DATADVANCE progresses pSeven at lightning pace

DATADVANCE is adding new features and functionality to its pSeven design space exploration software platform at a lightning pace. pSeven 6.6 Release was unveiled April 5, followed by pSeven 6.7 three days ago. Highlights of the two releases include a new interactive Predictive Modeling Toolkit built on the company’s pSeven Core algorithms (formerly called MACROS), new ANSYS Workbench integration, and a rich array of feature updates and enhancements to further increase pSeven’s performance, stability and ease of use.

pSeven 6.6 Predictive Modeling Toolkit. Source: DATADVANCE. (Click image to enlarge.)

Highlights of pSeven 6.6 that make predictive modeling and data analysis easily available:

  • Use any data source a user wants: bring in data from Excel using the updated and improved Excel import tool, read it from text files in virtually any tabular format, or load it from the pSeven project database.
  • Train models with a click of a button: With the new SmartSelection technology implemented in the Predictive Modeling Toolkit, pSeven automatically selects the best training method and adjusts its parameters in order to train the most accurate model.
  • State-of-the-art modeling algorithms let users add a priori knowledge and subjective information to their data. For example, users can set noise levels for data samples, or assign higher weights to important or more accurate sample points.
  • Fine-tune model builder settings: Advanced users will benefit from the range of settings provided in the Model Builder. If a user wants to direct the modeling process in a given way, pSeven provides this steering capability. On the other hand, if a user is not sure where to go next, the SmartSelection technology will provide guidance.
  • Validate models in a clean and intuitive way using the Model Validator tool to visualize model accuracy metrics.
  • Evaluate a model that the user has trained and view the results immediately, thanks to the tight integration of the Predictive Modeling Toolkit with other pSeven data analysis tools. Or add the model to a pSeven workflow automating mass calculations.
  • For multitasking, pSeven lets users train multiple models, validate and evaluate them in parallel, all in the multifunctional pSeven Analyze.
  • pSeven models are available to use wherever the user wants: model code can be exported to MATLAB or C, or compiled into a DLL and called from Excel spreadsheets.
  • Automate everything the user needs, even model training and export: pSeven supports approximation workflows through its std.ApproxBuilder block. In pSeven 6.6, std.ApproxBuilder also received significant updates and now supports all features available in the Predictive Modeling Toolkit, including support for incremental model training, data sample weighting and processing noisy data.

Like all previous releases, pSeven 6.6 aims to deliver greater flexibility and a wider feature set while staying backward-compatible in both program compatibility and continuing support for data analysis, optimization and process integration methods:

  • pSeven 6.6 includes an updated robust optimization algorithm for problems that include computationally expensive objectives. Efficiency of the new method is based on more intensive use of modeling capabilities, which allows the optimizer to reduce the required number of objective function evaluations.
  • Updated PTC Creo integration block provides full support for integration with PTC Creo 3.0.
  • Updated SOLIDWORKS integration block with improved error handling and higher stability.
  • Updated Python integration block with simplified import of third-party Python modules, further increasing pSeven’s capabilities for scientific computing.

Predictive Modeling Toolkit, the latest addition to pSeven’s wide range of data analysis and post-processing tools available in its Analyze mode, is a set of interactive tools that enables thorough data analysis, approximation model training, model validation and evaluation with high accuracy and less effort. The Predictive Modeling Toolkit lets users:

  • Train predictive models on their data with Model Builder.
  • Let SmartSelection automatically find the best modeling algorithm.
  • Find the best model with Model Validator.
  • Evaluate models in pSeven or export model code for external use.
pSeven 6.6 Model Builder. Source: DATADVANCE. (Click image to enlarge.)

Model Builder

  • Predictive Modeling Toolkit: train predictive models on user data.
  • Let SmartSelection find the best modeling algorithm and tune its parameters to improve model quality.
  • Control every aspect of model training if desired.
  • Store models in pSeven project database where they are always available for evaluation or export.
pSeven 6.6 Model Validator. Source: DATADVANCE. (Click image to enlarge.)

Model Validator

  • Predictive Modeling Toolkit: find the best model.
  • Analyze model quality using various error metrics.
  • See how models compare in terms of accuracy and robustness on training and test data.
  • Visually test quality of even complex high-dimensional models.
pSeven 6.6 examples. Source: DATADVANCE. (Click image to enlarge.)

New examples

  • Newest pSeven capabilities for surrogate-based robust design optimization.
  • Integration with LMS Imagine.Lab Amesim in design optimization.
  • Run-ready workflows—a diverse collection of complex workflows wrapped into an easy-to-use customized run interface, illustrating pSeven’s capabilities for producing platform-based applications.
pSeven 6.6 algorithmic core updates. Source: DATADVANCE. (Click image to enlarge.)

