TWI769832B - Health prediction and diagnosis system for a grinder - Google Patents
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 11
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 26
- 239000010959 steel Substances 0.000 claims abstract description 26
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- 239000000956 alloy Substances 0.000 claims description 4
- 229910045601 alloy Inorganic materials 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 abstract description 9
- 238000001228 spectrum Methods 0.000 description 9
- 238000013500 data storage Methods 0.000 description 4
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- 238000012544 monitoring process Methods 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
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- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
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- 239000000463 material Substances 0.000 description 1
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Abstract
Description
本發明係關於鋼珠研磨機的技術領域,特別係指一種研磨機健康預兆診斷系統。 The present invention relates to the technical field of steel ball mills, in particular to a health omen diagnosis system for mills.
鋼珠的生產流程主要分為盤元(wire coil)、抽線(drawing)、治壓(heading)、光磨(flashing)、熱處理(heat treatment)、細磨(grinding)、精磨(lapping)、鏡面處理(super finish)、洗淨(clean)、選別(quality control)到包裝(packing)等生產過程才能完成。當然根據每一間公司的需求而略有不同,但其生產鋼球的流程並不會脫離前述大方向。 The production process of steel balls is mainly divided into wire coil, drawing, heading, flashing, heat treatment, grinding, lapping, The production process such as mirror treatment (super finish), cleaning (clean), quality control (quality control) and packaging (packing) can be completed. Of course, it varies slightly according to the needs of each company, but the process of producing steel balls will not deviate from the aforementioned general direction.
由於鋼珠常應用於精密機械,其講求精密程度較高,因此,無論以何種方式加工鋼球,應用於精密機械所使用的鋼出最終都需要進行一次細磨(grinding)及一次精磨(lapping)。 Because steel balls are often used in precision machinery, which requires a high degree of precision, no matter how the steel balls are processed, the steel used in precision machinery needs to be ground and ground. lapping).
研磨盤如同常見精密機械用的刀具,而崩盤就如同損壞的刀具,會刮傷鋼珠表面;等到人員發現崩盤時,已經過許多循環,鋼珠表面已有許多傷痕。崩盤造成鋼珠在盤內運動不順,也會間接造成圓度與尺寸要求的超差,因此需要在崩盤發生前就預先處置。在鋼珠研磨的每個階段,常因為異物 落入,或人為不正常操作而造成研磨盤的不當擠壓造成損壞。目前排除研磨盤損壞的主要方式是透過品檢階段查出有損壞鋼珠,再檢視研磨盤的損壞情況,然而,此種檢測方式不僅效果不佳,容易生產出大量瑕疵鋼珠,更因此產生過多不良品的成本損耗。有鑑於此,確有必要提供一種技術手段,以解決現有鋼珠研磨機無法準確預測其研磨盤的耗損狀況之問題。 The grinding disc is like a tool used in common precision machinery, and the collapse is like a damaged tool, which will scratch the surface of the steel ball; when the personnel finds the collapse, many cycles have passed, and there are many scars on the surface of the steel ball. The crash causes the steel ball to move poorly in the disk, and also indirectly causes the roundness and size requirements to exceed tolerances, so it needs to be pre-treated before the crash occurs. At each stage of ball grinding, often because of foreign matter It is damaged by falling, or improper extrusion of the grinding disc caused by abnormal operation. At present, the main way to eliminate the damage of the grinding disc is to detect the damaged steel balls through the quality inspection stage, and then check the damage of the grinding disc. However, this detection method is not only ineffective, but it is easy to produce a large number of defective steel balls, and it also causes too many defects. Cost loss of good products. In view of this, it is indeed necessary to provide a technical means to solve the problem that the existing steel ball grinding machine cannot accurately predict the wear and tear of its grinding disc.
本發明之目的在於,解決鋼珠研磨機難以預測健康損耗狀況,導致必須出現問題成品才能夠察覺研磨機過度損耗之問題。 The purpose of the present invention is to solve the problem that it is difficult to predict the health loss of the steel ball mill, which leads to the problem that the excessive wear and tear of the mill can only be detected only when a problem product occurs.
