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JPH061245B2 - Automatic analyzer for metal fragments - Google Patents
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JPH061245B2 - Automatic analyzer for metal fragments - Google Patents

Automatic analyzer for metal fragments

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Publication number
JPH061245B2
JPH061245B2 JP61090600A JP9060086A JPH061245B2 JP H061245 B2 JPH061245 B2 JP H061245B2 JP 61090600 A JP61090600 A JP 61090600A JP 9060086 A JP9060086 A JP 9060086A JP H061245 B2 JPH061245 B2 JP H061245B2
Authority
JP
Japan
Prior art keywords
sample
analysis
polishing
surface roughness
roughness
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
Application number
JP61090600A
Other languages
Japanese (ja)
Other versions
JPS62245946A (en
Inventor
徹 砂原
恭之 古川
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nippon Steel Corp
Original Assignee
Sumitomo Metal Industries Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Sumitomo Metal Industries Ltd filed Critical Sumitomo Metal Industries Ltd
Priority to JP61090600A priority Critical patent/JPH061245B2/en
Publication of JPS62245946A publication Critical patent/JPS62245946A/en
Publication of JPH061245B2 publication Critical patent/JPH061245B2/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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Description

【発明の詳細な説明】 産業上の利用分野 この発明は、鉄鋼等の発光分光分析の一切の分析操作を
完全自動化した金属片の自動分析装置に関する。
Description: TECHNICAL FIELD The present invention relates to an automatic analyzer for metal pieces in which all analytical operations of emission spectroscopy of steel and the like are completely automated.

従来の技術 製鋼工程等における金属の分析は、近年発光分光分析法
が採用されており、コンピュータとの組合せにより分析
作業時間が著しく短縮されている。
2. Description of the Related Art In recent years, for the analysis of metals in the steelmaking process and the like, an emission spectroscopic analysis method has been adopted, and a combination with a computer has significantly shortened the analysis work time.

しかし、最近は製鋼工程の連続化、迅速化に伴い分析頻
度が大幅に増大しており、これに対応するため分析時間
の一層の短縮が要望されるようになつた。
However, recently, the frequency of analysis has greatly increased with the continuation and speeding up of the steelmaking process, and in order to cope with this, further reduction in analysis time has been demanded.

その要望に答えるため、近年ロボット化した自動分析装
置が開発されている。その一つとして、自動分析システ
ム(島津科学器機ニュースvol.25,No.4(1984.6)P4〜7)
が知れている。
In order to meet the demand, a robotized automatic analyzer has been developed in recent years. As one of them, automatic analysis system (Shimadzu Kagaku Kikai news vol.25, No.4 (1984.6) P4-7)
Is known.

この自動分析システムは、気送管により送られた高温の
分析試料を自動切断研磨機に投入して冷却後、試料の切
断、粗研磨、仕上研磨等を順次行つて仕上げ、仕上げら
れた試料は試料受台に取出され、さらに分析ロボットに
より上記受台上の試料を発光分光分析装置の発光スタン
ドにセットして1回目の分析が行われ、次いで試料を9
0°回転して2回目の分析が行われる。そして、2回の
分析値の差が規定の値以下の場合、2回の分析値の平均
値を求め、又2回の分析値の平均が規定値より大きい場
合は、その2回の分析値は棄却され、さらに上記と同様
に2回分析が行われ、1試料で最高4回の分析が行われ
る。
In this automatic analysis system, the high-temperature analysis sample sent by a pneumatic tube is put into an automatic cutting and polishing machine and cooled, and then the sample is cut, rough-polished, finish-polished, etc. to finish and finish the finished sample. The sample is taken out to the sample pedestal, and the sample on the pedestal is set on the luminescence stand of the emission spectroscopic analyzer by the analysis robot to perform the first analysis.
A second analysis is performed with 0 ° rotation. If the difference between the two analysis values is less than the specified value, the average value of the two analysis values is calculated, and if the average of the two analysis values is larger than the specified value, the two analysis values Is rejected, and the same analysis is performed twice, and up to four analyzes are performed on one sample.

