TWI716136B - Electroplating surface treatment process combined with artificial intelligence management - Google Patents

Abstract

An electroplating surface treatment process combined with artificial intelligence management, which includes: an electroplating equipment, an online testing instrument and a cloud artificial intelligence bank. The online analysis processing unit is used to search for the corresponding control factor parameter and the control variable parameter In the analysis, the manufacturing capacity parameters are used to exclude the corresponding process parameters that the electroplating equipment is not capable of producing, and then the most appropriate process parameters are obtained through comprehensive calculations, so as to input the most appropriate process parameters into the electroplating equipment for the electroplating process, and in the process Utilize the real-time detection of the online testing instrument and the real-time analysis of the online analysis and processing unit, and then manually or automatically fine-tune the parameters to meet the processing goals, so as to quickly and low-cost select the most appropriate process parameters, so as to improve quality, shorten the process time and Industrial competitiveness.

Description

Electroplating surface treatment process combined with artificial intelligence management

The present invention relates to a plastic electroplating process, in particular to an electroplating surface treatment process that can quickly and cost-effectively select the most appropriate process parameters combined with artificial intelligence management.

With the rapid development of industry, the application of plastic electroplating has become more and more widely used, and it has become one of the important methods of plastic surface treatment. However, plastics are generally poor conductors of electricity. To electroplating like metal, it must be conductive. Therefore, the current commercial technology mostly uses chemical plating to attach a metal film to the surface of the plastic, and then perform subsequent processes such as copper plating or nickel plating (and chrome plating). A typical plastic plating process may have more than ten procedures. There are more than three operating conditions in one process, so the entire plastic electroplating process has more than 20 variables that affect the electroplating quality. How to effectively control the process operating conditions to obtain the best electroplating quality at the lowest production cost is the current plastic electroplating industry A big challenge.

The conventional plastic electroplating process can be said to rely solely on the operator’s experience, and this experience relies on years of accumulation, not only difficult to systematically control, but also due to intuition and unavoidable mistakes, resulting in a decrease in yield. In the manufacturing process, in order to effectively find the best process parameters, the Design of Experiment (DOE) is often used. Although the appropriate process parameters can be selected by this method, there are still the following problems in practical operation that need to be overcome : (1). Time and cost considerations: Because the experimental planning method requires repeated experiments to obtain appropriate process parameters, although orthogonal tables and other designs can be used to reduce the number of experiments, it still faces practical challenges in terms of experimental time and cost. Test; (2) The problem of experimental operation: in order to find out effectively For the production process conditions, the experimental planning method often requires manpower for experimental operations in order to control the experimental process and analyze it effectively with statistical methods. However, this professional manpower is still quite lacking for the general manufacturing industry. This problem also forms an experiment. Obstacles to the promotion of law.

In view of this, the inventor of the present invention has been engaged in the manufacturing, development and design of related products for many years. Aiming at the above-mentioned goals, after detailed design and careful evaluation, he finally obtained a practical invention.

The technical problem to be solved by the present invention is to provide an electroplating surface treatment process combined with artificial intelligence management in response to the above-mentioned defects in the prior art.

An electroplating equipment carries out the plastic electroplating process on the plastic surface. The plastic electroplating process includes degreasing process, roughening process, pickling neutralization, activated palladium process, acceleration, electroless nickel plating, pre-plating copper, light copper plating, and semi- Light nickel, light nickel electroplating and chromium plating, the above procedures all include a plurality of control factor parameters and at least one control variable parameter, and the control factor parameter is obtained by known electrochemical theory. The first-line detection instrument uses a plurality of sensing The device detects the temperature, pH value, concentration of various chemical substances and ion concentration in each program solution in the electroplating equipment, and obtains the control variable parameters according to the detection data of the finished product. A cloud artificial intelligence bank includes an online data A market and an online analysis and processing unit. The online data market collects and stores the control factor parameter and the control variable parameter. The user inputs at least one manufacturing capacity parameter and at least one finished product target parameter in the online data market. Through this search and calculation to obtain the most appropriate process parameters.

Among them, the plastic processed by the electroplating equipment is ABS plastic, polycarbonate (PC) or nylon (PA).

Among them, the plastic electroplating process has a degreasing process and a roughening process according to the needs of the finished product. Sequence, pickling neutralization, palladium activation, acceleration, electroless nickel plating, copper pre-plating, light copper plating, semi-gloss nickel, light nickel plating or chrome plating.

Among them, the analysis method of the online analysis processing unit includes the comprehensive process capability index Cpk and the signal noise ratio (S/N ratio) of Taguchi method.

Among them, the cloud artificial intelligence bank is shared with the user's APP and computer through the cloud to monitor and manually adjust the parameters, so that it has the effect of real-time control and improved resilience.

