Die cast machine for energy saving, and die opening / closing parameter optimization method of injection molding machine

Abstract

To provide a die cast machine for energy saving, and to provide a die opening / closing parameter optimization method of an injection molding machine, according to the present invention.SOLUTION: Included are step 1 of acquiring each of a die opening power and a die opening speed of a die cast machine or an injection molding machine, and a relational expression of a die position, and of acquiring each of a die closing power and a die closing speed, and a relational expression of the die position via a test; step 2 of establishing an optimization model targeting minimization of energy saving and time with a vibration impact as a constraint with respect to each of a die opening process and a die closing process; and step 3 of outputting a Pareto optimal solution set of a die opening parameter and a die closing parameter by solving the optimization model of each of the die opening process and the die closing process. The present invention capable of effectively decoupling complicate relations to a die opening / closing parameter and a die opening / closing time, the energy saving, and the vibration impact can solve a difficult problem of parameter optimization in a die opening / closing process with high quality by quickly searching the parameter optimization.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to the technical field of efficient and energy-saving operation optimization of die casting machines and injection molding machines, and more particularly to a method for optimizing mold opening and closing parameters of die casting machines and injection molding machines for energy saving. [Background technology]

[0002] Die casting machines are important equipment for casting non-ferrous metals such as aluminum and magnesium, and are characterized by large production volume and wide application range. China is currently the world's largest producer and consumer of die casting machines. Aluminum and magnesium alloy die casting materials are mainly used in the automotive industry, and more than 50% of aluminum and magnesium alloy castings for automobiles are produced by die casting. One of the trends in the lightweighting of China's automotive industry is "substituting aluminum for steel and casting for forging" and "large-scale integrated die casting", which will further promote the use of die casting machines. Injection molding machines are the most common plastic molding equipment, and are used to produce the vast majority of plastic products. They are also characterized by large production volume and wide application range. China is also the world's largest producer and consumer of injection molding machines. Die casting machines and injection molding machines have many things in common, the biggest of which is that the mold opening mechanism, mold clamping mechanism, mold opening parameters and mold clamping parameters are basically the same. Mold opening and clamping (collectively referred to as mold opening and closing) are important processes in die casting and injection molding. Mold opening and closing parameters have significant effects on product quality, machine stability, machine service life and energy consumption. How to efficiently determine the optimal mold opening and closing parameters is one of the technical challenges facing operators of die casting and injection molding processes.

[0003] Energy-saving die casting machines and injection molding machines basically use hydraulic servo control systems. Figure 1 shows the mold opening and closing mechanism of a die casting machine and an injection molding machine. This type of mold opening and closing mechanism uses a servo control device + servo motor + metering pump as the power source of the hydraulic system, and a hydraulic cylinder as the actuator element for opening and closing the mold. A commonly seen die casting machine or injection molding machine with three die plates will add a double toggle mechanism between the hydraulic cylinder and the movable die plate, and a commonly seen die casting machine or injection molding machine with two die plates will directly drive the movable die plate by four small hydraulic cylinders. As shown in (a) and (b) in Figure 2, most die casting machines and injection molding machines divide the mold opening and closing process into four stages, the mold closing process includes high-speed mold closing, low-speed mold closing, low-pressure mold closing, and high-pressure mold closing, and the mold opening process includes high-pressure mold opening, low-pressure mold opening, high-speed mold opening, and low-speed mold opening. The names of the four stages of mold opening and closing in die casting machines and injection molding machines made by different manufacturers may be different, but they have similar functions and characteristics. The parameters that need to be set in the mold opening and closing process include the speed, pressure, and start and stop positions of each stage in the mold opening and closing process. The speed, pressure, and start and stop positions of each stage in the four processes of low-pressure mold closing, high-pressure mold closing, high-pressure mold opening, and low-pressure mold opening are related to the characteristics of the product and have few selectable values, and can be obtained through experience and fewer tests, and do not need to be optimized. The pressures required for high-speed mold closing, low-speed mold closing, high-speed mold opening, and low-speed mold opening are determined by external loads (mainly frictional forces) and do not need to be optimized. The setting ranges for each speed, as well as the high and low speed start and stop positions, of high and low speed clamping, high and low speed clamping, high and low speed clamping and opening have a wide range. These parameters affect the mold opening and closing time, machine stability, energy consumption, etc., making it difficult to obtain an optimal set of values.

