Fiber-bundle laser guide system driven by artificial intelligence

Abstract

A fiber-bundle laser guide system driven by artificial intelligence (AI). The system comprises a laser diode module (110), a fiber-bundle transmission system (120), a focal-length adjustment system (130), an AI system (140) and a control processing module (150). The AI system (140) comprises a database unit (141), a learning and training unit (142), a parameter optimization setting unit (143), a condition restriction unit (144) and an AI model processing unit (145). Optimal settings are provided on the basis of different substrate characteristics, and an intelligent control instruction is transmitted to the control processing module (150). Subsequently, the control processing module (150) transmits a control instruction to the laser diode module (110) and the focal-length adjustment system (130) on the basis of the intelligent control instruction and related data, and performs machining work on a substrate by means of line scanning.

Description

AI-driven clustered fiber-guided laser system Technical Field

[0001] The present invention relates to a laser system, and more particularly to an artificial intelligence-driven bundled fiber-guided laser system. Background Art

[0002] Laser processing is a common processing technique, especially in many substrate fabrication plants. Typically, these plants process numerous substrates by firing a laser beam at the substrates. However, current substrate fabrication plants face challenges. The laser processing positions vary from substrate to substrate, and substrate sizes also vary. Consequently, each operation requires manual resetting of the laser beam position before continuing. This prevents simultaneous laser processing of substrates of varying sizes.

[0003] Furthermore, laser welding often experiences large energy fluctuations in a short period of time, which can easily lead to defects such as overburning, dents, or perforations, significantly impacting weld quality. Key factors influencing energy fluctuations include the start and end point of the laser turning on and off, as well as the acceleration and deceleration of the weld movement.

[0004] Therefore, how to solve the above problems and deficiencies of the prior art has become a research and development topic that relevant industry players are eager to address.

[0005] Summary of the Invention

[0006] The purpose of the present invention is to provide a bundled fiber guided laser system driven by artificial intelligence.

[0007] The present invention provides a cluster fiber guided laser system driven by artificial intelligence, which is used to perform processing operations on at least one substrate placed on a laser processing machine. The cluster fiber guided laser system driven by artificial intelligence includes a laser diode module, a cluster fiber transmission system, a focus adjustment system, an artificial intelligence (AI) system and a control processing module. The artificial intelligence (AI) system includes a database unit, a learning and training unit, a parameter optimization setting unit, a condition restriction unit and an AI model processing unit. The laser diode module has a plurality of laser diodes, which are used to emit a plurality of laser beams. The cluster fiber transmission system has a plurality of optical fibers therein and each of the optical fibers is connected to a different laser diode, and an output port of the cluster fiber transmission system emits the plurality of laser beams. The focus adjustment system is arranged to be connected to the output port of the cluster fiber transmission system, and the focus adjustment system is used to adjust the focus size. An artificial intelligence (AI) system is configured to learn and pre-train the number and output power of the plurality of laser diodes, the required energy, movement speed, focus adjustment, the type and size of the at least one substrate, the thickness of the at least one substrate, the color and thickness of the solder mask layer, and the depth around the plurality of pads, and automatically optimize all of the plurality of processing parameters based on the characteristics of the substrate to be processed. A database unit is configured to contain data related to the number and output power of the plurality of laser diodes, the required energy, movement speed, focus adjustment, the type and size of the at least one substrate, the thickness of the at least one substrate, the material of the at least one substrate, the color and thickness of the solder mask layer, and the depth around the plurality of pads. The database unit is connected to a cloud platform via the Internet for online data update. A learning and training unit is connected to the database unit and performs learning and pre-training based on the relevant data in the database unit using a substrate deep learning algorithm. A parameter optimization setting unit, connected to the database unit, configured to optimize the setting of the multiple processing parameters based on relevant data regarding the number and output power of the multiple laser diodes, the required energy level, the moving speed, the focus adjustment level, the type of the at least one substrate, the size of the at least one substrate, the thickness of the at least one substrate, the material of the at least one substrate, the color of the solder mask layer, the thickness of the solder mask layer, and the depth around the multiple solder pads. A condition restriction unit, connected to the learning and training unit, configured to limit the learning deviation of the artificial intelligence (AI) system by setting multiple conditions. An AI model processing unit, connected to the learning and training unit and the parameter optimization setting unit, configured to learn and train an AI model through the learning and training unit, wherein the AI ​​model processing unit serves as the AI ​​brain of the artificial intelligence system.A control processing module is connected to the AI ​​model processing unit, the multiple laser diodes and the focal length adjustment system. The control processing module generates a control instruction based on the instructions and related data transmitted by the AI ​​model processing unit to enable the multiple laser diodes to perform processing operations on the substrate.

