Design support device and design support method

Abstract

To provide a design support apparatus and a design support method that reduce trial and error as much as possible and improve a design efficiency so as to enable a quick design change.SOLUTION: A design support apparatus includes an input unit that can input at least a design variable that determines a required performance of an industrial machinery, an arithmetic unit consisting of a computer, and an output unit that presents an output of the arithmetic unit. The arithmetic unit includes a required performance range calculation unit that can obtain as a required performance range a relation between the required performance of the industrial machinery and a plurality of design variables that determine the required performance, and also presents to the output unit a second design variable that contributes to the required performance of the industrial machinery within the required performance range using the required performance range calculation unit when a first design variable of the plurality of design variables is given from the input unit and a value thereof is changed and the required performance of the industrial machinery is out of the required performance range.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a design support device and a design support method for supporting the design of industrial machines having a plurality of design variables. [Background technology]

[0002] When designing industrial machinery, multiple design variables must be set appropriately to ensure that the required performance is met. In such cases, changing any one design variable may result in the required performance not being met, making it necessary to change other design variables in addition to the one you want to change. The more design variables there are, the more difficult it becomes to determine which other design variables need to be changed to meet the required performance, resulting in numerous trial and error iterations.

[0003] For this reason, there is a demand for design support devices that assist in setting design variables. As part of this, for example, Patent Document 1 proposes a search device that efficiently searches for valid ranges that represent the range of design variables that satisfy various performance conditions and constraints. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2020-64479 A Summary of the Invention [Problem to be solved by the invention]

[0005] However, with the device described in Patent Document 1, even if a design variable to be changed and its change value are given, it is not possible to propose other design variables that should be changed to satisfy the required performance.

[0006] The more design variables set for an industrial machine, the greater the number of combinations of other design variables that must be changed to satisfy the required performance, and the greater the time and cost required for trial and error. Therefore, there is a demand for a design support device and design support method that can reduce trial and error as much as possible and improve design efficiency by enabling rapid design changes. [Means for solving the problem]

[0007] From the above, in the present invention, The industrial machine manufacturing method includes: a first design variable calculation unit that calculates a value of each design variable based on a relationship between a required performance of an industrial machine and a plurality of design variables in the required performance; an output unit that outputs the value of each design variable calculated by the first design variable calculation unit; and an identification unit that identifies an arbitrary number of design variables from among the plurality of design variables, wherein the first design variable calculation unit calculates values ​​of the design variables identified by the identification unit based on a range of the required performance of the industrial machine; and a second design variable calculation unit that calculates values ​​of design variables other than the design variables identified by the identification unit based on the values ​​of the design variables calculated by the first design variable calculation unit and the range of the required performance of the industrial machine. and a processing unit that processes the design variables, wherein when a first design point determined by the first design variable identified by the identifying unit and the second design variable calculated by the second design variable calculation unit is allowed to be within a region of a predetermined width, the processing unit displays the first design point together with the region of the predetermined width on a plane that displays a required performance range, with the design variables plotted on the vertical and horizontal axes on the output unit, and when the processing unit detects, as a result of the search, a plurality of values ​​of the second design variable that bring the required performance of the industrial machine within the required performance range, the processing unit selects the side that can widen the region of the predetermined width. "

[0008] In addition, in the present invention, A design support method for a design support device including a first design variable calculation unit, an output unit, an identification unit, a second design variable calculation unit, and a processing unit, wherein the first design variable calculation unit calculates a value of each design variable based on a relationship between a required performance of an industrial machine and a plurality of design variables in the required performance, the output unit outputs the value of each design variable calculated by the first design variable calculation unit, the identification unit identifies an arbitrary number of design variables from among the plurality of design variables, the first design variable calculation unit calculates the values ​​of the design variables identified by the identification unit based on a range of the required performance of the industrial machine, and the second design variable calculation unit outputs the values ​​of the design variables calculated by the first design variable calculation unit and a relationship between the required performance of the industrial machine and a plurality of design variables in the required performance. and when a first design point determined by a first design variable determined by the determining unit and a second design variable calculated by the second design variable calculation unit is allowed to be within a region of a predetermined width, the processing unit displays the first design point together with a region of a predetermined width on a plane that displays the required performance range, with design variables plotted on the vertical and horizontal axes on the output unit, and when the processing unit detects, as a result of the search, a plurality of values ​​of the second design variable that bring the required performance of the industrial machine into the required performance range, the processing unit selects a side that can widen the region of a predetermined width. " [Effects of the Invention]

