Move from wind tunnel testing to simulation-driven design offers typical automakers more than 500% ROI

Moving from wind tunnel testing of physical prototypes to simulation-driven design processes can offer typical automotive OEMs more than 500% ROI (return on investment), according to research from Tufts University’s Gordon Institute for engineering management. Continue reading

brucejenkins_blog_2016-sept-no2_image1
Flow field around Tesla Model S simulated with Exa software identifies areas of higher drag in red. Source: Tesla and Exa Corp.

ESI Pro-SiVIC 2016 models how sensors perceive scenes and smart products make decisions

New tools for development of Advanced Driver Assistance Systems (ADAS) and autonomous (self-driving) vehicles are highlights of Pro-SiVIC 2016, ESI Group’s latest release of the sensor simulation platform it acquired last year along with the software’s developer, CIVITEC.

BruceJenkins_blog_2016-Sept-no1_image1
Realistic 3D scene of vehicles driving around a city: ESI Pro-SiVIC lets engineers model how sensors perceive scenes and how smart products make decisions. Source: ESI Group

Targeted primarily at transportation industries, ESI Pro-SiVIC lets engineering organizations virtually test the operational performance of the various perception systems on board a ground vehicle or aircraft design. By helping engineers build realistic, real-life 3D scenarios and experience them interactively in real time, Pro-SiVIC is intended to reduce or eliminate the need for physical prototypes. The software models environmental factors that influence sensor performance such as lighting conditions, weather, and other vehicles sharing the road. The goal is to let users quickly and precisely study the performance of embedded systems in both typical and critical use cases, to ensure the product will be safe and reliable in operation. Continue reading

ANSYS, GE partner to bring simulation to the Industrial IoT

A top CAE vendor has partnered with a world industrial giant to help engineering and manufacturing organizations capitalize on the Industrial Internet of Things.

BruceJenkins_blog_2016-August-no2_image1
Source: GE

Part of the recent agreement between ANSYS and General Electric expands GE’s use of ANSYS engineering simulation solutions to accommodate GE’s 2015 acquisition of Alstom’s Power and Grid businesses. But of broader import is what the deal will do to extend simulation beyond product development into operations—a key aspect of Predix, the new “Industrial Internet platform” from GE. Predix is an operating system and platform for building applications that connect to industrial assets, collect and analyze data, and deliver real-time insights for optimizing industrial infrastructure and operations. Continue reading

BruceJenkins_blog_2016-August-no2_image2
Source: GE

Using Industrial IoT data to drive optimization

“The age of ‘Big Data’ is here: data of unprecedented size is becoming ubiquitous, which brings new challenges and new opportunities,” observed Peter Richtárik of the University of Edinburgh’s School of Mathematics and Zheng Qu of the University of Hong Kong. “With this comes the need to solve optimization problems of unprecedented sizes.”

The two Big Data experts, organizers of an “Optimization and Big Data 2015” workshop, continued by writing: “Machine learning, compressed sensing, social network science and computational biology are some of many prominent application domains where it is increasingly common to formulate and solve optimization problems with billions of variables.”

In the engineering of discretely manufactured products, few topics today are more ubiquitous than how to prepare for the age of the Industrial Internet of Things (IIoT) and Industry 4.0. The largest effects of these developments, most centrally the resulting tsunami of data about product performance in service, have yet to hit. But when they do, the impact—and opportunity—for both users and developers of design space exploration and design optimization technologies could be transformative. Continue reading

Jenkins_Optimization_Column_2016-Q3_image1
Response surface model of a product’s design space computed from results of a DOE study. Source: Dr. Peter Hallschmid, School of Engineering, UBC Okanagan

FeatureScript amps up power of Onshape

BruceJenkins_blog_August-2016_image1
FeatureScript Curve Pattern. Source: Onshape

Full-cloud CAD pioneer Onshape amped up the power and utility of its software with FeatureScript, a new programming language that lets users create new parametric features that look, feel and behave just like Onshape’s built-in features.

This is the same language used by Onshape itself to develop all of its software’s current features—Extrude, Fillet, Shell, Loft and the like. Now available as an open language, FeatureScript lets users create their own built-in parametric features in Onshape.

Under the open-source MIT License, Onshape is also sharing the FeatureScript source code for all of its own features, allowing customers to copy, modify or adapt them as they see fit. New features can be created, and existing features edited, in Onshape’s new Feature Studio, a user-friendly development environment with an editor, in-line help and documentation. Continue reading

Noesis Solutions High-Performance Computing for Surf Bums webinar

Noesis Solutions High-Performance Computing for Surf Bums webinar, August 31, 4:00 am, 9:00 am & 2:00 pm ET. Webinar attendees will learn how to: (1) create an easy-to-use custom application within a familiar tool like Microsoft Excel that makes the magical world of simulation easily accessible to non-specialists for the design of surf boards. Through this application, they will have access to a full range of advanced modeling and simulation tools (Sculptor, OpenFOAM, ParaView & Optimus) and will be able to run them within the scope that the specialist defines within his custom application; (2) hide all the engineering complexity from the target user, but provide him with a full range of reporting tools within Microsoft Excel such that it becomes clear at first glance how the surf board design can be improved and optimized; (3) speed up simulation throughput by connecting the application to the full power of the Microsoft Azure Cloud Computing Platform—all of this completely transparent to the user. Register here.

Technology business strategy for 21st-century engineering practice