TW202320931A - System and method for automatically generating a feeder - Google Patents

Abstract

A system and a method for automatically generating a feeder are provided. The system includes a storage device, a memory and a processor. The storage device is configured to store a feeder model data base. The processor is configured to load instructions stored in the memory to perform the method for automatically generating a feeder. The method includes: calculating a moduli and a center position of a cast model of a cast prototype; performing a solidification analysis on the cast model and calculating a position of a hot spot of the cast model; selecting a target data set from data sets of relationships between various values of moduli and feeder modules in accordance with the center position and the value of the moduli; determining a feeder module in accordance with the target data set and mounting the feeder module on the hot spot of the caster model; performing a solidification analysis on the caster model having the feeder module to determine whether the feeder module is capable of being the feeder of the cast prototype.

Description

System and method for automatically generating risers

The invention relates to a system and method for automatically generating risers.

In the metal casting process, the hot spot of solidification during casting molding usually forms shrinkage cavity defects. Therefore, when designing the casting plan, it is necessary to judge the position of the solidification hot spot and design the feeder at this position to eliminate the occurrence of shrinkage cavity. . For example, use casting modeling simulation software (such as FLOW-3D Cast) to interpret the shrinkage cavity position of casting molding, and then design the riser at this position. However, such a riser design method usually requires a large amount of riser design and simulation calculations by using the trial and error method, so it takes more than several hours to complete the riser design.

In order to solve the above problems, the embodiment of the present invention proposes a system and method for automatically generating risers, which can greatly reduce the time for designing risers, and automatically generate risers that conform to castings.

According to an embodiment of the present invention, the above-mentioned system for automatically generating risers includes: a storage device, a memory, and a processor. The storage device is used to store a riser model database, wherein the riser model database includes a plurality of solidification modulus values and solidification time relationship data, and the solidification modulus values and solidification time relationship data correspond to a plurality of candidate geometric models. The memory system is used to store a plurality of instructions. The processor is used to load these instructions to: provide a casting model of a casting prototype; calculate a solidification modulus value of the casting model and a casting center position; perform a solidification analysis (no riser solidification analysis) on the casting model, To obtain an analysis result; calculate the position of at least one hot spot of the casting model according to the analysis result; select at least one target from the solidification modulus value and the solidification time relationship data according to the solidification modulus value of the casting model and the center position of the casting hot spot Data; determine at least one riser model from the candidate geometric model according to the at least one target data, and combine the at least one riser model on the central axis of the hot spot of the casting model to obtain a combined model; for the combined model Carrying out solidification analysis to judge whether at least one hot spot position of the combined model satisfies a preset condition; and when the hot spot position of the combined model satisfies the preset condition, it is determined that the riser model is the riser of the casting prototype.

In some embodiments, the freeze modulus value and freeze time relationship data are mapped one-to-one to a plurality of freeze modulus and freeze time curves, and the freeze modulus and freeze time curves are mapped one-to-one to candidate geometries. Model.

In some embodiments, when the processor calculates the position of the hot spot of the casting model according to the analysis results, the processor performs: determine the hot spot of the casting model according to the position of the casting model corresponding to one of the analysis results that reaches complete solidification at the latest Location.

In some embodiments, when the processor judges whether the at least one hot spot position of the combined model satisfies a preset condition, the processor proceeds to: determine whether the distance between the at least one hot spot position of the combined model and the central position of the casting is greater than a preset distance; And when the distance between the hot spot position of the combined model and the center position of the casting is greater than a preset distance, it is determined that the aforementioned preset condition is satisfied.

In some embodiments, the processor applies Chvorinov's Rule to select the target data from the solidification modulus value and solidification time relationship data according to the solidification modulus value of the casting model and the center position of the casting.