[0004] For the parameter optimization problem of low speed, high speed, high and low speed switching position in injection molding machine, Chinese patent application published under No. CN106079333A proposes a method for automatically adjusting mold opening parameters of injection molding machine based on model-free optimization, which can obtain a set of more optimal parameters, but it still has the following shortcomings. First, it does not consider the energy consumption of the mold opening and closing process, the energy consumption of the mold opening and closing process is high, how to save energy is an urgent need, the mold opening and closing process is driven by a hydraulic servo system, and the hydraulic servo system has a certain difference in energy efficiency under different speeds and pressures, so one of the goals of optimizing the mold opening and closing parameters is to make the energy consumption sufficiently small. Second, it does not consider the time of mold opening and closing, in order to improve production efficiency, the shorter the mold opening and closing time, the better, so the second goal of optimizing the mold opening and closing parameters is to make the time sufficiently small. Third, the effects of impact and speed fluctuation during the mold opening and closing process are not quantified and taken into account. The sudden increase and decrease in speed during the mold opening and closing process have a significant impact on energy consumption, impact on equipment, and mold opening and closing stability, so they need to be taken into consideration.

[0005] For these reasons, it is now necessary to urgently tackle important technical challenges and research and develop methods for optimizing the mold opening and closing parameters of automated die casting machines and injection molding machines, so as to quickly obtain a set of parameters that meets the requirements of production quality and stability and has the smallest mold opening and closing time and the smallest energy consumption, which will effectively promote the smart and low-carbon implementation of die casting and injection molding processes. Summary of the Invention [Problem to be solved by the invention]

[0006] In view of the above, the present invention provides an energy-saving mold opening and closing parameter optimization method for die casting machines and injection molding machines, which can effectively decouple the complex relationships between the mold opening and closing parameters and the mold opening and closing time, energy consumption, and vibration and impact, and can quickly find the optimal parameters to high-quality solve the difficult problem of parameter optimization in the mold opening and closing process. [Means for solving the problem]

[0007] In a first aspect, the present invention provides a method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine for energy saving, comprising: step 1 of obtaining a relational equation between mold opening power, mold opening speed, and mold position, and a relational equation between mold clamping power, mold clamping speed, and mold position of the die casting machine or the injection molding machine through testing; step 2 of establishing an optimization model for each of the mold opening process and the mold clamping process, aiming at minimizing energy consumption and time with vibration impact as a constraint; and step 3 of solving the optimization models for each of the mold opening process and the mold clamping process, and outputting a Pareto optimal solution set of the mold opening parameters and a Pareto optimal solution set of the mold clamping parameters.

[0008] In a second aspect, the present invention provides an electronic device comprising a memory and a processor, the memory being coupled to the processor, the memory being for storing program data, and the processor executing the program data to realize the above-mentioned method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine.

[0009] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, the computer program realizing the above-mentioned method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine when the computer program is executed by a processor. Effect of the Invention

[0010] Compared with the prior art, the present invention has the following beneficial technical effects:

[0011] First, the method for optimizing the mold opening and closing parameters of the energy-saving die casting machine and injection molding machine of the present invention is the first to simultaneously consider the influence of the mold opening and closing parameters on the mold opening and closing impact, the mold opening and closing time, and the mold opening and closing energy consumption, so that the method can better meet the actual needs. The method for establishing and solving the multi-objective optimization model of the present invention can effectively decouple the complex relationship between the mold opening and closing parameters and the mold opening and closing time, energy consumption, and vibration impact, and can quickly and effectively find a set of parameters that meets the impact requirements and has the smallest time and energy consumption, thereby solving the difficult problem of parameter optimization in the mold opening and closing process in a high-quality manner.