Algorithmic core updates

  • New surrogate-based optimization algorithm for robust design optimization problems with computationally expensive objective functions.
  • Improved optimization results filtering, increasing overall solution quality.
  • New approximation features: support for incremental model training, sample weighting and additional output noise data for more accurate model training.
pSeven 6.6 new integration capabilities. Source: DATADVANCE. (Click image to enlarge.)

Integration capabilities

  • Full support for PTC Creo 3.0.
  • Improved SOLIDWORKS integration with better stability and error handling.
  • Advanced Python integration and the capability to import third-party modules in embedded scripts.
pSeven 6.6 usability enhancements. Source: DATADVANCE. (Click image to enlarge.)

Usability and performance

  • Less memory usage for long-running workflows.
  • Better-looking plots in Analyze.
  • Faster file browsing and cleaner graphical interface.
  • Many additional smaller enhancements.
pSeven 6.7 ANSYS Workbench integration block. Source: DATADVANCE. (Click image to enlarge.)

 In the just-announced pSeven 6.7 Release, major updates include:

  • New ANSYS Workbench integration block, std.ANSYSWorkbench, enables integrating ANSYS Workbench projects into pSeven workflows. This block maps a project’s input and output parameters to ports, allowing use of ANSYS Workbench simulations in pSeven to perform optimization and other design space exploration tasks. A new project showing std.ANSYSWorkbench usage is also added to the pSeven 6.7 examples package.
  • The Predictive Modeling Toolkit now supports exporting approximation models to a special format that provides better compatibility with Excel. It exports model C code ready to be compiled into a DLL that can be imported in Excel without making changes in the code manually.
  • SOLIDWORKS 2016 support added in std.SolidWorks.
  • Decreased memory consumption when loading high-dimensional approximation models in the Predictive Modeling Toolkit and std.ApproxPlayer.
  • Redesigned 2D plots with better rendering and more visualization settings.

This release also updates the std.NX integration block with better handling of errors from Siemens NX, and provides several other improvements in stability and performance.

ANSYS Workbench integration

  • Run ANSYS Workbench simulations from pSeven workflows.
  • Map ANSYS project parameters to ports so they can be analyzed and changed in the workflow.
  • Usage example included in the pSeven examples package.
pSeven 6.7 updated Predictive Modeling Toolkit. Source: DATADVANCE. (Click image to enlarge.)

Updated Modeling Toolkit

  • New special C code format with better Excel compatibility.
  • Excel-compatible C code is ready to be compiled and used as a standalone DLL in VBA functions in spreadsheets.
  • Less memory consumption when loading high-dimensional approximation models.
pSeven 6.7 integration updates. Source: DATADVANCE. (Click image to enlarge.)

Integration updates

  • SOLIDWORKS 2016 support in std.SolidWorks.
  • Better error handling in the Siemens NX integration block, std.NX.
  • Detailed logging in all block that support external error handling, in particular all integration type blocks.

See also DATADVANCE presents pSeven Cloud full-cloud design space exploration platform.

Design space exploration and design optimization at NAFEMS 2016 Americas

2016-americas-slideDesign space exploration and design optimization will be prominent topics at the NAFEMS 2016 Americas Conference June 7-9 in Seattle. These presentation abstracts from the just-published preliminary conference agenda promise a rich and rewarding program for attendees: Continue reading

RBF Morph showcases virtual prototyping and shape optimization at “Engineering Playground”

Flow streamlines in 3D printed model illustrate pressure reduction achieved through mesh morphing and adjoint CFD sensitivity studies. Source: RBF Morph

RBF Morph is participating in an “Engineering Playground” at Spazio Eventi Tirso, Rome, March 21-April 25, hosted by The Art of the Brick, a global touring exhibition of LEGO® sculptures by New York artist Nathan Sawaya. Says RBF Morph owner Marco E. Biancolini, “Together with my colleague Pier Paolo Valentini and with the support of our industrial partners HSL, Pipistrel and CRG, we have prepared six interesting pieces that demonstrate that engineering can be as exciting and fun as playing with LEGO bricks!”

RBF Morph explains that Engineering Playground “aims to present a new and visionary approach toward engineering. It is addressed to young and less young people who dream about how to become an engineer,” and shows how “the modern tools of Industry 4.0, such as virtual prototyping and 3D printing, are now so close to building parts with LEGO bricks [as] to make engineering an exciting and challenging game.” Continue reading

Design space exploration: Adoption drivers, adoption constraints, potential adoption accelerators

These issues will be the topic of my presentation at the NAFEMS 2016 Americas Conference, June 7-9, Seattle.

