODOC&CC=CN&NR=114888635A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG QUANJIAN</creatorcontrib><creatorcontrib>LI ZHE</creatorcontrib><creatorcontrib>YANG SURUI</creatorcontrib><creatorcontrib>QIN XIAOBO</creatorcontrib><creatorcontrib>TIAN SHENG</creatorcontrib><title>Cutter state monitoring method</title><description>The invention discloses a cutter state monitoring method, which comprises the following steps of: firstly, processing a material for multiple times by using a group of constant cutting parameters, dividing a cutter wear stage, determining a blunt grinding standard of a cutter, performing mechanism analysis on cutter wear, and determining main physical quantity factors influencing the cutter wear; secondly, cutter wear experiments under different cutting parameters are designed, signals of main physical quantity factors are collected, and the cutter wear loss after feeding each time is measured; thirdly, the collected signals are processed; and finally, a BP neural network is used for establishing a tool wear loss prediction model, a multi-granularity scanning cascade forest method is used for establishing a tool wear stage identification model, and the tool state is monitored.
本发明公开了一种刀具状态监测方法，首先用一组恒定的切削参数对材料进行多次加工，划分刀具磨损阶段并确定刀具的磨钝标准，对刀具磨损进行机理分析，确定影响刀具磨损的主要物理量因素；其次设计不同切削参数下的刀具磨损实验，采集主要物理量因素的信号并测量每次走刀后的刀具磨损量；再</description><subject>COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOTDIRECTED TO A PARTICULAR RESULT</subject><subject>DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g.ARRANGEMENTS FOR COPYING OR CONTROLLING</subject><subject>MACHINE TOOLS</subject><subject>MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OFPARTICULAR DETAILS OR COMPONENTS</subject><subject>METAL-WORKING NOT OTHERWISE PROVIDED FOR</subject><subject>PERFORMING OPERATIONS</subject><subject>TRANSPORTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJBzLi0pSS1SKC5JLElVyM3PyyzJL8rMS1fITS3JyE_hYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxzn6GhiYWFhZmxqaOxsSoAQAWrSTc</recordid><startdate>20220812</startdate><enddate>20220812</enddate><creator>ZHANG QUANJIAN</creator><creator>LI ZHE</creator><creator>YANG SURUI</creator><creator>QIN XIAOBO</creator><creator>TIAN SHENG</creator><scope>EVB</scope></search><sort><creationdate>20220812</creationdate><title>Cutter state monitoring method</title><author>ZHANG QUANJIAN ; LI ZHE ; YANG SURUI ; QIN XIAOBO ; TIAN SHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114888635A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOTDIRECTED TO A PARTICULAR RESULT</topic><topic>DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g.ARRANGEMENTS FOR COPYING OR CONTROLLING</topic><topic>MACHINE TOOLS</topic><topic>MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OFPARTICULAR DETAILS OR COMPONENTS</topic><topic>METAL-WORKING NOT OTHERWISE PROVIDED FOR</topic><topic>PERFORMING OPERATIONS</topic><topic>TRANSPORTING</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG QUANJIAN</creatorcontrib><creatorcontrib>LI ZHE</creatorcontrib><creatorcontrib>YANG SURUI</creatorcontrib><creatorcontrib>QIN XIAOBO</creatorcontrib><creatorcontrib>TIAN SHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG QUANJIAN</au><au>LI ZHE</au><au>YANG SURUI</au><au>QIN XIAOBO</au><au>TIAN SHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Cutter state monitoring method</title><date>2022-08-12</date><risdate>2022</risdate><abstract>The invention discloses a cutter state monitoring method, which comprises the following steps of: firstly, processing a material for multiple times by using a group of constant cutting parameters, dividing a cutter wear stage, determining a blunt grinding standard of a cutter, performing mechanism analysis on cutter wear, and determining main physical quantity factors influencing the cutter wear; secondly, cutter wear experiments under different cutting parameters are designed, signals of main physical quantity factors are collected, and the cutter wear loss after feeding each time is measured; thirdly, the collected signals are processed; and finally, a BP neural network is used for establishing a tool wear loss prediction model, a multi-granularity scanning cascade forest method is used for establishing a tool wear stage identification model, and the tool state is monitored.
本发明公开了一种刀具状态监测方法，首先用一组恒定的切削参数对材料进行多次加工，划分刀具磨损阶段并确定刀具的磨钝标准，对刀具磨损进行机理分析，确定影响刀具磨损的主要物理量因素；其次设计不同切削参数下的刀具磨损实验，采集主要物理量因素的信号并测量每次走刀后的刀具磨损量；再</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOTDIRECTED TO A PARTICULAR RESULT DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g.ARRANGEMENTS FOR COPYING OR CONTROLLING MACHINE TOOLS MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OFPARTICULAR DETAILS OR COMPONENTS METAL-WORKING NOT OTHERWISE PROVIDED FOR PERFORMING OPERATIONS TRANSPORTING |
| title | Cutter state monitoring method |
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