This application claims the benefit of Taiwan application Serial No. 105136647, filed Nov. 10, 2016, the subject matter of which is incorporated herein by reference.
The technical field relates to a method of manufacturing a foot auxiliary equipment, and more particularly to method of manufacturing a foot auxiliary equipment by using a three-dimensional printing technology.
In order to help patients whose foot is hurt, the foot auxiliary equipment is needed. In a conventional practice, a foot mold is made of gypsum having a mold cavity which defines the shape of the foot. Then, a false foot produced by using the foot casting, and then the auxiliary equipment using the false foot.
However, the problem with this approach is that it is often difficult to improve when the foot auxiliary equipment is finally found to be problematic. In addition, the foot auxiliary equipment produced by this prior art method can only contain a single material, which limits the design flexibility of the foot auxiliary equipment.
Thus, it is needed to provide a new technique to resolve above problem.
The present disclosure provides a method of manufacturing a foot auxiliary equipment capable of resolving the above problem.
According to an embodiment of the disclosure, a method of manufacturing foot auxiliary equipment is provided. The method includes the following steps. A method of manufacturing a foot auxiliary equipment includes the following steps. A foot appearance of a foot and a foot muscles of the foot are scanned for obtaining a foot appearance data model and a foot muscle data model respectively. The foot appearance data model, a foot bone data model and the foot muscle data model are synthesized into a foot data model. A dynamic state analysis and a static state analysis are performed on the foot data model. A foot auxiliary equipment data model is generated according to result of the dynamic state analysis and result of the static state analysis. A foot auxiliary equipment is printed by using three-dimensional printing technique according to the foot auxiliary equipment data model.
The above and other aspects of the present disclosure will become better understood with regard to the following detailed description of the preferred but non-limiting embodiment(s). The following description is made with reference to the accompanying drawings.
In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the disclosed embodiments. It will be apparent, however, that one or more embodiments may be practiced without these specific details. In other instances, well-known structures and devices are schematically shown in order to simplify the drawing.
In step S110, referring to
In another embodiment, the step of scanning the foot bone data model 12 may also be omitted.
In an embodiment, the foot appearance data model 11, the foot bone data model 12 and the foot muscle data model 13 may be displayed on a display screen (not illustrated) for making an operator to conveniently observe the foot appearance data model 11, the foot bone data model 12 and the foot muscle data model 13. Any model generated in the subsequent steps may be displayed on the display screen.
The foot appearance data model 11, the foot bone data model 12 and the foot muscle data model 13 each including a Computer Aided Design (CAD) model and a Finite Element Method (FEM) model. The CAD model can be used for subsequent manufacturing of a physical product, while the FEM model can be used for subsequent static analysis and dynamic analysis.
In step S120, as illustrated in
In step S130, the processor performs a first dynamic state analysis and a first static state analysis on the foot data model 20. The first static state analysis is, for example, a static analysis. For example, the exerted force situation of each portion of the foot data model 20 being at rest can be analyzed when the foot data model 20 is simulated to lie down or stand up. The first dynamic state analysis is, for example, gait analysis. For example, the exerted force situation of each portion of the foot data model 20 can be analyzed when the foot data model 20 is simulated to walk or run.
In another embodiment, the first dynamic state analysis and the first static state analysis can be performed on one of the foot appearance data model 11, the foot bone data model 12 and the foot muscle data model 13 for obtaining the individual CAD model and the individual FEM model.
In step S140, as illustrated in
In step S150, the processor may adjust parameters of the foot auxiliary equipment data model 30. The parameters are, for example, weight, surface roughness, material or other parameters that may enhance wearing comfort and/or quality of remedy.
In an adjustment method, as illustrated in
In another embodiment, as illustrated in
In other embodiment, as illustrated in
The processor may determine the first material M1 and the second material M2 according the result of the first dynamic state analysis and the result of the first static state analysis. If the front portion of the foot pad portion 31 bears smaller force, the second material M2 may be made of softer material. If the rear portion of the foot pad portion 31 bears heavier force, the second material M2 may be made of harder material. In addition, the processor may fill in other portion of the foot auxiliary equipment data model 30 rather than the foot pad portion 31 with the rubber. In addition, the support portion 32 and the connection portion 33 may be may be filled in with a material including metal, polymer, etc.
Although the number of the adjustment methods as aforementioned embodiments is three, such exemplification is not meant to be for limiting. The aforementioned adjustment method is an optimization process. The purpose of the optimization process is for making the foot auxiliary equipment data model 30 to be the least weight and/or best fit for the human body based on the foot auxiliary equipment data model 30 with sufficient wear strength; however, such exemplification is not meant to be for limiting.
In step S160, as illustrated in
In step S170, the processor performs a second dynamic state analysis and a second static state analysis. Since the physical foot auxiliary equipment has not produced yet, even if the result of the second dynamic state analysis and the result of the second static state analysis are disqualified, the process still can proceed to step S150 to make the processor to perform analysis again until the result of the second dynamic state analysis and the result of the second static state analysis are qualified. As a result, the cost of manufacturing and modifying the physical foot auxiliary equipment may be reduced or avoided.
In step S180, the processor determines whether the result of the second dynamic state analysis and the result of the second static state analysis are qualified. If the result of the second dynamic state analysis and the result of the second static state analysis are qualified, the process proceeds to step S190. If the result of the second dynamic state analysis and the result of the second static state analysis are not qualified, the process proceeds to step S150 to re-adjust or slightly adjust the parameters of the foot auxiliary equipment data model 30.
In step S190, as illustrated in
As described above, before the physical foot auxiliary equipment 50 is printed, the processor performs the simulation and the analysis repeatedly on the foot auxiliary equipment data model 30 and the wearing data model 40. When the result of the simulation and the result of the analysis are qualified, the physical foot auxiliary equipment 50 is started to be printed. As a result, the number of modifying the foot auxiliary equipment 50 and the cost of manufacturing the foot auxiliary equipment 50 may be reduced. In addition, compared with manually manufacturing method in prior art, due to the processor of the present disclosure has fast operating speed, the required time of manufacturing the foot auxiliary equipment of the present embodiment may be reduced. Furthermore, since the method of manufacturing the foot auxiliary equipment of the present embodiment has the advantages of rapid design and high design elasticity, it is possible to manufacture the customized foot auxiliary equipment for different patient's feet.
As illustrated in
As described above, since the foot auxiliary equipment of the embodiment of the present disclosure is produced by 3D print technique, the foot auxiliary equipment is the auxiliary equipment with composite materials. In an embodiment, before the physical foot auxiliary equipment is printed, the 3D scanning may be performed on the patient's foot to obtain at least one foot data model, and then the dynamic state analysis and the static state analysis may be performed on the at least one foot data model to generate at least one foot auxiliary equipment data model. In another embodiment, before the foot auxiliary equipment is printed, the parameters of the foot auxiliary equipment may be adjusted, and then the dynamic state analysis and the static state analysis may be performed on one foot auxiliary equipment data model or combined foot auxiliary equipment data models to optimize the one foot auxiliary equipment data model or the combined foot auxiliary equipment data models.
It will be apparent to those skilled in the art that various modifications and variations can be made to the structure of the disclosed embodiments without departing from the scope or spirit of the disclosure. In view of the foregoing, it is intended that the disclosure cover modifications and variations of the present disclosure provided they fall within the scope of the following claims and their equivalents.
Number | Date | Country | Kind |
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105136647 | Nov 2016 | TW | national |