Mold anomaly diagnosis device
The mold abnormality diagnosis device uses thermal imaging and area calculation to identify and diagnose mold seizure by detecting high and low temperature regions, enhancing precision and predictive maintenance in die-casting machines.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- UBE MASCH CORP LTD
- Filing Date
- 2024-11-11
- Publication Date
- 2026-05-21
AI Technical Summary
Existing mold abnormality diagnosis technologies fail to accurately identify the location of mold seizure, particularly in die-casting machines, and do not account for the risk of mold seizure due to alloy reactions at high temperatures or mold release agent failures at low temperatures.
An abnormality diagnosis device for molds that includes an imaging unit to capture thermal images of mold cavity surfaces, an abnormal range detection unit to identify high and low temperature regions, and an area calculation unit to determine the area of these regions, diagnosing mold seizure when the calculated areas exceed predetermined thresholds.
Accurately identifies the sites of mold seizure by quantifying high and low temperature regions, enabling precise diagnosis and predictive maintenance, and improving management accuracy by capturing thermal images at arbitrary times.
Smart Images
Figure 2026084236000001_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to mold abnormality diagnosis of molding machines such as die-casting machines.
Background Art
[0002] Conventionally, in the technology of Patent Document 1, temperature abnormalities of a mold are determined based on a thermal image.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] However, in the above prior art, there is no description of diagnosing a location where there is a risk of mold seizure.
[0005] The present invention has been made in view of the above circumstances, and an object thereof is to accurately identify a site where mold seizure occurs.
Means for Solving the Problems
[0006] To solve the above problems, in the present invention, there is provided an abnormality diagnosis device for a mold that obtains a product by injecting a molten material into a cavity formed by a pair of molds. After the product is removed from the mold, an abnormal range grasping unit that grasps an abnormal range on the cavity surface of the mold by imaging, and an area calculation unit that calculates the area of the abnormal range are provided. When the calculated area is equal to or greater than a predetermined threshold value, it is diagnosed that an abnormality has occurred.
Effects of the Invention
[0007] Thereby, it is possible to accurately identify a site where mold seizure occurs. [Brief explanation of the drawing]
[0008] [Figure 1] This is an example of a die-casting machine to which the present invention is applied. [Figure 2] This figure shows an image of the mold cavity surface and the evaluation area. [Figure 3] This figure shows thermal images of the mold cavity when abnormally high temperature regions and abnormally low temperature regions occur within evaluation area D. [Modes for carrying out the invention]
[0009] The present invention will be described in detail below with reference to the attached drawings.
[0010] [Embodiment 1] [Overall structure] Figure 1 shows a die-casting machine to which the mold abnormality diagnosis device of the present invention is applied. The die-casting machine 1 shown in Figure 1 comprises an injection device 10, a mold 20, a mold opening unit 30, and a control unit 100. Molding is performed by injecting molten metal injected from the injection device 10 into the cavity C of the mold 20.
[0011] The mold 20 has a fixed mold 21 and a movable mold 22, and the mold is opened by moving the movable mold 22 using a mold opening unit 30. The mold opening unit 30 is a hydraulic actuator driven by a hydraulic power source (not shown), and the control unit 100 controls the position of the movable mold 22 via this mold opening unit 30.
[0012] Furthermore, the die-casting machine 1 is equipped with an imaging unit 40 that images the cavity surfaces 21c and 22c of the mold 20 when the mold is opened. This imaging unit 40 is designed to capture thermal images using an infrared camera or the like, but it may also capture visible images.
[0013] The control unit 100 includes an abnormal range detection unit 110 and an area calculation unit 120. The abnormal range detection unit 110 detects the temperature distribution on the cavity surfaces 21c and 22c, and the area calculation unit 120 calculates the area within this temperature distribution that is above a predetermined temperature and / or below a predetermined temperature.
[0014] [Imaging of cavity surfaces] Figure 2 shows thermal images of cavity surfaces 21c and 22c and evaluation area D (area enclosed by dashed lines). Thermal images may be taken of the cavity surface 21c of the fixed mold 21 or the cavity surface 22c of the movable mold 22.
[0015] This evaluation area D is located in a pre-defined region in the thermal image of the mold. By covering the areas of the cavity surfaces 21c and 22c that are prone to seizing with evaluation area D, seizing can be diagnosed.
[0016] [Manage the area of abnormally high temperature regions and abnormally low temperature regions] Seizing in die casting is often caused by alloy reactions between the mold and molten metal at abnormally high temperatures, or by poor application of mold release agent at abnormally low temperatures. At abnormally high temperatures, the interface temperature between the molten metal (aluminum alloy) and the mold becomes high, and there is a risk that the molten metal will adhere to the mold cavity surface. At abnormally low temperatures, the mold release agent may not adhere sufficiently to the mold cavity surface, and friction between the molten metal and the mold cavity surface may cause the molten metal to adhere to the mold cavity surface.
