JPH0541388B2 - - Google Patents
Info
- Publication number
- JPH0541388B2 JPH0541388B2 JP60203189A JP20318985A JPH0541388B2 JP H0541388 B2 JPH0541388 B2 JP H0541388B2 JP 60203189 A JP60203189 A JP 60203189A JP 20318985 A JP20318985 A JP 20318985A JP H0541388 B2 JPH0541388 B2 JP H0541388B2
- Authority
- JP
- Japan
- Prior art keywords
- grinding
- flaw
- grinder
- robot
- range
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
- 239000007769 metal material Substances 0.000 claims description 24
- 239000002184 metal Substances 0.000 claims description 8
- 229910000831 Steel Inorganic materials 0.000 description 6
- 239000010959 steel Substances 0.000 description 6
- 238000001514 detection method Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000005520 cutting process Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 201000010001 Silicosis Diseases 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000009749 continuous casting Methods 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000005802 health problem Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Landscapes
- Constituent Portions Of Griding Lathes, Driving, Sensing And Control (AREA)
- Finish Polishing, Edge Sharpening, And Grinding By Specific Grinding Devices (AREA)
Description
【発明の詳細な説明】
〔産業上の利用分野〕
本発明は、鋼材等の金属材表面疵の自動研削装
置に関する。DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to an automatic grinding device for removing surface flaws in metal materials such as steel materials.
たとえば分塊圧延或いは連続鋳造によつて得ら
れるブルーム,ビレツト,スラブ等の鋼片には表
面疵が発生することがある。この表面疵を放置し
た場合はこれらの鋼片素材とし、圧延して得られ
る各種鋼材の欠陥に直結するため、鋼片段階で除
去する必要がある。
For example, surface flaws may occur in steel pieces such as blooms, billets, and slabs obtained by blooming or continuous casting. If these surface flaws are left untreated, they will directly lead to defects in the various steel products obtained by rolling these steel billet materials, so they must be removed at the billet stage.
従来、鋼片の表面疵の除去は、スカーフイン
グ,グラインダ等によつて行うのが一般的であ
り、たとえば特開昭58−82667号公報に記載され
た装置があるが、多くは手作業によるところが少
なくない。このために、研削作業時の切粉の飛散
や砥石割れ等による災害、切粉の込みによる珪肺
等の疾病、さらに作業員雇用によるコスト等の問
題があつた。 Conventionally, surface flaws on steel slabs have generally been removed by scarfing, grinding, etc., for example, there is a device described in Japanese Patent Application Laid-open No. 58-82667, but in most cases it has been done manually. However, there are quite a few. This has led to problems such as accidents caused by scattering of chips and cracking of the grindstone during grinding operations, diseases such as silicosis due to the inclusion of chips, and costs associated with hiring workers.
この問題を解決するものとして、たとえば特開
昭59−187485号公報の発明のような研削ロボツト
の適用も考えられるが、これだけでは次のような
問題が残る。 As a solution to this problem, it may be possible to apply a grinding robot such as the invention disclosed in Japanese Patent Application Laid-Open No. 59-187485, but this alone leaves the following problems.
即ち、座標軸指定により移動する汎用ロボツト
では、比較的定形的なバリ研削に適用できても、
広範囲に発生する様々な鋼材等の表面疵や砥石の
摩耗の変化に追従できない。ロボツトの位置決め
精度が研削精度よりも粗いため、一定した研削が
行われ難い。また、疵取り結果の評価機能が充分
でないため、金属材表面疵の自動研削装置として
は充分なものとは言い難い。 In other words, although a general-purpose robot that moves by specifying coordinate axes can be applied to relatively regular burr grinding,
It is not possible to follow changes in the surface flaws of various steel materials and wear of the grindstone that occur over a wide range of areas. Since the positioning accuracy of the robot is lower than the grinding accuracy, it is difficult to perform consistent grinding. Furthermore, since the evaluation function for the flaw removal results is not sufficient, it is difficult to say that the system is sufficient as an automatic grinding device for flaws on the surface of metal materials.
本発明は、このような汎用ロボツトを使用する
際に生じる問題を解消したものであり、表面疵の
形状,大きさ,発生位置,砥石の摩耗等の状況変
化が生じても研削機構がその変化に追従できるよ
うに検出,研削,研削評価,追加研削,作動機構
を組合せることにより、研削作業の精度向上,省
力化,安全性向上,健康障害防止等を図るもので
ある。
The present invention solves the problems that occur when using such a general-purpose robot, and the grinding mechanism is capable of handling changes even if conditions such as the shape, size, location of surface flaws, and wear of the grinding wheel occur. By combining detection, grinding, grinding evaluation, additional grinding, and actuation mechanisms so that they can follow the grinding process, the aim is to improve the accuracy of grinding work, save labor, improve safety, and prevent health problems.