According to an embodiment of the present invention, the above-mentioned method for automatically generating a riser is executed by an automatic riser generation system, and includes: providing a riser model database, wherein the riser model database contains a plurality of solidification modulus values and solidification time relationship data, these solidification modulus values and solidification time relationship data correspond to a plurality of candidate geometric models; provide a casting model of a casting prototype; calculate a solidification modulus value of a casting model and a casting center position; Solidification analysis (no riser solidification analysis) to obtain an analysis result; calculate the position of at least one hot spot of the casting model according to the analysis result; according to the solidification modulus value of the casting model and the center position of the casting hot spot, the solidification modulus value and Select at least one target data from the solidification time relationship data; determine at least one riser model from the candidate geometric models according to the at least one target data, and combine the at least one riser model on the central axis of the hot spot of the casting model, A combination model is obtained; solidification analysis is performed on the combination model to determine whether at least one hot spot position of the combination model satisfies a preset condition; and when the hot spot position of the combination model meets the preset condition, it is determined that the riser model is The riser of the casting prototype.

In some embodiments, the freeze modulus value and freeze time relationship data are mapped one-to-one to a plurality of freeze modulus and freeze time curves, and the freeze modulus and freeze time curves are mapped one-to-one to candidate geometries. Model.

In some embodiments, the step of calculating the at least one hot spot of the casting model according to the analysis result includes: determining the position of the hot spot of the casting model according to the position of the casting model corresponding to the latest complete solidification of one of the above analysis results.

In some embodiments, the step of judging whether the hot spot position of the combined model satisfies the preset condition includes: judging whether the distance between at least one hot spot position of the combined model and the center of the casting is greater than a preset distance; and when the hot spot of the combined model When the distance between the position and the central position of the casting is greater than a preset distance, it is determined that the preset condition is met.

In some embodiments, the step of selecting a target data from the solidification modulus value and solidification time relationship data according to the solidification modulus value of the casting model and the center position of the casting is performed by using Chavorinov's design rule.

In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail together with the accompanying drawings.

The following is a detailed description of the embodiment with accompanying drawings, but the provided embodiment is not used to limit the scope of the present invention, and the description of the structure and operation is not used to limit the order of its execution, any structure recombined by components , the resulting devices with equal efficacy are all within the scope of the present invention. In addition, the drawings are for illustrative purposes only and are not drawn to original scale.

Please refer to FIG. 1 , which is a functional block diagram of a system 100 for automatically generating risers according to an embodiment of the present invention. The system 100 for automatically generating risers includes a storage device 110 , a memory 120 and a processor 130 . The storage device 110 is used for storing a riser model database. The memory 120 is used for storing a plurality of instructions. The processor 130 is used to load the instruction stored in the memory 120 to use the riser model database stored in the storage device 110 to automatically generate the riser of the casting. The system 100 for automatically generating risers can be realized, for example, by a personal computer, wherein the storage device 110 can be a computer hard disk to store a riser model database. When the processor 130 loads the instructions from the memory 120 to automatically generate the casting riser, the processor 130 can access the storage device 110 to provide the data of the riser model database.

Please refer to FIG. 2 , which is a schematic flowchart of a method 200 for automatically generating risers according to an embodiment of the present invention. The method 200 for automatically generating risers is performed by the system for automatically generating risers 100 to automatically generate risers conforming to castings. In the method 200 for automatically generating risers, step 210 is first performed to provide a riser model database and a casting model to be processed. In this embodiment, the casting model is provided by computer aided design (Computer Aided Design; CAD) software and solidification analysis software. For example, in this embodiment, as shown in FIG. 3 , a computer-aided design software is used to establish a casting model, wherein the computer-aided design software can provide the coordinates of each point of the casting model. Then, through the plug-in conversion program (for example, plug-in to the solidification analysis software), these coordinates are mapped to the casting model established by the solidification analysis software, as shown in Figure 4, where the color closer to blue represents the closer to the solid , areas closer to (orange) red in color represent closer to the liquid. For example, the geometric coordinates of the entity provided by the computer-aided design software (such as Solidworks) correspond to the solidification analysis software (such as Flow 3D Cast) through the grid generator of the solidification analysis software. In this way, the user can obtain the coordinates of each point (grid point) of the casting model in the solidification analysis software through the conversion program. In this embodiment, the prototype of the casting is a kettlebell, so its model is also the shape of a kettlebell, but the embodiments of the present invention are not limited thereto. In other embodiments of the present invention, the casting prototype may have other geometric shapes or combinations of geometric shapes.

