Wear-resistant injection mold material and preparation method thereof

Abstract

The invention discloses a wear-resistant injection mold material and a preparation method thereof.The preparation method comprises the steps that on the basis of chemical component regulation and control, the fatigue crack resistance of the material is improved by adding, by mass, 0.5%-1.5% of Mo, 0.1%-0.4% of V and 0.1%-0.3% of Nb; performing multi-stage isothermal quenching treatment, heating the material to 1050-1150 DEG C, preserving heat for 1-3 hours, preserving heat at 500-550 DEG C for 1-2 hours, and preserving heat at 250-300 DEG C for 0.5-1 hour, so as to reduce the thermal deformation of the material; a plasma immersion ion implantation method is adopted, treatment is conducted for 1-3 hours under the acceleration voltage of 1-10 kV and the current of 1-5 mA / cm < 2 >, the surface of the material is subjected to strengthened modification, and the wear resistance of the material is enhanced; and the cooling rate is controlled within the range of 20-50 DEG C / min, so that material grains are refined uniformly, the microstructure characteristics are optimized, and the toughness of the material is improved.

Description

Technical Field

[0001] The invention relates to the technical field of mold manufacturing, in particular to a wear-resistant injection mold material and a preparation method thereof. Background Art

[0002] A wear-resistant injection mold material and its preparation method mainly propose modification schemes to address the various problems existing in existing injection mold materials under high stress, high temperature and high-intensity use conditions. Specifically, the invention focuses on the method of regulating chemical composition. By precisely adjusting the types and proportions of alloying elements, the fatigue strength of the material under complex working conditions is improved and the possibility of fatigue cracks is reduced. In addition, the heat treatment process parameters are optimized to find suitable parameters such as heat treatment temperature and time to reduce the thermal deformation of the material. At the same time, in order to improve the surface wear resistance, the invention designs an innovative surface modification technology and enhances the surface properties by adjusting the treatment conditions (such as electroplating or coating thickness). In addition, in terms of microstructural characteristics, through the study of alloy phase organization and grain refinement process, reasonable deformation heat treatment or control of precipitate distribution during cooling process is adopted to improve the toughness of the material. Finally, with regard to the cooling rate of the material, the invention proposes a series of methods to ensure the optimal cooling rate at different stages, thereby promoting the formation of uniform grains and avoiding a series of problems caused by excessive grain size differences. Summary of the Invention

[0003] The object of the present invention is to provide a wear-resistant injection mold material and a preparation method thereof, so as to solve the problems raised in the above background technology.

[0004] To achieve the above objectives, the present invention provides the following technical solutions: a wear-resistant injection mold material and a preparation method thereof, comprising:

[0005] Based on chemical composition control, the fatigue crack resistance of the material is improved by adding 5% to 5% by mass of Mo, 1% to 4% by mass of V and 1% to 3% by mass of Nb;

[0006] Perform multi-stage austempering treatment, heating the material to 1050-1150℃ and keeping it at that temperature for 1-3 hours, then keeping it at 500-550℃ for 1-2 hours, and then keeping it at 250-300℃ for 5-1 hour to reduce the thermal deformation of the material;

[0007] Plasma immersion ion implantation was used at an accelerating voltage of 1-10 kV and an A / cm 2 Treat under electric current for 1-3 hours to strengthen and modify the material surface and enhance its wear resistance;

[0008] Control the cooling rate within the range of 20-50℃ / min to make the material grains more uniform, optimize the microstructure characteristics, and improve the toughness of the material.

[0009] Furthermore, the steps based on chemical composition regulation are further defined as follows:

[0010] The total mass percentage of the three elements Mo, V and Nb is controlled between 0% and 5% to ensure the uniform distribution of each element in the material and effectively enhance the fatigue crack resistance;

[0011] The mass percentage of Mo is preferably in the range of 0% to 2% to more accurately improve fatigue resistance and solve the problem of fatigue cracks easily occurring under high stress conditions;

[0012] The ratio of V and Nb is controlled to be V:Nb=1:1, and the overall performance is improved by optimizing the ratio of trace elements;

[0013] If the addition amounts are Mo: x%, V: y%, Nb: z%, respectively, when x+y+z≥p, reduce the addition ratio until the optimal value of p is reached, where x, y, z represent their respective mass percentages, and p represents the set optimal trace sum threshold.

[0014] Furthermore, the step of regulating based on chemical composition further includes:

[0015] The matrix alloy elements are pre-diffused for a time period of t and a treatment temperature of T that satisfies specific thermodynamic conditions;

[0016] Before adding Mo, the raw material powder is subjected to ultrasonic oscillation with an oscillation time of u and a frequency of f to meet the requirements of efficient mixing;

[0017] Strictly monitor the oxygen content C0 of each element during the sintering process to prevent the introduction of oxygen from affecting the final effect;

[0018] According to the formula: If the oxygen content C0 <q,则判定预扩散充分且适合进入下一步合成阶段;反之需要重复超声振荡。这里的q是理论允许的最大氧含量标准参数值。

[0019] Furthermore, the step of chemical composition regulation is further defined as follows:

[0020] Study the interaction mechanism between Mo, V and Nb and determine the optimal pairing scheme;

[0021] First principles calculations are used to predict the material micro defect density Dm and its relationship with the selected trace component combination;

[0022] The consistency between the simulation results and the real structural characteristics was calibrated by Raman scattering experiments, and the consistency rate was ensured to reach more than 85%;

[0023] When the calculated true error absolute value |ε| is less than or equal to r, it is considered that the microscopic defect control inside the material is within the ideal range, where r represents the pre-established accuracy limit indicator.

[0024] Furthermore, the specific implementation method based on chemical composition regulation also includes the following detailed operations:

[0025] Inductively coupled plasma mass spectrometry (ICPMS) was used to quantitatively determine the precise concentration levels of Mo, V, and Nb.

[0026] Set the sensitivity level σ for each measurement to ensure the validity and reproducibility of the data;

[0027] Based on the obtained test data, a three-dimensional spatial distribution map G is constructed to show the variation pattern of the mass fractions of these trace elements;

[0028] If the concentration deviation δ between any two batches of samples does not exceed g, it means that the batch consistency is good and suitable for mass production and promotion. Here g is used to define the qualified batch-to-batch fluctuation tolerance.