(問題点を解決するための手段)
本発明は、先端部に疵研削後の残留疵検出器と
疵研削グラインダと金属表面に対するグラインダ
砥石の接触度検出器を装着しており、所定の範囲
内で移動、昇降自在なハンド部を備えた研削ロボ
ツトと、このロボツトのハンド部の移動範囲を捕
捉できる位置に設けられたカメラと、このカメラ
による画像を処理して、ロボツトのハンド部の移
動範囲内に配置された金属材の表面疵を検出する
画像処理装置と、この画像処理装置からの座標値
に基づく疵の位置信号および疵研削後の疵検出器
からの疵残留位置信号、グラインダ砥石接触度検
出器からの砥石接触度信号により、グラインダ砥
石による金属材表面に対する研削範囲とグライン
ダ砥石の金属材表面への接触度を演算する演算処
理装置と、この演算処理装置からの信号により研
削ロボツトのハンド部の移動、昇降各部の動作を
制御して、グラインダの研削範囲とグラインダ砥
石による金属材表面疵部に対する切込量を制御す
るロボツト制御装置とを備えたことを特徴とす
る。(Means for Solving the Problems) The present invention is equipped with a residual flaw detector after flaw grinding, a flaw grinding grinder, and a contact degree detector of the grinder whetstone against the metal surface at the tip, and within a predetermined range. A grinding robot equipped with a hand that can be moved and raised and lowered, a camera installed at a position that can capture the range of movement of the robot's hand, and a camera that processes images taken by this camera to determine the range of movement of the robot's hand. an image processing device that detects surface flaws on a metal material placed in the interior, a flaw position signal based on coordinate values from this image processing device, a flaw remaining position signal from a flaw detector after flaw grinding, and grinder grinding wheel contact. A processing unit that calculates the grinding range of the grinder wheel on the metal surface and the degree of contact of the grinder wheel with the metal surface based on the grinding wheel contact level signal from the degree detector, and a processing unit that calculates the grinding range of the grinder wheel on the metal surface and the degree of contact of the grinder wheel with the metal surface; The present invention is characterized by comprising a robot control device that controls the movement of the hand section and the operations of the various parts up and down to control the grinding range of the grinder and the amount of cut into the surface flaws of the metal material by the grinder whetstone.
上記構成によつてグラインダの作動を金属材の
表面部疵の形状,大きさ,発生位置,砥石の摩耗
等の状況変化に応じて制御できる。
With the above configuration, the operation of the grinder can be controlled in accordance with changes in conditions such as the shape, size, and location of surface flaws on the metal material, wear of the grindstone, and the like.
以下、本発明の一実施例を図面により説明す
る。
An embodiment of the present invention will be described below with reference to the drawings.
第1図は本発明の全体を構成するシステムを示
す。 FIG. 1 shows a system that constitutes the entirety of the present invention.
1は研削ロボツトで、この研削ロボツト1には
アーム基部2が回転自在に装着されており、この
アーム基部2には、支承体3を介してアーム4が
回転自在に支承され、更にこのアーム4には支持
ピン5を介して先端アーム6が回動自在に連結さ
れている。そして、先端アーム6の先端には、支
承ピン7を介してハンド部8が回動自在に懸吊さ
れている。このハンド部8の下部には、疵検出器
9とグラインダ10が設けられており、このグラ
インダ10の砥石11の回転軸12を支承する支
持体13の取付部14には、砥石11と金属材S
表面との接触度を検出する歪ゲージ15が取り付
けられている。16は金属材Sの表面を撮影する
カメラを備え、このカメラによる画像を処理して
疵の位置,形状(大きさ)を検出する画像処理装
置であり、カメラは研削ロボツトの動作範囲と研
削作業床上における金属材S表面全体を捕捉でき
る位置に配設されている。 Reference numeral 1 designates a grinding robot. An arm base 2 is rotatably mounted on the grinding robot 1. An arm 4 is rotatably supported on the arm base 2 via a support 3. A distal arm 6 is rotatably connected to the distal end arm 6 via a support pin 5. A hand portion 8 is rotatably suspended from the tip of the tip arm 6 via a support pin 7. A flaw detector 9 and a grinder 10 are provided at the lower part of the hand portion 8, and a mounting portion 14 of a support 13 that supports the rotating shaft 12 of the whetstone 11 of the grinder 10 is provided with a flaw detector 9 and a metal material. S
A strain gauge 15 is attached to detect the degree of contact with the surface. 16 is an image processing device equipped with a camera that photographs the surface of the metal material S, and processes the image taken by this camera to detect the position and shape (size) of a flaw.The camera detects the operating range of the grinding robot and the grinding work. It is arranged at a position where the entire surface of the metal material S on the floor can be captured.