[0012] Secondly, the energy-saving mold opening and closing parameter optimization method for die-casting machines and injection molding machines of the present invention can be integrated into the control systems of die-casting machines and injection molding machines to form an efficient and energy-saving mold opening and closing parameter optimization module, which can easily popularize and apply the present invention to a large area, effectively support reducing production costs, improving production quality and equipment service life, and contribute to the green and low-carbon development of the die-casting and injection molding industries. [Brief description of the drawings]

[0013] [Figure 1] FIG. 1 is a schematic diagram of the die opening and closing mechanism of a die casting machine and an injection molding machine. [Diagram 2] FIG. 2 is a schematic diagram of the mold opening and closing processes of a die casting machine and an injection molding machine, where (a) corresponds to the mold closing process and (b) corresponds to the mold opening process. [Diagram 3] FIG. 3 is a flowchart of a method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine according to the present invention. [Figure 4] FIG. 4 is a schematic diagram of an electronic device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] In order to more specifically describe the present invention, the technical solution of the present invention will be described in detail below through specific embodiments with reference to the drawings.

[0015] As shown in FIG. 3 , the method for optimizing mold opening and closing parameters of an energy-saving die-casting machine and an injection molding machine according to the present invention includes the following steps:

[0016] In step 1, the relationship between the mold opening power, mold opening speed, and mold position, as well as the relationship between the mold clamping power, mold clamping speed, and mold position of the die casting machine or injection molding machine are obtained through testing.

[0017] In sub-step 1.1, the voltage and current collection head of the power analyzer is connected to the power input line of the servo control device of the die casting machine or the injection molding machine so as to measure the total power of the servo control device and the motor; in sub-step 1.2, the die casting or injection molding mold of the product to be produced and the semi-finished product of the product are attached to the movable die plate of the die casting machine or the injection molding machine; in sub-step 1.3, the selectable section [V min ,V max ] uniformly take N points (N is an integer greater than 2, the larger the N, the better) from the TIFF2025000525000002.tif1127, and in sub-step 1.4, the maximum mold opening pressure and the selectable section [V min ,V max ], the velocity parameters v of N points in N is the mold opening parameter, the mold is pushed from the end position of low pressure mold opening to the start position of mold closing at a constant speed, and these two positions are known parameters; in sub-step 1.5, the power curve corresponding to the mold opening parameters used in each test is measured and recorded by the power analyzer, and the horizontal coordinate of the power curve is converted from the time coordinate to the position coordinate, and the conversion method is that the position coordinate is equal to the result of multiplying the time by the speed, and the mold opening power is P k It is written as (v, l), where v is the mold opening speed and l is the mold position.

[0018] The step of obtaining the relational equation between the mold clamping power, the mold clamping speed, and the mold position is almost the same as the step of obtaining the relational equation between the mold opening power, the mold opening speed, and the mold position described above. The difference is that in step 1.2, it is not necessary to place the semi-finished casting or injection molding product in the mold, in step 1.4, the mold is pushed from the start position of mold clamping to the start position of low pressure mold clamping at a constant speed, and in step 1.5, the mold clamping power is calculated as P h The key is to write it as (v,l).

[0019] In step 2, an optimization model is established for each of the mold opening and closing processes, with the goal of minimizing energy consumption and time while limiting vibration and impact as constraints.

[0020] The step of establishing a multi-objective optimization model for minimizing energy consumption and time with vibration shock as a constraint for the mold opening process includes obtaining optimized known parameters of the mold opening parameters, and calculating the known parameters for the high-speed and low-speed mold opening strokes L k and the low pressure die opening speed v k lp Sub-step 2.1 including: k h , slow speed v k l , high speed mold opening stroke coefficient α k (High-speed mold opening stroke divided by the total high-speed and low-speed mold opening stroke) is the optimization variable, In sub-step 2.2, we establish an objective function that minimizes both energy consumption and time. The objective function expression is shown in Equation 1 below.

