The Working Wonders blog

NWC23 | NAFEMS World Congress 2023

When: 15 - 18 May 2023 | Where: Tampa Convention Center - 333 S. Franklin Street, Tampa, Florida, USA

We are exhibiting at the NAFEMS World Congress 2023, along with Maplesoft, at in Tampa, Florida, from 15 to 18 May. It is an in-person event where we are going to have an opportunity to meet in person.

Disruptive Engineering Techniques in Aerospace

Modern aerospace engineering processes are becoming increasingly complex and interconnected, while still being expected to meet stringent performance, reliability, and safety requirements. The complexity of an aircraft and the tight safety regulations required make it a very expensive and long process. However, there is also a continuous need to reduce design lead time and cost, and accelerated deadlines. Simulation is essential for unlocking innovation in this space.

Enable innovation from the early stages of the design process

Optimization using a 1-D Simulation tool

Author: Ceyhun Sahin, Application Engineer, Noesis Solutions

Multidisciplinary Optimization of an Engine Cover

Multi-objectives optimization automatically performs innumerable simulations, tests multiple variables predetermined design space to learn about the relationship between final part quality and the material, mold process, and molding machine, saving time and resources.

Putting your 360-degree engineering camera to work

Probably you’re using best-in-class software to support your engineering processes, but once too often you’re facing problems meeting key requirements within deadlines and budget constraints? You may ask yourself what’s actually missing to realize greater engineering achievements. Is it the ability to have all engineering tools work together toward the final development objectives, across multiple engineering disciplines? Or is it something different altogether?

Getting ahead of the game

Whatever game you’re trying to win, one thing is key: you need to make the right decisions at the right time to take the lead and stay ahead of your competitors. It’s pretty much the same for any engineering team working on a new product design. Typically, they’re all confronted with what is usually referred to as ‘a multiobjective optimization problem’. Such optimization challenge requires them to balance many (conflicting) design objectives, of which the ‘maximum performance against minimum cost’ equation is probably the most well known.

Second stage in Spa-Francorchamps

Earlier this month, the CQS Group Racing Team KU Leuven successfully participated in the international 24-hours endurance race in Spa-Francorchamps. With their newly developed tuned Citroen 2CV, the student racing team took the second stage in the Experimental Class. In preparation for this edition, Noesis Solutions assisted the team in further enhancing racecar aerodynamics

Constraints shouldn’t be the bottlenecks

Your team may be creative, inventive and resourceful, but developing new products without rigorously considering design constraints all the way through is asking for trouble! That being said, you shouldn’t necessarily look at constraints as a burden but rather consider their full potential. When well-managed throughout the entire engineering process, constraints may indeed offer opportunities to develop products that exceed customer expectations.

Noesis Solutions in full swing during Leuven.Inc Entrepreneurs Café

COO Naji El Masri took the stand to introduce Noesis Solutions to more than 40 Leuven.Inc members last week in Leuven, Belgium. Leuven.Inc builds bridges between knowledge centers, high-tech entrepreneurs, enterprises and their socio-economic partners. The participants gathered at the Noesis Solutions headquarters to learn about the flagship Optimus software and the entrepreneurship that helps grow the company. Parallel demonstration sessions showed how Optimus translates virtual simulations into successful achievements for aeronautic, automotive and medical applications.

Balancing on a tightrope

I didn’t witness Nik Wallenda successfully complete his high-wire walks above the city of Chicago back in November 2014. Wallenda already became a tightrope legend , after having crossed both the Grand Canyon and the Niagara Falls on tightropes earlier on. But achieving two crossings between skyscrapers on either side of the Chicago River without any safety net or harness was a special feat. He even completed one crossing blindfolded 152 meter above the ground in winds that were gusting at up to 40km/h.

Exploiting engineering data to build decision metrics (2/2)

In our previous blog post, we’ve discussed Cluster Analysis in detail. Cluster Analysis (or clustering) is a so-called unsupervised machine learning approach available to Optimus users to help them structure their engineering data sets. In this post, we’re digging deeper into another unsupervised machine learning technique available in Optimus, the Self-Organizing Maps (SOM).

Exploiting engineering data to build decision metrics

Engineers regularly get buried under massive amounts of data generated through simulation and physical testing. As a result they spend a lot of time and effort to access and identify the data that matter most – assuming they have sufficient time to exploit all the data and turn these into decision metrics.

Mastering 2CV Racecar Aerodynamics

Optimus will help the members of the CQS Group Racing Team to improve 2CV design by enhancing race car aerodynamics. What makes this team unique is their focus on bringing topics like ecology to the forefront of the official racing competition - and Optimus will allow them to take innovation one step further ahead.

A manufacturer’s perspective on critical PIDO advancements

Meeting up with leading manufacturers at last year’s Optimus World Conference provided great opportunity to learn about their latest process integration and design optimization (PIDO) achievements. They clearly expressed that more Optimus PIDO technology advancements will play a critical role in meeting the development challenges they see ahead of them.

To learn or not to learn – That’s the question

Adaptive DOE introduces active design space learning in upcoming Optimus 10.16 release

Design optimization inspired by nature

Optimus features a new Particle Swarm Optimization algorithm, implementing a swarm intelligence approach into an industry-proof method. It can consistently be used to solve both single-objective and multi-objective optimization challenges.