[0008] In one embodiment of the present invention, the output power of each of the laser diodes is between 0.1 milliwatts and 50 watts.

[0009] In one embodiment of the present invention, the plurality of laser diodes, the bundled fiber transmission system, and the focus adjustment system are combined into a laser processing module, which processes the substrate according to the control instructions and a circuit layout diagram transmitted by the control processing module.

[0010] In one embodiment of the present invention, the artificial intelligence (AI) system predicts or adjusts the laser spot size and shape according to the processing path, the construction pattern, and the energy required by the material.

[0011] In one embodiment of the present invention, the artificial intelligence (AI) system determines the required energy and movement speed according to the output power, the material and thickness of the ablation area.

[0012] In one embodiment of the present invention, the number of the plurality of laser diodes is between 1 and 10,000.

[0013] In one embodiment of the present invention, each of the laser diodes is one of an infrared laser diode, a red laser diode, a blue laser diode, and a green laser diode.

[0014] In summary, the AI-driven, bundled fiber-guided laser system provided by the present invention can provide the following benefits:

[0015] 1. Laser output power can be modularly expanded to meet flexible needs;

[0016] 2. AI calculations can predetermine the required energy and movement speed to improve processing efficiency; and

[0017] 3. No excessive energy is wasted during processing operations.

[0018] The following detailed description is made through specific embodiments to make it easier to understand the purpose, technical content, characteristics and effects achieved by the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] FIG1 is a block diagram of an artificial intelligence-driven bundled fiber-guided laser system according to the present invention.

[0020] FIG. 2 is a schematic diagram of a bundled optical fiber transmission system and multiple laser diodes according to the present invention.

[0021] FIG3 is a schematic diagram of the processing of the artificial intelligence-driven bundled fiber guided laser system of the present invention.

[0022] FIG4 is another schematic diagram of processing using an artificial intelligence-driven bundled fiber-guided laser system according to the present invention.

[0023] Explanation of the accompanying symbols: 100 - bundled fiber-guided laser system driven by artificial intelligence; 110 - laser diode module; 112 - laser diode; 120 - bundled fiber transmission system; 122 - optical fiber; 130 - focal length adjustment system; 140 - artificial intelligence (AI) system; 141 - database unit; 142 - learning and training unit; 143 - parameter optimization setting unit; 144 - condition restriction unit; 145 - AI model processing unit; 150 - control processing module; 200 - substrate; 300 - cloud platform; 400 - laser processing module; ACS - intelligent control command; CS - control command; MT - laser processing machine; NT - Internet; L - laser beam. DETAILED DESCRIPTION

[0024] After years of research and development, the inventors have improved the shortcomings of existing products. The following will detail how the present invention uses an artificial intelligence-driven, bundled fiber-guided laser system to achieve the most efficient functional requirements.

[0025] Please refer to Figures 1 to 4. Figure 1 is a block diagram of the AI-driven, bundled fiber-guided laser system of the present invention. Figure 2 is a schematic diagram of the bundled fiber transmission system and multiple laser diodes of the present invention. Figure 3 is a schematic diagram of the AI-driven, bundled fiber-guided laser system of the present invention performing processing. Figure 4 is another schematic diagram of the AI-driven, bundled fiber-guided laser system of the present invention performing processing. As shown in the figures, in this embodiment, the AI-driven, bundled fiber-guided laser system 100 is used to perform processing operations on at least one substrate 200 placed on a laser processing machine MT.

[0026] The AI-driven bundled fiber guided laser system 100 includes a laser diode module 110, a bundled fiber transmission system 120, a focus adjustment system 130, an artificial intelligence (AI) system 140, and a control processing module 150. The AI ​​system 140 includes a database unit 141, a learning and training unit 142, a parameter optimization setting unit 143, a condition restriction unit 144, and an AI model processing unit 145. The laser diode module 110 has a plurality of laser diodes 112 for emitting a plurality of laser beams L, wherein the output power of each laser diode 112 ranges from 0.1 milliwatts to 50 watts, and the number of the plurality of laser diodes 112 ranges from 1 to 10,000, and the actual number can be set according to application requirements. Each laser diode 112 is one of an infrared laser diode, a red laser diode, a blue laser diode, and a green laser, and can be configured according to actual requirements.

