A SHEET METAL PROCESSING MACHINE
Patent Information
- Authority / Receiving Office
- TR · TR
- Patent Type
- Patents
- Current Assignee / Owner
- DURMAZLAR MAKINA SANAYI & TICARET ANONIM SIRKETI
- Filing Date
- 2021-04-12
- Publication Date
- 2026-06-22
AI Technical Summary
Existing laser cutting machines face issues with inaccurate measurement of sheet metal dimensions and angles due to capacitive sensors or camera degradation, leading to faulty cuts and increased production costs and time loss.
A sheet metal working machine equipped with a sensor unit for superficial scanning, a processor unit using artificial intelligence to analyze data from sensors, and a drive element for precise positioning, enabling accurate determination of sheet metal dimensions and angles before cutting.
Ensures precise cutting by determining the correct coordinates, angles, and dimensions of sheet metal, reducing production errors and time loss, and enhancing operational efficiency.
Smart Images

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Abstract
Description
TARIFF A SHEET METAL PROCESSING MACHINE TECHNICAL FIELD The invention relates to a sheet metal processing machine that enables the cutting of a sheet metal plate using optical laser beams. PREVIOUS TECHNIQUE Laser cutting machines utilize a laser beam from a laser source, directed through a laser cutting head containing a mirror or lens, to cut the material to the desired dimensions. With the advancement of laser technology, the application areas of laser machines are increasing day by day. Laser cutting machines, used for shaping both metallic and non-metallic materials, offer savings on tools and molds. Furthermore, they reduce the error rate during shaping, thereby lowering production costs. Before starting the cutting process on laser machines, the edge point coordinates, dimensions, and angle information of the sheet metal to be cut are required. As the first step of production, the laser cutting head moves to the specified coordinates and begins processing the workpiece according to the part program codes loaded into the machine. Incorrect positioning of the sheet metal, errors in its angle, or incorrect length and width measurements can cause the cutting head to detach from the sheet metal. In this case, production costs, labor, and time losses increase due to faulty production. Current technology includes manual or automated sheet metal search systems that prevent the aforementioned losses. One such system uses a laser cutting head containing a capacitive sensor to move across the sheet metal, sending data to the machine. In this system, the capacitive sensor takes measurements from a certain number of measurement points on the sheet metal, and the machine then calculates the dimensions, angles, and edges using predetermined mathematical functions. In this system, the cutting head containing the capacitive sensor must be positioned on the sheet metal inside the machine. In some cases, depending on the position of the sheet metal, the data received may not provide the exact dimensions, leading to inaccurate cuts. Furthermore, the fact that current laser cutting machines can only cut one sheet of metal at a time, and only within a specified size, results in unnecessary time loss.Another method used in current technology involves performing the cutting operation based on coordinate information obtained via a camera installed inside the laser cutting machine. However, the presence of a camera inside the machine means that chips generated during cutting can distort the camera's image. This requires the operator to check the camera's cleanliness each time, leading to unnecessary time loss and increased workload for the operator. Consequently, all the problems mentioned above have made an innovation in the relevant technical field imperative. A BRIEF DESCRIPTION OF THE INVENTION The present invention relates to a sheet metal processing machine, aiming to eliminate the aforementioned disadvantages and introduce new advantages to the relevant technical field. One aim of the invention is to create a sheet metal processing machine that enables the precise determination of the coordinates for the cutting operation by allowing the dimensions and rotation angle of the sheet metal to be cut to be determined. The present invention, intended to achieve all the purposes mentioned above and outlined in the detailed description below, is a sheet metal processing machine comprising a body for processing sheet metal, a loading pallet supplied in conjunction with the said body for conveying the said sheet metal into the body, and a processing head for enabling the processing of the said sheet metal inside the body, which is located on the said loading pallet.Accordingly, its innovation lies in the fact that it includes at least one sensor unit placed on the body to enable the surface scanning of the sheet metal on the loading pallet, and a processor unit configured to receive data from the said sensor unit; the processor unit will enable the surface scanning of the sheet metal positioned on the loading pallet as it passes into the body via the sensor unit; it will enable the analysis of the surface scanning data received from the sensor unit; and as a result of the analysis, it will enable the determination of the coordinate information, angle information, and dimensions of the sheet metal's position on the loading pallet. A characteristic feature of a possible configuration of the invention is that the sensing unit includes at least one image sensor. A characteristic feature of a possible configuration of the invention is that the sensing unit includes at least one laser rangefinder. A characteristic feature of a possible design of the invention is that it includes a drive element that controls the movement of the loading pallet. A feature of a possible configuration of the invention is that the processing unit is configured to receive position data of the loading pallet from