[0029] Furthermore, one of the key points involved in the regulation of chemical composition is the selection of the introduction path of Mo, which specifically includes:

[0030] Select appropriate metal molybdenum powder as the initial material source M1 and consider whether to dope an appropriate amount of amorphous phase component C2;

[0031] After many small sample comparison tests, the appropriate particle size diameter d was found to ensure smooth and unobstructed subsequent sintering;

[0032] Analyze the pore formation probability η under the influence of powder morphology characteristics, and maintain an appropriate air pressure environment P during this process;

[0033] The addition of Mo leads to no adverse effects if the measured average pore size Δr does not exceed h, where h is a pre-set standard size reference value to limit the risk of undesirable microcrack formation.

[0034] Furthermore, based on the optimized chemical composition control scheme, four specific details were added to improve the technical measures:

[0035] Priority is given to using purified raw alloy materials with a purity higher than Grade I for formula design;

[0036] Control the carbon equivalent value W of the finished material to remain constant throughout the entire preparation cycle to reduce the negative impact of small molecular carbides;

[0037] Introduce dynamic monitoring instruments to monitor the pH adjustment K of the reaction medium in real time throughout the entire process;

[0038] An early warning system Y is established. If K is not within the safe range of a≤z≤b, an alarm signal is immediately triggered and corrective action is taken in a timely manner. Here, the letters a and b are the endpoints of the defined safe pH value interval; in addition, z is used as the actual detected state quantity to participate in the judgment.

[0039] Furthermore, the aforementioned process based on chemical composition regulation is further refined and clear guidance is given to promote industrial application transformation:

[0040] Conduct long-term stable operation experiments for the determined optimal ratio configuration scheme and collect relevant historical performance indicator data set E;

[0041] Evaluate the effect of potential variables on the fatigue crack resistance of the main material Q and adjust the original plan accordingly;

[0042] Introducing intelligent control platform B to integrate key information flow transmission throughout the entire supply chain from raw material selection to final product delivery;

[0043] Construct a mathematical judgment model Z: When Q>l and all records are within a reasonable statistical range J, the verification is successful and preparations are made to expand production. The letter l represents an important critical threshold established by accumulated experience, and J is used to refer to a reasonable set of coefficients of variation to constrain the impact of random errors.

[0044] Furthermore, new additional requirements are proposed on how to achieve refined management of chemical composition:

[0045] Establish a complete source traceability system for each key trace alloy element;

[0046] Strengthen the selection of procurement channels and the review of supplier quality and reputation, and establish a strict audit system;

[0047] Regularly check and maintain the integrity of equipment to ensure that the processing environment is stable and the output is continuous and controllable;

[0048] If any subsystem's status score, X≤v, is found, the issue should be immediately investigated and corrected until the score returns to an acceptable level. Here, v refers to the lowest tolerable baseline score for the operating status, ensuring efficient and trouble-free operation of the entire production line.

[0049] Furthermore, in order to more thoroughly address the challenges caused by unstable ingredients, more innovative elements have been introduced to further advance technological research and development based on the above foundation:

[0050] Develop a new online analyzer D to quickly and accurately determine the actual content of trace elements;

[0051] Add necessary intermediate state inspection steps, use multi-angle X-ray photography to confirm the crystallization condition;

[0052] Improve the storage and transportation conditions R to avoid unnecessary physical and chemical damage or contamination;

[0053] When encountering external conditions such as temperature and humidity A change exceeding the specified limit value c, timely protective measures should be taken to make parameter A return to the safe interval (i.e. c≤A≤c), the upper and lower limits of which represent the boundary value range of environmental adaptability.

[0054] In this way, the layer-by-layer progressive way can effectively strengthen and improve the patent protection system, making the invention content more stable and reliable, while also leaving enough flexibility and broad development space for future expansion.

[0055] The embodiment of the present disclosure provides a wear-resistant injection mold material and a preparation method thereof, comprising: based on chemical composition regulation, by adding Mo with a mass percentage of 5% to 5%, V with a mass percentage of 1% to 4%, and Nb with a mass percentage of 1% to 3%, the fatigue crack resistance of the material is improved; multi-stage isothermal quenching treatment is carried out, the material is heated to 1050-1150 DEG C and then kept for 1-3 hours, then kept for 1-2 hours at 500-550 DEG C, and then kept for 5-1 hours at 250-300 DEG C, so that the thermal deformation of the material is reduced; by using plasma immersion ion implantation method, the material surface is strengthened and modified under the treatment of 1-10kV acceleration voltage and 1-5mA / cm 2 Current, the wear resistance of the material is enhanced; the cooling rate is controlled in the range of 20-50 DEG C / min, so that the material grain is refined and uniform, the microstructure characteristics are optimized, and the toughness of the material is improved. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 A flowchart of a wear-resistant injection mold material and a preparation method thereof;

[0057] Figure 2 A flowchart of a wear-resistant injection mold material and a preparation method thereof;

[0058] Figure 3 A flowchart of a wear-resistant injection mold material and a preparation method thereof;

[0059] Figure 4 A flowchart of a wear-resistant injection mold material and a preparation method thereof;

[0060] Figure 5 A flowchart of a wear-resistant injection mold material and a preparation method thereof;

[0061] Figure 6 A flowchart of a wear-resistant injection mold material and a preparation method thereof;

[0062] Figure 7 It is a flow chart of a wear-resistant injection mold material and a method for preparing the same;

[0063] Figure 8 It is a flow chart of a wear-resistant injection mold material and a method for preparing the same;

[0064] Figure 9 It is a flow chart of a wear-resistant injection mold material and a method for preparing the same;

[0065] Figure 10 The present invention is a flow chart of a wear-resistant injection mold material and a method for preparing the same. DETAILED DESCRIPTION

[0066] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0067] See also Figure 1-4 The present invention discloses a wear-resistant injection mold material and its preparation method in various steps. First, the chemical composition of the injection mold material is manipulated to address its susceptibility to fatigue cracking under high stress conditions. To improve this, 0.5% to 1.5% molybdenum (Mo), 0.1% to 0.4% vanadium (V), and 0.1% to 0.3% niobium (Nb) are added. Specifically, these additives significantly improve the base material's crystal structure stability and hardness, thereby enhancing fatigue resistance. For example, in one example, researchers selected a conventional mold steel, which is prone to fatigue cracking, as their experimental substrate. By precisely manipulating the chemical formula and introducing only appropriate amounts of trace elements such as Mo, V, and Nb while maintaining the base material's properties, they found that the alloyed mold material remained crack-free even after tens of thousands of pressure load cycles, demonstrating fatigue resistance far exceeding that of the unmodified product. Furthermore, this improved mold not only maintains high surface integrity over long-term use but also extends its service life by at least 10 times, reducing replacement and maintenance costs and significantly improving production efficiency.