画像処理装置16は、カメラによる画像を金属
材表面の各位置に対応して各位置における表面疵
を疵のない部分と識別・検出できるようになつて
おり、この表面疵の位置,形状,大きさ等が検出
できるようになつている。 The image processing device 16 is configured to be able to identify and detect surface flaws at each position from areas without flaws by processing images taken by a camera in correspondence to each position on the surface of the metal material, and to identify the position, shape, and size of the surface flaw. It is now possible to detect the height.
この画像処理装置16からの画像処理信号には
金属材表面各位置に対応する位置信号に含まれて
おり、これらの信号は、疵検出器9からの研削後
の疵残留信号、接触度検出信号(歪みゲージ)1
1からのグラインダ砥石接触度信号と共に演算処
理装置17に送られ、ここで表面疵の位置,形状
(大きさ)に応じて所要のグラインダの研削動作
範囲が演算され、併せて所要のグラインダ砥石1
1の金属材S表面疵に対する接触度、すなわち切
込量が演算される。そして、この演算処理信号は
研削ロボツト1各部の動作を制御する駆動制御装
置18に駆動指示信号として送られグラインダが
所要の範囲において所要の接触度で作動し、金属
材S表面疵を自動的に研削するようになつてい
る。19は金属材Sを所定位置に搬送する搬送ロ
ーラ、20は位置決めストツパーである。 The image processing signal from the image processing device 16 includes position signals corresponding to each position on the surface of the metal material, and these signals include a residual flaw signal after grinding and a contact degree detection signal from the flaw detector 9. (strain gauge) 1
It is sent to the arithmetic processing unit 17 together with the grinder grindstone contact degree signal from the grinder grinder 1, where the required grinding operation range of the grinder is calculated according to the position and shape (size) of the surface flaw.
The degree of contact with the surface flaw of the first metal material S, that is, the depth of cut is calculated. Then, this arithmetic processing signal is sent as a drive instruction signal to the drive control device 18 that controls the operation of each part of the grinding robot 1, and the grinder operates in the required range with the required degree of contact to automatically remove the surface flaws on the metal material S. It's starting to grind. 19 is a conveyance roller that conveys the metal material S to a predetermined position, and 20 is a positioning stopper.
つぎに、研削手順について説明する。 Next, the grinding procedure will be explained.
金属材Sを搬送ローラ19によつて研削ロボツ
ト1近傍の所定位置まで搬送し、ストツパー20
により位置決めし、自動研削を開始する。 The metal material S is conveyed by the conveyance roller 19 to a predetermined position near the grinding robot 1, and the stopper 20
position and start automatic grinding.
まず、画像処理装置16のカメラによつて金属
材Sを撮影して、この画像信号を処理して金属材
の表面疵の形状,大きさ,位置を検出し、この位
置に対応する認識番号(座標値)を演算処理装置
17に送り、これを合成して(座標値合成)、表
面疵の位置,形状,大きさを求め、この疵の形
状,大きさに応じて研削ロボツト1の作動パター
ン、すなわち、研削方向,範囲等を演算して駆動
制御装置18に作動パターンを指示し、駆動装置
を作動して研削ロボツト1を作動し、ハンド部8
を移動する。 First, the metal material S is photographed by the camera of the image processing device 16, and this image signal is processed to detect the shape, size, and position of the surface flaw on the metal material, and the recognition number ( The coordinate values) are sent to the arithmetic processing unit 17, which is synthesized (coordinate value synthesis) to determine the position, shape, and size of the surface flaw, and the operation pattern of the grinding robot 1 is determined according to the shape and size of the flaw. That is, the grinding direction, range, etc. are calculated, the operation pattern is instructed to the drive control device 18, the drive device is operated to operate the grinding robot 1, and the hand section 8 is operated.
move.