Ora_DSE_stack_160408Design space exploration today is enjoying ever-increasing levels of recognition, adoption and successful application to help solve some the world’s most difficult engineering problems. Nevertheless, there remain significant impediments to the even broader deployment and usage that champions of these tools and methods believe will be possible, and indeed imperative, to meet the product development challenges of the near future. Continue reading

DATADVANCE Data Analysis & Simulation to Make a Digital Factory conference

Data Analysis & Simulation to Make a Digital Factory conference, June 7, Hôtel Campanile Paris Ouest. Hosted by DATADVANCE, the conference will provide an overview of recent breakthroughs in predictive modeling and simulation in different industries. Attendees will learn about innovative methods in simulation and data analysis, hear keynote speakers from Airbus, AREVA, Covidien and other leading companies, benefit from cross-industry exchange of experiences, and discuss the future of simulation and data-driven design. Register here.

Next generation of PIDO: Noesis Solutions id8 transforms simulation-based engineering into objectives-driven engineering

Noesis Solutions NV, a pioneering developer of software technology for PIDO (process integration and design optimization), is extending its product portfolio with a series of next-generation application suites designed to transform simulation-based engineering into what the company characterizes as objectives-driven engineering. “Starting from product targets that outsmart competition,” Noesis explains, “such a process enables engineering teams to work their way back to the most critical design parameters and to engineer right first time.”

image insight pag 11
The new id8 decide environment offers a powerful and intuitive engineering data analytics solution to complement Optimus, visualizing design space information built up from a wide range of disparate engineering data sources. Image credit: Noesis Solutions. (Click image to enlarge.)

The first of these products, called id8 decide, is a new toolset for visualizing the design space. Far more than just an incremental refinement of existing functionality, this new software multiplies the value of Noesis’ Optimus software by radically strengthening and deepening users’ ability to achieve what Noesis terms “a clear vision of the design space.” On seeing id8 decide live in operation, we were impressed with the clarity and discoverability of functionality offered by its clean, up-to-the-minute graphical user interface, as well as advances at deeper levels of functionality—responses shared by beta users.

The beginning of Noesis’ transformation from a one-product company to a multi-product solution provider, id8 decide will be followed by future id8 application suites that, in similar fashion, will complement Optimus and step up its power through the addition of entirely new capability sets. Continue reading

FINNOPT Optimization Days

Optimization Days workshop, Aug. 29-30, Tampere, Finland. FINNOPT’s second workshop on computational optimization for industry and research institutes will cover numerical optimization, evolutionary algorithm-based optimization, multiple-criteria decision-making, latest trends in design optimization and more. Designed to jump-start attendees’ exposure to optimization, the workshop will include extensive practice sessions on a set of industrially relevant optimization problems using Noesis Solutions’ Optimus and FINNOPT software, plus an optimization clinic offering expert guidance on achieving desired goals. Participants will receive one Optimus with FINNOPT plug-in software trial license for a period of two months. Register here.

Comet Gearbox SimApps webinar

Empowering Gearbox Product Development with Simulation Apps webinar, noon ET, March 22. Attendees learned how Simulation Apps are empowering gearbox product development. Comet Solutions’ Gearbox SimApps portfolio can perform any number of common gearbox studies ranging from basic durability evaluations of gearbox system designs to NVH, efficiency and bearing evaluations. As an example, by loading a specific duty cycle into the Gearbox Durability SimApp, manufacturers can run an automated durability analysis of the entire gearbox system, including the effects of housing, shaft and bearing deflections—all independent of the CAE group. Who this webinar is for: Gearbox designers and manufacturing engineers, durability engineers, engineering managers, manufacturing managers, analysts, sales engineers, CAD designers and those charged with making gearbox engineering and manufacturing more efficient. View a recording of the webinar here.

ESTECO links MDO workflows to PLM backbones

To help engineering organizations link their simulation and optimization data and workflows to their enterprise product information backbone, the latest release of ESTECO’s Enterprise Suite features new plug-in connectors in SOMO 1.6 that provide direct integration with PLM systems. First unveiled in 2013, ESTECO Enterprise Suite combines the capabilities of the modeFRONTIER multidisciplinary design optimization (MDO) platform with SOMO, ESTECO’s distributed execution framework for enterprise-level collaborative design process management.

ESTECO Enterprise Suite. Source: ESTECO

The new SOMO plug-in connectors use the PROSTEP OpenPDM technology to enable design teams focused on simulation and optimization to connect with external PLM and PDM repositories and databases such as Siemens Teamcenter and PTC Windchill. This lets SOMO users easily transfer projects to and from SOMO and PLM repositories, ESTECO says, with consistency of simulation data links ensured throughout the entire information flow, including when working at the desktop level. Continue reading

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