[0010] According to the present invention, by comparing the design variables to be changed and their values ​​with a predetermined required performance range, other design variables that should be changed to satisfy the required performance can be proposed, thereby improving the efficiency of design. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram showing an example of the configuration of a design support apparatus according to an embodiment of the present invention; [Figure 2] FIG. 1 is a diagram showing the relationship between design variables of an industrial machine and a required performance range. [Figure 3] FIG. 10 is a diagram for explaining how to propose a design variable B as another design variable that should be changed in response to a change in a design variable A in order to satisfy the required performance range. [Figure 4] A graph showing the design variable B and performance values ​​at the change points. [Figure 5] A graph showing the design variable B and performance values ​​at the change points. [Figure 6] FIG. 1 is a diagram illustrating the concept of design constraint range. [Figure 7] FIG. 10 is a diagram showing the concept of proposing multiple design constraint ranges. [Figure 8]A diagram showing the idea of ​​proposing other candidates. [Figure 9] FIG. 10 is a diagram illustrating the concept of proposing other candidates that are closest to the changed value of design variable A. [Figure 10] FIG. 10 is a diagram illustrating the concept of proposing other candidates that are closest to the changed value of design variable A. [Figure 11] A diagram showing the relationship between design variables B and C in an industrial machine with design variables A, B, and C. [Figure 12] A diagram showing the relationship between design variables B and C in an industrial machine with design variables A, B, and C. DETAILED DESCRIPTION OF THE INVENTION

[0012] An embodiment of the present invention will now be described with reference to the drawings. [Example]

[0013] First, an example of the basic configuration of a design support device according to an embodiment of the present invention will be described with reference to Fig. 1. The design support device 100 shown in Fig. 1 is configured by a computer device, and generally includes an external input device such as a keyboard and an external output device such as a monitor, and is connected via a bus to a ROM, a RAM, a processing unit (CPU) that performs calculations, a database, etc. Note that Fig. 1 shows processing functions that are executed by software processing in the processing unit (CPU), and therefore does not depict the above-mentioned hardware elements.

[0014] In realizing the design support device according to the present invention, it is preferable to use a personal computer including an input unit for inputting at least design variables that determine the required performance of the industrial machinery, and a display unit for outputting the calculation results.

[0015] Specific examples of use of the design support device according to the embodiments of the present invention will be described in the second and subsequent embodiments. In the first embodiment, a required performance range calculation unit 101, which is a basic element that a design support device should have, will be described. The required performance range calculation unit 101 can be prepared in advance of actual use and provided as, for example, a required performance range database, or it may be calculated each time actual use occurs. Here, the description will be given with the assumption that it is provided as a required performance range database.

[0016] The required performance range database stores the relationships shown in Figure 2, and provides required performance range 1 for each required performance against design variables A and B on the vertical and horizontal axes. Specifically, in order to design and manufacture industrial machinery, it is necessary to satisfy multiple required performance (constraint conditions), such as "The metal temperature at part XX must be T1 degrees or less," "The pressure at part XX must be P1 or more," and "The vibration at part △△ must be G1 or less."

[0017] In the present invention, the influencing factors (influencing factors) of these required performance (constraint conditions) are already known, and it is known, for example, that "the metal temperature of part XX is determined by design variables A and B," "the pressure of part XX is determined by design variables A and C," and "the vibration of part △△ is determined by design variables D, E, and F."