この分析ロボットによる発光分光分析装置の発光位置へ
の試料セットは、常に決められた定位置に置かれるた
め、試料面上の巣や割れ傷のある不良位置が発光位置と
重なることがある。この場合には分析エラーとなり正確
な分析値が得られないため、再度セットしなおして分析
を繰り返す必要があり、処理時間が増大するのを避ける
ことができない。
Since the sample set to the emission position of the emission spectroscopic analyzer by this analysis robot is always placed at a fixed position, a defective position with a nest or a crack on the sample surface may overlap with the emission position. In this case, since an analysis error occurs and an accurate analysis value cannot be obtained, it is necessary to set again and repeat the analysis, and it is unavoidable that the processing time increases.

この対策としては、発光分光分析用試料研削面の欠陥位
置検出装置を備え、計算手段により前記研削面の欠陥位
置座標を求め、欠陥を含まない最大の円形試料面を探
し、この円の中心と半径を求め、前記円の半径が所定の
半径より大きければ、試料を搬送位置決め装置によっ
て、発光室内所定位置に装填し、適当な円が見たからな
いときは再研削をするようにした発光分光分析試料処理
方法(特開昭53−184号公報)が提案されている。
As a countermeasure for this, a defect position detecting device for the sample grinding surface for emission spectroscopy analysis is provided, the defect position coordinates of the grinding surface are obtained by the calculating means, the maximum circular sample surface not containing a defect is searched for, and the center of this circle is determined. Emission spectroscopic analysis in which the radius is calculated, and if the radius of the circle is larger than the predetermined radius, the sample is loaded into a predetermined position in the light emitting chamber by the transport positioning device, and regrinding is performed when an appropriate circle is not seen. A sample processing method (JP-A-53-184) has been proposed.

発明が解決しようとする問題点 上記特開昭53−184号公報に開示の方法によれば、
試料面の欠陥位置を検知して常に良好な発光位置にセッ
トでき、分析作業を自動化することができる。
Problems to be Solved by the Invention According to the method disclosed in JP-A-53-184,
The defect position on the sample surface can be detected, and the light emission position can always be set to a good light emission position, and the analysis work can be automated.

しかし、分析作業において試料受取りから分析終了後の
保管までの一切の処理時間として要求される時間は2分
程度であるが、自動仕上研磨機では研磨時間のみで約6
0秒もかかるため、4回の分析を行つた場合、全分析操
作を2分以内で終らすことができず問題であつた。
However, in the analysis work, the total required processing time from receiving the sample to storage after the end of analysis is about 2 minutes.
Since it took 0 seconds, when the analysis was performed 4 times, the whole analysis operation could not be completed within 2 minutes, which was a problem.

この発明は、かかる現状にかんがみてなされたもので、
自動仕上研磨装置における研磨時間を著しく短縮できる
自動分析装置を提供するものである。
The present invention has been made in view of the current situation,
It is an object of the present invention to provide an automatic analyzer which can significantly reduce the polishing time in an automatic finish polishing apparatus.

問題点を解決するための手段 すなわちこの発明は、試料受取りテーブルと、試料自動
研磨装置と、不良位置を避けて発光位置を設定するため
の画像処理装置と、前記設定された発光位置により分析
を行う発光分光分析装置と、試料保管テーブルとを保管
ロボットのアームフィンガの水平面移動軌跡上に配設
し、一連の分析作業を周辺制御装置および分析ロボット
制御装置により完全自動操作する金属片の自動分析装置
において、試料自動研磨装置に非接触粗度計を設け、前
記周辺制御装置に該非接触粗度計から入力される試料表
面の巣や割れ傷のない部分の粗度と、予め求めた目標表
面粗度を得るための研磨時間と表面粗度との関係に基い
て最適研磨時間を演算設定し、研磨終了後、入力される
表面粗度と目標表面粗度を比較し、目標表面粗度が得ら
れていない場合は再度研磨指令を出力する機能を設けた
ことを特徴とする金属片の自動分析装置である。
Means for Solving the Problems That is, the present invention provides a sample receiving table, a sample automatic polishing device, an image processing device for setting a light emitting position while avoiding a defective position, and an analysis by the set light emitting position. The emission spectroscopic analyzer to be performed and the sample storage table are arranged on the locus of horizontal movement of the arm fingers of the storage robot, and a series of analysis work is completely automatically operated by the peripheral control device and the analysis robot control device. In the apparatus, a non-contact roughness meter is provided in the sample automatic polishing apparatus, and the roughness of a portion without cavities or cracks on the sample surface input from the non-contact roughness meter in the peripheral control device and a target surface obtained in advance The optimum polishing time is calculated and set based on the relationship between the polishing time and the surface roughness to obtain the roughness, and after the polishing is completed, the input surface roughness and the target surface roughness are compared to obtain the target surface roughness. The automatic analyzer for metal pieces is characterized in that it is provided with a function of outputting a polishing command again when the degree is not obtained.