為達成前述目的,本發明為一種研磨機健康預兆診斷系統,適用於鋼珠研磨機的一第一研磨盤及一第二研磨盤,而該研磨機健康預兆診斷系統,包含:一偵測器,連接該第一研磨盤及該第二研磨盤;一中央處理模組,具有一判斷單元、一歷史資料紀錄單元、一計時單元以及一警報單元,該偵測器與該判斷單元資訊連接,該偵測器測得該第一研磨盤及該第二研磨盤自開始至損壞的資料傳輸至該判斷單元,該判斷單元根據該歷史資料紀錄單元內儲存的過往紀錄進行比對,以判斷該第一研磨盤及第二研磨盤是否出現異常,若出現異常,則該判斷單元驅動該警報單元釋出警訊,若以該歷史資料紀錄單元內儲存的過往紀錄進行比對後,判斷未出現異常,則該計時單元紀錄該第一研磨盤及該第二研磨盤研磨的時長,在該計時單元根據該歷史資料紀錄單元內儲存的過往紀錄進行比對後,在經過一預定時間則驅動該警報單元釋出警訊。 In order to achieve the aforementioned objects, the present invention is a grinding machine health omen diagnosis system, which is suitable for a first grinding disc and a second grinding disc of a steel ball mill, and the grinder health omen diagnostic system includes: a detector, The first grinding disc and the second grinding disc are connected; a central processing module has a judging unit, a historical data recording unit, a timing unit and an alarm unit, the detector is connected with the judging unit information, the The detector measures the data of the first grinding disc and the second grinding disc from the beginning to the damage and transmits it to the judging unit, and the judging unit compares the past records stored in the historical data recording unit to judge the first grinding disc. Whether the first grinding disc and the second grinding disc are abnormal, if there is any abnormality, the judging unit drives the alarm unit to issue an alarm signal. Then the timing unit records the grinding time of the first grinding disc and the second grinding disc. After the timing unit compares the past records stored in the historical data recording unit, the alarm is driven after a predetermined time. The unit issued an alert.
在一較佳實施例中該偵測器的數量為二個,其中一個該偵測器連接該第一研磨盤,另一個該偵測器則連接該第二研磨盤。 In a preferred embodiment, the number of the detectors is two, one of the detectors is connected to the first grinding disc, and the other is connected to the second grinding disc.
在一較佳實施例中該偵測器的數量為一個,並且選擇連接於該第一研磨盤或該第二研磨盤其中一個。 In a preferred embodiment, the number of the detector is one, and the detector is selected to be connected to one of the first grinding disc or the second grinding disc.
在一較佳實施例中該第一研磨盤使用砂輪盤,而該第二研磨盤使用合金盤。 In a preferred embodiment, the first grinding disc uses a grinding wheel disc, and the second grinding disc uses an alloy disc.
在一較佳實施例中該第一研磨盤及該第二研磨盤分別具有複數個研磨溝,該偵測器測得之每一個研磨溝之頻率不同,並由該判斷單元區分不同頻率對應之研磨溝。 In a preferred embodiment, the first grinding disc and the second grinding disc respectively have a plurality of grinding grooves, the frequency of each grinding groove measured by the detector is different, and the judging unit distinguishes the corresponding ones of the different frequencies. Grinding groove.
本發明透過判斷單元對第一研磨盤及第二研磨盤進行即時監測,同時將監測結果與歷史資料中的資訊進行逐一比對,進而能夠即時得知第一研磨盤或第二研磨盤是否磨損;再者,本發明又透過歷史資料中紀錄第一研磨盤及第二研磨盤正常磨耗下,能夠維持正常運作的時間,已讓警報單元能夠在損壞之前提前發出警示;且該偵測器的偵測結果會不斷儲存至該歷史資料儲存單元內,使該歷史資料儲存單元內的資訊時時更新,讓預測結果隨著使用時間拉長而愈發準確;最後,該判斷單元又能夠根據頻率不同判斷損壞的研磨溝位置,進而停止使用對應的研磨溝,即使第一研磨盤或第二研磨盤損壞,使用者也不須時時拆開檢查,便能直接停用對應損壞的研磨溝,進而提升研磨效率。 In the present invention, the first grinding disc and the second grinding disc are monitored in real time through the judging unit, and the monitoring results are compared with the information in the historical data one by one, so as to immediately know whether the first grinding disc or the second grinding disc is worn or not. Furthermore, the present invention records the time that the first grinding disc and the second grinding disc can maintain normal operation under normal wear and tear in the historical data, so that the alarm unit can issue a warning in advance before the damage; The detection results will be continuously stored in the historical data storage unit, so that the information in the historical data storage unit will be updated from time to time, so that the prediction results will become more accurate with the use of time; Differently judge the position of the damaged grinding groove, and then stop using the corresponding grinding groove. Even if the first grinding disc or the second grinding disc is damaged, the user can directly disable the corresponding damaged grinding groove without disassembling and inspecting it from time to time. Thus, the grinding efficiency is improved.