[0018] Furthermore, the relationship between the design variables and the required performance is known from prior analysis. An example of this relationship is required performance range 1 in Figure 2, where, within this range, for example, "the metal temperature at part XX can be kept below T1 degrees," "the pressure at part XX can be kept above P1," and "the vibration at part △△ can be kept below G1."

[0019] In the present invention, all of this is achieved by prior analysis and configured as a required performance range database, or alternatively, required performance and design variables may be given as input to required performance range calculation unit 101 each time of actual use, and the corresponding design variables and required performance may be found by calculation and given as output.

[0020] The required performance range 1 may be defined as the point cloud information in Figure 2, or may be expressed as a function, and any method of realization may be used. The number of influencing factors of the required performance (the number of design variables) may be three or more, but for convenience of explanation, we will assume that there are two, and the explanation will be given on the two-dimensional plane in Figure 2. However, there are cases where a certain design variable is an influencing factor of multiple required performances, and changing it may not necessarily lead to an improvement in both required performances. [Example]

[0021] In the first embodiment, it has been explained that a required performance range database should be provided as the required performance range calculation unit 101. In the second embodiment of the present invention, it is proposed that when configuring a design support device using a computer device, it is preferable to provide the following calculation processing units as basic functions that should be provided in the calculation unit CPU of the computer device.

[0022] The first of these is a function to access the required performance range database 101, and is provided with a design variable calculation unit that calculates the value of each design variable based on the relationship between the required performance of the industrial machine and multiple design variables in the required performance. Note that the design variable calculation unit may be provided with multiple functions for each of multiple design variables.

[0023] The second feature is that when accessing the required performance range database 101, an identification unit is provided that identifies an arbitrary number of design variables from among a plurality of design variables, that is, that sets what to access.

[0024] The third feature is that the system is provided with a processing unit that processes the values ​​of the design variables obtained by accessing the required performance range database 101 into meaningful information. [Example]

[0025] In the third and subsequent embodiments, we will explain the application and practical examples of a design support device realized by combining the basic functions described above. Fig. 1 shows an example of the configuration of a design support device according to an embodiment of the present invention, and shows processing functions executed by software processing in the processing unit (CPU) of a computer device.

[0026] The design support device 100 is composed of a required performance range calculation unit 101 that calculates a required performance range of an industrial machine having multiple design variables; a setting unit 102 that sets any number of design variables from the multiple design variables of the industrial machine; a first change unit 103 that changes the values ​​of the design variables set by the setting unit 102 based on the required performance range of the industrial machine calculated by the required performance range calculation unit 101; a second change unit 104 that changes the values ​​of design variables other than the design variables set by the setting unit 102 based on the range of values ​​of the design variables changed by the first change unit 103 and the required performance range; a calculation unit 105 that calculates the range of values ​​of the design variables changed by the first change unit 103 and the second change unit 104; and an output unit 106 that outputs the range of values ​​of each design variable of the industrial machine.

[0027] In comparison with the basic functions described in the second embodiment, the design variable calculation unit is the first change unit 103 and the second change unit 104, the identification unit is the setting unit 102, and the processing unit is the calculation unit 105.

[0028] It should be noted that the required performance range calculation unit 101 is provided as a required performance range database that has been prepared and configured in advance, and in this case, it is assumed that "metal temperature of XX part" is specified in advance as the required performance, and that Figure 2 is displayed on an output device such as a monitor (not shown) via the output unit 106 as required performance range 1 where "metal temperature of XX part is T1 degrees or less."

[0029] 2 shows a plot of combinations of design variables A and B. Here, the design variables A and B are plotted on the vertical and horizontal axes, and the range of combinations of design variables that satisfy the performance required by the required performance range calculation unit 101 is shown as required performance range 1. In other words, it shows that the requirements can be satisfied if the combination of design variables A and B exists within this required performance range 1.

