Posts Tagged ‘optimization’
|Fatma Koçer-Poyraz - Director of Business Development|
When we think of optimization, we naturally think of finding the design with minimum cost, maximum performance, etc. However, we can use optimization methods for objectives other than minimizing or maximizing. One of these use cases is to meet a set of target values; so we need neither to minimize a response nor maximize it. We instead need to make sure that it achieves the target value.
A typical application comprises model calibration problems, such as simulation material model calibration to match to test data. We can formulate these cases as minimizing the difference between sets of data leading us down the path to use optimization methods for efficient and effective solution- finding. How we calculate the difference may depend on the application, but a very common calculation that works well for most problems is to minimize the sum of normalized-difference-squared. Another common calculation may involve calculating the area between two curves.
The first aspect of solving such problems easily is the method selection. The second aspect is the ease of setup, and the third aspect is the post-processing. In HyperStudy, we have an objective function formulation called System Identification. System identification allows users to set target values to a number of responses and automatically creates the difference equation and uses it as the objective function. In the pos- processing site, HyperStudy lists the values of all objectives, the delta between them, and the targets and the normalized deltas. We will now go through an application that uses system identification for material model calibration. (more…)
What’s better than an intuitive technology that allows you to explore non-intuitive-optimal solutions?
|Luca Frattari Business Development Manager – Architecture, Engineering & Construction|
“What’s better than an intuitive technology that allows you to explore non-intuitive-optimal solutions?”
A common way to design a rational structure is to create a system composed of 2D elements, such as beams and pillars. In a paradoxical way, an optimal solution is represented by an organic-like structure in which the material is arranged to guarantee strength and lightness.
In this article I will talk about INNOVATION, SIMULATION, OPTIMIZATION applied to the Architecture, Engineering and Construction (AEC) market. Moreover, we’ll examine how such concepts have taken on a fundamental role in the design of a bridge by means of Topology Optimization and why they may be very much relevant beyond AEC to architects and engineers in different market sectors.
This challenge generated a stimulating curiosity within me, beginning a profound reflection on the meaning of those concepts. At first glance, they might seem easy, even trivial to describe.
Quickly I’ve realized that by modern definition they assume deeper meaning because of their reciprocal influence.
INNOVATION, SIMULATION, OPTIMIZATION
In my opinion, if INNOVATION can be defined as the combination of exploration, inspiration, evolution and technology oriented to improve the quality of life, than one could say that INNOVATION is an evolutionary process to create and refine products and processes in any field of application.
Today’s new standards for construction have becoming increasingly more demanding. Architects are experimenting with new materials developed by engineers to improve the thermal efficiency of new buildings, while the engineers are continuously experimenting with ways to build the complex shapes created by the talent and creativity of the architects.
What could be the next evolutionary step in this process?
Overcoming the Challenges of Composite Design through Simulation
Composite materials have been used in the aerospace industry for many years due to their lightweight and high performance characteristics, but the issue of product weight is not limited to aircraft. Automotive manufacturers are increasingly viewing the material as a method of minimizing mass and maximizing fuel economy.
UK based automotive design company, Gordon Murray Design (GMD) believes that composite materials can play a much larger role in the manufacture of vehicles and to prove its case, the company has developed ‘iStream’, an efficient process for manufacturing low and high volume cars from lightweight mixed materials.
Tags: aerospace, automotive, computational fluid dynamics, crash, defense, design, finite element, HyperCrash, HyperMesh, HyperView, multi-body, optimization, OptiStruct, RADIOSS, structural, topology, vehicle
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This is an introductory course for using OptiStruct for optimization in the product design process. Students will learn optimization concepts and do hands-on exercises for topology, topography, size, and shape optimizations. This two day, hands-on course features:
- Topology, topography, size and shape optimization concepts
- Linear static and normal mode analysis with OptiStruct prior to optimization
- Pre- and post- processing for OptiStruct using HyperMesh and HyperView
- Topology optimization with manufacturing constraints
- Combined topology and topography optimization
- Shape generation using HyperMorph which is a part of HyperMesh
- 2D and 3D shape optimization
- 1D and 2D size optimization
Anthony Norton- Executive Director – Global Automotive
Closure efforts are often one of our first impressions of a vehicle, but that is just the start of the complex and seemingly conflicting requirements for a vehicle system that has steadily increased in content while continuing to drop weight. A range of technologies are frequently employed to address the challenge, including linear, non-linear implicit and explicit FEA, multi-body dynamics (MBD) and mechatronics, computational fluid dynamics and optimization.
Global platforms now dominate the underpinnings of new nameplates, the Chrysler/Fiat C-Evo, Ford C1 MCA and GM Gamma to name a few (more…)
Tags: Altair, Automotive closures, Automotive design, body closure design, CAE Automation, closures, high performance computing, HyperWorks, innovation, optimization, Simulation Optimization, study
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Wagon Automotive, a system and module supplier of components to major car builders, sought ways to accelerate product development and reduce prototyping costs while maintaining high quality. Adopting the HyperWorks suite of advanced CAE tools enabled the company to achieve both those goals. Wagon Automotive now uses HyperWorks during the entire development cycle, from concept design to optimization.
► Read the full Wagon Automotive Case Study
► Learn about Altair HyperMesh
► Learn about Altair HyperView
► Learn about Altair OptiStruct
► Learn about Altair HyperStudy
► Learn about Altair HyperForm
Bob Yancey- Executive Director – Global Aerospace
Composites offer a number of compelling advantages, but they also present some daunting design challenges. For example, the orthotropic nature of continuous-fiber-reinforced composites presents the designer with many more design variables to consider, such as ply angles, fiber volume fractions and stacking sequences. Finding an optimal design with so many design variables can be quite challenging. In addition, there is little design experience with composite structures, so often designers develop “quasi-isotropic” designs that look similar to their metal part-designs. (more…)