作 用 自動研磨装置に設けた非接触粗度計は、第2図に示すよ
うに、レーザー発振器(11)から発光された集光されたレ
ーザービームを試料面に当て、その反射ビームを演算装
置(18)に入力して表面粗さを検出するが、この非接触粗
度計を用いて、試料表面の巣や割れ傷のない部分の粗度
を測定する。周辺制御装置は、非接触粗度計から入力さ
れる測定結果と、予め求めた第3図に示すような目標表
面粗度αを得るための研磨時間と表面粗度との関係に基
いて、目標表面粗度αを得るための最適研磨時間を設定
するから、この設定時間に基いて自動研磨すればむだな
研磨時間を省くことができる。
As shown in Fig. 2, the non-contact roughness meter installed in the working automatic polishing machine applies the focused laser beam emitted from the laser oscillator (11) to the sample surface, and the reflected beam is used as a computing device. The surface roughness is detected by inputting it into (18), and the roughness of the portion of the sample surface without cavities or cracks is measured using this non-contact roughness meter. The peripheral control device, based on the measurement result input from the non-contact roughness meter and the relationship between the polishing time and the surface roughness for obtaining the target surface roughness α as shown in FIG. Since the optimum polishing time for obtaining the target surface roughness α is set, wasteful polishing time can be saved by performing automatic polishing based on this set time.

実施例 実施例1 次に、この発明の実施例を図面に基いて説明する。第1
図に示すように、試料受取りテーブル(1)、標準試料テ
ーブル(1-2)、非接触粗度計を有する自動研磨装置(2)、
画像処理装置(3)、発光分光分析装置(4)、及び試料保管
テーブル(5)を分析ロボット(6)のアーム(6-1)先端のフ
インガの水平面移動軌跡上に配設する。
Embodiment 1 Next, an embodiment of the present invention will be described with reference to the drawings. First
As shown in the figure, sample receiving table (1), standard sample table (1-2), automatic polishing device with a non-contact roughness meter (2),
The image processing device (3), the emission spectroscopic analysis device (4), and the sample storage table (5) are arranged on the horizontal trajectory of the finger of the arm (6-1) of the analysis robot (6).

上記各装置は、分析ロボット(6)のアーム先端の旋回線
上に配設されるため、分析ロボット(6)は高速位置決め
の可能な簡易型円筒座標タイプロボットを採用すること
ができる。その一例を第7図に旋回軸筒(20)の上端に取
着して水平に伸びたアーム(6-1)は先端部(6-2)に垂直下
向きに貫設されたシリンダ(21)のロッドに試料を把持す
るフインガ(22)を設けてなり、分析ロボット制御装置
(9)によりアームの旋回、伸縮、及びフインガ(22)の上
下動を制御する。
Since each of the above devices is arranged on the turning line of the arm tip of the analysis robot (6), the analysis robot (6) can employ a simple cylindrical coordinate type robot capable of high-speed positioning. An example of this is shown in FIG. 7 in which the horizontally extending arm (6-1) attached to the upper end of the swivel cylinder (20) has a cylinder (21) vertically penetrating the tip (6-2). A robot (22) that holds the sample on the rod of
(9) controls the swing, extension and contraction of the arm, and the vertical movement of the finger (22).

なお、標準試料テーブル(1-2)は、発光分光分析装置の
経時的な変化を修正するための標準化作業に使用する標
準試料を保管するものであり、必要によりテーブルから
取出された標準試料は通常の試料と同様の手順を経て分
析される。
The standard sample table (1-2) stores standard samples used for standardization work to correct changes over time of the emission spectroscopic analyzer, and standard samples taken out from the table may be stored if necessary. The sample is analyzed by the same procedure as that for a normal sample.