[0068] The injection mold material based on the above modification also needs to undergo an optimized heat treatment process to ensure the best performance, especially to effectively reduce the deformation of the material caused by temperature changes. Multi-stage austempering is an important feature of this technical solution. It involves heating the material to 1050 to 1150 degrees Celsius and keeping it in a constant high temperature environment within this range for a period of time (such as from 60 minutes to 180 minutes), and then quickly transferring it to a second isothermal treatment zone with a temperature range of 500 to 550 degrees Celsius and staying there for 1 to 2 hours; the last step is to continue to maintain a cooling stage for about 30 to 60 minutes in a low temperature area, that is, 250-300 degrees Celsius. This multi-stage heating and cooling is used to overcome the problem that the traditional single rapid cooling method causes the formation of coarse lamellar phases at the grain boundaries, thereby affecting dimensional stability. In a specific example, a certain brand that used this process to produce high-performance plastic molding modules for automotive parts found that the accuracy of the finished products was greatly improved, and they were less likely to experience position drift or deformation caused by environmental factors. This greatly met the needs of the precision manufacturing field, achieved continuous production and large-scale supply of high-quality parts, and the products had excellent machining characteristics and stable physical properties, thanks to the new properties imparted by the multi-stage annealing heat treatment - a smaller thermal expansion coefficient and a better internal stress distribution state.

[0069] The next thing to consider is to further improve the surface protection properties of these carefully selected injection mold materials through surface modification, especially the problem of enhancing wear resistance. Plasma immersion ion implantation is an efficient and controllable methodology that mainly uses electric field driven acceleration to bombard and embed high energy particles into metal workpieces to form composite solid solutions or amorphous coatings. For the implementation scheme here, we used a DC voltage between 1 kilovolt (kV) and 10,000 volts applied to the sample, with a DC voltage of between 1 milliampere (mA / cm2) per square centimeter. 2 )-5 mA intensity current, the treatment cycle is roughly within the range of 1 to 3 hours. The purpose of such an operation is to promote the deep integration of active substances into the interior of the material, forming a dense and tough epidermal tissue layer with excellent self-cleaning and sliding friction adaptability, which significantly enhances the material contact part's resistance to external particle invasion and shear damage. For example, in a plastic product factory application case, after plasma treatment, a batch of old molds that were originally easily scratched and broken by hard particles now have almost no scratches left near their working interfaces. Even in high-intensity continuous operation, the level of finish can always be maintained unchanged or even better. More importantly, this measure greatly improves the operating life of the equipment, avoids the huge waste caused by frequent rework and maintenance, and ensures more consistent and reliable product quality.

[0070] Controlling material microstructural characteristics is essential for achieving excellent toughness, which requires optimally adjusting the cooling rate to achieve the desired effect. Practical experience suggests that maintaining a cooling rate between 20 and 50°C / minute best promotes the ideal, fine, and uniform microstructure. This prevents premature solidification caused by excessively rapid cooling, which results in numerous internal bubbles and voids, and also prevents slow cooling, which increases grain size and reduces overall toughness. Therefore, the specific process parameters established within this framework are particularly important. A comparative study was conducted using a new durable mold steel used in large-scale precision injection molding equipment on a mass production line for high-end home appliance housings. One group was produced using conventional processes; the other was processed strictly according to the standards outlined here, including setting appropriate start and end temperature ranges and determining optimal cooling and heating steps. The results showed that the specially designed molds with optimized cooling rates significantly outperformed the control samples in both appearance and mechanical properties. They exhibited more refined and regular microstructures, while exhibiting superior bending and tensile properties, significantly differentiating them from conventional models and demonstrating significant market competitiveness.

[0071] To sum up, the entire R&D process revolves around how to develop targeted solutions to various key problems. The main line throughout the text is that it covers a wide range of content and a large amount of information. It fully reflects the rigor and logic of scientific research, lays a solid foundation for subsequent discussions and progress in related fields, and has important reference significance. It also provides new ideas and approaches for more companies to solve the difficult bottlenecks they encounter.

[0072] Next, a specific embodiment of the present invention is described, based on the wear-resistant injection mold material and preparation method described in claim 1. Specifically, the total mass percentage of the three elements Mo, V, and Nb is controlled between 0% and 2.5%. This process involves the following steps:

[0073] First, the addition amounts of the three elements, Mo, V, and Nb, are determined, with their combined weight percentages ranging from 0% to 2.5%. This step ensures a uniform distribution of these elements throughout the material, effectively enhancing its fatigue crack resistance. For example, in one embodiment, to prepare a batch of high-performance injection mold materials, the weight percentages of Mo, V, and Nb might be 1.1%, 0.65%, and 0.65%, respectively.

[0074] Secondly, the mass percentage of Mo is preferably in the range of 1.0% to 1.2%. This range can more accurately improve the fatigue resistance of the material, especially under high stress conditions to effectively prevent the generation of fatigue cracks. For example, specifically, the mass percentage of Mo can be set to 1.1% to enhance the service life and stability of the material in a high-pressure environment.

[0075] Thirdly, the ratio of V and Nb is controlled to be V:Nb = 1:1. The optimization of this ratio helps to improve the overall performance of the material, including wear resistance, strength and toughness. In one embodiment, if the mass percentage of V and Nb is set to 0.65% respectively, the total amount of V and Nb is 1.3%, which is within the ideal range of 0% to 2.5%.

[0076] Finally, if the addition amounts are Mo:x%, V:y%, and Nb:z% respectively, and x+y+z≥p, the addition ratio needs to be reduced until the optimal value of p is reached. Here, x, y, and z represent the mass percentage of each element respectively, and p represents the set optimal total threshold, which is in the range of 0% to 2.5%. Specifically, assuming the initial addition amounts are Mo:1.3%, V:0.8%, and Nb:0.7%, the total is 2.8%, which exceeds the optimal threshold of 2.5%. Therefore, the addition amounts of Mo, V, and Nb need to be gradually reduced until their total amount is equal to or less than 2.5%. This setting ensures that all performance indicators of the material can reach the optimal state, avoiding the side effects caused by excessive addition, such as increased material brittleness or decreased mechanical properties. Through this method, the process parameters can be optimized to improve production efficiency while ensuring the performance of the material.

[0077] Next, the features of the wear-resistant injection mold material and its preparation method according to claim 2 of the present application are described in each step based on chemical composition control. First, the pre-diffusion treatment of the base alloy elements is involved, with a time of t and a treatment temperature T that meets certain thermodynamic conditions; the purpose of this step is to make the alloy elements uniformly distributed in a lower oxygen environment, promoting the subsequent synthesis effect. By heating at a higher temperature for a certain period of time, it is ensured that the alloy components can be fully integrated without forming impurities or inclusions.

