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I-DEAS Variational Analysis

Overview. Review the past promises and realities of the CAE products throughout the marketReview of past trends and current demands on CAE in the product development process Product demonstration: I-DEAS Variational AnalysisVGX for Analysis: The technology behind the I-DEAS Variational Analysi

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I-DEAS Variational Analysis

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    1. I-DEAS Variational Analysis The Next Generation of CAE software

    2. Overview Review the past promises and realities of the CAE products throughout the market Review of past trends and current demands on CAE in the product development process Product demonstration: I-DEAS Variational Analysis VGX for Analysis: The technology behind the I-DEAS Variational Analysis The future of VGX for Analysis Technology

    3. The Product Development Process Every Company has a different process...

    4. What is effective use of CAE technology? Effective firms appear to have people who can translate the simulation results at the production stage more accurately. To the extent that the simulation models are not perfectly representative, casual human knowledge (i.e. interpretation of the results) that supplements physical and virtual simulation models is still important. Takahiro Fujimoto Harvard Business School, 3/97

    5. How Evaluation gets done today ... the data strongly indicates that respondents prefer that engineers perform simulation in a collaborative design effort - DH Brown, Jan 1997.

    6. Requirements for Evaluation Technology Managers Require:

    7. Designers and design engineers require: Design guidance from analysis results, not raw analysis results(stress contours, mode shapes, response spectra) Design parameter influence vs. design performance relationship in order to ensure design robustness. CAE Experts require: Design intent & modeling guidance from the 3-D design geometry- not all the complex design geometry A high degree of confidence in the accuracy of their CAE modeling and simulation tools. Requirements for Evaluation Technology

    8. In the Beginning, there was FEA. Promise : Verify design performance without physical prototypes Application : Given to experts to be used to predict performance before prototype or production stage. Result : 3 options Prediction not finished in time Prediction is completed in time and shows design will not perform correctly Fix problem = Production delay Ignore problem = Wasted effort Prediction is completed in time and shows design will perform correctly Raises comfort level prior to product release However, there is little business benefit Barrier to success : Time to complete analysis

    9. Then, there was CAD-Integrated FEA... Promise : Verify design performance earlier in product development cycle. Application : Given to experts to create FEA models directly from Design geometry. Result: Performance was predicted in time, saving one (or many) prototype(s) Then the market saw an opportunity for Analysis to not only verify design, but provide design direction for optimum performance The designer is given the engineering results directly Not in a language they can interpret The engineer interprets the results and makes a design decision No knowledge of design constraints Barrier to Success : Communication between Design and Engineering

    10. Now, there is Designer FEA . Promise : Provide analysis-based design guidance to designers (remove the communication problem). Application : Given to designers to be used early in cycle to get performance evaluation results faster. Result : Designers find they dont have enough time to use even with the easy-to-use, streamlined tools. When they do have enough time, they still get engineering results, not design guidance. Managers have doubts about quality of the results obtained from designers doing engineering work. Barrier to Success: Designers dont have enough time to perform evaluations and cant use the results

    11. How to improve Communication? If there was a way to remove the communication problem and continue to front-load product evaluation such that: Experts had access to complex 3-D design data in a format useful to performing CAE activities CAE specialists could team with designers to provide domain expertise for a given industry/company/product Designers had access to accurate analysis results in a format directly understandable by design engineers Then, SDRC could provide a truly integrated CAE suite that provides design guidance as well as design verification. That integrated CAD/CAE tool could also be positioned within the I-DEAS framework of Collaborative Evaluation.

    12. The Product Development Process

    13. Cost vs. Knowledge

    14. What is Product Evaluation? The process of assigning numerical values to a right to market attribute for the purpose of comparison or improvement.

    15. Prototype Testing Process & Tools

    16. FEA Process & Tools

    17. CAD-Integrated FEA Process & Tools CAE Process Geometry Abstraction Model Construction Solving Visualization How does it fit in to the product development process Redesign after prototype failures Forensic engineering Robust design studies after concept selection Not necessarily FEA, often Microsoft Excel Design optimization before prototyping Depending on prototype costs CAE Process Geometry Abstraction Model Construction Solving Visualization How does it fit in to the product development process Redesign after prototype failures Forensic engineering Robust design studies after concept selection Not necessarily FEA, often Microsoft Excel Design optimization before prototyping Depending on prototype costs

    18. Designer FEA Process & Tools

    19. The Product Definition Wall

    20. How is a design problem posed? Dealing with Unknowns

    21. Design Curves - Traditional Analysis

    22. VGX for Analysis The Need: The focus of Digital Evaluation activities has shifted: Away from reducing the number of prototypes by providing digital design verification. Towards reducing the number engineering change orders by providing digital design guidance. The Challenge: You must decide on a design before you can evaluate performance = no guidance !

    23. VGX for Analysis The Answer: I-DEAS VGX for Analysis Technology leverages the full power of the Variational CAD Model Understand which parameters impact performance Make design decisions fully aware of their impact on performance.