自動研磨装置(2)に設ける非接触粗度計の実施例を第2
図に示す。レーザー発振器(11)から発光され収束光学系
(13)で集光されるレーザービーム(5)の反射光を収束光
学系(16)を介し受光素子(17)に投射し、試料面上の粗さ
に基いて反射レーザービーム(15)の角度のずれを演算装
置(18)と表面粗さ創成回路(19)とにより検出し、表面粗
さの出力信号とする。この際、表面粗さは中心線平均粗
さの出力信号で表す。
The second embodiment of the non-contact roughness meter provided in the automatic polishing device (2)
Shown in the figure. Convergence optical system that emits light from a laser oscillator (11)
The reflected light of the laser beam (5) focused by (13) is projected onto the light receiving element (17) through the converging optical system (16), and the reflected laser beam (15) is projected based on the roughness on the sample surface. The deviation of the angle is detected by the arithmetic unit (18) and the surface roughness generating circuit (19) and used as the output signal of the surface roughness. At this time, the surface roughness is represented by an output signal of the center line average roughness.

上記非接触粗度計を用いて測定した巣や割れ傷のない部
分の試料の表面粗度βと、予め求めた第3図に示すよう
な目標表面粗度αを得るための研磨時間と表面粗度との
関係に基いて、最適研磨時間(t1-t)を求める。この最適
研磨時間(t1-t)を実際の試料研磨時間として設定して研
磨を行う。そして、研磨終了後に上記非接触粗度計で表
面粗度を測定し、目標表面粗度αが得られていない場合
には、再度目標表面粗度αを得るための研磨時間を設定
して研磨を行い目標粗度に仕上げる。
Surface roughness β of the sample in a portion free from cavities and cracks measured using the above non-contact roughness meter, and polishing time and surface for obtaining a target surface roughness α as shown in FIG. The optimum polishing time (t 1 -t) is calculated based on the relationship with the roughness. This optimum polishing time (t 1 -t) is set as the actual sample polishing time and polishing is performed. Then, after the polishing is finished, the surface roughness is measured with the non-contact roughness meter, and when the target surface roughness α is not obtained, the polishing time is set again to obtain the target surface roughness α and the polishing is performed. And finish to the target roughness.

なお、自動研磨装置は円筒型砥石を用いたものを使用
し、表面粗度測定は研磨装置のドレッシング作業時を利
用して行う。
The automatic polishing apparatus uses a cylindrical grindstone, and the surface roughness is measured during the dressing work of the polishing apparatus.

次に、試料面上の不良位置を避けて発光位置を決める画
像処理の実施例を第4図について説明する。
Next, an embodiment of image processing for determining a light emitting position while avoiding a defective position on the sample surface will be described with reference to FIG.

試料(14)をITVカメラ(7)で捕えた静止画像を画像入力装
置(3-1)のフレームメモリに取り込み、画像処理装置(3)
で所定のスライスレベルで2値化し、傷位置演算装置(3
-2)で不良位置を検知する。すなわち、第5図に示すよ
うに、画像を6mmのます目(発光面積)に区画し、各ま
す目(23)の中の傷(24)の有無を調べ、傷のないます目の
中心座標を発光位置(25)として分析ロボット制御装置
(9)に出力する。
The still image of the sample (14) captured by the ITV camera (7) is loaded into the frame memory of the image input device (3-1), and the image processing device (3)
Binarize at a predetermined slice level with
-2) Detect the defective position. That is, as shown in Fig. 5, the image is divided into 6 mm squares (light emitting area), and the presence or absence of scratches (24) in each square (23) is checked, and the center coordinates of the scratchless squares are shown. Control robot controller with light emitting position (25)
Output to (9).

上記自動分析装置のシステムブロック図を第6図に示
す。図中の(8)は周辺制御装置を示し、この装置からの
指令により各装置の制御が行なわれる。又、(10)は手動
設定用操作盤を示す。
A system block diagram of the automatic analyzer is shown in FIG. Reference numeral (8) in the figure denotes a peripheral control device, and each device is controlled by a command from this device. Further, (10) indicates a manual setting operation panel.