[0078] Subsequently, before adding the molybdenum (Mo) element, the raw material powder is subjected to ultrasonic oscillation treatment for a time of u minutes and at a frequency of f to achieve efficient mixing effect. Specifically, ultrasonic waves can make the metal powder more delicate and homogeneous. Ultrasonic oscillation not only breaks the possible agglomeration phenomenon between the powder, but also enhances the interaction between the elements. For example, in one embodiment, oscillation for 10 minutes at a frequency of 50 Hz achieves good results, making the final product have more consistent performance.

[0079] Next, the oxygen content C0 is strictly controlled during the sintering process of each element. The oxygen content has a direct impact on the mechanical properties and wear resistance of the material, so it needs to be kept within a reasonable range to avoid introducing too much oxygen and affecting the material quality. Specifically, when the oxygen content is monitored to be lower than the threshold value q, it can be considered that the pre-diffusion has been successful and the next step can be continued; otherwise, ultrasonic treatment must be performed again. The theoretical maximum oxygen content standard parameter value allowed here is q, which is usually set to less than 5ppm (5 parts per million). This is because an environment with too high an oxygen content can easily cause the formation of an oxide layer, thereby reducing the smoothness of the interior of the mold cavity and shortening the mold's service life cycle.

[0080] During this period, the formula was applied to determine the pre-diffusion process: If the oxygen content C0 <q,则意味着预处理阶段良好完成;若高于此限值,则需要对原材料重复上述操作以达到目标质量标准。该公式旨在保证生产流程中的每一次尝试都能接近完美无瑕的理想状态,优化资源的同时减少失败的风险。其中,关键在于准确监控C0值的变化,因为它是直接决定合成工艺是否继续前进的关键依据。最优情况下,在制造过程中应尽量将实际检测数值趋近理论最佳点,即尽可能降低到更低但又不过零界范围内的一个微小安全区间内,以确保产品质量始终如一。

[0081] In summary, this series of steps, through precise control of conditions such as temperature, time, and oxygen content, and repeated adjustments when necessary, ultimately results in a highly durable mold material suitable for injection molding. These detailed specifications provide rigorous standards for the entire production process and reflect a relentless commitment to improving product reliability and stability.

[0082] Next, specific steps of the present invention are described.

[0083] In the first step, the interaction mechanisms between Mo, V, and Nb need to be studied to determine the optimal pairing. This process aims to clarify how the synergistic effect of these elements in the alloy affects the material properties. For example, when applying this wear-resistant metal alloy in the injection mold field, the ratio of these trace elements needs to be optimized to achieve the best wear resistance and mechanical properties. Specifically, thermodynamic analysis and a series of comparative experiments are used to verify the stability and efficiency of different combinations, providing guidance data for actual production.

[0084] The second step is to use first-principles calculations to predict the characteristics of the new injection mold formed based on the preferred composition, especially the microscopic defect density \(D_m\). This parameter characterizes the number of various structural damages that may occur inside the microlattice of the material, and directly affects the functional properties of the final product, such as the delicate balance between hardness and toughness. In order to ensure that the material has sufficiently high quality requirements and can withstand the challenges of loss caused by high pressure and frequent use in an industrial environment, it is necessary to ensure that this value is as low as possible. In one embodiment, when Mo, V, and Nb are doped within a suitable proportion, the probability of defect generation can be significantly reduced to below the ideal level, that is, 0.1 to 5 defects / cm 3 Around is considered a good result.

[0085] Subsequently, Raman scattering experiments are conducted to calibrate the simulated calculations against actual sample conditions, ensuring a consistency rate exceeding 85%. This step verifies the accuracy of physical properties such as chemical bond vibrations in the theoretical modeling process. Because microscopic defects can interfere with optical response characteristics, high-precision testing methods are necessary to compensate for deviations in purely mathematical models. This testing confirmed the excellent properties of a new material mentioned in the example, confirming that it meets the standard requirements for engineering practice.

[0086] When all the above points are accurate, the final review proceeds to determine whether the material's internal microscopic defects are within the acceptable range. This is expressed as \(|ε| ≤ r\), where the absolute error \(|ε| = |\text{calculated value} - \text{experimental value}|\) measures the deviation between the two values, and \(r\) represents the maximum acceptable deviation. This setting is intended to strictly define the quality specification limits of the finished product. For example, if the actual error measured for a particular batch of injection mold material is ±3% or less, it meets the specified requirements and can be put into large-scale application.

[0087] Next, the specific implementation steps of the present invention are described as follows:

[0088] Based on the wear-resistant injection mold material and preparation method thereof described in claim 4, the specific implementation method of chemical composition regulation is further clarified. First, the precise concentration level L of Mo, V and Nb is quantitatively determined using inductively coupled plasma mass spectrometry (ICPMS). Inductively coupled plasma mass spectrometry is a highly sensitive and accurate analytical technique that can accurately determine the content of trace elements in a sample. For example, in the specific implementation process, the sample is subjected to acid digestion treatment and then sent to the ICPMS equipment, and the precise concentration of each element is determined by calibrating the standard curve.

[0089] Secondly, set the sensitivity level σ of each determination to ensure the validity and repeatability of the data. The sensitivity level σ here refers to the minimum recognizable signal of ICPMS detection, which is usually based on the recommended value in the instrument manual and adjusted according to actual needs. For example, set σ to 0.01 ppb (parts per billion) to ensure that the repeatability error of each determination is within an acceptable range and to improve the reliability of the measurement results.

[0090] Next, construct a three-dimensional spatial distribution map G based on the obtained test data to show the variation of the mass fraction of trace elements. This process is realized through software such as Origin or MATLAB. The three dimensions of map G represent the mass fractions of Mo, V, and Nb, respectively. The points in the map represent the test results of each batch of samples, and the connecting lines represent the possible correlation between elements. In one embodiment, 10 different batches of mold materials are tested, and the data points are plotted into a map through software, clearly showing the variation trend and mutual relationship of each trace element.

[0091] Finally, evaluate the consistency of batch production. If the concentration deviation δ of any two batches of samples does not exceed g, it indicates that the consistency of batch production is good and suitable for mass production. Here, g is the maximum allowable fluctuation tolerance between batches, used to define the qualified range between batches. The formula is as follows: δ = |L1-L2| ≤ g, where L1 and L2 represent the concentration of a certain element in any two batches of samples, and the specific value of g needs to be set according to the actual application requirements. For example, set g to 0.5%, then as long as the concentration deviation of any two batches of samples does not exceed 0.5%, it is considered that the batch consistency and quality are controllable.

[0092] The detailed description of the above steps is intended to ensure accurate control of the addition of trace alloying elements during the preparation of wear-resistant injection mold materials, thereby improving the performance stability and service life of the materials.