[0027] The bundled fiber optic transmission system 120 includes multiple optical fibers 122, each of which is electrically connected to a different laser diode 112. An output port of the bundled fiber optic transmission system 120 emits the multiple laser beams L. Compared to systems using lenses, reflectors, and prisms, the bundled fiber optic transmission system 120 is smaller, simpler, more flexible, and more convenient, allowing it to process areas that are difficult to process with conventional systems. The bundled fiber optic transmission system 120 easily allows a single laser to be directed to multiple processing locations, either alternately or simultaneously. A focal length adjustment system 130 is connected to the output port of the bundled fiber optic transmission system 120 and is used to adjust the focus. The artificial intelligence (AI) system 140 is used to learn and pre-train the number and output power of the multiple laser diodes 112, the required energy, the movement speed, the focus adjustment size, the type of the at least one substrate 200, the size of the at least one substrate 200, the thickness of the at least one substrate 200, the color of the solder mask layer, the thickness of the solder mask layer, and the depth around the multiple pads, and automatically optimize the settings of all multiple processing parameters based on the characteristics of the substrate 200 to be processed.

[0028] The database unit 141 contains data related to the number and output power of the plurality of laser diodes 112, the required energy level, the movement speed, the focus adjustment level, the type of the at least one substrate 200, the size of the at least one substrate 200, the thickness of the at least one substrate 200, the material of the at least one substrate 200, the color of the solder mask layer, the thickness of the solder mask layer, and the depth around the plurality of solder pads. The database unit 141 is connected to a cloud platform 300 via the Internet NT for online updating of the relevant data. The learning and training unit 142 is connected to the database unit 141 and performs learning and pre-training based on the relevant data in the database unit 141 using a substrate deep learning algorithm. The parameter optimization setting unit 143 is connected to the database unit 141. The parameter optimization setting unit 143 is used to optimize the multiple processing parameters based on the number and output power of the multiple laser diodes 112, the required energy size, the moving speed, the focus adjustment size, the type of the at least one substrate 200, the size of the at least one substrate 200, the thickness of the at least one substrate 200, the material of the at least one substrate 200, the color of the solder mask layer, the thickness of the solder mask layer and the depth around the multiple pads.

[0029] A conditional restriction unit 144 is connected to the learning and training unit 142 and is used to limit the learning deviation of the artificial intelligence (AI) system 140 by setting multiple conditions. An AI model processing unit 145 is connected to the learning and training unit 142 and the parameter optimization setting unit 143. The AI ​​model processing unit 145 learns and trains an AI model through the learning and training unit 142, wherein the AI ​​model processing unit 145 serves as the AI ​​brain of the artificial intelligence system 140. A control processing module 150 is connected to the AI ​​model processing unit 145, the plurality of laser diodes 112, and the focus adjustment system 130. The control processing module 150 generates a control instruction CS based on the instructions and related data transmitted by the AI ​​model processing unit 145 to enable the plurality of laser diodes 112 to perform processing operations on the substrate 200. The multiple laser diodes 112, the bundled fiber transmission system 120 and the focus adjustment system 130 are combined into a laser processing module 400, which processes the substrate 200 according to the control instruction CS and a circuit layout diagram transmitted by the control processing module 150. The artificial intelligence (AI) system 140 predicts or adjusts the laser spot size and shape based on the processing path, the construction pattern and the energy required for the material. The artificial intelligence (AI) system 140 determines the required energy and the moving speed of the laser processing module 400 based on the output power, the material and thickness of the ablation area. It is worth noting that when the substrate 200 is being processed, the energy required for each area of ​​the substrate 200 may be different due to various factors, so it is necessary to use the artificial intelligence (AI) system 140 to pre-calculate based on various factors to improve the processing efficiency and yield of the substrate 200.

[0030] Furthermore, before officially performing laser processing on the substrate 200, the operator will import relevant process parameters and circuit layout diagrams to allow the AI ​​model processing unit 145 of the artificial intelligence system 140 to calculate the required energy and the movement speed of the laser processing module 400 to achieve the optimal effect. Because the AI ​​model processing unit 145 has been pre-trained with a large amount of data or big data from practical operations, it can provide optimized settings based on different substrate characteristics and transmit intelligent control instructions ACS to the control processing module 150. Next, the control processing module 150 transmits a control instruction CS to the laser diode module 110 and the focus adjustment system 130 based on the intelligent control instruction ACS and related data, and processes the substrate 200 using a line scan method.