number

number

[0021] The step of establishing a multi-objective optimization model for minimizing energy consumption and time with vibration shock as a constraint for the clamping process includes obtaining optimized known parameters of the clamping parameters, and calculating the optimum known parameters for the clamping stroke L at high and low speeds. h and the low pressure clamping speed v h lp and a fast speed v of the clamping process. h h , slow speed v h l , high speed and low speed switching position coefficient α h (The high-speed clamping stroke divided by the total high-speed and low-speed clamping strokes) is the optimization variable. In sub-step 2.2, we set the target size to TIFF2025000525000006.tif12160, and establish an objective function to minimize both energy consumption and time. The objective function expression is shown in Equation 3 below:

number

number

[0022] In step 3, the multi-objective optimization models of the mold opening process and the mold closing process are solved by a heuristic algorithm, and a Pareto-optimal solution set of the mold opening parameters and a Pareto-optimal solution set of the mold closing parameters are output.

[0023] For the mold opening process, the present invention uses a non-dominated sorting genetic algorithm (NSGA-II) to solve the bi-objective optimization model of the minimum mold opening time and energy consumption. The specific steps are: sub-step 3.1, using a binary coding method to code the switching position coefficients of fast speed, slow speed, fast speed and slow speed; sub-step 3.2, randomly generating a parent population containing M solutions that satisfy the constraint conditions, and calculating the mold opening time and energy consumption of the M solutions in the parent population, where M is an even number; sub-step 3.3, sorting the M solutions of the parent population in ascending order according to the non-dominance relationship, dividing the sorted solutions into multiple non-dominated levels, and calculating the congestion degree of each solution at each non-dominated level; sub-step 3.4, selecting M / 2 sets of solutions from the M solutions of the parent population by a binary tournament to form an intermediate population, each set containing two solutions, and performing crossover and variation operations on the two solutions of each set of the intermediate population to generate offspring containing M solutions that satisfy the constraint conditions; The method includes sub-step 3.5 of calculating the type opening time and energy consumption of the M solutions in the offspring, sorting the M solutions of the parent population and the M solutions of the child population in ascending order according to the non-dominance relationship, dividing the sorted solutions into multiple non-dominated levels, calculating the congestion degree of each solution at each non-dominated level, and selecting the top M solutions with low sorting levels and high congestion degrees as new parents; and sub-step 3.6 of determining whether a set number of iterations has been reached, and if YES, decoding the M solutions of the new parent in step 3.5 and outputting a Pareto optimal solution set, and if NO, sequentially executing sub-steps 3.4 to 3.6 using the M solutions of the new parent in sub-step 3.5 as input until the number of iterations has been reached.

[0024] For the mold closing process, the bi-objective optimization model of minimum mold closing time and energy consumption is similarly solved by the non-dominated sorting genetic algorithm, and the specific steps are the same as those for solving the multi-objective optimization model of the mold opening process.

[0025] Example: The following takes the mold opening and closing parameter optimization process for producing a base product of an office chair by a die casting machine as an example of the present invention, and the specific steps are as follows:

[0026] In step 1, the power analyzer is connected to the power input line of the servo control device of the die-casting machine, the mold for producing the base and the base semi-finished product are attached to the movable mold, the mold opening pressure of the die-casting machine is set as 100 bar, the mold opening speed starts from 50 mm / s and increases by 10 mm / s per time until it reaches 500 mm / s, and the power of pushing the mold at a uniform speed from the end position of low-pressure mold opening to the start position of mold clamping at different speeds is measured, then the base is taken out, the mold opening pressure of the die-casting machine is set as 100 bar, the mold opening speed starts from 50 mm / s and increases by 10 mm / s per time until it reaches 500 mm / s, and the power of pushing the mold at a uniform speed from the start position of mold clamping to the start position of low-pressure mold clamping at different speeds is measured, and finally the coordinates of the mold opening power curve and the mold clamping power curve at different speeds are converted into time.

[0027] In step 2, the parameters required for optimizing the mold opening and closing parameters are obtained, which are: high-speed and low-speed total stroke of mold opening 625 mm, low-pressure mold opening speed 100 mm / s, high-speed and low-speed total stroke of mold clamping 565 mm, low-pressure mold clamping speed 100 mm / s, mold weight 4520 kg, base semi-finished product weight 2.5 kg, maximum and minimum mold opening and closing speeds 500 mm / s and 50 mm / s, θ zk and θ zh 300kg.m 2 / s 2 Includes.

