Autodesk digital prototype

Simulation adds the following capabilities to the Digital Prototyping cycle:. FEA adds substantial value to the product design process. It provides significant insight and design guidance that helps to create better products.

Some of the specific benefits and outcomes of using FEA include the following:. In this simple case, basic engineering equations describe the peak stress:.

For a slightly more complex case, we can supplement basic engineering equations with stress concentration factors from a structures text such as Roark to determine peak stress:. However, with just a little more complexity, the engineering equations are no longer sufficient to determine peak stress. FEA is the best choice. Force is determined from measured displacements:. Stress is determined from measured displacements:.

Step 1. Create Geometry. Step 2. Assign Material Properties. Step 3. Create Mesh. Step 4. Apply Loads and Constraints. Step 5. Review Results. Use the results to determine if design changes are required to reduce the chance of failure, improve performance, or optimize for cost. This section summarizes the assumptions needed when defining an FEA analysis.

These include the analysis geometry, materials, meshing, loads, constraints and choosing the appropriate physics for the situation. These are the primary 3D simulation and modeling idealizations:. These are the primary cross-sectional idealizations:. A finite element mesh consists of nodes and elements:. Element Type. Example Elements. Solid Elements. No element properties are required. Shell Elements. Element thickness is required. Line Elements. Cross section and orientation are required.

Properties serve two primary purposes in Autodesk Inventor Nastran :. Materials are the physical substances used in the model aluminum, steel, etc. You can either import them from a material library or input property data to define the material. It is critical to use the appropriate material type. Iterative prototyping is practical and allows for quick identification of challenging design problems but can be expensive and wasteful depending on the number of iterations required.

There is a version of iterative prototyping — evolutionary prototyping — that removes the need for more than one iteration. The idea behind evolutionary prototyping is to gradually refine the first iteration as improvements are identified based on incoming feedback. Eventually, the first and only prototype becomes the final product after extensive machining and revising. On the other hand, parallel prototyping is a concept-based method where several design concepts are compared concurrently.

Multiple designs are drafted and then compared to find the best versions before a physical prototype is manufactured. This method promotes creativity and conceptual ideation.

Parallel prototyping can be expensive due to a large number of contributing factors. Subsequently, there is a parallel prototyping version — competitive prototyping — where multiple design teams develop concepts independently. Competitive prototyping is useful for larger projects that have the potential for higher risk factors. Rapid prototyping is a more recent product design testing method that incorporates some aspects of the iterative process. Improve your experience — allows us to show you what is relevant to you These cookies enable us to provide enhanced functionality and personalization.

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