    24. Variational Analysis

    25. Communication Solution - Provide more insight to the product = product knowledge - Information is in a format which communicates the design behavior in an understandable way in which no contour, arrow, animation, . . . can ever do - For the first time the product knowledge curve breaks through the product definition wall!

    26. Design Curves - Variational Analysis Design Curves Display a functional relationship between design variables (r and L) and performance criteria (x) Variational Analysis Creates the same functional relationship Design curves for any geometry !

    27. Variational Analysis First Introduced in I-DEAS Master Series 6A Linear Structural Static Solutions In I-DEAS Master Series 7 Linear Structural Statics and Normal Mode Dynamics I-DEAS variational design technology (VGX) allows you to create a single piece of geometry that describes your entire design space. Using traditional methods, if you analyzed that design, you'd have to fix the variables, build your evaluation model, solve, and then view the results for that one configuration. Now SDRC has extended the power of VGX into the area of Analysis. Using I-DEAS VGX for Analysis technology, your design space is directly translated into an analysis space, such that when you are done with your first analysis, you know how the design will perform in every configuration described by your design geometry. And with I-DEAS Variational Analysis, the first in a series of products that are powered by VGX for Analysis, you can quickly evaluate which design change produces the greatest effect on the model's performance. I-DEAS Variational Analysis extends the "ease-of-use" of design curves to even your most complicated product designs. Variational Analysis allows you to create product-specific design curves for any geometry with an unlimited number of design variables of your choosing. And, once you have meshed the part and selected the variables, you hit one button and you get the results for the entire design space in one solve. No iterations, no re-starts.I-DEAS variational design technology (VGX) allows you to create a single piece of geometry that describes your entire design space. Using traditional methods, if you analyzed that design, you'd have to fix the variables, build your evaluation model, solve, and then view the results for that one configuration. Now SDRC has extended the power of VGX into the area of Analysis. Using I-DEAS VGX for Analysis technology, your design space is directly translated into an analysis space, such that when you are done with your first analysis, you know how the design will perform in every configuration described by your design geometry. And with I-DEAS Variational Analysis, the first in a series of products that are powered by VGX for Analysis, you can quickly evaluate which design change produces the greatest effect on the model's performance. I-DEAS Variational Analysis extends the "ease-of-use" of design curves to even your most complicated product designs. Variational Analysis allows you to create product-specific design curves for any geometry with an unlimited number of design variables of your choosing. And, once you have meshed the part and selected the variables, you hit one button and you get the results for the entire design space in one solve. No iterations, no re-starts.

    28. Variational Analysis Sensitivity Analysis How important is each design variable in determining a particular performance criteria? Design Parameter Studies When I change these design variables what will the value of my performance criteria be? Generation of Design Curves Complete results for Particular Configurations Contour Plots / Animations Optimization with respect to multiple design variables Automatically find the combination of design variables that will create a design that has a certain performance.

    29. How is Variational Analysis different from Traditional CAE? Whats not different: Type of results Modeling / solution process from the user standpoint

    31. Model: Holder Boundary Conditions supported by springs radial and axial force

    32. Model: Holder

    33. Model: Holder

    34. Model: Crankcase Boundary Conditions Clamped along cylinder head Intensity force on 2 nodes

    35. Model: Crankcase

    36. Model: Wheel Disk Boundary Conditions Clamped on inner edge (with symmetry conditions) Pressure load on the face

    37. Model: Wheel Disc

    38. Model: Oil Pan Boundary Conditions 6 bolts (clamped condition) Surface pressure

    39. Model: Oil Pan

    40. Model: Oil Pan

    41. The Approach

    42. Functional relationship

    43. The Taylor Series Expansion

    44. Derivatives of U Using these equations we can calculate any order derivative of U. Now the question becomes: Things to Note: The configuration of the derivative equations means that the solver only has to manipulate the K matrix once and that same manipulation is used for all derivative calculations, therefore the solution is very computationally efficient. Things to Note: The configuration of the derivative equations means that the solver only has to manipulate the K matrix once and that same manipulation is used for all derivative calculations, therefore the solution is very computationally efficient.

    45. Derivatives of K The Variational Analysis elements contain the necessary functions to calculate the higher order B, J and D matrices given the required input.

    46. Accuracy of the Taylor Series Once the user has specified the desired accuracy, Variational Analysis will automatically determine the appropriate order of derivation to achieve that accuracy over the desired variation range Once the user has specified the desired accuracy, Variational Analysis will automatically determine the appropriate order of derivation to achieve that accuracy over the desired variation range

    47. Design by Analysis Optimization Matching / Correlation Tolerancing Real-Time review of results Multi-Discipline Application (future) The Applications of the method

    48. The future of Variational Analysis Element Library Wide library of elements Solvers Iterative solver Sparse Matrix Solver Results Viewer I-DEAS independent results viewer Create design curves/surfaces directly from VA results Client/Server architechture

    49. The Vision Multi-disciplines

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