Next, step 220 is performed to calculate the solidification modulus value of the casting model and the center position of the casting. For example, the casting center position of the casting model is calculated through the aforementioned coordinate values. As another example, the solidification modulus value M is calculated using Chvorinov's Rule.

Then, steps 230 and 240 are performed to perform solidification analysis on the casting model by using the aforementioned solidification analysis software, and calculate the position of at least one hot spot of the casting model according to the analysis results, as shown in FIG. 5 .

In Figure 5, the plug-in program displays the solidification analysis data of each coordinate point of the casting model, and calculates the location and number of hot spots of the casting model. In this embodiment, the position and number of hot spots of the casting model are found out by means of numerical solution (iterative analysis). Specifically, the hot spot position of the casting model is the last solidified point in the casting model. For example, a solidification time critical value is set, and when the solidification time of some position points exceeds the solidification time threshold value, it can be regarded as a hot spot position of the casting model. In some embodiments, the position of the hot spot of the casting model can be determined according to the position corresponding to the latest solidification. As shown in Figure 5, when three pairs of information appear in the grid point information of the solidification analysis, such as 60, 60, 47, 47, 52, and 52, it represents the latest solidification time (6307.49271 seconds) , so the corresponding grid point (0.00075, 0.00511, -0.00225) is the hotspot position. In addition, although this embodiment only calculates one hotspot, the embodiments of the present invention are not limited thereto. In other embodiments of the invention, more than 2 hot spots may be calculated.

Next, step 250 is performed to generate a combined model by specifying the riser model and combining the models. In step 250, step 251 is firstly performed to select at least one piece of target data from the riser model database according to the solidification modulus value M of the casting model and the center position of the hot spot of the casting. Please refer to FIG. 6 , which shows the data stored in the riser model database according to the embodiment of the present invention. The riser model database includes a plurality of sets of relationship data between solidification modulus and solidification time, each set of data corresponds to a curve 610 , and each curve 610 corresponds to a riser model. In this embodiment, the riser model database contains 9 pieces of data on the relationship between solidification modulus and solidification time (that is, 9 curves 610), and these 9 pieces of data correspond to the box-shaped LL3L (BOX LL3L) geometric model, box-shaped L3L6L (BOX L3L6L) geometric model, cubic (Cube) geometric model, caliper (Clipper) geometric model, box-shaped L6L6L (BOX L6L6L) geometric model, cylindrical (Cylinder) geometric model, open riser (Feeder opened) geometric model Model, Sphere geometry, and Feeder closed geometry. The above nine geometric models can be called candidate geometric models.

In this embodiment, step 251 is performed by Chvorinov's Rule. For example, a curve 610 corresponding to a feeder opened geometric model is selected.

Then, proceed to step 252 to determine at least one riser model from the candidate geometric models according to the aforementioned at least one target data, and combine the riser model on the central axis of the hot spot of the casting model to obtain a combined model . For example, in step 250 , the curve 610 corresponding to the geometric model of the closed feeder is selected, so the shape of the feeder model can be determined to be the closed feeder. In some embodiments, the size of the riser model can be determined according to the solidification time of the hot spot. For example, determine the height and width of the riser model. After determining the shape and size of the riser model, combine the riser model on the hot spot of the casting model to obtain a combined model 710 , as shown in FIG. 7 .

