TABLE OF CONTENTS
- Vehicle Thermal Management
- Liquid Film Management (and technology reuse)
- PPE Impact Testing
- Smart Monitoring
- CAE Tools Review
https://www.linkedin.com/feed/update/urn:li:activity:7187185694786609152/
Brings back memories of when I was involved in underhood and underbody thermal analysis of vehicles albeit using STAR-CD at adapco more than three decades ago! And then later on at the Advanced Engineering Center’s Thermal and Aerodynamics Systems Engineering department of Ford Motor Company where we also used Fluent and Exa PowerFLOW. There were other specialized softwares that we used like UH3D and RadTherm.
Simulation using Computer Aided Engineering (CAE) softwares for finite element analysis (fea), computational fluid dynamics (cfd) and for multi-physics analysis has come a long way since its beginnings in the early 1960s. These analyses are memory intensive and depend on correct modeling and specifications of initial and boundary conditions.
Companies such as Fastway Engineering provide a great basis to do such virtual testings without the need for building physical models. This helps in modifying and iterating on a multitude of what-if scenarios before arriving at the final solution(s).
Our basis for process engineering at Numorpho Cybernetic Systems (NUMO) is based on such exacting solutions to virtualize what we term as our Digital Twine World Model (DTWM) that coordinates modeling, simulation, analysis and testing of products in real world scenarios prior to building a physical prototype.
We will be utilizing NVIDIA‘s Omniverse 3D framework along with its Connect, Compute, Infer and Render components to utilize CAD, CAE and other engineering toolsets to provide the basis for our genai based Mantra M5 platform to enable the functions of make, manage, move, market and maintain and coordinate the end-to-end lifecycle of the product and solution.
NB:
STAR-CD/CCM is now part of Siemens Simcenter
Fluent is part of Ansys
PowerFLOW is part of Dassault Systèmes
LIQUID FILM MANAGEMENT
Post by Jim Shaw from Fastway Engineering in LinkedIn:
https://www.linkedin.com/feed/update/urn:li:activity:7205176939748188160/
A few decades ago (circa 1994), we had created the algorithm to analyze the physics of the formation of thin liquid films to ascertain the effectiveness of combustion in the engine cylinder. Because the walls are at a lower temperature, a film gets created that then drips down and either dissipates as droplets or forms a sludge at the bottom of the cylinder. This was published and presented at the SAE in Detroit.
sae_paper_liquidfilms.pdf (wordpress.com)
Here is a summary of the whitepaper by a LLM (Pi.ai)
The whitepaper you provided discusses the formation of thin liquid films and droplets during the combustion process. Here’s a brief summary:
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- Thin liquid films form around elongated bubbles or a vapor core during the combustion process.
- These films can be stationary at low vapor velocities but can flow and become unstable at high vapor velocities.
- When the films become unstable, they can rupture or atomize, leading to the formation of droplets.
- The size and distribution of these droplets can affect the combustion process and the formation of pollutants.
- Understanding the dynamics of thin liquid films and droplets during combustion is important for improving combustion efficiency and reducing emissions.
Overall, the whitepaper highlights the importance of understanding the formation and behavior of thin liquid films and droplets during the combustion process, as this can have a significant impact on the efficiency and emissions of combustion systems.
Subsequently this same physics was used to manage rainwater flow on windshields of cars to enable the modification of the curvature of the windshield and rain water’s pre-management by introducing camber and channels on the roof of the car.
This was one of the first cases in my career where a technology developed for a specific use case (incomplete combustion in this case) was repurposed for a totally different problem (managing the effective drainage of rain on windshields).
Albeit we had built the droplet-thin liquid film interaction in STAR-CD (now part of Siemens Simcenter), Fastway Engineering (also part of the mHUB ecosystem) is using Fluent from Ansys to do similar liquid film analysis to showcase coverage of films.
https://www.linkedin.com/feed/update/urn:li:activity:7184188679186202624/
Here is a precursor for us at Numorpho Cybernetic Systems (NUMO) for doing impact simulations on PPE devices – our smart helmets.