そして、このハンド部8の疵検出器9,グライ
ンダ10が所定の位置に移動し、グラインダ10
が始動して、グラインダ10の砥石が金属材Sの
表面に接触するまで更にハンド部8を降下させ
る。この際、歪ゲージ15により反力を検出する
ことによつて、砥石11と金属材S表面との接触
度を検出し、予め設定した研削切り込み量に対応
する値になつたとき、ハンド部8の降下を停止
し、前記研削切り込み量を確保し、研削ロボツト
1を前記表面疵の位置,大きさに対応する作動パ
ターンで移動させて所定範囲にある表面疵の研削
作業を行う。この移動の際、過流センサによる疵
検出器9によつて疵取り結果を評価し、表面疵切
削が不完全な場合、研削ロボツトの作動パターン
を修正し研削作業を繰り返すようになつている。 Then, the flaw detector 9 and the grinder 10 of this hand section 8 move to predetermined positions, and the grinder 10 moves to a predetermined position.
is started, and the hand portion 8 is further lowered until the grindstone of the grinder 10 comes into contact with the surface of the metal material S. At this time, the degree of contact between the grinding wheel 11 and the surface of the metal material S is detected by detecting the reaction force using the strain gauge 15, and when the degree of contact between the grinding wheel 11 and the surface of the metal material S reaches a value corresponding to the preset grinding depth of cut, the hand portion 8 The grinding robot 1 is then moved in an operation pattern corresponding to the position and size of the surface flaw to perform grinding work on the surface flaw within a predetermined range. During this movement, the flaw removal result is evaluated by a flaw detector 9 using an overcurrent sensor, and if surface flaw cutting is incomplete, the operation pattern of the grinding robot is corrected and the grinding work is repeated.
また、砥石と金属材S表面との接触度は歪ゲー
ジ15による反力値によつて検出するようにした
が、たとえばグラインダ駆動電流,トルク監視,
加速度計,振動集音マイクによる接触音検出によ
つて検出するようにしてもよい。また、グライン
ダによる研削切り込み量は定量にしてもよいが、
ある程度調節することによつて切削効率を上げる
ことができる。 Further, the degree of contact between the grinding wheel and the surface of the metal material S is detected by the reaction force value by the strain gauge 15, but for example, by monitoring the grinder drive current, torque, etc.
Detection may also be performed by contact sound detection using an accelerometer or a vibration sound collecting microphone. Also, the amount of cutting by the grinder may be fixed, but
Cutting efficiency can be increased by adjusting it to some extent.
以上に述べたように、本発明によれば、金属材
の表面疵研削作業が自動化される。したがつて、
手作業の場合の災害,疾病,コスト等の種々の問
題が解消でき、研削精度,効率を向上させること
ができる。
As described above, according to the present invention, the work of grinding surface flaws on a metal material is automated. Therefore,
Various problems such as accidents, illnesses, and costs associated with manual work can be solved, and grinding accuracy and efficiency can be improved.
第1図は、本発明の一実施例装置の全体構成説
明図である。
1:研削ロボツト、2:アーム基台、3:支承
体、4:アーム、5:指示ピン、6:先端アー
ム、7:支承ピン、8:ハンド部、9:疵検出
器、10:グラインダ、11:砥石、12:回転
軸、13:支持体、14:取付部、15:歪みゲ
ージ、16:画像処理装置、17:演算処理装
置、18:駆動制御装置、19:搬送ローラ、2
0:ストツパ。
FIG. 1 is an explanatory diagram of the overall configuration of an apparatus according to an embodiment of the present invention. 1: Grinding robot, 2: Arm base, 3: Support body, 4: Arm, 5: Indicator pin, 6: Tip arm, 7: Support pin, 8: Hand part, 9: Flaw detector, 10: Grinder, 11: Grindstone, 12: Rotating shaft, 13: Support body, 14: Mounting section, 15: Strain gauge, 16: Image processing device, 17: Arithmetic processing device, 18: Drive control device, 19: Conveyance roller, 2
0: Stoppa.