[0028] In step 3, the objective function, constraints, variables, non-dominated sorting genetic algorithm, etc. of the multi-objective optimization model of mold opening and closing are coded into a program that can be executed in Matlab software, and the parameters of the non-dominated sorting genetic algorithm are set, the parameters including the number of populations 100, the crossover rate 0.6, the variation rate 0.05, and the maximum number of iterations 500, and the solving program is executed to obtain the Pareto-optimal frontier parameters of mold opening and closing.

[0029] In step 4, the process operator selects the parameters from the Pareto optimal solution set that can not only satisfy the line balance but also have the lowest energy consumption according to the actual situation of the die casting machine working with other peripheral equipment. The optimal mold opening parameters for producing the base by die casting in this embodiment are high speed 300mm / s, low speed 150mm / s, and high speed mold opening stroke coefficient 0.6, and the optimal mold closing parameters are high speed 320mm / s, low speed 190mm / s, and high speed mold opening stroke coefficient 0.8. This set of optimal parameters realizes a 10% reduction in mold opening and closing time and an 8% reduction in energy consumption compared with the parameters used by the enterprise before.

[0030] Correspondingly, the present application further provides an electronic device, comprising one or more processors, and a memory for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to realize the above-mentioned method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine. Figure 4 is a hardware structure diagram of any device with data processing capability that uses the method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine according to an embodiment of the present invention, and in addition to the processor, internal memory and network interface shown in Figure 4, the device with data processing capability in which the device in the embodiment is located may generally further comprise other hardware according to the actual function of the device with data processing capability, and detailed description thereof will be omitted.

[0031] Correspondingly, the present application further provides a computer readable storage medium, which stores computer instructions and, when the instructions are executed by a processor, realizes the above-mentioned die casting machine and injection molding machine mold opening / closing parameter optimization method. The computer readable storage medium may be an internal storage unit of any device having data processing capability described in any one of the above embodiments, such as a hard disk or internal memory. The computer readable storage medium may be an external storage device, such as a plug-in hard disk, a smart media card (SMC), an SD card, a flash card, etc., disposed in the device. Furthermore, the computer readable storage medium may include not only an internal storage unit of any device having data processing capability, but also an external storage device. The computer readable storage medium is for storing the computer program and other programs and data required by the any device having data processing capability, and may be for temporarily storing data that has already been output or data to be output.

Claims

1. The method for optimizing mold opening and closing parameters of an energy-saving die casting machine and an injection molding machine includes the following steps 1 to 3: in step 1, a relational equation between the mold opening power, the mold opening speed, and the mold position of the die casting machine or the injection molding machine, and a relational equation between the mold clamping power, the mold clamping speed, and the mold position are obtained by testing; in step 2, an optimization model is established for each of the mold opening process and the mold clamping process, with the goal of minimizing energy consumption and time, with vibration and impact as a constraint; and the optimization models for each of the mold opening process and the mold clamping process are solved to output a Pareto optimal solution set for the mold opening parameters and a Pareto optimal solution set for the mold clamping parameters.

2. In step 1, a specific process of obtaining the relationship between the mold opening power, mold opening speed, and mold position of the die casting machine or injection molding machine through testing includes the following sub-steps 1.1 to 1.5: in sub-step 1.1, a voltage and current collection head of a power analyzer is connected to a power input line of a servo control device of the die casting machine or injection molding machine to measure the power of the servo control device and the servo motor; in sub-step 1.2, a mold of the product and a semi-finished product of the product are attached to a movable die plate of the die casting machine or injection molding machine; in sub-step 1.3, a selectable range [V ｍｉｎ , V ｍａｘ ] and take N uniform points from the vertex, and set the distance between two adjacent points as In the sub-step 1.4, the maximum mold opening pressure and the speed parameters corresponding to each point are set as mold opening parameters, and the mold is pushed from the end position of low pressure mold opening to the start position of mold clamping at a constant speed. In the sub-step 1.5, the power curve corresponding to the mold opening parameters used in each test is measured and recorded by a power analyzer, and the abscissa of the power curve is converted from time to mold position, and the mold position is equal to the result of multiplying the mold opening speed by time, and the mold opening power is set to P ｋ (v ｋ , l), and v ｋ The method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine according to claim 1, characterized in that: l is the mold opening speed, and ℓ is the mold position.