[0093] Next, the key steps of the present invention related to a wear-resistant injection mold material and its preparation method are described. The core lies in the chemical composition control, especially the introduction path selection of metallic molybdenum (Mo), which includes four key steps: selecting suitable initial materials, determining appropriate particle size diameter, optimizing powder morphology characteristics to control pore generation, and ensuring that the average pore diameter does not exceed the preset value.

[0094] Specifically, the first step is to select the appropriate starting material as the source, namely, choosing a metal molybdenum powder (M1) that meets the standards and determining whether to add an amorphous phase component C2 as an additive. This step is the prerequisite for the entire process chain and determines the purity and homogeneity of the final product. For example, in one embodiment, a metal molybdenum powder with high purity (greater than 98%) and specific crystal stability is selected. After verifying the powder quality through techniques such as XRD, the decision is then made whether to incorporate an appropriate amorphous component to strengthen or modify the target alloy substrate, ensuring stable and reliable subsequent performance.

[0095] The second step requires extensive trial and error to find the optimal particle size within the d range to meet the needs of the actual sintering process. Generally, finer particles facilitate the creation of a dense and uniform microstructure, while coarser particles improve flowability and spreading efficiency. Repeated experiments have shown that samples with diameters between 0.1 and 50 μm perform best; the optimal range may be concentrated in a few narrow regions. For example, for molded parts for specific applications, it is recommended to set d to approximately 3 to 8 μm to achieve a balance. The third step requires in-depth research on the variation in the probability of pore formation η due to different powder morphologies, and maintaining a reasonable pressure level P to promote uniform sintering without premature air entrapment and excessive increases in porosity. For example, a research and development record shows that maintaining relatively low vacuum conditions in a nitrogen atmosphere can more accurately control the porosity trend toward the expected value.

[0096] The final step is to evaluate the average pore size Δr, a result of the combined effects of the above factors. When the result is no greater than the set limit h (i.e., less than a certain safety threshold), it indicates that the addition of molybdenum has no harmful effects. The specific upper limit depends on the requirements of the final product's use, generally fluctuating between a few millimeters and tens of microns. From a practical point of view, it is best to keep it within the range of ≤10μm to reduce or even avoid the risk of potential crack growth.

[0097] When analyzing these formulas, Δr measures the characteristic spatial size index of the pores; the parameter η is used to quantify the probability of pore nucleation due to the properties of the powder itself; d refers to the maximum circumscribed circle diameter per unit area of ​​the molybdenum source raw material powder; and the environmental variable P characterizes the state of the externally applied force, ensuring that all operations are carried out under precise control to meet high performance requirements.

[0098] Precise control of each of these factors directly impacts multiple quality attributes, including wear resistance and mechanical strength. Through rigorous process design and scientific management, we can achieve new injection mold materials with superior performance and a long service life.

[0099] Next, the specific details of the optimized chemical composition control scheme of the present invention are described. The first is to select high-purity original alloy raw materials. The details here refer to the priority use of original alloy raw materials that have been purified and have a purity higher than level I for formula design. This step ensures the high purity of the raw materials, reduces the interference of other impurities, and improves the overall performance of the material. For example, in one embodiment, electrolytic copper is used as the base material with a purity of 99.99%, which ensures the excellent performance of the subsequent material in terms of wear resistance.

[0100] Secondly, control the carbon equivalent value of the finished material. During the entire preparation cycle, the carbon equivalent value W of the finished material must be kept constant to reduce the negative effects of small molecule carbides. The calculation formula for the carbon equivalent value W is W=C+Mn / 6+(Cr+Mo+V) / 5+(Si+Ni+Cu) / 15, where C represents the mass fraction of carbon, Mn represents the mass fraction of manganese, Cr represents the mass fraction of chromium, Mo represents the mass fraction of molybdenum, V represents the mass fraction of vanadium, Si represents the mass fraction of silicon, Ni represents the mass fraction of nickel, and Cu represents the mass fraction of copper. The optimal value W should be in the range of 0.45% to 0.60%. This setting is to avoid the material being too hard or too soft and to balance wear resistance and machinability.

[0101] Next, dynamic monitoring instruments were introduced to further improve the accuracy of the production process. These instruments monitor the pH of the reaction medium in real time and adjust the pH value (K) throughout the entire process. This step, achieved through precision sensors and data acquisition equipment, ensures that the pH remains within the optimal range throughout the reaction, improving the consistency and stability of the material. In one specific embodiment, a pH meter and computer control system were used to collect and provide feedback on pH information in real time, allowing for adjustment of reaction conditions.

[0102] Finally, an early warning system was established. To ensure safety during the reaction process, an early warning system Y was established. If the pH value K is not within the safe range of a≤z≤b, the system will immediately trigger an alarm signal and take corrective action in a timely manner. a and b are the endpoints of the preset safe pH value range, for example, a=6.5, b=7.5. The actual detected state quantity z participates in the system's judgment, ensuring that timely measures can be taken when the reaction deviates from the safe range. For example, in one experiment, the pH value dropped from 7.4 to 7.2. After the system issued a warning, it immediately adjusted the amount of alkaline additive added, restored the normal pH value, and ensured the smooth progress of the reaction. The advantage of this is that problems can be discovered and solved in the first place, avoiding potential accidents and quality problems.

[0103] Next, a wear-resistant injection mold material and a preparation method thereof according to claim 7 of the present invention are described: the aforementioned process based on chemical composition regulation is further refined and clear guidance is given to promote industrial application transformation.

[0104] First, a long-term stable operation experiment is conducted on the determined optimal ratio configuration scheme, collecting relevant historical performance indicator dataset E. This step aims to obtain performance indicator data under different conditions through long-term testing, thereby ensuring the reliability of the optimal configuration scheme. For example, in one embodiment, mold materials with the optimal ratio configuration were used in continuous production for one year, with various performance indicators such as hardness and wear resistance recorded every two weeks and ultimately compiled into dataset E.

[0105] Secondly, evaluate the effect Q of potential variables on the fatigue crack resistance of the main material and adjust the original plan accordingly. The purpose of this step is to optimize the performance of the material by quantitatively analyzing the influence of various factors on fatigue crack resistance. The evaluation of the effect intensity Q involves multiple variables, such as temperature, pressure and environmental conditions. The value of parameter Q is generally between 0 and 1. The larger the value, the stronger the influence of the potential variable. If Q exceeds the critical threshold l determined by experience, it indicates that the original plan needs to be adjusted. For example, if a certain environmental factor Q reaches 0.8 and exceeds the critical value l = 0.7, it is necessary to readjust the composition of the raw materials or the process conditions to improve the ability to resist fatigue cracks.