Based on the type of helmet use case: industrial worker, construction, mining, O&G, first responder/firefighter, military, recreation, urban commuter or wellbeing, there are different compliances and regulations that need to be adhered to that are also be country/region specific.
Testing ensures that the helmet meets safety standards and provides adequate protection to the user in case of accidents or impacts. Helmet testing typically involves subjecting the helmet to a series of impact tests, which simulate different types of crashes or accidents. These tests help to evaluate the helmet’s ability to absorb and distribute impact forces, as well as its ability to stay in place during an accident.
Stay tuned to how we will be conducting such tests both via simulation as well as physical to enable the certification of our smart helmets.
Here is the full whitepaper: Folding Helmet – Product Testing – EVERYTHING CONNECTED – Numorpho’s Book of Business
cae testing compliance regulations
At Numorpho Cybernetic Systems (NUMO), smart monitoring entails building a data engineering fabric to facilitate CONNECT-DETECT-PROTECT by embedding sensors in mobile and static devices/locations and creating structurally sound Personal Protection Equipment (PPE) and e-mobility solutions to enable safety and optimize operations real time.
But before placing sensors in real time operations, we needed to simulate such world scenarios to ensure the proper placement or sensors and appropriate retrieval of data. At Fastway Engineering, using Ansys software, they enable such Computer Aided Engineering (CAE) solutioning to support developing, testing, and validating safe autonomous technologies. This simulation solution saves significant time and costs compared to traditional development and testing methods.
In article https://www.linkedin.com/feed/update/urn:li:activity:7182723924961484800/, Fastway showcases the simulation of adding ultrasonic sensors the enable configuration during Automonous driving. Here is the dialog from the comments:
Me: But, just as everything was going great with autopilot and auto parking, Tesla Motors turned off the ultra sonic sensors and now it just relies on its vision cameras for parking. Is there a way in Ansys to couple multi-modal data streams (ultrasonic, vision, radar, lidar,…) to analyze to enable smart monitoring and its outcome. Can this be incorporated real time? One of the issues Tesla had was the different latencies in the multi-modal streams and having to compute the response by aggregating them.
Fastway: Great Question, Nitin Uchil! Are you familiar with Ansys AVxcelerate? It is specifically for autonomous vehicle development, and includes numerous REST API’s, which also connect to our Optics (Speos & Zemax) and Radar (HFSS) codes, along with our ML/AI DOE wrapper (Optislang) to verify model robustness. More info on the Ansys Developer site here: https://developer.ansys.com/docs/avxcelerate
Albeit pertinent to Autonomous Vehicles (av), the theme corresponds to safety in all mobile situations.
Our genai based platform for process engineering, the Mantra M5 steps thru all aspects of the product lifecycle from upstream (product development), midstream (manufacturing) and downstream (aftermarket for real time use cases) by connecting systems such as Ansys software and others to holistically make, manage, move, market and maintain the smart products and solutions we are building.
Our approach to digital twinning is to follow the progression of the product/solution by simulating, emulating, interacting, calibrating and enabling its correct operations every step of its lifecycle. For this we utilize our Digital Twine World Model (DTWM) reference architecture to connect the dots between people, processes and platforms to enable end-to-end and appropriate aggregation of the digital threads that constitute the solution.
Both Numorpho and Fastway along with our other ecosystem partners are embedded at mHUB the premier hard tech innovation center located in the Chicagoland area where we ideate, iterate and collaborate on advanced, safe, sustainable and resilient solutions for humanity’s future.
| CAE Tool | Type | Description | Provider |
|---|---|---|---|
| Ansys | FEA | Ansys | |
| Fluent | CFD | Ansys | |
| PowerFLOW | CFD | ||
| STAR-CD/CCM | CFD/Multi Physics | Siemens | |
| UH3D | CFD | ||
NITIN UCHIL Founder, CEO & Technical Evangelist
nitin.uchil@numorpho.com