a motion sensor to the aforementioned drive element. A feature of a possible configuration of the invention is that the processor unit is configured to calculate position data relative to a reference element provided on the loading pallet in order to determine the position of the sheet metal plate on the loading pallet. A characteristic feature of a possible configuration of the invention is the placement of at least one sheet metal plate on the loading pallet. - The loading pallet, via a drive mechanism, transports the aforementioned sheet metal into the body, - Surface scanning of the sheet metal on the loading pallet as it passes into the body via a sensor unit, - Determining the lateral length, height, position, and angle of the sheet metal during surface scanning. - Obtaining position data from the sensor unit via the processing unit, including the lateral length, height, and position / angle of the sheet metal on the loading pallet. - Analyzing the aforementioned position data received from the sensor unit via the processing unit using an artificial intelligence algorithm, - Based on the analysis results, the position to be processed on the sheet metal must be determined, and it must be configured in a way that allows the processing steps to be carried out. A characteristic feature of a possible design of the invention is that it includes a step where position data, including the lateral length, height, and position / angle of the sheet metal on the loading pallet, is received from the sensor unit via the processor unit, and a step where the aforementioned position data received from the sensor unit via the processor unit is analyzed using an artificial intelligence algorithm, and a step where the vertical position data of the sheet metal on the loading pallet is received from the motion sensor via the processor unit. A characteristic feature of a possible design of the invention is that it involves two steps: firstly, receiving position data from the sensor unit via the processor unit, including the lateral length, height, and position / angle of the sheet metal on the loading pallet; secondly, analyzing this position data received from the sensor unit via the processor unit using an artificial intelligence algorithm; and thirdly, calculating the vertical position data of the sheet metal on the loading pallet relative to a reference element via the processor unit. BRIEF DESCRIPTION OF THE FIGURE Figure T shows a representative view of the sheet metal processing machine. Figure 2 shows a representative view of the sheet metal processing machine's operating scenario. DETAILED DESCRIPTION OF THE INVENTION This detailed explanation describes the invention using examples that do not limit or hinder a better understanding of the subject matter. The invention relates to a sheet metal processing machine designed with an innovative architecture to enable the cutting of a sheet metal plate. As shown in Figure 1, the aforementioned sheet metal processing machine (10) includes a housing (100) for processing the aforementioned sheet metal (500). Connected to the housing (100) is a loading pallet (200) which enables the sheet metal (500) to be transported into the housing (100). A drive element (220) is provided in the housing (100) to enable the movement of the aforementioned loading pallet (200). In a possible configuration of the invention, a motor, etc., is used as the drive element (220). The drive element (220) is configured to enable the movement of the loading pallet (200) into the housing (100). The drive element (220) includes a motion sensor (230) which enables the position of the loading pallet (200) to be determined. In a possible configuration of the invention, an encoder is used as the motion sensor (230) in the drive element (220).The loading pallet (200) has a reciprocating mechanism designed to transport the sheet metal (500) into the body (100). The loading pallet (200) is designed to carry multiple sheets of sheet metal (500). A reference element (210) is provided at at least one corner of the loading pallet (200). This reference element (210) is an object-like structure provided to determine the position of the sheet metal (500) on the loading pallet (200). The loading pallet (200) has a machining head that enables the sheet metal (500) to be processed inside the body (100). The cutting operation of the sheet metal (500) is performed by guiding the machining head onto the sheet metal (500). As shown in Figure 1, a sensor unit (300) is positioned on the body (100) to scan the sheet metal (500) on the loading pallet (200) as it passes into the body (100). In a possible configuration of the invention, the sensor unit (300) is positioned on the outer surface of the body (100) to scan the loading pallet (200). The said sensor unit (300) contains at least one image sensor. In a possible configuration of the invention, at least one camera is used as the image sensor to capture images. The sensor unit (300) also contains at least one laser rangefinder. In a possible configuration of the invention, at least one of the image sensor and laser rangefinder is used as the sensor unit (300).The position, lateral length, angle, and height of the sheet metal (500) on the loading pallet (200) are determined by surface scanning via the image sensor or laser rangefinder. By scanning the loading pallet (200) in real time via the sensor unit (300), the perforated or non-perforated sections on the loading pallet (200) are detected. From the collected data, it is determined that the smooth, non-perforated parts are the surface of the sheet metal (500) and the perforated, rough parts are the surface of the loading pallet (200). In this case, the lateral length, height, coordinates, and angle of the sheet metal (500) or sheets on the loading pallet (200) are determined by surface scanning in real time.The length of the sheet metal (500) is determined by taking at least one of the data obtained by calculating the