[0030] In this example, it is assumed that there is a positive correlation such that increasing the value of design variable A requires increasing design variable B as well, in order for the design variable combination position (design point 20) to fall within required performance range 1. For convenience of expression, the following explanation will be given using only two design variables, A and B, but there may be three or more explanatory variables, and there is no upper limit on the number.

[0031] When the above-described required performance range calculation unit 101 is implemented online, a simulation or experiment is performed for each plot point to calculate the performance for each combination of design variables. Here, a three-dimensional design space is created based on design variable A, design variable B, and the calculated performance, and required performance range 1 is calculated. Note that the required performance range calculation unit 101 may be configured to be created automatically, with the range stored in a database, and to refer to the database during operation, or may be configured to calculate the required performance range each time.

[0032] For example, one method is to create contour lines of performance values ​​for the design space and use the contour lines that represent thresholds for the required performance to determine the required performance range 1. At this time, with the aim of shortening the time required for multiple simulations or experiments, another method is to use a regression model obtained by machine learning techniques with a combination of multiple design variables as explanatory variables and the performance obtained based on those explanatory variables as the objective variable, or a response surface obtained by response surface methodology as the design space 2.

[0033] In the present invention, it is assumed that a required performance range 1 determined by a combination of design variables that can satisfy the required specifications is determined in advance.

[0034] 3 is a diagram for explaining the proposal of design variable B as another design variable to be changed in order to satisfy required performance range 1 in response to a change in design variable A. In FIG. 3, the current design point 20, where design variables A and B are both 0, is used as a reference, and design point 20 is assumed to be within required performance range 1.

[0035] According to this diagram, the initial design point 20 is within the required performance range 1 and fully meets the required specifications, but there may be some circumstances in which you want to change this setting variable A. This can occur when you want to find a more suitable point, or when you want to apply design variables defined for other industrial machinery to a similar industrial machine to check its performance.

[0036] When a designer attempts to make a design change to reduce design variable A for such a design point 20, the designer facing the design support system sets design variable A as the design variable to be changed from setting unit 102 in Fig. 1. The designer also specifies the change difference value of design variable A himself, or the change difference value is automatically set by first change unit 103. In this case, the change difference value of design variable A is minus 2 in the example in Fig. 3, which is change point 21 in Fig. 3, and this state is displayed on the monitor.

[0037] In this case, change point 21 falls outside required performance range 1, and the design is invalid. In this regard, as in the prior art, if required performance range 1 is unknown, trial and error is required, such as changing the set value for design variable A and changing the set value for other design variable B. In this case, the more design variables there are, the more trial and error there is, and as a result, it takes a huge amount of time and cost to determine appropriate change point 21.

[0038] On the other hand, if required performance range 1 is known by required performance range calculation unit 101 and is displayed on a monitor or the like as shown in FIG. 3, the design will be valid even if the value of design variable A set by the designer is not changed. In other words, by proposing a change to another design variable that needs to be changed in order for change point 21 to fall within required performance range 1, in this case design variable B, the design will fall within required performance range 1 and the design will be valid.

[0039] For example, in the display example in Figure 3, the factors influencing the required performance "metal temperature of part XX" are design variables A and B, and because design variable B, other than the first changed design variable A, is shown on the vertical axis, it is proposed that design variable B should be changed, and that by changing the amount by -2, it will be within the required performance range of 1. This is change 22 in Figure 3, and the suggestion is made by changing and displaying this state on the monitor.

[0040] Figure 4 is a graph showing the relationship between design variable B and performance values ​​at change points. The horizontal axis represents the magnitude of design variable B, and the vertical axis represents the performance at this magnitude, showing the range of design variables where the performance characteristics (design space 2) are equal to or greater than the threshold value of the required performance. At this time, as shown in Figure 4, by comparing change point 21 with design space 2, the performance value at change point 21 and the gradient 40 in design space 2 are calculated. Based on the difference between the performance value at change point 21 and the threshold value of the required performance, it is possible to propose the direction of change to design variable B according to gradient 40.