上記自動分析装置による試料自動研磨、傷の有無検査か
ら発光分光分析位置制御までの処理は、まず自動研磨装
置に試料をセットし、前記要領で目標表示粗度αを得る
ための最適研磨時間(t1-t)を設定して自動研磨を行う。
そして研磨終了後に表面粗度を測定し、目標表面粗度α
が得られていない場合には、再度研磨時間を設定して研
磨を行って目標粗度に仕上げる。目標粗度に仕上げた試
料は、その中心を画像処理装置の基準位置にセットし、
前記要領で傷検査を行い、傷のないます目を選んで検査
座標(Xt,Yt)を決定し、検査位置を放電位置(Xs,Ys)に合
致せしめて、発光分光分析装置(4)の発光台(4-1)にセッ
トして行われる。そして、その間の演算処理は次のよう
にして行われる。
Sample automatic polishing by the above-mentioned automatic analyzer, processing from the presence or absence inspection of scratches to emission spectral analysis position control, first set the sample in the automatic polishing device, the optimum polishing time to obtain the target display roughness α in the above manner ( Set t 1 -t) to perform automatic polishing.
After the polishing is completed, the surface roughness is measured and the target surface roughness α
If not obtained, the polishing time is set again and polishing is performed to finish to the target roughness. For the sample finished to the target roughness, set the center to the reference position of the image processing device,
Perform the scratch inspection in the same manner as above, determine the inspection coordinates (Xt, Yt) by selecting the cells without scratches, match the inspection position with the discharge position (Xs, Ys), and use the optical emission spectrometer (4). It is performed by setting it on the light emitting table (4-1). Then, the arithmetic processing during that time is performed as follows.

第8図に示すように、試料中心から画像処理基準位置(X
g,Yg)までの距離をL1、X軸とのなす角をθ1、試料中
心から検査位置(Xt,Yt)までの距離をL1′、X軸とのな
す角をθ1′とすれば、 画像処理基準座標(Xg,Yg)は、 (Xg,Yg)=(L,θ1)となる。
As shown in FIG. 8, the image processing reference position (X
g, Yg) is L 1 , the angle with the X axis is θ 1 , the distance from the sample center to the inspection position (Xt, Yt) is L 1 ′, and the angle with the X axis is θ 1 ′. Then, the image processing reference coordinates (Xg, Yg) are (Xg, Yg) = (L 1 , θ 1 ).

∴θ=tan(Xg,Yg)、L=Xt/cos
θ=Yt/sinθ 検査座標(Xt,Yt)は、 (Xt,Yt)=(L11)となる。
∴θ 1 = tan 1 (Xg, Yg), L 1 = Xt / cos
θ 1 = Yt / sin θ 1 The inspection coordinate (Xt, Yt) is (Xt, Yt) = (L 1 , θ 1 ).

∴θ=tan(Ys/Xs) L′=Xs/cosθ′=Ys/sinθ′ θd=θ−θ′ そして、検査位置(Xt,Yt)を放電位置(Xs,Ys)に合致させ
て試料をセットした場合の試料中心位置を(L
θ)とし、又放電位置(Xs,Ys)を試料中心(L,θ
″)に合せた場合の検査位置を{L,(θ″+θ
)}とし、 L1=L2、L1′=L2′とすれば、 α=L2′−L2cosθ β=L2sinθ ∴L3={(L2−α)+β1/2 θ2′=tan-1{β/(L2−α)} θ2″=tan-1(Ys/Xs) θ2=θ2″−θ2′ 上記により求めた座標(L,θ)に試料中心を移動
させれば、検査位置が放電位置に合致してセットされ
る。
∴θ 1 = tan 1 (Ys / Xs) L 1 ′ = Xs / cos θ 1 ′ = Ys / sin θ 1 ′ θd = θ 1 −θ 1 ′ Then, the inspection position (Xt, Yt) is changed to the discharge position (Xs, Ys). ), The sample center position when the sample is set is (L 3 ,
θ 2 ), and the discharge position (Xs, Ys) at the sample center (L 2 , θ
2 ″), the inspection position is {L 2 , (θ 2 ″ + θ
d )} and L 1 = L 2 and L 1 ′ = L 2 ′, α = L 2 ′ −L 2 cos θ d β = L 2 sin θ d ∴L 3 = {(L 2 −α) 2 + Β 2 } 1/2 θ 2 ′ = tan −1 {β / (L 2 −α)} θ 2 ″ = tan −1 (Ys / Xs) θ 2 = θ 2 ″ −θ 2 ′ Coordinates obtained by the above When the sample center is moved to (L 3 , θ 2 ), the inspection position is set to match the discharge position.