3. In step 1, the specific process of obtaining the relationship between the clamping power, clamping speed, and mold position of the die casting machine or injection molding machine through testing includes the following sub-steps 1.1 to 1.5: in sub-step 1.1, the voltage and current collection head of the power analyzer is connected to the power input line of the servo control device of the die casting machine or injection molding machine to measure the total power of the servo control device and the servo motor; in sub-step 1.2, the mold of the product is attached to the movable die plate of the die casting machine or injection molding machine; in sub-step 1.3, the selectable range of the mold clamping speed [V ｍｉｎ , V ｍａｘ ] and take N uniform points from the vertex, and set the distance between two adjacent points as In the sub-step 1.4, the maximum clamping pressure and the speed parameters corresponding to each point are set as clamping parameters, and the mold is pushed from the clamping start position to the low-speed clamping end position at a constant speed. In the sub-step 1.5, the power curve corresponding to the clamping parameters used in each test is measured and recorded by a power analyzer, and the abscissa of the power curve is converted from time to the mold position, and the mold position is equal to the result of multiplying the time by the clamping speed, and the clamping power is P ｈ (v ｈ , l), and v ｈ The method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine according to claim 1, characterized in that: l is the mold closing speed, and ℓ is the mold position.

4. In step 2, the specific process of establishing an optimization model for the mold opening process includes the following sub-steps 2.1 to 2.

4. In sub-step 2.1, the optimized known parameters of the mold opening parameters are obtained, and the known parameters are used to calculate the total mold opening stroke L of the high speed and low speed. ｋ and the low pressure mold opening speed v ｋ ｌｐ In the sub-step 2.2, the high speed v ｋ ｈ , low speed v ｋ ｌ , high speed mold opening stroke coefficient α ｋ are the optimization variables, 【number】 In the sub-step 2.3, an optimization model is established with the goal of minimizing the mold opening energy consumption and mold opening time, and the functional expression of the goal is shown in the following Equation 1: [0010] Here, T ｋ is the mold opening time, and E ｋ is the mold opening energy consumption, m ｍ１ is the total weight of the mold for the product and the semi-finished product, and P ｋ ( ) indicates the mold opening power at the corresponding mold opening speed and mold position, and t indicates time. In the sub-step 2.4, the specific constraint relational equation for the optimization model that restricts vibration and impact is shown in the following Equation 2: [0025] Here, θ ｚｋ The method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine according to claim 2, characterized in that:

5. In the step 2, the specific process of establishing an optimization model for the mold clamping process includes the following sub-steps 2.1 to 2.

4. In the sub-step 2.1, the optimized known parameters of the mold clamping parameters are obtained, and the known parameters are used to calculate the total mold clamping stroke L of the high speed and the low speed. ｈ and the low pressure clamping speed v ｈ ｌｐ In the sub-step 2.2, the high speed v ｈ ｈ , low speed v ｈ ｌ , high-speed clamping stroke coefficient α ｈ are the optimization variables, 【number】 In the sub-step 2.3, an optimization model is established with the goal of minimizing the clamping energy consumption and clamping time, and the target function expression is shown in the following Equation 3: [0030] Here, T ｈ is the clamping time, E ｈ is the clamping energy consumption, m ｍ is the weight of the product mold, and P ｈ ( ) indicates the clamping power at the corresponding clamping speed and mold position, and t indicates time. In the sub-step 2.4, the specific constraint relational equation for the optimization model that restricts vibration and impact is shown in the following Equation 4: [0045] Here, θ ｚｈ The method for optimizing mold opening and closing parameters of a die casting machine and an injection molding machine according to claim 3, characterized in that:

6. In step 3, the specific process of solving the optimization model of the mold opening process by the non-dominated sorting genetic algorithm includes the following sub-steps 3.1 to 3.