[0041] Figure 5 is also a graph showing the relationship between design variable B and performance values ​​at change points. As shown in Figure 5, while keeping the value of design variable A fixed, many design variables B are set, and it becomes possible to propose the direction of change of design variable B according to the performance values ​​of multiple change points 210.

[0042] In this way, the output unit 105 proposes values ​​for design change B so that the design falls within the required performance range 1, and based on the proposal results, the designer combines the values ​​of design variable A and design variable B to determine the post-change design point 22.

[0043] The above-described processing of the third embodiment is realized by the functions of the setting unit 102, the first change unit 103, and the required performance range calculation unit 101 in FIG. 1 working together to externally display the results on a monitor. [Example]

[0044] In Example 3, the design variables are specific numerical values ​​without a range, and only changes in design points are described as targets, but in Example 4, we consider a case where the design variables have a range and are shown as a design domain. As a specific example of the design domain, in actual industrial machinery, some constraints may be imposed on the design points; for example, if the design variables are dimensions, the dimensional tolerances are the constraints.

[0045] In the fourth embodiment, in addition to the functions of the setting unit 102, the first changing unit 103, and the required performance range calculation unit 101 in FIG. 1, the functions of the second changing unit 104 and the calculation unit 105 are further utilized.

[0046] Fig. 6 is a diagram showing the concept of the design constraint range. In the third embodiment, the design variables were explained as constant values ​​(set points), but when dimensional tolerances and the like are taken into consideration, there is a range (design constraint range) for the combination of design variables, and they should be considered in a region centered on the set point. In the second embodiment, the combination of design variable A and the design variable was a constant point indicated by 20, but in the fourth embodiment, it is considered as a range or region 201 with a range of dimensional tolerances and the like centered on 20.

[0047] 6, it is assumed that a design constraint (design constraint range) 201 is imposed on design variable A and design variable B for design point 20 determined by the current combination of design variable A and design variable B. In other words, when the setting unit 102, first change unit 103, and required performance range calculation unit 101 are displaying the point in FIG. 3, if it is confirmed that a design constraint exists (it is assumed that the design constraint is grasped and stored in advance), the second change unit 104 changes design point 20 to area 201 including the design constraint and displays it.

[0048] Second change unit 104 also applies the second change, which results in a similar region display, to post-changed design point 22. In this case, the process up to determining post-changed design point 22 is the same as in Example 2, and therefore a description thereof will be omitted. Once post-changed design point 22 is determined, second change unit 104 first sets design constraint 220, which has the same range as design constraint 201, to post-changed design point 22.

[0049] Furthermore, the calculation unit 105 then functions to compare the required performance range 1 with the design constraints 220, and if the design constraints 220 should be expanded or reduced, propose new design constraints 221. Based on the proposal results, the designer can determine the new design constraints 221.

[0050] According to the fourth embodiment, a new design constraint range can be set for the changed design point 22. This means that, for example, the dimensional tolerance of the changed design point 22 can be set looser than the conventional dimensional tolerance, thereby achieving an effect of producing an inexpensive product. [Example]

[0051] Fig. 7 is a diagram showing the concept of proposing multiple design constraint ranges. In Fig. 7, a required performance range 2 is assumed in which the required design range has a complex shape. The present invention can be implemented regardless of the shape of the design range.

[0052] In Fig. 7, if a design change is made to reduce design variable A for the current design point 20, change point 21 will fall outside the required performance range 2, and the design will not be viable. In this case, a change to design variable B will be proposed using the methods described in Examples 2 and 3, but as shown in Fig. 7, multiple design points may be proposed.

[0053] In this case, the post-change design point 23 and the post-change design point 24 are simultaneously output from the output unit 106, and the design constraints 230 and 240 that can be set at the respective design points are also output.