在另一實施例中,該判斷單元不僅能夠根據頻譜產生之飄移狀況與否,判斷其損壞的是第一研磨盤或第二研磨盤,進而減少偵測器的使用,不僅減少資料產生而能夠加快中央處理模組的運算速度,更能夠減少資料互相 干涉造成的誤判,使判斷更為準確。 In another embodiment, the judging unit can not only judge whether the first grinding disc or the second grinding disc is damaged according to the drift state generated by the spectrum, thereby reducing the use of the detector, not only reducing the data generation but also Accelerates the operation speed of the central processing module, and can reduce the data exchange The misjudgment caused by interference makes the judgment more accurate.
10:第一研磨盤 10: The first grinding disc
20:第二研磨盤 20: Second grinding disc
30:偵測器 30: Detector
40:中央處理模組 40: Central processing module
41:判斷單元 41: Judgment unit
42:歷史資料紀錄單元 42: Historical data record unit
43:計時單元 43: Timing Unit
44:警報單元 44: Alarm Unit
A:損壞線段 A: Damaged line segment
B:損壞線段 B: Damaged line segment
C:損壞線段 C: damaged line segment
圖1為本發明於一較佳實施例中之立體圖;圖2為本發明於一較佳實施例中之分解圖;圖3為本發明於一較佳實施例中之側視圖;圖4為本發明於一較佳實施例中之結構連結示意圖;圖5為基於圖3中5-5剖線的剖視圖;圖6為本發明於一較佳實施例中第一研磨盤與第二研磨盤的研磨強度示意圖;圖7A為本發明於一較佳實施例中第一研磨盤產生損壞時之頻率示意圖;圖7B為對應不同鋼珠位置產生圖7A頻率之示意圖;圖8為本發明於一較佳實施例中第二研磨盤產生損壞時之頻率示意圖; Fig. 1 is a perspective view of the present invention in a preferred embodiment; Fig. 2 is an exploded view of the present invention in a preferred embodiment; Fig. 3 is a side view of the present invention in a preferred embodiment; Figure 5 is a cross-sectional view based on line 5-5 in Figure 3; Figure 6 is a first grinding disc and a second grinding disc in a preferred embodiment of the present invention FIG. 7A is a schematic diagram of the frequency of the first grinding disc in a preferred embodiment of the present invention when it is damaged; FIG. 7B is a schematic diagram of the frequency of FIG. 7A corresponding to different steel ball positions; FIG. 8 is a schematic diagram of the present invention in a comparison Schematic diagram of the frequency when the second grinding disc is damaged in the preferred embodiment;
請參閱圖1至圖4,本新型為一種研磨機健康預兆診斷系統,適用於鋼珠研磨機的一第一研磨盤10及一第二研磨盤20,而該研磨機健康預兆診斷系統,主要具有一偵測器30及一中央處理模組40,其中:
Please refer to FIG. 1 to FIG. 4 , the present invention is a grinding machine health warning diagnosis system, which is suitable for a
該偵測器30連接該第一研磨盤10及該第二研磨盤20;在本實施例中,該偵測器30的數量為二個,且二個該偵測器30可以為加速規、雷射位移計、震動偵測儀等,在本實施例中該偵測器30主要使用加速規。其中一個該偵
測器30連接該第一研磨盤10,另一個該偵測器30則連接該第二研磨盤20,而該二偵測器30連接於該第一研磨盤10及該第二研磨盤20的方法屬於習知技術,故在此不加以贅述。
The