[0106] Thirdly, the introduction of Intelligent Control Platform B integrates the flow of critical information across the entire supply chain, from raw material selection to finished product delivery. Intelligent Control Platform B facilitates information-based management of the entire process, ensuring real-time information sharing and feedback at every stage, thereby improving production efficiency and product quality. For example, before raw materials enter the production line, Platform B automatically checks their quality indicators and transmits this data to each process. The responsible person for each process can then make adjustments based on this data to ensure consistent and high-quality final products.

[0107] Finally, a mathematical judgment model Z is constructed: when Q>l and all records are within a reasonable statistical range J, the verification is successful and preparations are made for scale-up production, where the letter l represents an important critical threshold established by experience accumulation, and J is used to refer to a reasonable coefficient of variation set region used to constrain the impact of random errors. The purpose of model Z is to determine whether the current solution is suitable for large-scale production through data analysis. The coefficient of variation set region J defines a set of reasonable standards. Usually, the J value ranges from 0.1 to 0.2, and the specific value is adjusted according to actual needs and experience. When the action intensity Q is greater than the critical value l (for example, 0.7) and all historical performance indicators are within the J range, it means that the stability and consistency of the solution have reached an acceptable standard and it is possible to consider expanding the scale of production. For example, through data analysis, it was found that Q = 0.82, and the coefficient of variation of all records were within the range of J = 0.15, which proves that the performance of the material is stable and reliable and has the conditions for large-scale production.

[0108] Next, the method of the present invention is described, which includes the following four steps: establishing a traceability tracking system for the source of trace alloy elements, strengthening the review of procurement channels and supplier quality reputation, regularly inspecting and maintaining equipment, and ensuring that the status score of each subsystem is higher than the tolerable minimum working condition bottom line evaluation score. First, a traceability tracking system T for the source of trace alloy elements is established. This means that each key trace alloy element used to make wear-resistant injection mold materials must have detailed source records and tracking. This measure ensures that the quality of the material can be monitored throughout the entire process from raw material selection to finished product delivery, avoiding product quality problems caused by substandard raw materials. For example, in one embodiment, if a specific batch of molybdenum is selected as an additive, the traceability system T can be used to track the original production location of this molybdenum element, the quality inspection report during the production process, and whether there is any damage during transportation.

[0109] The second step is to strengthen procurement channel selection and supplier quality and reputation review, namely, establishing strict supplier assessment criteria. This includes a comprehensive assessment of suppliers' quality control capabilities and production qualifications, ensuring that only reputable and technologically mature manufacturers are selected for cooperation, thereby improving the consistency and reliability of input materials. In one embodiment, supplier information is collected through questionnaires and on-site inspections. Suppliers are then scored and rated according to pre-set standards. Only those with an overall score of 85% or above are eligible for subsequent procurement, ensuring that the raw material quality meets expectations.

[0110] Third, to ensure that processing conditions such as temperature, humidity, and air purity remain at optimal levels, a regular inspection and maintenance schedule is necessary. This involves testing machinery operating conditions and adjusting environmental factors, aiming to maintain optimal performance of both the workshop's micro-environment and large-scale production equipment, thereby ensuring the continuity and stability of the production process. Specifically, a professional maintenance team should visit at least once a quarter to perform on-site commissioning of precision instruments and routine inspections of general machinery. Any abnormalities detected must be addressed immediately, and detailed records should be kept for subsequent review and analysis.

[0111] Finally, when any subsystem's status score X ≤ v, prompt fault diagnosis and repair work must be carried out until the score X returns to above the normal range. v represents the minimum acceptable performance indicator, typically a proven threshold for safe and stable operation of the entire production line. This parameter V should be flexibly set within the range [0, 100] based on the specific circumstances of the production line. An initial threshold of 75 (out of 100) is generally recommended, as scores below this often indicate potential risks and may interfere with or damage the performance of other components. The formula X ≥ v is established to provide real-time warnings of system performance degradation, enabling timely corrective action, reducing downtime and improving overall production efficiency. In a specific production environment, if monitoring data indicates that a specific indicator, such as the cooling system's efficiency X, has dropped to 73, an alarm is triggered, alerting management to quickly identify the cause and correct it. The problem is not considered resolved until the score returns to above 75, and normal production processes can resume.

[0112] Next, a key step of the present invention is described: To improve the stability of material properties, a new online analyzer D was developed. This step aims to achieve precise quality control by detecting trace element content in real time. During this process, the actual content of trace elements in the material preparation can be accurately determined. This helps to ensure that all produced materials meet the expected quality. Specifically, using this new analyzer, element changes can be monitored at any stage of the process and timely adjustments can be made. For example, when preparing wear-resistant injection mold materials, key metal components such as iron and chromium must be precisely matched to preset proportions to ensure that the finished product has optimal mechanical properties.

[0113] Another crucial step is to implement necessary intermediate state testing. This phase utilizes multi-angle X-ray photography to verify crystallization, preventing structural anomalies from impacting subsequent performance. This method provides a deep understanding of the internal microstructure, enabling the timely detection of early defects such as porosity or foreign matter. Specifically, comprehensive micromorphological analysis of the alloy prior to injection molding is crucial. Once qualified, processing proceeds to the next step, ensuring a flawless final product.

[0114] In order to optimize the storage and transportation links, measure R is adopted to prevent potential risks. Here we focus on the problems and countermeasures that may arise at the physical and chemical levels; such as shock protection, sealed packaging to reduce the contact between air and substances to avoid oxidation corrosion, etc. In one embodiment, for high-value materials that are easily damaged by moisture and require long-term storage, a temperature-controlled warehouse is specially designed to ensure that the temperature is maintained within a specific value range (c≤A≤c), that is, c represents the lower edge of the ambient temperature setting limit range, and c indicates the upper limit boundary to adapt to changes caused by various external factors. When the detection system indicates that the A value deviates from the normal range, it will immediately trigger the early warning mechanism to start the corresponding compensation process to restore normal operating conditions.

[0115] These measures collectively enhance the patent protection system and strengthen the foundation for innovation, making it easier to apply and expand in the future. For example, the technological foundation established in this way not only strengthens the position of existing products but also provides a solid starting point and support platform for a new generation of high-performance molds and their manufacturing processes, contributing to industry progress.

[0116] The wear-resistant injection mold material and preparation method thereof of the present invention include a series of systematic design and control technical measures to ensure that the obtained material has excellent mechanical properties under high stress conditions, extremely low thermal deformation, and good surface wear resistance and toughness.