[0054] Based on the multiple proposals displayed on the monitor, the designer can select post-change design point 23 and design constraint 230 if he wants to reduce the change value of design variable B even if it reduces the range of the design constraint, or select post-change design point 24 and design constraint 240 if he wants to increase the range of the design constraint even if it increases the change value of design variable B.

[0055] It is also possible to temporarily select post-change design point 24 and set design constraints within the same range as current design constraints 201. This provides a guideline for selecting the post-change design point, allowing the designer to explain the reasons for his or her selection. [Example]

[0056] Fig. 8 is a diagram showing the idea of ​​proposing other candidates. With reference to Fig. 8, a case will be described in which, in the required performance range 2 used in Example 4, for the initial point 20 whose region is 200, the changed point 21 does not fall within the required performance range 2 even if the other design variable B is changed (moved in the vertical axis direction).

[0057] In this case, at change point 21, the change value of design variable A is about -3.5, which is too large, so even if design variable B is changed to search for a region that matches required performance range 2 along the vertical axis, it does not fall within required performance range 2, and the design is not valid. In this case, with the intention of reducing design variable A, a value that falls within required performance range 2 is searched for by reducing design variable A (for example, by -2.5). As a result of the search, changed design point 25 is proposed. [Example]

[0058] When the required performance range 2 described in the sixth embodiment is not satisfied, a method for setting the design variable A so as to be as close as possible to the changed value will be described with reference to FIG.

[0059] 9, first, only the value of design variable A is changed (moved along the horizontal axis) to search for search point 211 that overlaps with required performance range 2. Then, a gradient 41 is calculated at search point 211 along the frame of required performance range 2. According to gradient 41, search point 211 is moved in a direction approaching change point 21, and nearest point 212 that is closest to change point 21 is determined. Finally, a changed design point 26 and design constraint 260 are proposed that fall within required performance range 2 even when the same range as design constraint 200 imposed on current design point 20 is set. These processes are executed by calculation unit 105.

[0060] Here, a search method using gradient 41 has been given as an example, but another method is to generate multiple change points 213 centered around change point 21 as shown in Figure 10 and determine the nearest point 212 from among them. [Example]

[0061] Although the first to seventh embodiments have been described using two design variables, they can also be applied to three or more design variables. Here, assume that an industrial machine has design variables A, B, and C.

[0062] In this case, if design variable A is reduced, it will fall outside the required specification range 1 as shown in Figure 3, and a design change to design variable B will be proposed. Here, we will assume a four-dimensional design space consisting of design variables A, B, C, and performance, and explain this using Figure 11, which is a graph showing a two-dimensional space shown only with design variables B and C.

[0063] In this case, to fall within required performance range 1, it is sufficient to change design point 27 by changing only design variable B, and there is no need to change design variable C. In this case, by excluding design variable C from the proposal, the designer can focus only on the design variables that need to be changed, further improving the efficiency of the design. [Example]

[0064] In an industrial machine having design variables A, B, and C as described in Example 8, if a change in design variable A requires changes to both design variables B and C as shown in Fig. 12, a design with a higher degree of freedom can be achieved by comparing the possible range 28B of design variable B with the possible range 28C of design variable C within required performance range 1 and proposing to prioritize the smaller design variable value. In Fig. 12, because range 28B is smaller than range 28C, it is proposed to determine design variable B first, and then determine design variable C. [Example]

[0065] In Fig. 1, the output unit 106 provides output to, for example, a monitor, and it is preferable to display the diagrams shown in Fig. 2 to Fig. 12 on the monitor screen. These diagrams show multiple design variables and the correlation characteristics between these design variables and the required performance as a required performance range, and show the position on the required performance range of the correlation characteristics when some of the design variables are changed. In addition, when other design variables are changed, the relationship with this required performance range is also shown. [Explanation of symbols]