実施例2 上記自動分析装置を使つて直径35mm、長さ35mmの鋼
試料の分析を行つた。その試料は黒皮スケールが残存し
た状態のものから、円筒型回転砥石にて2〜3μR
maxの表面粗度が得られるまで10秒で研磨し、画像処
理として第5図に示す演算を512×512ビットの撮像素子
(CCD)を用いて512×512のます目に区画して処理した。
その結果、直径0.2mmの傷を検出し、これを避けて発光
分光分析を行つた。
Example 2 A steel sample having a diameter of 35 mm and a length of 35 mm was analyzed using the above automatic analyzer. The sample is from a state where the black scale remains, and it is 2-3 μR with a cylindrical rotary grindstone.
Polishing is performed in 10 seconds until the maximum surface roughness is obtained, and the calculation shown in FIG.
(CCD) was used to partition into 512 × 512 cells.
As a result, a flaw with a diameter of 0.2 mm was detected, and avoiding this flaw, emission spectroscopic analysis was performed.

発明の効果 この発明は、自動研磨装置に非接触粗度計を付設するこ
とにより、常に目標表面粗度に最適研磨時間で効率良く
研磨することができ、試料のセットに始まる一連の分析
操作を完全に自動化することができ、分析が常に正確か
つ迅速にできる。
EFFECTS OF THE INVENTION This invention, by attaching a non-contact roughness meter to an automatic polishing apparatus, can always efficiently polish a target surface roughness at an optimum polishing time, and perform a series of analytical operations starting from a set of samples. It can be fully automated and the analysis is always accurate and fast.

【図面の簡単な説明】第1図はこの発明による自動分析
装置の配置を示す説明図、第2図は自動研磨装置に付設
される非接触粗度計の一実施例の説明図、第3図は予め
求めた目標表面粗度αを得るための表面粗度と研磨時間
との関係を示すグラフ、第4図は画像処理装置を中心と
する画像処理システムを示す説明図、第5図は同上画像
処理における画像の一例を示す説明図、第6図はこの発
明の自動分析装置のシステムを示すブロック図、第7図
は分析ロボットの要部の一例を示す斜視図、第8図は画
像処理における試料のセット位置を演算する際の説明図
である。 1…試料受取りテーブル、 2…自動研磨装置、 3…画像処理装置、 4…発光分光分析装置、 5…試料保管テーブル、 6…分析ロボット、 6-1…アーム 7…ITVカメラ、 8…周辺制御装置、 9…分析ロボット制御装置、 10…手動設定用操作盤。
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an explanatory view showing the arrangement of an automatic analyzer according to the present invention, FIG. 2 is an explanatory view of an embodiment of a non-contact roughness meter attached to an automatic polishing device, and FIG. FIG. 4 is a graph showing the relationship between the surface roughness and the polishing time for obtaining the target surface roughness α obtained in advance, FIG. 4 is an explanatory view showing an image processing system centering on an image processing apparatus, and FIG. 5 is Same as above, an explanatory view showing an example of an image in the image processing, FIG. 6 is a block diagram showing a system of an automatic analyzer of the present invention, FIG. 7 is a perspective view showing an example of a main part of an analysis robot, and FIG. 8 is an image. It is explanatory drawing at the time of calculating the set position of the sample in a process. 1 ... Sample receiving table, 2 ... Automatic polishing apparatus, 3 ... Image processing apparatus, 4 ... Emission spectroscopy analyzer, 5 ... Sample storage table, 6 ... Analysis robot, 6-1 ... Arm 7 ... ITV camera, 8 ... Peripheral control Device, 9 ... Analytical robot controller, 10 ... Operation panel for manual setting.