position information of the loading pallet via the reference element (210) or measuring the position information of the loading pallet (200) via the motion sensor (230). Thus, data on the sheet metal (500) is obtained from at least one of the motion sensor (230) and the reference element (210) in addition to the sensor unit (300). There is a processor unit (400) configured to receive data from the sensor unit (300), the motion sensor (230) and the reference element (210). As shown in Figure 2, by activating the drive element (220), the sheet metal (500) on the loading pallet (200) is moved into the body (100) for the cutting process. When the drive element (220) is activated, a position data containing the position information of the loading pallet (200) is transmitted to the processor unit (400) via the encoder provided to the drive element (220). The sensor unit (300) scans the surface of the loading pallet (200) as it moves into the body (100). The data obtained from the scan is transmitted to the processor unit (400). If the sensor unit (300) is an image sensor, the surface of the loading pallet (200) is scanned, and the images obtained are interpreted using an image processing algorithm. From the interpreted images, the position, angle, and dimensions of the sheet metal (500) on the loading pallet (200) are determined.If the sensor unit (300) is a laser rangefinder, it can detect the perforated surface of the loading pallet (200) and the smooth surface of the sheet metal (500), thus determining the position, angle and dimensions of the sheet metal (500) on the loading pallet (200). Based on the presence or absence data received from the signals sent to the loading pallet (200), a visual is generated. The generated visual includes the coordinates, angle and dimensions of the sheet metal (500) on the loading pallet (200). The processor unit (400) also enables the calculation of the position information of the loading pallet (200) according to the reference element (210) provided on the loading pallet (200). The processor unit (400) enables the input of data from the sensor unit (300) and, in addition to the sensor unit (300), from the reference element (210) or motion sensor (230) to predefined artificial intelligence models. As a result of the mentioned process, the processor unit (400) enables the determination of the dimensions of the sheet metal (500), the angle of rotation and the coordinates of the sheet metal (500) where the cutting operation will be performed. Based on the determined data, the machining head is activated and the cutting operation is performed inside the body (100). A sample working scenario for the invention is described below; A sheet metal plate (500) is placed onto the loading pallet (200). Once the placement is complete, the drive element (220) is activated. The drive element (220) moves the loading pallet (200), transporting the sheet metal plate (500) placed on the loading pallet (200) to the housing (100). When the drive element (220) is activated, the position data from the encoder on it is instantly transmitted to the processor unit (400). Real-time images of the loading pallet (200) are obtained via the image sensor provided on the outer surface of the housing (100). The images collected via the image sensor are instantly transmitted to the processor unit (400). The processor unit (400) interprets the images received from the image sensor using an image processing algorithm.The number, dimensions, and positions of the sheet metal plates (500) on the loading pallet (200) are determined through the interpreted images. The loading pallet (200) is scanned superficially by means of the laser distance measuring sensor provided on the body (100). Based on the scan status received from the laser distance measuring sensor, the position, dimensions, and angle information of the sheet metal plates (500) on the loading pallet (200) are determined. The processor unit (400) also enables the instantaneous calculation of the position data according to the reference element (210) provided on the loading pallet (200). The information received from the motion sensor (230) or the reference element (210) is taken to check or complete the data detected by the sensor.The processor unit is controlled by using a predefined artificial intelligence algorithm to control the data received from the sensor unit (300) and the reference element (210) or motion sensor (230) in addition to the sensor unit (300). The processing unit uses an artificial intelligence algorithm to determine the coordinates and dimensions for the cutting operation based on the position of the sheet metal (500). Based on the determined data, the machining head is activated. The machining head processes the predetermined data onto the sheet metal (500) with the determined coordinates and dimensions. Thus, the cutting operation on the sheet metal (500) is performed to the exact dimensions according to the determined reference values. In a sample configuration of the invention, a camera is positioned at the top of a laser CNC machine in a factory, overlooking the loading pallet (200). A reference element (210) is located at the far right corner of the loading pallet (200) from the CNC machine. This reference element (210) helps to determine the positions of the sheet metal plates (500) placed on the loading pallet (200). Two sheet metal plates (500) are placed on the loading pallet (200). The placement of the sheet metal plates (500) causes the loading pallet (200) to move into the CNC machine. The camera, positioned outside the CNC machine to be able to see the loading pallet, takes a real-time image of the loading pallet (200). The acquired images are transmitted to the processing unit (400).The processor unit (400) enables the processing of the received images, determining the position and dimensions of the sheet metal plates (500) on the loading pallet (200). The position data of the loading pallet is calculated according to