The main purpose of the present invention is to use the online analysis and processing unit to search for the corresponding control factor parameter and the control variable parameter, and first use the manufacturing capacity parameter to exclude the corresponding process parameter that the electroplating equipment is unable to produce during the analysis. The most appropriate process parameters are obtained through comprehensive calculations, and the most appropriate process parameters are input to the electroplating equipment for the electroplating process. In the process, real-time detection by online inspection equipment and real-time analysis by the online analysis processing unit are used to fine-tune the temperature manually or automatically. , PH value, concentration of various chemical substances and ion concentration, so that the electroplated finished product meets the processing target, and upload all the data to the online data market simultaneously, which can optimize the data volume and analysis accuracy of the cloud artificial intelligence bank. This quick and low-cost selection of the most appropriate process parameters can improve quality, shorten process time and industrial competitiveness.

Other purposes, advantages and novel features of the present invention will be more apparent from the following detailed description and related drawings.

[This creation]

10‧‧‧Plating equipment

11‧‧‧Control factor parameters

12‧‧‧Control variable parameters

20‧‧‧Online testing equipment

21‧‧‧Sensor

30‧‧‧Cloud Artificial Intelligence Bank

31‧‧‧Online data market

32‧‧‧Online analysis and processing unit

33‧‧‧Manufacturing capacity parameters

34‧‧‧Product target parameters

35‧‧‧Process parameters

Figure 1 is a schematic diagram of the electroplating process of the present invention (1).

Figure 2 is a schematic diagram (2) of the electroplating process of the present invention.

In order to enable your reviewer to have a further understanding and understanding of the purpose, features and effects of the present invention, please cooperate with [Schematic Description] as detailed below: All paragraphs are shown in Figure 1 and Figure 2. In view of this, an electroplating surface treatment process combined with artificial intelligence management includes: an electroplating equipment 10, an online testing instrument 20 and a cloud artificial intelligence bank 30, an electroplating equipment 10 performs a plastic electroplating process on the plastic surface, and the plastic It can be used for ABS plastic (Acrylonitrile-Butadiene-Styrene resin), polycarbonate (PC), nylon (PA), and the plastic electroplating process can be selected according to the needs of the finished product. There are degreasing procedures, roughening procedures, pickling neutralization, activated palladium procedures, and acceleration Chemical, chemical nickel plating, copper pre-plating, light copper plating, semi-gloss nickel, light nickel plating and chromium plating (as shown in Table 1), the above procedures all include a plurality of control factor parameters 11 and at least one control variable parameter 12 , And the control factor parameter 11 is obtained from the known electrochemical theory, which is the basic parameter of each procedure, for example: the roughening procedure (chemical etching) is used to increase the adhesion between the metal coating and the plastic surface, and make the plastic surface hydrophilic , All parts of the plastic surface are evenly wetted by water in order to evenly adsorb metal ions. Taking ABS plastic products as an example, the roughening process can use CrO ₃ -H ₂ SO ₄ -H ₂ O etching system, which contains hexavalent chromium. During the coarsening process, the etching temperature, etching time, chromic acid concentration, sulfuric acid concentration, trivalent chromium concentration, and chromic acid-sulfuric acid concentration ratio are the control factor parameters 11 that affect the coarsening process. In addition, some additives can be added , In order to ensure the uniformity of the etching, the control factor parameter 11 of the additive concentration is increased, and the corresponding control variable parameter 12 is the surface roughness of the plastic material and the hydrophilicity of the plastic material surface;

The first-line detection instrument 20 uses a plurality of sensors 21 to detect the temperature, pH value, concentration of various chemical substances and ion concentration in each program solution in the electroplating equipment 10, and obtains the control change according to the detection data of the finished product. Due to the parameter 12, a cloud artificial intelligence bank 30 includes an online data mart 31 and an online analysis and processing unit 32. The online data mart 31 collects and stores the control factor parameter 11 and the control variable parameter 12, and in the data collection In terms of storage and storage, it mainly organizes and files the huge data accumulated in the electroplating process, so that decision-makers can quickly obtain effective and real-time decision-making references. In the data analysis, artificial intelligence, statistics, A variety of technologies such as neural network automatically analyze the original electroplating process data, make inductive reasoning, and dig out potential patterns from it. Among them, the On-Line Analytical Processing (OLAP) 32 is a kind of data Analysis method, which allows users to browse and query a large amount of data simultaneously, and find the required control factor parameter 11 and the control variable parameter 12, and then track down the problem and seek feasible solutions, and then real-time Analysis of the required process parameters. The analysis methods include the comprehensive process capability index Cpk (Process Capability Index) and the signal-to-noise ratio (S/N ratio) of the Taguchi Methods. It can also be other with the same or Similar function analysis method; the user inputs at least one manufacturing capacity parameter 33 and at least one finished product target parameter 34 in the online data market 31, and uses the online analysis processing unit 32 to search for the corresponding control factor parameter 11 and the control For the variable factor parameter 12, the manufacturing capability parameter 33 is used to exclude the corresponding process parameter 35 that the electroplating equipment 10 is not capable of producing during the analysis. That is, the process capability check is performed through the comprehensive process capability index Cpk before the parameter selection, for example, when Cpk When the value is greater than 1.67, it means that the product's manufacturing capacity has reached the specification requirements, and this parameter value is retained. When the Cpk value is less than 1.67, it means that the product's manufacturing capacity does not meet the specification requirements, and this parameter value is directly deleted, and the signal noise ratio is (S/N ratio) The most appropriate process parameter 35 is obtained by comprehensive calculation. The higher the S/N ratio, the less the quality loss. The most appropriate process parameter 35 is found according to the selection characteristics, and the most appropriate process parameter 35 is input to the plating The equipment 10 performs the electroplating process, and uses the real-time detection of the online detection instrument and the real-time analysis of the online analysis and processing unit during the process, that is, the quality requirements of any workpiece correspond to the concentration of the electroplating solution in the process, and the concentration of the electroplating solution is transparent Online testing equipment 20 or manual testing is uploaded to the cloud artificial intelligence bank 30, and then the Taguchi method and signal noise ratio (S/N ratio) are used to find significantly higher control factor parameters in the cloud data of the cloud artificial intelligence bank 30. 11 And control change Because of the parameter 12, a simulation experiment is performed through a neural network to verify the control strategy of the Taguchi method, and then the most appropriate process parameter 35 is found, and the most appropriate process parameter 35 is input into the electroplating equipment 10 for the electroplating process, so the workpiece is When the process corresponds to the most appropriate process parameter 35, if the online detection instrument 20 detects that the temperature, pH, concentration of various chemical substances and ion concentration in the electroplating solution exceed the upper and lower limits of the most appropriate process parameter 35, the cloud will manually Mind Bank 30 informs immediately, and then manually or automatically fine-tunes the temperature, pH, concentration of various chemical substances and ion concentration to make the electroplated finished product meet the processing target, and simultaneously upload all data to the online data market 31, and the cloud The artificial intelligence bank 30 shares the user’s APP and computer through the cloud to monitor and manually adjust the parameters, so that it has real-time control and improved resilience. It can also optimize the data volume and analysis accuracy of the cloud artificial intelligence bank 30. This quick and low-cost selection of the most appropriate process parameters can improve quality, shorten process time and industrial competitiveness.