該中央處理模組40具有一判斷單元41、一歷史資料紀錄單元42、一計時單元43以及一警報單元44,該偵測器30與該判斷單元41資訊連接,該偵測器30測得該第一研磨盤10及該第二研磨盤20自開始至損壞的資料傳輸至該判斷單元41,該判斷單元41根據該歷史資料紀錄單元42內儲存的過往紀錄進行比對,以判斷該第一研磨盤10及第二研磨盤20是否出現異常,若出現異常,則該判斷單元41驅動該警報單元44釋出警訊,若以該歷史資料紀錄單元42內儲存的過往紀錄進行比對後,判斷未出現異常,則該計時單元43紀錄該第一研磨盤10及該第二研磨盤20研磨的時長,在該計時單元43根據該歷史資料紀錄單元42內儲存的過往紀錄進行比對後,在經過一預定時間則驅動該警報單元44釋出警訊;在本實施例中,該中央處理模組40的判斷單元41為中央處理器(Central Processing Unit;CPU),透過該判斷單元41能夠分析該歷史資料紀錄單元42中,而該歷史資料單元內儲存有多筆過往透過該判斷單元41判斷是否異常的第一研磨盤10及第二研磨盤20之資料,該歷史資料單元內的資料透過多筆資料交叉比對,藉此從多筆第一研磨盤10的歷史資料中得出異常資料的第一研磨盤10資料型態,同樣從多筆第二研磨盤20的歷史資料中得出異常資料的第二研磨盤20資料型態,如此,該判斷單元41能夠依據此資料即時判斷出第一研磨盤10及第二研磨盤20的是否異常。
The
在本實施例中,該第一研磨盤10使用砂輪盤,而該第二研磨盤20使用合金盤,由於該第一研磨盤10與該第二研磨盤20所使用的材質不同,因此,該判斷單元41蒐集該第一研磨盤10與該第二研磨盤20的資料並不相同,舉
例來說,請參閱圖6,為砂輪盤之該第一研磨盤10由於具有自銳作用,因此其研磨強度會呈現多個衰減區間並顯示研磨強度逐步下降,而為合金盤的第二研磨盤20則因為耗損較慢且不具自銳作用,因此其研磨強度呈現線性下降。藉此,該判斷單元41在本實施例中所接收大部分的該第一研磨盤10資料,基準都會形成如圖6中所示多個衰減區間型態,並以該基礎型態為基準對正在研磨中的該第一研磨盤10進行異常判斷;同樣地,該判斷單元41在本實施例中所接收大部分的該第二研磨盤20資料,基準都會形成如圖6中所示線性下降之型態,並以該基礎型態為基準對正在研磨中的第二研磨盤20進行異常判斷。以此獲知研磨中的該第一研磨盤10或該第二研磨盤20是否產生異常。
In this embodiment, the
在另一實施例中,該偵測器30的數量為一個,並且選擇連接於該第一研磨盤10或該第二研磨盤20,由於第一研磨盤10及第二研磨盤20之間夾持有鋼珠,因此該判斷單元41接收該偵測器30的訊號係由第一研磨盤10及第二研磨盤20相互耦合產生之頻譜,請參閱圖7A,在本實施例中,該第一研磨盤10為旋轉中的旋轉盤,而該第二研磨盤20為固定不轉動之固定盤,因此當損壞位置產生於該第一研磨盤10時,損壞的部份會隨著第一研磨盤10的轉動而迴轉,而鋼珠在第一研磨盤10與第二研磨盤20之間研磨時,由於鋼珠進入第一研磨盤10及第二研磨盤20之間的入料初始條件不同,並不會維持在與第一研磨盤10相同之對應位置,因此該偵測器30測得之頻率會產生不穩定,而圖7A中顯示了三種不同狀態的頻率狀態,其產生原因請參閱圖7B,當該第一研磨盤10損壞的位置完全與鋼珠重疊,則產生之損壞頻譜較強,故於圖7A中顯示之損壞線段A之頻譜較強,當第一研磨盤10損壞的位置介於對應有鋼珠與對應無鋼珠之間,則產生之損壞頻譜相較損壞線段A之頻譜較弱,如圖7A中顯示之損壞線段B之頻
譜,最後,當第一研磨盤10損壞的位置對應於無鋼珠的位置,則產生之損壞頻譜最弱,如圖7A中顯示之損壞線段C之頻譜。當產生如圖7A顯示之損壞線段頻譜,則該判斷單元41可以判斷損壞之位置位於該第一研磨盤10。
In another embodiment, the number of the
當損壞位置位於第二研磨盤20時,由於第二研磨盤20在進行研磨的過程中並不會旋轉,因此鋼珠會週期性地通過損壞位置,進而產生如圖8顯示之穩定的損壞頻譜。
When the damaged position is located at the
最後,該判斷單元41更能夠依據頻率的不同進而得出該第一研磨盤10或第二研磨盤20的,請參閱下表一:
根據表一揭示出的頻率,可以了解第一研磨盤10或第二研磨盤20的不同的研磨溝產生的不同,因此可以依據不同研磨溝的頻率得知損壞的研磨溝。
According to the frequencies disclosed in Table 1, it can be understood that different grinding grooves of the
本發明透過判斷單元41對第一研磨盤10及第二研磨盤20進行即時監測,同時將監測結果與歷史資料中的資訊進行逐一比對,進而能夠即時得知第一研磨盤10或第二研磨盤20是否磨損;再者,本發明又透過歷史資料中紀錄第一研磨盤10及第二研磨盤20正常磨耗下,能夠維持正常運作的時間,已讓警報單元44能夠在損壞之前提前發出警示;且該偵測器30的偵測結果會不斷儲存至該歷史資料儲存單元內,使該歷史資料儲存單元內的資訊時時更新,讓預測結果隨著使用時間拉長而愈發準確;最後,該判斷單元41又能夠根據頻率不同判斷損壞的研磨溝位置,進而停止使用對應的研磨溝,即使第一研磨盤10或第二研磨盤20損壞,使用者也不須時時拆開檢查,便能直接停用對應損壞的研磨溝,進而提升研磨效率。
In the present invention, the
在另一實施例中,該判斷單元41不僅能夠根據頻譜產生之飄移狀況與否,判斷其損壞的是第一研磨盤10或第二研磨盤20,進而減少偵測器30的使用,不僅減少資料產生而能夠加快中央處理模組40的運算速度,更能夠減少資料互相干涉造成的誤判,使判斷更為準確。
In another embodiment, the judging
30:偵測器 30: Detector