the reference feature (210) on the loading pallet (200). The processor unit (400) enables the analysis of the data received from the camera and the reference feature (210). As a result of the analysis, the number of sheet metal plates (500), their position on the loading pallet (200), their dimensions, and their rotation angles are determined. Based on the determined data, the position and dimensions of the sheet metal plates (500) to be cut are determined using an artificial intelligence algorithm via the processor unit (400). Once the sheet metal plates (500) are placed inside the CNC machine, the axes are activated to perform the laser cutting operation on the sheet metal plates (500) at the determined coordinates.Thus, laser cutting is performed on sheet metal plates (500) at the specified location and dimensions. The scope of protection of the invention is specified in the annexed claims and cannot be limited to the examples given in this detailed description. It is clear that a person skilled in the field could devise similar designs based on the above-mentioned principles without deviating from the main theme of the invention. REFERENCE NUMBERS GIVEN IN THE FIGURE Sheet Metal Processing Machine 100 Fuselages 200 Loading Pallets 210 Reference Elements 220 Propulsion Elements 230 Motion Sensors 300 Sensor Units 400 Processor Units 500 Sheet Metal
Claims
REQUIREMENTS 1. A sheet metal processing machine (10) comprising a body (100) for processing a sheet metal plate (500), a loading pallet (200) for conveying the sheet metal plate (500) into the body (100) connected to the aforementioned body (100), and a machining head (200) for processing the sheet metal plate (500) located on the aforementioned loading pallet (200) inside the body (100); it shall include at least one sensor unit (300) located on the body (100) to enable surface scanning of the sheet metal plate (500) located on the loading pallet (200), and a processor unit (400) configured to receive data from the aforementioned sensor unit (300); the processor unit (400) shall enable surface scanning of the sheet metal plate (500) located on the loading pallet (200) by means of the sensor unit (300) during its passage into the body (100);It is configured to enable the analysis of surface scanning data received from the sensor unit (300); as a result of the analysis, to determine the coordinate information, angle information and dimensions of the sheet metal (500) on the loading pallet (200).
2. According to claim 1, the sheet metal processing machine (10) has the characteristic that the sensing unit (300) contains at least one image sensor.
3. According to claim 1, the sheet metal processing machine (10) has the characteristic that the sensing unit (300) contains at least one laser rangefinder.
4. According to claim 1, a sheet metal processing machine (10) is characterized by containing a drive element (220) that controls the movement of the loading pallet (200).
5. According to claim 5, a sheet metal processing machine (10) is characterized by the fact that the processor unit (400) is configured to receive the position data of the loading pallet (200) from a motion sensor (230) to the aforementioned drive element (220).
6. According to the claim, a sheet metal processing machine (10) is configured to calculate a position data according to a reference element (210) provided on the loading pallet (200) in order to determine the position of the sheet metal (500) on the loading pallet (200) of the processing unit (400).
7. According to Claim 1, a sheet metal processing method in a sheet metal processing machine (10) has the following characteristics: - Placing at least one sheet metal plate (500) on the loading pallet (200), - The loading pallet (200) carrying the said sheet metal plate (500) into the body (100) by means of the drive element (220), - Scanning the surface of the sheet metal on the loading pallet into the body (100) by means of the sensor unit (300), - Determining the lateral length, height and position and angle of the sheet metal plate (500) on the sheet metal plate (500) during the transfer of the sheet metal on the loading pallet into the body (100), - Obtaining a position data containing the lateral length, height and position and angle of the sheet metal plate (500) on the loading pallet (200) from the sensor unit (300) by means of the processor unit (400), - Analyzing the said position data obtained from the sensor unit (300) by means of the processor unit (400) using an artificial intelligence algorithm,- According to the analysis result, the position to be processed on the sheet metal (500) must be determined and configured to carry out the processing steps.
8. According to claim 7, a sheet metal processing method in a sheet metal processing machine (10) is characterized by the following steps: obtaining position data from the sensor unit (300) via the processor unit (400) including the lateral length, height and position of the sheet metal (500) on the loading pallet (200) and its angle; analyzing the aforementioned position data from the sensor unit (300) via the processor unit (400) using an artificial intelligence algorithm; and obtaining vertical position data from the motion sensor (230) via the processor unit (400) of the sheet metal (500) on the loading pallet (200).
9. According to claim 7, a sheet metal processing method in a sheet metal processing machine (10) has 5 features; the step is to obtain position data from the sensor unit (300) via the processor unit (400) including the lateral length, height and position of the sheet metal (500) on the loading pallet (200) and its angle, and the step is to analyze the aforementioned position data from the sensor unit (300) via the processor unit (400) using an artificial intelligence algorithm, and the step is to calculate the vertical position data of the sheet metal (500) on the loading pallet (200) according to the reference element (210) via the processor unit (400).