Next, step 260 is performed to perform solidification analysis on the combination model 710, as shown in FIG. 8, to determine whether at least one hot spot position of the combination model 710 satisfies a preset condition. In Figure 8, areas closer to blue in color represent closer to solids, and areas closer to (orange) red in color represent closer to liquids. In this embodiment, it is firstly determined whether the distance between the hot spot position of the combined model 710 and the center position of the casting is greater than a preset distance. If the distance between the hot spot position of the combination model 710 and the center position of the casting is greater than the aforementioned preset distance, it is determined that the preset condition is satisfied. In other words, step 260 is to determine whether the hot spot position of the combined model 710 is far enough from the center of the casting to meet the requirements of the casting.

When step 260 judges that the hot spot position of the combination model 710 satisfies the preset condition, then proceed to step 270 to determine the selected riser model as the riser of the casting prototype. That is to say, the selected riser model is the optimized riser model. However, if it is determined in step 260 that the hot spot position of the combination model 710 cannot meet the preset conditions, then return to step 250 and adjust the ratio of the riser modulus to the casting modulus to regenerate a new riser model and combine it with the casting model On the hot spot of the new combined model, perform step 260 to perform hot spot analysis on the new combination model.

In some embodiments, if it is calculated that the casting has more than two hot spots, step 260 will determine whether the distance between two adjacent hot spots is less than a preset distance. When the distance between two adjacent hot spots is less than the preset distance, it is determined that the preset condition is met.

As can be seen from the above description, the system 100 for automatically generating risers and the method 200 for automatically generating risers in the embodiment of the present invention can integrate computer-aided design software and solidification analysis software, so that the coordinate points of the computer-aided design software can be applied to the solidification analysis software In this way, the solidification analysis results (for example, solidification time) generated by the solidification analysis software can be referred to each coordinate point of the casting model, so that the solidification analysis results of each coordinate point can be processed, and the casting model can be further obtained hotspot. Then, specify the riser model to be combined with the hot spots of the casting model, and conduct solidification analysis to find out the optimal riser model. In this way, the development time of castings can be shortened, and unnecessary cost waste can be saved.

Although the present invention has been disclosed above with the embodiments, it is not intended to limit the present invention. Anyone with ordinary knowledge in the technical field may make some changes and modifications without departing from the spirit and scope of the present invention. The scope of protection of the present invention should be defined by the scope of the appended patent application.

100: System for automatic riser generation 120: memory 130: Processor 200: The method of automatic riser generation 210~270: steps 251~252: Steps 610: curve 710: Combined Model

FIG. 1 is a schematic functional block diagram of a system for automatically generating risers according to an embodiment of the present invention. FIG. 2 is a schematic flowchart illustrating a method for automatically generating risers according to an embodiment of the present invention. FIG. 3 illustrates a casting model in computer-aided design software according to an embodiment of the present invention. FIG. 4 shows a casting model in the solidification analysis software according to an embodiment of the present invention. FIG. 5 shows the hot spots calculated by the conversion program according to the embodiment of the present invention. FIG. 6 shows the data stored in the riser model database according to the embodiment of the present invention. Fig. 7 is a diagram illustrating a combined model of a casting model and a riser model according to an embodiment of the present invention. FIG. 8 shows a solidification analysis of a combined model according to an embodiment of the present invention.

none

200: The method of automatic riser generation

210~270: steps

251~252: Steps

Claims (10)