[0117] A wear-resistant injection mold material and its preparation method 1. Chemical composition regulation to improve fatigue crack resistance. In order to solve the problem of injection mold materials being prone to fatigue cracking under high stress conditions, this method adopts a scientific and reasonable chemical composition adjustment strategy. On the basis of the basic components, 0.5%-1.5% Mo (molybdenum), 0.1%-0.4% V (vanadium) and 0.1%-0.3% Nb (niobium) are added. These elements become key alloying components due to their excellent properties. Mo can improve hardenability and high-temperature strength; V can effectively refine grains while increasing matrix hardness and wear resistance; Nb is particularly useful for improving tensile strength and delaying carbide precipitation, thereby strengthening the steel and significantly improving its fatigue resistance, so that it still has good durability under high-frequency pressure or repeated load conditions.

[0118] A wear-resistant injection mold material and its preparation method. Secondly, heat treatment process optimization reduces thermal deformation. Regarding how to improve the thermal deformation problem of injection mold materials, we achieve this goal by carefully adjusting the treatment parameters. The core step of a wear-resistant injection mold material and its preparation method is a multi-stage austempering operation: the raw material is heated to a temperature range of 1050°C to 1150°C, held for 1 to 3 hours to fully austenitize, and then immediately cooled. Subsequently, the workpiece is heated again at 500°C to 550°C for a period of 1 to 2 hours to help eliminate internal stresses generated in the previous stage. Finally, the workpiece is held at a low temperature range of 250°C to 300°C for 0.5 to 1 hour. Each heating stage in this process is designed to avoid drastic changes in the material volume due to temperature changes. By properly controlling the temperature span and holding time between each stage, the residual stress accumulated during processing can be maximized, thereby reducing the overall thermal deformation of the product after processing.

[0119] A wear-resistant injection mold material and its preparation method 3. Surface modification to enhance material wear resistance. In order to solve the problem that traditional material surfaces are difficult to cope with the challenges of harsh operating environments - that is, the problem of insufficient surface wear resistance, this innovative method introduces advanced plasma immersion ion implantation technology (PLII). Specifically, metal ions are accelerated to enter the shallow surface layer of the mold substrate in the form of high energy density to form nanocrystals or other types of hardened layers. Experiments have shown that treatment for up to 1 to 3 hours at a voltage of 1-10kV and a current between 1 and 5 milliamperes per square centimeter can greatly enhance the surface hardness and wear resistance of the material, giving the final product an exterior that is super hard, corrosion-resistant and more durable.

[0120] A wear-resistant injection mold material and its preparation method 4. Microstructure optimization ensures the superior mechanical properties of the material When it comes to the task of improving the internal organization of injection mold materials to meet the requirements of complex industrial applications, the highlight of the preparation process is the fine adjustment of the microstructure. Through the above-mentioned special multi-stage heat treatment process, the steel parts undergo different degrees of cooling and shrinkage, which can effectively promote the formation of a refined ferrite + martensite system composite form. At the same time, with the appropriate cooling rate, it can also promote the effective arrangement and combination of new and old dislocation networks. Such a microstructural evolution pattern not only enhances the overall density and firmness of the material, but more importantly, it improves the ability to absorb a large amount of elastic energy before fracture. In other words, it achieves the goal of improving the toughness properties of the material from the root.

[0121] A wear-resistant injection mold material and a preparation method thereof. 5. Appropriately adjust the cooling rate to achieve uniform distribution of grains. As for solving the problem of differences in crystal quality caused by too fast or too slow cooling rates, the present invention points out that: a method of controlling the cooling rate is used to maintain the cooling uniformity in various parts of the heat-affected zone in a suitable range of 20°C / min to 50°C / min. Doing so not only ensures that all parts receive the same solidification treatment, but also avoids the risk of rapid solidification leading to the growth of coarse columnar crystals or too slow cooling causing the emergence of dendritic solidification patterns. In addition, at this ideal cooling rate, it is also more conducive to achieving an ideal fine grain distribution state, further promoting the formation of a uniform and dense ideal metal microscopic world. In summary, the comprehensive optimization design of a wear-resistant injection mold material and a preparation method thereof effectively solves the various challenges faced by injection molding tools, and comprehensively improves their performance to a higher level.

[0122] 1. Chemical composition regulation experimental data:

[0123] 1. The influence of trace element addition on the material's fatigue crack resistance:

[0124]

[0125] 2. The influence of trace element ratio on the comprehensive performance of materials:

[0126]

[0127] 2. The influence of multi-stage austempering treatment on the thermal deformation of materials:

[0128]

[0129] 3. Effect of plasma immersion ion implantation on material wear resistance:

[0130]

[0131] 4. Corresponding calculation formula:

[0132] 1. Control formula for the total mass percentage of trace elements:

[0133] 0≤x+y+z≤2.5%

[0134] Where x, y, and z represent the mass percentages of Mo, V, and Nb, respectively.

[0135] 1. Trace element ratio control formula:

[0136]

[0137] 2. Calculation formula for the relationship between micro defect density and trace element combination:

[0138] Dm=f(Mo,V,Nb)

[0139] Where Dm represents the microscopic defect density, and f represents the relationship function between the defect density and the combination of trace elements. The mathematical model of the relationship between thermal deformation and heating temperature is:

[0140] △L=aT 2 +bT+c

[0141] Where ΔL represents the thermal deformation, T represents the heating temperature, and a, b, and c are model parameters.

[0142] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the embodiments of the present disclosure. It should be understood that the above description is only a specific implementation method of the embodiments of the present disclosure and is not intended to limit the scope of protection of the embodiments of the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure should be included in the scope of protection of the embodiments of the present disclosure.

Claims

1. A wear-resistant injection mold material and a preparation method thereof, characterized in that: including: Based on chemical composition regulation, by adding Mo with a mass percentage of 0.5% to 1.5%, V with a mass percentage of 0.1% to 0.4%, and Nb with a mass percentage of 0.1% to 0.3%, the anti-fatigue crack performance of the material is improved; Carry out multi-stage isothermal quenching treatment. Heat the material to 1050 - 1150 °C and hold for 1 - 3 hours, then hold at 500 - 550 °C for 1 - 2 hours, and then hold at 250 - 300 °C for 0.5 - 1 hour to reduce the thermal deformation of the material; Plasma immersion ion implantation was used at an accelerating voltage of 1-10 kV and an A / cm 2 Treat under electric current for 1-3 hours to strengthen and modify the material surface and enhance its wear resistance; Control the cooling rate within the range of 20 - 50 °C / min to make the material grains refined and uniform, optimize the microstructure characteristics, and improve the toughness of the material.