Claims (1)
ラインダと金属表面に対するグラインダ砥石の接
触度検出器を装着しており、所定の範囲内で移
動、昇降自在なハンド部を備えた研削ロボツト
と、このロボツトのハンド部の移動範囲を捕捉で
きる位置に設けられたカメラと、このカメラによ
る画像を処理して、ロボツトのハンド部の移動範
囲内に配置された金属材の表面疵を検出する画像
処理装置と、この画像処理装置からの座標値に基
づく疵の位置信号および疵研削後の疵検出器から
の疵残留位置信号、グラインダ砥石接触度検出器
からの砥石接触度信号により、グラインダ砥石に
よる金属材表面に対する研削範囲とグラインダ砥
石の金属材表面への接触度を演算する演算処理装
置と、この演算処理装置からの信号により研削ロ
ボツトのハンド部の移動、昇降各部の動作を制御
して、グラインダの研削範囲とグラインダ砥石に
よる金属材表面疵部に対する切込量を制御するロ
ボツト制御装置とを備えたことを特徴とする金属
材の表面疵自動研削装置。1 A grinding robot equipped with a residual flaw detector after flaw grinding, a flaw grinder, and a contact degree detector of the grinder whetstone against the metal surface at the tip, and a hand part that can move and move up and down within a predetermined range. A camera is installed at a position that can capture the range of movement of the robot's hand, and the images taken by this camera are processed to detect surface flaws on metal materials placed within the range of movement of the robot's hand. An image processing device, a flaw position signal based on coordinate values from the image processing device, a flaw remaining position signal from a flaw detector after flaw grinding, and a grindstone contact degree signal from a grinder whetstone contact degree detector A processing unit that calculates the grinding range of the metal surface and the degree of contact of the grinder wheel with the metal surface, and signals from this processing unit that control the movement of the hand section of the grinding robot and the movements of the various parts of the elevator. An automatic grinding device for surface flaws on a metal material, characterized in that it is equipped with a robot control device that controls the grinding range of the grinder and the amount of cut into the surface flaw portion of the metal material by the grinder whetstone.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP60203189A JPS6263059A (en) | 1985-09-12 | 1985-09-12 | Automatic surface flaw grinder |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP60203189A JPS6263059A (en) | 1985-09-12 | 1985-09-12 | Automatic surface flaw grinder |
Publications (2)
Publication Number | Publication Date |
---|---|
JPS6263059A JPS6263059A (en) | 1987-03-19 |
JPH0541388B2 true JPH0541388B2 (en) | 1993-06-23 |
Family
ID=16469935
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP60203189A Granted JPS6263059A (en) | 1985-09-12 | 1985-09-12 | Automatic surface flaw grinder |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS6263059A (en) |
Families Citing this family (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0285554U (en) * | 1988-12-19 | 1990-07-05 | ||
JPH07156055A (en) * | 1993-11-29 | 1995-06-20 | Nkk Corp | Automatic grinding device for surface flaw of steel plate |
AT502058B1 (en) | 2005-06-20 | 2007-11-15 | Voest Alpine Ind Anlagen | CONTINUITY CASTING SYSTEM WITH AT LEAST ONE MULTIFUNCTION ROBOT |
WO2011111136A1 (en) * | 2010-03-08 | 2011-09-15 | シャープ株式会社 | Foreign body polishing method and foreign body polishing device |
WO2011114399A1 (en) * | 2010-03-18 | 2011-09-22 | シャープ株式会社 | Foreign object grinding method and foreign object grinding device |
WO2012053165A1 (en) * | 2010-10-19 | 2012-04-26 | シャープ株式会社 | Foreign material abrading method |
CN102513935A (en) * | 2011-12-13 | 2012-06-27 | 青岛张氏机械有限公司 | Full-automatic polishing and surface detecting equipment |
JP6650197B2 (en) * | 2014-01-23 | 2020-02-19 | 三菱重工業株式会社 | Polishing equipment |
JP2016078150A (en) * | 2014-10-15 | 2016-05-16 | Jfeスチール株式会社 | Surface defect grinder of steel plate and method |
CN106002572B (en) * | 2016-05-30 | 2018-02-02 | 徐州工程学院 | A kind of construction steel structure surface derusting engineering equipment and its method of work |
CN110524390A (en) * | 2019-09-06 | 2019-12-03 | 嵊州软岩智能技术有限公司 | A kind of metal material surface polishing equipment |
CN116323099A (en) * | 2020-10-14 | 2023-06-23 | 杰富意钢铁株式会社 | Flaw grinding system, flaw grinding method, and method for manufacturing steel product using same |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6178557U (en) * | 1984-10-30 | 1986-05-26 |
-
1985
- 1985-09-12 JP JP60203189A patent/JPS6263059A/en active Granted
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Publication number | Publication date |
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JPS6263059A (en) | 1987-03-19 |
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