[0017] If the area of the region experiencing abnormally high temperatures is small, seizing that affects the mold and product will not occur. However, if the area exceeds a certain size, seizing will occur. Therefore, controlling the area of the region experiencing abnormally high temperatures is important when diagnosing seizing caused by alloy reactions. Similarly, controlling the area is also highly significant when dealing with seizing caused by abnormally low temperatures.
[0018] Therefore, in the present application, a region (abnormal high-temperature region DH) that becomes a temperature higher than a predetermined level within the evaluation area D is specified, and the area SDH of the abnormal high-temperature region DH is calculated. When the calculated area SDH becomes a value equal to or greater than a predetermined value, it is diagnosed that seizure has occurred. The specification of the abnormal high-temperature region DH is specified by the abnormal range grasping unit 110, and the calculation of the area SDH is executed by the area calculation unit 120.
[0019] Similarly, a region (abnormal low-temperature region DL) that becomes a temperature lower than a predetermined level is specified, and its area SDL is also calculated together. When the calculated area SDL becomes a value equal to or greater than a predetermined value, it is also diagnosed that seizure has occurred. Also regarding this, the specification of the abnormal low-temperature region DL is specified by the abnormal range grasping unit 110, and the calculation of the area SDL is executed by the area calculation unit 120.
[0020] FIG. 3 is a diagram showing a thermal image of the mold cavity when an abnormal high-temperature region DH and an abnormal low-temperature region DL occur within the evaluation area D. In order to perform an evaluation based on the areas of the abnormal high-temperature region DH and the abnormal low-temperature region DL, it is easy to specify the range of seizure. Also, by capturing a thermal image and performing area evaluation at an arbitrary timing, it becomes possible to confirm quantitative changes over time and improve the management accuracy.
[0021] [Effect] (1) An abnormal diagnosis device for a mold that obtains a product by injecting a molten material into a cavity C formed by a pair of molds 20, an abnormal range grasping unit 110 that grasps an abnormal range (abnormal high-temperature region DH and abnormal low-temperature region DL) on the cavity surfaces 21c, 22c of the mold 20 by imaging after the product is demolded, an area calculation unit 120 that calculates the areas SDH, SDL of the abnormal range and is provided with when the calculated areas SDH, SDL become a value equal to or greater than a predetermined threshold value, it is determined that an abnormality has occurred. By imaging, the abnormal areas of the mold cavity surfaces 21c and 22c can be identified, and by diagnosing the occurrence of abnormalities based on the area, the areas where mold seizure occurs can be identified with high precision. Furthermore, by changing the method for identifying the abnormal areas, it is possible to identify abnormalities on the product surface, such as appearance quality.
[0022] (2) The abnormal range detection unit 110 grasps the temperature distribution on the cavity surfaces 21c and 22c, The area calculation unit 120 calculates the area within this temperature distribution that is above a predetermined temperature and / or below a predetermined temperature. By performing abnormality diagnosis based on the area above or below a specified temperature, it is possible to efficiently identify areas where alloy reactions are likely to occur at high temperatures and areas where mold release agent adhesion failures are likely to occur at low temperatures.
[0023] Furthermore, since area SDH and SDL can be calculated at any time, it is possible to understand the changes in area SDH and SDL over time and with each casting cycle, and to perform abnormality and predictive abnormality diagnosis based on the trends of change. The trends of change may also be understood by machine learning. [Explanation of symbols]
[0024] 1. Die-casting machine 10 Injection device 20 molds Type 30 opening 40 Imaging Unit 100 Control Unit 110 Anomaly Range Detection Unit 120 Area calculation part
Claims
1. A mold abnormality diagnosis device for obtaining a product by injecting molten material into a cavity formed by a pair of molds, After the product is released from the mold, an abnormal area detection unit is used to identify the abnormal area on the cavity surface of the mold by imaging, Area calculation unit for calculating the area of the abnormal range and Equipped with, If the calculated area exceeds a predetermined threshold, an abnormality is diagnosed. A mold anomaly diagnosis device characterized by the following.
2. A mold abnormality diagnosis device according to claim 1, The abnormal range detection unit detects the temperature distribution on the cavity surface of the mold, The area calculation unit calculates the area of the temperature distribution that is above a predetermined temperature and / or below a predetermined temperature. A mold anomaly diagnosis device characterized by the following.