Ozen Engineering Acknowledged in Award-Winning Papers at CSEE 2016 Conference

Ozen Engineering is a partner in helping clients successfully solve simulation problems, with on demand tech support only a phone call away.  One of our clients, U.C. Berkeley Professor Abolhassan Astaneh-Asl, and his research team Dr. Maryam Tabbakhha, Xin Qian, and Daniel Christian Setioso, were the recipients of one of the seven “Best Paper Awards” for three papers at the World Congress on Civil, Structural, and Environmental Engineering (CSEE) 2016 Conference in Prague.  This award-winning research team graciously acknowledged Ozen Engineering’s technical support with the following mention:

astaneh-asl

“The authors would like to express their sincere appreciation for the tremendous technical support provided by Dr. Metin Ozen, President, as well as Casey Heydari, and the analysts at the Ozen Engineering Inc. (https://www.ozeninc.com/) on the use of the powerful ANSYS nonlinear structural analysis software packages featured in this project.”

 

Professor Astaneh’s research focuses on design and behavior of steel and composite structures.  To access these outstanding papers, please see below:

Our award-winning team at Ozen Engineering would love to help you solve your simulation challenges. If you are interested in a technology demonstration, please contact our Vice President of Sales Casey Heydari at 408-732-4665 or casey.heydari@ozeninc.com to schedule a demo today.

By Maryam Nemazie


 

Ozen Engineering, Inc. receives two awards from Silicon Valley ASME section

Allyson Clark, ASME Santa Clara Valley Section Chair, presenting the award during the Industry Honors Dinner event on May 5, 2016.

 

 

 


 

How to improve integrated antenna performance early in the design cycle?

mehrnooshAntennas often designed in isolated or ideal conditions. But antenna performance can be very different when mounted on realistic and complex platforms. Antenna radiation distortion, reduced antenna efficiency, antenna to antenna coupling, multipath fading are just some of the issues caused by the presence of a complex platform with multiple antennas.

Using ANSYS HFSS and ANSYS HFSS SBR (Savant) is the solution to a reliable wireless product in realistic environment. HFSS is a FEM tool to design and optimize the antenna and HFSS SBR uses Shooting and Bouncing Ray technique to improve integrated antenna performance on electrically large problems. HFSS SBR takes antenna simulation results from HFSS and provides fast EM analysis of the installed antenna on electrically large platforms.

Simulation with HFSS and HFSS SBR:

  • Design and optimize the antenna in HFSS
  • Predict installed antenna performance in HFSS SBR
The figure shows an example of antenna integration on electrically large platform. The 2.3 GHz UHF blade antenna designed and solved in HFSS and the near-field results are imported to HFSS SBR. Then, the far-filed patterns and near-field distributions are computed on the electrically large platform.

The figure shows an example of antenna integration on electrically large platform. The 2.3 GHz UHF blade antenna designed and solved in HFSS and the near-field results are imported to HFSS SBR. Then, the far-filed patterns and near-field distributions are computed on the electrically large platform.

 

By Mehrnoosh Khabiri

Internet of Things (IoT)

Engineering IoT with ANSYS

MaryamNemaziePicWhat is the Internet of Things (IoT)? Our world is more connected than ever, thanks to the growing web of smart electronics that surround us every day. IoT is about enabling connectivity and embedded intelligence in devices. This connectivity will greatly streamline communications among our electronic devices, improving the way we live, work and play.

For Ozen Engineering, Inc. and ANSYS customers, creating innovative products with technologically demanding qualities is nothing new. The complete simulation and workflow technologies used to develop the ground-breaking products all around us are ready for the next generation of ubiquitous connectivity. Whether for stress, thermal, antenna, and power design applications, our simulation technologies are speeding the development of IoT devices, networking infrastructure, and cloud computing platforms.

Why are simulations so important in an IoT world?