In summary, the present invention has indeed achieved a breakthrough structural design, and has an improved content of the invention. At the same time, it can achieve industrial applicability and progress. Moreover, the present invention has not been seen in any publications and is novel. In accordance with the relevant provisions of the Patent Law, Yan filed an application for an invention patent in accordance with the law, and I implore the Jun Bureau review committee to grant a legal patent.

Only the above is only a preferred embodiment of the present invention, and should not be used to limit the scope of implementation of the present invention; that is, all equal changes and modifications made in accordance with the scope of the patent application of the present invention shall still belong to the present invention Covered by the patent.

10‧‧‧Plating equipment

11‧‧‧Control factor parameters

12‧‧‧Control variable parameters

20‧‧‧Online testing equipment

21‧‧‧Sensor

30‧‧‧Cloud Artificial Intelligence Bank

31‧‧‧Online data market

32‧‧‧Online analysis and processing unit

33‧‧‧Manufacturing capacity parameters

34‧‧‧Product target parameters

35‧‧‧Process parameters

Claims (2)

An electroplating surface treatment process combined with artificial intelligence management, which includes: an electroplating equipment that performs a plastic electroplating process on the plastic surface; the plastic processed by the electroplating equipment is ABS plastic, polycarbonate (PC) or nylon (PA) ), the plastic electroplating process can be selected according to the needs of the finished product, including degreasing process, roughening process, pickling neutralization, activated palladium process, acceleration, electroless nickel plating, pre-plating copper, light copper plating, semi-gloss nickel, light nickel plating and chromium plating. The above procedures all include a plurality of control factor parameters and at least one control variable parameter, and the control factor parameter is obtained by known electrochemical theory; an online detection instrument, the online detection instrument uses a plurality of sensors to detect the electroplating The temperature, pH value, concentration of various chemical substances and ion concentration in each program solution in the equipment are also coordinated with the detection data of the finished product to obtain the control variable parameters; and a cloud artificial intelligence bank, which includes There is an online data market and an online analysis and processing unit. The online data market collects and stores the control factor parameter and the control variable parameter. The user inputs at least one manufacturing capacity parameter and at least one product target parameter in the online data. In the market, the online analysis and processing unit is used to search for the corresponding control factor parameter and the control variable parameter. In the analysis, the manufacturing capacity parameter is used to exclude the corresponding process parameters that the electroplating equipment is unable to produce, and then the comprehensive calculation is performed to obtain the most Appropriate process parameters, by which the most appropriate process parameters are input to the electroplating equipment for the electroplating process, and the on-line inspection instrument’s real-time detection and the on-line analysis processing unit’s real-time analysis are used in the process to manually or automatically fine-tune the temperature and pH value , Various chemical substance concentration and ion concentration, make the electroplated finished product meet the processing target, and upload all the data to the online data market simultaneously, which can optimize the data volume and analysis accuracy of the cloud artificial intelligence bank, which is fast and low The most appropriate choice of cost Process parameters to improve quality, shorten process time and industrial competitiveness. According to the electroplating surface treatment process combined with artificial intelligence management described in item 1 of the scope of patent application, the cloud artificial intelligence bank is shared with the user APP and computer through the cloud to monitor and manually adjust the parameters, so that it has real-time control and The effect of improving resilience.

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