[0031] In summary, the AI-driven, bundled fiber-guided laser system provided by the present invention can provide the following benefits:

[0032] 1. Laser output power can be modularly expanded to meet flexible needs;

[0033] 2. AI calculations can predetermine the required energy and movement speed to improve processing efficiency; and

[0034] 3. No excessive energy is wasted during processing operations.

[0035] The above description is only a preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Therefore, all equivalent changes or modifications based on the features and spirit of the claims of the present invention should be included in the scope of the present invention.

Claims

1. An artificial intelligence-driven, bundled fiber-guided laser system for processing at least one substrate mounted on a laser processing machine, characterized in that: The AI-powered, clustered fiber-guided laser system includes: a laser diode module having a plurality of laser diodes for emitting a plurality of laser beams; a bundled optical fiber transmission system having a plurality of optical fibers therein, each optical fiber being connected to a different laser diode, and an output port of the bundled optical fiber transmission system emitting the plurality of laser beams; a focus adjustment system connected to the output port of the bundled optical fiber transmission system, the focus adjustment system being used to adjust the focus size; An artificial intelligence system is configured to learn and pre-train the number and output power of the plurality of laser diodes, the required energy, the movement speed, the focus adjustment size, the type of the at least one substrate, the size of the at least one substrate, the thickness of the at least one substrate, the color of the solder mask layer, the thickness of the solder mask layer, and the depth around the plurality of solder pads, and automatically optimize all of the plurality of processing parameters based on the characteristics of the substrate to be processed, the artificial intelligence system comprising: a database unit having data related to the number and output power of the plurality of laser diodes, required energy level, movement speed, focus adjustment level, type of the at least one substrate, size of the at least one substrate, thickness of the at least one substrate, material of the at least one substrate, color of the solder mask layer, thickness of the solder mask layer, and depth around the plurality of solder pads, wherein the database unit is connected to a cloud platform via the Internet to update the relevant data online; a learning and training unit connected to the database unit, the learning and training unit performing learning and pre-training based on relevant data in the database unit through a substrate deep learning algorithm; a parameter optimization setting unit connected to the database unit, configured to optimize the plurality of processing parameters based on data related to the number and output power of the plurality of laser diodes, required energy level, movement speed, focus adjustment level, type of the at least one substrate, size of the at least one substrate, thickness of the at least one substrate, material of the at least one substrate, color of the solder resist layer, thickness of the solder resist layer, and depth around the plurality of solder pads; a conditional restriction unit connected to the learning and training unit, the conditional restriction unit being configured to restrict the learning deviation of the artificial intelligence system by setting a plurality of conditions; and An AI model processing unit is connected to the learning and training unit and the parameter optimization setting unit, and the AI ​​model processing unit learns and trains an AI model through the learning and training unit, wherein the The AI ​​model processing unit is the AI ​​brain of the artificial intelligence system; and A control processing module is connected to the AI ​​model processing unit, the multiple laser diodes and the focus adjustment system. The control processing module generates a control instruction based on the instructions and related data transmitted by the AI ​​model processing unit to enable the multiple laser diodes to perform processing operations on the substrate.

2. The artificial intelligence-driven bundled fiber-guided laser system according to claim 1, wherein: The output power of each laser diode is between 0.1 milliwatts and 50 watts.

3. The artificial intelligence-driven bundled fiber-guided laser system according to claim 1, wherein: The plurality of laser diodes, the bundled optical fiber transmission system and the focus adjustment system are combined into a laser processing module, which processes the substrate according to the control instruction and a circuit layout diagram transmitted by the control processing module.

4. The artificial intelligence-driven bundled fiber-guided laser system according to claim 1, wherein: The artificial intelligence system predicts or adjusts the size and shape of the laser spot based on the processing path, the construction graphics and the energy required by the material.

5. The artificial intelligence-driven bundled fiber-guided laser system according to claim 1, wherein: The artificial intelligence system determines the required energy and movement speed based on the output power, material and thickness of the ablation area.

6. The artificial intelligence-driven bundled fiber-guided laser system according to claim 1, wherein: The number of the plurality of laser diodes is between 1 and 10,000.

7. The artificial intelligence-driven bundled fiber-guided laser system according to claim 1, wherein: Each of the laser diodes is one of an infrared laser diode, a red laser diode, a blue laser diode, and a green laser diode.

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