HEAT TREATMENT SYSTEM
To provide a heat treatment system in which an induction heat treatment can be performed in accordance with the shape or the like of a work even by an unskilled person.SOLUTION: The control section includes an input section, a storage section, and a machine learning section. The storage section stor...
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| creator | WATANABE TETSUMASA INOUE MASAHIRO |
| description | To provide a heat treatment system in which an induction heat treatment can be performed in accordance with the shape or the like of a work even by an unskilled person.SOLUTION: The control section includes an input section, a storage section, and a machine learning section. The storage section stores previous heating parameters, data of a workpiece before and after the induction heating previously conducted based on the previous heating parameters, and data of heating coils in association with each other. When data of a workpiece before heating, data of the heating coil, and data of the workpiece after heating are input to the input section, the machine learning part determines heating parameters from the input data of the workpiece before and after the heating as well as the data of the heating coil on the basis of the relationship between the previous heating parameters stored in the storage section and the previous data of the workpiece before and after the heating conducted by using previous heating parameters as well as the previous data of the heating coil. An induction heating section performs induction heating on the workpiece based on the heating parameters.SELECTED DRAWING: Figure 4
【課題】本発明は、熟練者でなくても、ワークの形状等に合わせて誘導加熱処理が可能な熱処理システムを提供する。【解決手段】制御部は、入力部と、記憶部と、機械学習部を有し、記憶部は、過去の加熱パラメータと、過去の加熱パラメータに基づいて実施した誘導加熱における過去の加熱前後のワークの情報及び加熱コイルの情報を紐づけて記憶するものであり、入力部に加熱前のワークの情報、加熱コイルの情報、及び加熱後のワークの情報が入力されたときに、前記機械学習部が入力された加熱前後のワークの情報及び加熱コイルの情報から記憶部で記憶された過去の加熱パラメータと、過去の加熱パラメータで行った過去の加熱前後のワークの情報及び加熱コイルの情報の関係により、加熱パラメータを決定し、加熱パラメータに基づいて誘導加熱部がワークに誘導加熱を行う構成とする。【選択図】図４ |
| format | Patent |
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【課題】本発明は、熟練者でなくても、ワークの形状等に合わせて誘導加熱処理が可能な熱処理システムを提供する。【解決手段】制御部は、入力部と、記憶部と、機械学習部を有し、記憶部は、過去の加熱パラメータと、過去の加熱パラメータに基づいて実施した誘導加熱における過去の加熱前後のワークの情報及び加熱コイルの情報を紐づけて記憶するものであり、入力部に加熱前のワークの情報、加熱コイルの情報、及び加熱後のワークの情報が入力されたときに、前記機械学習部が入力された加熱前後のワークの情報及び加熱コイルの情報から記憶部で記憶された過去の加熱パラメータと、過去の加熱パラメータで行った過去の加熱前後のワークの情報及び加熱コイルの情報の関係により、加熱パラメータを決定し、加熱パラメータに基づいて誘導加熱部がワークに誘導加熱を行う構成とする。【選択図】図４</description><language>eng ; jpn</language><subject>CHEMISTRY ; ELECTRIC HEATING ; ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR ; ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR ; ELECTRICITY ; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUSMETALS OR ALLOYS ; MAKING METAL MALLEABLE BY DECARBURISATION, TEMPERING OR OTHERTREATMENTS ; METALLURGY ; METALLURGY OF IRON ; MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS</subject><creationdate>2019</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=20190829&DB=EPODOC&CC=JP&NR=2019143216A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190829&DB=EPODOC&CC=JP&NR=2019143216A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WATANABE TETSUMASA</creatorcontrib><creatorcontrib>INOUE MASAHIRO</creatorcontrib><title>HEAT TREATMENT SYSTEM</title><description>To provide a heat treatment system in which an induction heat treatment can be performed in accordance with the shape or the like of a work even by an unskilled person.SOLUTION: The control section includes an input section, a storage section, and a machine learning section. The storage section stores previous heating parameters, data of a workpiece before and after the induction heating previously conducted based on the previous heating parameters, and data of heating coils in association with each other. When data of a workpiece before heating, data of the heating coil, and data of the workpiece after heating are input to the input section, the machine learning part determines heating parameters from the input data of the workpiece before and after the heating as well as the data of the heating coil on the basis of the relationship between the previous heating parameters stored in the storage section and the previous data of the workpiece before and after the heating conducted by using previous heating parameters as well as the previous data of the heating coil. An induction heating section performs induction heating on the workpiece based on the heating parameters.SELECTED DRAWING: Figure 4