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】試料受取りテーブルと、試料自動研磨装置
と、不良位置を避けて発光位置を設定するための画像処
理装置と、前記設定された発光位置により分析を行う発
光分光分析装置と、試料保管テーブルとを保管ロボット
のアームフィンガの水平面移動軌跡上に配設し、一連の
分析作業を周辺制御装置および分析ロボット制御装置に
より完全自動操作する金属片の自動分析装置において、
試料自動研磨装置に非接触粗度計を設け、前記周辺制御
装置に該非接触粗度計から入力される試料表面の巣や割
れ傷のない部分の粗度と、予め求めた目標表面粗度を得
るための研磨時間と表面粗度との関係に基いて最適研磨
時間を演算設定し、研磨終了後、入力される表面粗度と
目標表面粗度を比較し、目標表面粗度が得られていない
場合は再度研磨指令を出力する機能を設けたことを特徴
とする金属片の自動分析装置。
1. A sample receiving table, a sample automatic polishing device, an image processing device for setting a light emitting position while avoiding a defective position, an emission spectroscopic analyzer for performing analysis at the set light emitting position, and a sample. A storage table and a storage robot are arranged on the horizontal trajectory of the arm fingers of the storage robot, and in a metal fragment automatic analysis device in which a series of analysis work is completely automatically operated by the peripheral control device and the analysis robot control device,
The sample automatic polishing device is provided with a non-contact roughness meter, and the roughness of the sample surface without cavities or cracks, which is input from the non-contact roughness meter to the peripheral control device, and the target surface roughness obtained in advance. The optimum polishing time is calculated and set based on the relationship between the polishing time and the surface roughness to obtain the target surface roughness by comparing the input surface roughness and the target surface roughness after polishing. An automatic analyzer for metal fragments, which is equipped with a function to output a polishing command again when there is no such metal.
JP61090600A 1986-04-18 1986-04-18 Automatic analyzer for metal fragments Expired - Lifetime JPH061245B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP61090600A JPH061245B2 (en) 1986-04-18 1986-04-18 Automatic analyzer for metal fragments

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP61090600A JPH061245B2 (en) 1986-04-18 1986-04-18 Automatic analyzer for metal fragments

Publications (2)

Publication Number Publication Date
JPS62245946A JPS62245946A (en) 1987-10-27
JPH061245B2 true JPH061245B2 (en) 1994-01-05

Family

ID=14002964

Family Applications (1)

Application Number Title Priority Date Filing Date
JP61090600A Expired - Lifetime JPH061245B2 (en) 1986-04-18 1986-04-18 Automatic analyzer for metal fragments

Country Status (1)

Country Link
JP (1) JPH061245B2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6782221B2 (en) 2002-09-06 2004-08-24 Fuji Xerox Co., Ltd. Image forming apparatus having two developer storage units, process cartridge having two developer storage units, and recycling method thereof

Families Citing this family (6)

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Publication number Priority date Publication date Assignee Title
JP2765303B2 (en) * 1991-10-23 1998-06-11 住友金属工業株式会社 Emission spectroscopy method and apparatus
JP4941266B2 (en) * 2007-12-10 2012-05-30 株式会社島津製作所 Luminescence analyzer
JP5077212B2 (en) * 2008-12-05 2012-11-21 株式会社島津製作所 Luminescence analyzer
JP5169869B2 (en) * 2009-01-23 2013-03-27 新日鐵住金株式会社 Spark discharge emission spectroscopic analysis method and spectroscopic analysis system thereof
JP5445156B2 (en) * 2010-01-18 2014-03-19 株式会社島津製作所 Luminescence analyzer
JP6009303B2 (en) * 2012-09-27 2016-10-19 Jx金属株式会社 Sample analysis method using laser ablation ICP analysis method

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5057489A (en) * 1973-09-20 1975-05-19
JPS53184A (en) * 1976-06-23 1978-01-05 Yaskawa Denki Seisakusho Kk Sample treating method of emission spectrochemical analysis

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6782221B2 (en) 2002-09-06 2004-08-24 Fuji Xerox Co., Ltd. Image forming apparatus having two developer storage units, process cartridge having two developer storage units, and recycling method thereof

Also Published As

Publication number Publication date
JPS62245946A (en) 1987-10-27

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