PTC Creo Behavioral Modeling Extension helps you save time and effort automatically determining the best design for you, delivering three key capabilities: design studies, smart models, and an open environment that uses calculated results from external programs.
When you have multiple design objectives to consider, such as how to maintain product strength while reducing material wall thickness, it can be very tedious and time-consuming to manually calculate the optimum values. PTC Creo Behavioral Modeling Extension automates this process of calculating them for you using design studies: simply define your engineering goals, then define where your design is flexible and PTC Creo Behavioral Modeling Extension automatically analyzes countless iterations before arriving at the best solution.
PTC Creo Behavioral Modeling Extension can also optimize specific features within a design by creating "smart models." Smart models capture design and process information so that the model has the built-in intelligence to actually understand its function. PTC Creo Behavioral Modeling Extension captures this knowledge as a feature, which is automatically evaluated against the requirements as the design evolves. This automation will increase your level of confidence that the design will function as intended the first time. It also means that engineers can focus their energy on developing the design rather than continually checking engineering requirements.
PTC Creo Behavioral Modeling Extension saves you time and effort in many ways. For instance, very often you need to use complex formulas to calculate design variables. Usually, these calculations require third-party tools. The software automatically reads the output from those third-party programs and updates your design: save time and eliminate the need to manually input values, thereby reducing the risk of errors.
Improve innovation by exploring numerous scenarios that meet your design criteria
Clearly understand the impact of design changes, and prohibit inconsistent behavior
Reduce product costs by optimizing your design to meet multiple objectives
Save time by automatically iterating your design to meet your design requirements
Reduce errors by using the results from external tools without manually transferring data
Features and specifications
Objective-driven design studies
Solve real-world problems and meet a variety of design goals by applying multiple objectives to a design scenario
Optimize designs to satisfy cost-reducing requirements, such as decreasing a product's weight
Conduct feasibility studies to determine if there is a solution that meets the design constraints of the model
Perform sensitivity studies to evaluate "what-if" scenarios to understand the impact of changes
Graphically review the response of the model to virtual testing, making results easier to interpret
Apply statistical attributes to dimensions and parameters, to analyze statistical effects on any measurable goal in the model
Adapt to design changes instantly while preserving the design intent
Capture, group, and store comprehensive design measurements as analysis features that can drive the design
Leverage the power of analysis features to ensure that design changes do not alter the design intent
Flexibly iterate the design, trusting the analysis feature's embedded intelligence to ensure engineering criteria is maintained
Open extensible environment
Increase design flexibility using calculations from external tools without programming or scripting