6. In sub-step 3.1, a binary encoding method is used to generate a high speed v ｋ ｈ , low speed v ｋ ｌ , high speed mold opening stroke coefficient α ｋ In the sub-step 3.2, a parent population including M solutions that satisfy the constraints is randomly generated, and the type opening time T ｋ and mold opening energy consumption E ｋ In the sub-step 3.3, the mold opening time T ｋ and mold opening energy consumption E ｋ In the sub-step 3.4, the M solutions of the parent population are divided into M / 2 sets by a binary tournament, each set including two solutions, and a child population including M solutions that satisfy the constraints is generated through the crossover and variation operations of the two solutions in each set. In the sub-step 3.5, the type opening time T ｋ and mold opening energy consumption E ｋ Calculate the mold opening time T ｋ and mold opening energy consumption E ｋ 5. The method for optimizing mold opening and closing parameters for a die casting machine and an injection molding machine according to claim 4, further comprising: sorting the M solutions of the parent population and the M solutions of the child population in ascending order according to a non-dominance relationship based on the above-mentioned, dividing the sorted solutions into multiple non-dominated levels, calculating the congestion degree of each solution at each non-dominated level, and setting the top M solutions with low sorting levels and high congestion degrees as a new parent population; and in sub-step 3.6, determining whether a set maximum number of iterations is reached, and if YES, decrypting the M solutions in the new parent population and outputting a Pareto optimal solution set, and if NO, returning to sub-step 3.4 and performing corresponding operations on the new parent population until the maximum number of iterations is reached.

7. In the step 3, the specific process of solving the optimization model of the mold clamping process by the non-dominated sorting genetic algorithm includes the following sub-steps 3.1 to 3.

6. In the sub-step 3.1, a high-speed velocity v is calculated using a binary encoding method. ｈ ｈ , low speed v ｈ ｌ , high-speed clamping stroke coefficient α ｈ In the sub-step 3.2, a parent population including M solutions that satisfy the constraints is randomly generated, and the clamping time T ｈ and mold clamping energy consumption E ｈ In the sub-step 3.3, the mold clamping time T ｈ and mold clamping energy consumption E ｈ In the sub-step 3.4, the M solutions of the parent population are divided into M / 2 sets by a binary tournament, each set including two solutions, and a child population including M solutions that satisfy the constraints over the crossover and variation operations of the two solutions in each set is generated; In the sub-step 3.5, the clamping time T ｈ and mold clamping energy consumption E ｈ Calculate the mold clamping time T ｈ and mold clamping energy consumption E ｈ 6. The method for optimizing mold opening and closing parameters for a die casting machine and an injection molding machine according to claim 5, further comprising: sorting the M solutions of the parent population and the M solutions of the child population in ascending order according to a non-dominance relationship based on the above-mentioned, dividing the sorted solutions into multiple non-dominated levels, calculating the congestion degree of each solution at each non-dominated level, and setting the top M solutions with low sorting levels and high congestion degrees as a new parent population; and in sub-step 3.6, determining whether a set maximum number of iterations is reached, and if YES, decrypting the M solutions in the new parent population and outputting a Pareto optimal solution set, and if NO, returning to step 3.4 and performing corresponding operations on the new parent population until the maximum number of iterations is reached.

8. An electronic device comprising a memory and a processor, the memory being coupled to the processor, the memory being used to store program data, and the processor being used to realize the method for optimizing mold opening and closing parameters for a die casting machine and an injection molding machine according to any one of claims 1 to 7, by executing the program data.

9. A computer-readable storage medium on which a computer program is stored, the computer program being capable of implementing the method for optimizing mold opening / closing parameters for a die casting machine and an injection molding machine according to any one of claims 1 to 7 when executed by a processor. A computer-readable storage medium comprising:

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