IoT is here and it’s growing fast. Many companies don’t realize the power of conducting simulations, especially in the context of IoT. Generally speaking, ANSYS simulation technology allows innovators to develop higher quality products, reduce the cost of prototyping, and improve time to market. In essence, ANSYS simulation software allows you to predict with confidence that your products will thrive in the real world. In the context of IoT, simulations are now more important than ever because as all of these devices are connected, signal and power integrity become crucial. Innovators have to monitor the electromagnetic compatibility among all of these devices to ensure that the various signals are not interfering with one another.  What’s the point of embedding intelligence in devices if signals interfere, undermining the power of the device? However, electromagnetic interference is not the only issue to watch out for. There are a whole host of considerations, such as thermal and reliability issues, just to name a few! This is where ANSYS simulation software, such as an ANSYS Multiphysics package, unleashes the power to alleviate such concerns and would be just the tool in creating a reliable, high-performance prototype.

Find out how ANSYS simulation solutions can help you engineer high-performance electronic devices and systems for the Internet of Things by watching this brief video. Hungry to learn more? Please visit our ANSYS training schedule for upcoming courses: http://www.ozeninc.com/ansys-training-events/.  If you are interested in a technology demonstration, please contact Casey Heydari at 408-732-4665 or casey.heydari@ozeninc.com to schedule a demo today.

By Maryam Nemazie


 

Force Based Submodeling

CanOzcan_VesikalikEven with today’s increased computing power and optimized software, submodeling is a powerful technique to perform analysis on detailed regions of assemblies. Recent versions of ANSYS Mechanical software have easy to use implementation for submodeling, where one can perform cut boundary interpolations all in Workbench environment, without the need of writing good old APDL code.

Submodeling in ANSYS Mechanical (and APDL) is based on interpolation displacements from global level to submodel level at cut boundaries. This approach comes with the assumption that the stiffness of the submodel region does not differ much in stiffness from the global model. This assumption holds most of the time. However, there are cases where one would like to apply structural loads from global model, rather than the displacements. This is especially a requirement when the stiffness of the model is reduced in the modeled sub region. The technique can be also called “Force Based Submodeling”. Below is a naïve implementation of force based submodeling for solid-to-solid case.

Can Pic 1

Need: We would like to apply the force being carried by supports in a submodel, rather than performing a displacement based submodel. The design of the support is changed such that it will invalidate global displacement results. Therefore we propose a way to extract reaction forces at cut boundaries rather than displacements in classical submodeling sense.

Algorithm:

  1. Perform global analysis with coarse mesh
  2. Generate a submodel(a.k.a. initial submodel) analysis, with exact same geometry of global analysis with coarse mesh. This will allow one to get reaction forces where cut-boundary displacements are applied
  3. Extract reaction forces on cut-boundary faces
    1. Can extract reaction forces on whole surfaces and apply them as remote forces with deformable boundary option
    2. Can extract reaction forces on each node and apply in final submodel by ensuring same mesh on cut-boundaries between initial submodel and final submodel
  4. Generate a submodel (a.k.a. final submodel) with updated support design
  5. Apply reaction forces calculated from initial submodel
  6. Solve for final submodel and post-process

Example Case#1

I have built a simple model to test the above mentioned concept:

Set 1

 

 

 

 

Fig. Boundary conditions (a) Global model (b) Initial submodel

When I compare the stress at fixed support surface I get identical Von Mises stress distribution.

Set 2

 

 

 

 

Fig. Von Mises stress at fixed support surface (a) Global model (b) Initial submodel

An APDL code is developed to extract nodal reaction forces from the initial sub model as follows:

Can Image

The text file generated by APDL code based on “initial submodel”, is then manually copied to solver directory of the “final submodel”. This process can be automized by saving the file to “user files” directory instead.

The content of the reaction force text file is then read into “final submodel” by the following APDL code:

APDL code to read submodel data

Comparing the stresses and displacements there is perfect match between global, initial and final submodel models.

Set 3

 

 

 

Fig. Von Mises Stress (a) Global Model (b) Initial submodel (c) Final submodel

Set 4

 

 

 

Fig. Total displacements (a) Global Model (b) Initial submodel (c) Final submodel

 

By Can Ozcan