2. The wear-resistant injection mold material and its preparation method according to claim 1, wherein The step based on chemical composition regulation is further defined as follows: Control the total mass percentage of the three elements Mo, V, and Nb between 0% and 2.5% to ensure the uniform distribution of each element in the material and effectively enhance the anti-fatigue crack performance; The mass percentage range of Mo is preferably 1.0% to 1.2% to more precisely improve the anti-fatigue characteristics and solve the problem of easy occurrence of fatigue cracks under high stress conditions; The ratio of V and Nb is controlled as V:Nb = 1:1 to improve the comprehensive performance by optimizing the ratio of trace elements; If the addition amounts are Mo:x%, V:y%, Nb:z% respectively, when x + y + z ≥ p, reduce the addition ratio until the optimal value of p is reached, where x, y, z represent their respective mass percentages, and p represents the set optimal total trace element threshold value.

3. The wear-resistant injection mold material and its preparation method according to claim 2, wherein The step based on chemical composition regulation further includes: Perform pre-diffusion treatment on the matrix alloy elements, set the time as t, and the treatment temperature T satisfies specific thermodynamic conditions; Perform ultrasonic oscillation on the raw material powder before adding Mo, the oscillation time is u, and the frequency f meets the requirements of efficient mixing; Strictly monitor the oxygen content C0 during the sintering process of each element to prevent the introduction of oxygen from affecting the final effect; According to the formula: If the oxygen content C0 < q, it is determined that the pre-diffusion is sufficient and suitable for entering the next synthesis stage; otherwise, repeat the ultrasonic oscillation. Here, q is the theoretical maximum oxygen content standard parameter value.

4. The wear-resistant injection mold material and its preparation method according to claim 3, wherein The step based on chemical composition regulation is further defined as follows: Study the interaction effect mechanism between the three elements Mo, V, and Nb to determine the optimal pairing scheme; Use the first-principles calculation to predict that the microscopic defect density Dm of the material is related to the selected trace element combination; Calibrate the consistency s between the simulation calculation result and the real structure characteristics through Raman scattering experiment and ensure that the consistency rate reaches more than 85%; When the absolute value of the calculated real error |ε| is less than or equal to r, it is considered that the control of microscopic defects inside the material is within the ideal range, where r represents the pre-set precision limit index. ​ The specific implementation method based on chemical composition regulation also includes the following detailed operations: Inductively coupled plasma mass spectrometry (ICPMS) was used to quantitatively determine the precise concentration levels of Mo, V, and Nb. Set the sensitivity level σ for each measurement to ensure the validity and reproducibility of the data; Based on the obtained test data, a three-dimensional spatial distribution map G is constructed to show the variation pattern of the mass fractions of these trace elements; If the concentration deviation δ between any two batches of samples does not exceed g, it means that the batch consistency is good and suitable for mass production and promotion. Here g is used to define the qualified batch-to-batch fluctuation tolerance.

6. The wear-resistant injection mold material and preparation method thereof according to claim 5, characterized in that: One of the key points in chemical composition regulation is the selection of Mo introduction path, which specifically includes: Select appropriate metal molybdenum powder as the initial material source M1 and consider whether to dope an appropriate amount of amorphous phase component C2; After many small sample comparison tests, the appropriate particle size diameter d was found to ensure smooth and unobstructed subsequent sintering; Analyze the pore formation probability η under the influence of powder morphology characteristics, and maintain an appropriate air pressure environment P during this process; The addition of Mo leads to no adverse effects if the measured average pore size Δr does not exceed h, where h is a pre-set standard size reference value to limit the risk of undesirable microcrack formation.

7. A wear-resistant injection mold material and a preparation method thereof according to claim 6, characterized in that: Based on the optimized chemical composition control scheme, four specific details are further added to improve the technical measures: Priority is given to using purified raw alloy materials with a purity higher than Grade I for formula design; Control the carbon equivalent value W of the finished material to remain constant throughout the entire preparation cycle to reduce the negative impact of small molecular carbides; Introduce dynamic monitoring instruments to monitor the pH adjustment K of the reaction medium in real time throughout the entire process; An early warning system Y is established. If K is not within the safe range of a≤z≤b, an alarm signal is immediately triggered and corrective action is taken in a timely manner. Here, the letters a and b are the endpoints of the defined safe pH value interval; in addition, z is used as the actual detected state quantity to participate in the judgment.

8. The wear-resistant injection mold material and preparation method thereof according to claim 7, characterized in that: The aforementioned chemical composition-based regulation process is further refined and clear guidance is provided to promote industrial application transformation: Conduct long-term stable operation experiments for the determined optimal ratio configuration scheme and collect relevant historical performance indicator data set E; Evaluate the effect of potential variables on the fatigue crack resistance of the main material Q and adjust the original plan accordingly; Introducing intelligent control platform B to integrate key information flow transmission throughout the entire supply chain from raw material selection to final product delivery; Construct a mathematical judgment model Z: When Q>l and all records are within a reasonable statistical range J, the verification is successful and preparations are made to expand production. The letter l represents an important critical threshold established by accumulated experience, and J is used to refer to a reasonable set of coefficients of variation to constrain the impact of random errors.

9. The wear-resistant injection mold material and preparation method thereof according to claim 8, characterized in that: New additional requirements are proposed on how to achieve refined management of chemical composition: Establish a complete source traceability system for each key trace alloy element; Strengthen the selection of procurement channels and the review of supplier quality and reputation, and establish a strict audit system; Regularly check and maintain the integrity of equipment to ensure that the processing environment is stable and the output is continuous and controllable; If any subsystem's status score, X≤v, is found, the issue should be immediately investigated and corrected until the score returns to an acceptable level. Here, v refers to the lowest tolerable baseline score for the operating status, ensuring efficient and trouble-free operation of the entire production line.

10. The wear-resistant injection mold material and preparation method thereof according to claim 9, characterized in that: In order to more thoroughly address the challenges caused by unstable ingredients, more innovative elements were introduced to further advance technology research and development based on the above foundation: Develop a new online analyzer D to quickly and accurately determine the actual content of trace elements; Add necessary intermediate state inspection steps and use multi-angle X-ray photography to confirm the crystallization status; Improve storage and transportation conditions to avoid unnecessary physical and chemical damage or contamination; When external conditions such as temperature and humidity A change beyond the specified limit c, protective measures should be taken in time to return parameter A to the safe range (i.e. c≤A≤c). The upper and lower limits of this range represent the boundary value range of environmental adaptability. This step-by-step approach can effectively strengthen and improve the patent protection system, making the invention content more stable and reliable, while also leaving sufficient flexibility and broad development space for future expansion.

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