[0066] 1: Required specification range 2: Design space 20: Current design point 21: Changes 22-28: Design points after change 100:Design support equipment 101: Required performance calculation section 102: Setting section 103: First Change Section 104: Second change section 105: Calculation section 106: Output section

Claims

1. a first design variable calculation unit that calculates a value of each design variable based on a relationship between a required performance of the industrial machine and a plurality of design variables in the required performance; an output unit that outputs the values ​​of the design variables calculated by the first design variable calculation unit; an identification unit that identifies an arbitrary number of design variables from among the plurality of design variables; Equipped with the first design variable calculation unit calculates values ​​of the design variables identified by the identification unit based on a range of required performance of the industrial machine; moreover, a second design variable calculation unit that calculates values ​​of design variables other than the design variables identified by the identification unit, based on the values ​​of the design variables calculated by the first design variable calculation unit and the range of the required performance of the industrial machine; a processing unit for processing the design variables; Equipped with the processing unit, when a first design point determined by the first design variable identified by the identifying unit and the second design variable calculated by the second design variable calculating unit is allowed to be within a region of a predetermined width, presents the first design point together with the region of a predetermined width on a plane that displays a required performance range, with design variables on the vertical and horizontal axes, on the output unit; the processing unit, when detecting a plurality of values ​​of the second design variable that make the required performance of the industrial machine fall within the required performance range as a result of the search, selects the side that can widen the region of the predetermined width.

2. A design support device according to claim 1, the first design variable calculation unit and the second design variable calculation unit calculate the value of each design variable so that the range of the value of each design variable is maximized within a range of required performance of the industrial machine.

3. A design support device according to claim 1, the processing unit, when the value of the first design variable is changed and the required performance of the industrial machine falls outside the required performance range, presents on the plane the value of a second design variable that brings the required performance of the industrial machine into the required performance range, and a second design point determined by the first design variable, together with an area of ​​a predetermined width.

4. A design support device according to claim 3, a processing unit for processing the second design point on the plane, the processing unit adjusting the area of ​​the second design point to a size different from that of the area of ​​the first design point;

5. A design support device according to claim 1, the processing unit fixes the value of the first design variable after the change, and variably adjusts the value of the second design variable to search for a value of the second design variable that contributes to bringing the required performance of the industrial machine into the required performance range.

6. A design support device according to claim 1, the processing unit, when fixing the value of the first design variable after the change and variably adjusting the value of the second design variable, is unable to find a value of the second design variable that contributes to bringing the required performance of the industrial machine into the required performance range, changes the value of the first design variable after the change and searches again.

7. 2. The design support device according to claim 1, A design support device comprising a display unit that displays the information output by the output unit.

8. A design support method in a design support apparatus including a first design variable calculation unit, an output unit, an identification unit, a second design variable calculation unit, and a processing unit, comprising: the first design variable calculation unit calculates a value of each design variable based on a relationship between a required performance of the industrial machine and a plurality of design variables in the required performance; the output unit outputs the values ​​of the design variables calculated by the first design variable calculation unit; the identifying unit identifies an arbitrary number of design variables from among the plurality of design variables; the first design variable calculation unit calculates values ​​of the design variables identified by the identification unit based on a range of required performance of the industrial machine; the second design variable calculation unit calculates values ​​of design variables other than the design variables identified by the identification unit, based on the values ​​of the design variables calculated by the first design variable calculation unit and the range of the required performance of the industrial machine; the processing unit, when a first design point determined by the first design variable identified by the identifying unit and the second design variable calculated by the second design variable calculating unit is allowed to be within a region of a predetermined width, presents the first design point together with the region of a predetermined width on a plane that displays a required performance range, with design variables on the vertical and horizontal axes, on the output unit; When a plurality of values ​​of the second design variable that make the required performance of the industrial machine fall within the required performance range are detected as a result of the search, the processing unit selects a side that can widen the region of the predetermined width. A design support method in a design support device.

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