Goal Seeking in Solid Edge

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1 Goal Seeking in Solid Edge White Paper Goal Seeking in Solid Edge software offers a fast built-in method for solving complex engineering problems. By drawing and dimensioning 2D free-body diagrams, Goal Seeking removes much of the burden of solving common engineering problems.

2 2 Contents Abstract...3 The general problem with problem solving...4 The answers with Goal Seeking...5 Conclusion...7 Additional reading...8

4 4 The general problem with problem solving Take the pulley system in Figure 1 and try to determine where the tension pulley must be placed in terms of the X and Y dimensions in order to obtain a standard belt length of 25 in. (635mm). A complex equation based on a plethora of trigonometric operations will be needed to generate a formula sufficient to solve this variable. Using a CAD system with a parametric 2D solver will still require that the user sneak up on the desired belt length by increasing X since 2D solvers typically treat the circumference as a driven value. There really is no easy way to set a desired belt length but to solve for X. A specific set of equations could be established to enable this, but a completely different set will be needed should a different variable need to be controlled. While a 2-pulley system is simple, it is extremely difficult to solve a system with 4 or more pulleys do the math (closed book, no notes) to see why. Let s back up a bit and start with something easier. The classic example used here is a lever where a force is applied to one end with the intent to lift the other. Sliding the fulcrum along the lever varies the amount of force while sacrificing the lift. A simple free-body diagram in Figure 2 illustrates this concept. Applying a force of 100 pounds to the right will lift a 200- pound load simple to compute, but where will the fulcrum need to be placed in order to lift 286 pounds? Again a simple equation, but rearranging that equation is necessary should the 120 inches need to become 102 inches. Figure 2. The amount of work increases with every question; so does the change for error. This latter example is almost too simple to discuss, but it illustrates the need to be able to attack a problem from different angles. Other common types of problems that often require varying an input parameter to obtain a desired result are: determining beam dimensions based on loads, optimizing areas by varying some boundary parameters, finding critical angles in 4-bar linkages, finding pulley locations for constant belt lengths, computing balance point, calculating maximum and many others practical examples. Figure 1.

5 5 The answers with Goal Seeking Goal Seeking in Solid Edge automates engineering calculations by eliminating the need to rearrange equations and, in many cases, removes the need to even develop equations. The system works by mimicking the simplicity of familiar free-body diagrams while using a 2D parametric sketch solver to compute the geometry of the diagram. Users simply dimension the geometry, establish any interrelated equations and let Goal Seek find the unknown parameter. At the heart of the system, certain measurements, such as area and perimeter, are stored and used by the solver when computing the free-body diagrams. This capability greatly reduces the need for developing complex equations such as capturing circumferences or areas. Let s see this concept in a practical example. Finding the area of a triangle simply requires plugging in the base and height into the equation area = 1/2 (base x height) and out pops the answer. However if a specific area is desired, but say the height can vary, one will have to rearrange the equation and solve for height. While simple here, some of the previous examples (and many others) aren t so easy. Goal Seeking in Solid Edge does just this. Regardless of the equation (or free-body diagram), any variable can be solved. Once the free-body diagram is drawn and dimensioned, Goal Seeking finds a specific value for a desired variable by adjusting the value of another variable. Goal Seeking shows you the effects on the free-body diagram during the process to help give a visual indication of what s happening. The solve process uses optimized algorithms to arrive at a solution fast assuming a solution exists. If not, the system warns the user that the requested solution geometrically (and mathematically) doesn t exist. In the pulley example above, should the user set a belt length that is too short (let s exaggerate by setting it to 100mm) while attempting to find a valid X dimension, Solid Edge will warn the user that the request can t be achieved. Let s take a close look at how Goal Seeking can be used to solve the above pulley example. After drawing the geometry using typical sketch and relationship tools, the area is measured and saved. During this process, the perimeter (belt length) is also captured. The command for gathering input guides the user through all required steps by basically asking what s the goal? and what s to be changed? Here the belt length is to be set to 635mm while adjusting X until that length is satisfied. Goal Seeking quickly snaps to the answer as seen in the change from the initial image on the left to the results on the right (see Figure 3). The user interface spans the top of both. Notice the simplistic approach that Goal Seeking uses to help the user capture the inputs values. Figure 3.

6 White Paper Goal Seeking in Solid Edge Goal Seeking can help engineers in many other areas. The examples above are for problem solving on 2D geometry. However, this 2D geometry can be used to drive actual 3D models. The implications here are that initial calculations used to determine critical fit and position between parts are available throughout the design process. Should the final design need to accommodate a greater load, store more fluid or transmit power faster, the Goal Seeking tool can easily handle the calculations and ultimately drive the 3D geometry. Figure 4 shows an excerpt of a complete 3D assembly of the pulleys and belt being driven from a 2D sketch which was sized using Goal Seeking. 6 The solution offered by Solid Edge is unique in the industry because it is integrated into the 2D and 3D solve process and works directly with the Variable Table, an internal table that lists all dimensions and allows equations to be established between them. Others CAD solutions often rely on add-on calculators that are licensed from third parties and aren t built into the solve process, hence requiring the user to force an update. The competitive landscape for product development means products must be designed better and faster. Having to manually calculate basic parameters to solve fit and position problems is often counterproductive and subject to error. Figure 4.

7 7 Conclusion Engineers are constantly faced with solving tough problems and the buck often stops with them. It's important that they have efficient and reliable tools to provide answers that justify their confidence. Goal Seeking in Solid Edge does just that by providing powerful problem solver tools that are integrated with a 3D modeling system. Using a familiar 2D free-body diagram approach to define the problem, engineers with Solid Edge have a fast, easy way to solve complex problems the perfect formula for faster product development.

8 8 Additional reading This section lists other white papers that illustrate further advantages with Solid Edge. When a complete finite element analysis is required, turn to Solid Edge Simulation or Femap software. FEA For All Engineers (922KB, PDF) Learn more about how to tie 2D conceptual sketches and layouts to 3D, from data import to Zero D. Solid Edge Hybrid 2D/3D Design (442KB, PDF) Create motion studies and generate high quality images and animations of products in action with the explode, render and animate environment. Solid Edge motion simulation, explode render animate (909KB, PDF)

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