40:中央處理模組 40: Central processing module
41:判斷單元 41: Judgment unit
42:歷史資料紀錄單元 42: Historical data record unit
43:計時單元 43: Timing Unit
44:警報單元 44: Alarm Unit
Claims (5)
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW272156B (en) * | 1993-10-26 | 1996-03-11 | Messerschmidt Sebastian Gmbh | |
| TW427232U (en) * | 2000-01-13 | 2001-03-21 | Nat Science Council | Polishing and processing machine for ceramic ball |
| TW200408498A (en) * | 2002-07-03 | 2004-06-01 | Schott Glas | Lapping method and lapping machine for glass balls or spheres |
| EP1270142B1 (en) * | 2001-06-28 | 2005-05-18 | Koyo Seiko Co., Ltd. | Manufacturing method of steel ball for rolling bearing |
| TW200927373A (en) * | 2007-12-20 | 2009-07-01 | pin-yuan Lai | Sphere grinding machine |
| US20110177760A1 (en) * | 2008-10-03 | 2011-07-21 | Yutaka Tanaka | Spherical body polishing apparatus, method for polishing spherical body and method for manufacturing spherical member |
| US20180029191A1 (en) * | 2016-02-12 | 2018-02-01 | Amatsuji Steel Ball Mfg. Co., Ltd. | High-precision sphere size measuring device and sphere polishing device |
| CN109648427A (en) * | 2019-02-01 | 2019-04-19 | 中国科学院金属研究所 | A kind of change sphere diameter automatic screening ball crusher |
-
2021
- 2021-05-26 TW TW110118993A patent/TWI769832B/en active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW272156B (en) * | 1993-10-26 | 1996-03-11 | Messerschmidt Sebastian Gmbh | |
| TW427232U (en) * | 2000-01-13 | 2001-03-21 | Nat Science Council | Polishing and processing machine for ceramic ball |
| EP1270142B1 (en) * | 2001-06-28 | 2005-05-18 | Koyo Seiko Co., Ltd. | Manufacturing method of steel ball for rolling bearing |
| TW200408498A (en) * | 2002-07-03 | 2004-06-01 | Schott Glas | Lapping method and lapping machine for glass balls or spheres |
| TW200927373A (en) * | 2007-12-20 | 2009-07-01 | pin-yuan Lai | Sphere grinding machine |
| US20110177760A1 (en) * | 2008-10-03 | 2011-07-21 | Yutaka Tanaka | Spherical body polishing apparatus, method for polishing spherical body and method for manufacturing spherical member |
| US20180029191A1 (en) * | 2016-02-12 | 2018-02-01 | Amatsuji Steel Ball Mfg. Co., Ltd. | High-precision sphere size measuring device and sphere polishing device |
| CN109648427A (en) * | 2019-02-01 | 2019-04-19 | 中国科学院金属研究所 | A kind of change sphere diameter automatic screening ball crusher |
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