【課題】本発明は、熟練者でなくても、ワークの形状等に合わせて誘導加熱処理が可能な熱処理システムを提供する。【解決手段】制御部は、入力部と、記憶部と、機械学習部を有し、記憶部は、過去の加熱パラメータと、過去の加熱パラメータに基づいて実施した誘導加熱における過去の加熱前後のワークの情報及び加熱コイルの情報を紐づけて記憶するものであり、入力部に加熱前のワークの情報、加熱コイルの情報、及び加熱後のワークの情報が入力されたときに、前記機械学習部が入力された加熱前後のワークの情報及び加熱コイルの情報から記憶部で記憶された過去の加熱パラメータと、過去の加熱パラメータで行った過去の加熱前後のワークの情報及び加熱コイルの情報の関係により、加熱パラメータを決定し、加熱パラメータに基づいて誘導加熱部がワークに誘導加熱を行う構成とする。【選択図】図４</description><subject>CHEMISTRY</subject><subject>ELECTRIC HEATING</subject><subject>ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR</subject><subject>ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR</subject><subject>ELECTRICITY</subject><subject>GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUSMETALS OR ALLOYS</subject><subject>MAKING METAL MALLEABLE BY DECARBURISATION, TEMPERING OR OTHERTREATMENTS</subject><subject>METALLURGY</subject><subject>METALLURGY OF IRON</subject><subject>MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZBD1cHUMUQgJApK-rn4hCsGRwSGuvjwMrGmJOcWpvFCam0HJzTXE2UM3tSA_PrW4IDE5NS-1JN4rwMjA0NLQxNjI0MzRmChFANvaH2U</recordid><startdate>20190829</startdate><enddate>20190829</enddate><creator>WATANABE TETSUMASA</creator><creator>INOUE MASAHIRO</creator><scope>EVB</scope></search><sort><creationdate>20190829</creationdate><title>HEAT TREATMENT SYSTEM</title><author>WATANABE TETSUMASA ; INOUE MASAHIRO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2019143216A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2019</creationdate><topic>CHEMISTRY</topic><topic>ELECTRIC HEATING</topic><topic>ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR</topic><topic>ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR</topic><topic>ELECTRICITY</topic><topic>GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUSMETALS OR ALLOYS</topic><topic>MAKING METAL MALLEABLE BY DECARBURISATION, TEMPERING OR OTHERTREATMENTS</topic><topic>METALLURGY</topic><topic>METALLURGY OF IRON</topic><topic>MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS</topic><toplevel>online_resources</toplevel><creatorcontrib>WATANABE TETSUMASA</creatorcontrib><creatorcontrib>INOUE MASAHIRO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WATANABE TETSUMASA</au><au>INOUE MASAHIRO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>HEAT TREATMENT SYSTEM</title><date>2019-08-29</date><risdate>2019</risdate><abstract>To provide a heat treatment system in which an induction heat treatment can be performed in accordance with the shape or the like of a work even by an unskilled person.SOLUTION: The control section includes an input section, a storage section, and a machine learning section. The storage section stores previous heating parameters, data of a workpiece before and after the induction heating previously conducted based on the previous heating parameters, and data of heating coils in association with each other. When data of a workpiece before heating, data of the heating coil, and data of the workpiece after heating are input to the input section, the machine learning part determines heating parameters from the input data of the workpiece before and after the heating as well as the data of the heating coil on the basis of the relationship between the previous heating parameters stored in the storage section and the previous data of the workpiece before and after the heating conducted by using previous heating parameters as well as the previous data of the heating coil. An induction heating section performs induction heating on the workpiece based on the heating parameters.SELECTED DRAWING: Figure 4
【課題】本発明は、熟練者でなくても、ワークの形状等に合わせて誘導加熱処理が可能な熱処理システムを提供する。【解決手段】制御部は、入力部と、記憶部と、機械学習部を有し、記憶部は、過去の加熱パラメータと、過去の加熱パラメータに基づいて実施した誘導加熱における過去の加熱前後のワークの情報及び加熱コイルの情報を紐づけて記憶するものであり、入力部に加熱前のワークの情報、加熱コイルの情報、及び加熱後のワークの情報が入力されたときに、前記機械学習部が入力された加熱前後のワークの情報及び加熱コイルの情報から記憶部で記憶された過去の加熱パラメータと、過去の加熱パラメータで行った過去の加熱前後のワークの情報及び加熱コイルの情報の関係により、加熱パラメータを決定し、加熱パラメータに基づいて誘導加熱部がワークに誘導加熱を行う構成とする。【選択図】図４</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CHEMISTRY ELECTRIC HEATING ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR ELECTRICITY GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUSMETALS OR ALLOYS MAKING METAL MALLEABLE BY DECARBURISATION, TEMPERING OR OTHERTREATMENTS METALLURGY METALLURGY OF IRON MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS |
| title | HEAT TREATMENT SYSTEM |
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