A system for automatically generating risers, comprising: A storage device for storing a riser model database, wherein the riser model database includes a plurality of solidification modulus values and solidification time relationship data, and the solidification modulus values and solidification time relationship data correspond to a plurality of candidate geometric models ; a memory for storing a plurality of instructions; and A processor loaded with the instructions for: Provide a casting model of a casting prototype; Calculating a solidification modulus value of the casting model and a casting center position; performing a solidification analysis on the casting model to obtain an analysis result; calculating the position of at least one hot spot of the casting model according to the analysis result; selecting at least one target data from the solidification modulus value and solidification time relationship data according to the solidification modulus value of the casting model and the center position of the at least one hot spot of the casting; Determine at least one riser model from the candidate geometric models according to the at least one target data, and combine the at least one riser model on the central axis of the at least one hot spot of the casting model to obtain a combined model ; performing a solidification analysis on the composite model to determine whether at least one hotspot position of the composite model satisfies a preset condition; and When the at least one hot spot position of the combination model satisfies the preset condition, the riser model is determined to be the riser of the casting prototype. The system for automatically generating risers as described in claim 1, wherein the solidification modulus values and solidification time relationship data are one-to-one corresponding to a plurality of solidification modulus and solidification time relationship curves, and the solidification modulus and solidification The time relationship curves correspond one-to-one to the candidate geometric models. The system for automatically generating risers as described in Claim 1, wherein when the processor calculates the position of the at least one hot spot of the casting model according to the analysis result, the processor: The position of the hot spot of the casting model is determined according to the position of the casting model corresponding to one of the analysis results that reaches complete solidification at the latest. The system for automatically generating risers as described in Claim 1, wherein when the processor judges whether the at least one hot spot position of the combination model satisfies the preset condition, the processor: judging whether the distance between the at least one hot spot position of the combined model and the center position of the casting is greater than a preset distance; and When the distance between the at least one hot spot position of the combined model and the center position of the casting is greater than the preset distance, it is determined that the preset condition is satisfied. The system for automatically generating a riser as described in claim 1, wherein the processor applies Chvorinov's Rule to obtain from the solidification modulus value of the casting model and the center position of the casting from the solidification The at least one piece of target data is selected from the data on the relationship between the modulus value and the solidification time. A method for automatically generating a riser is executed by an automatic riser generation system, and includes: A riser model database is provided, wherein the riser model database includes a plurality of solidification modulus values and solidification time relationship data, and the solidification modulus values and solidification time relationship data correspond to a plurality of candidate geometric models; Provide a casting model of a casting prototype; Calculating a solidification modulus value of the casting model and a casting center position; performing a solidification analysis on the casting model to obtain an analysis result; calculating the position of at least one hot spot of the casting model according to the analysis result; selecting at least one target data from the solidification modulus value and solidification time relationship data according to the solidification modulus value of the casting model and the center position of the at least one hot spot of the casting; Determine at least one riser model from the candidate geometric models according to the at least one target data, and combine the at least one riser model on the central axis of the at least one hot spot of the casting model to obtain a combined model ; performing a solidification analysis on the composite model to determine whether at least one hotspot position of the composite model satisfies a predetermined condition; and When the at least one hot spot position of the combination model satisfies the preset condition, the riser model is determined to be the riser of the casting prototype. The method for automatically generating risers as described in claim 6, wherein the solidification modulus values and the solidification time relationship data are one-to-one corresponding to a plurality of solidification modulus and solidification time relationship curves, and the solidification modulus and solidification time The time relationship curves correspond one-to-one to the candidate geometric models. The method for automatically generating a riser as described in Claim 6, wherein the step of calculating the at least one hot spot of the casting model according to the analysis result includes: The position of the hot spot of the casting model is determined according to the position of the casting model corresponding to one of the analysis results that reaches complete solidification at the latest. The method for automatically generating a riser as described in claim 6, wherein the step of judging whether the at least one hot spot position of the combined model satisfies the preset condition includes: judging whether the distance between the at least one hot spot position of the combined model and the center position of the casting is greater than a preset distance; and When the distance between the at least one hot spot position of the combined model and the center position of the casting is greater than the preset distance, it is determined that the preset condition is satisfied. The method for automatically generating risers as described in Claim 6, wherein the step of selecting the at least one piece of target data from the solidification modulus value and solidification time relationship data according to the solidification modulus value of the casting model and the center position of the casting The system uses Chvorinov's Rule to carry out.

Images