Rimac Automobili’s main challenge has been to design a monocoque as a single carbon fiber part with an unprecedented size. Hence, in the development of the monocoque, the main topic to manage was the material, a lightweight, carbon fiber reinforced with epoxy resin. As this carbon fiber is an orthotropic and brittle material, its representation in a finite element (FE) material card is very difficult. To meet this challenge the company introduced Altair HyperWorks™ into their development process.

Renault Nissan Mitsubishi Alliance is a French-Japanese strategic partnership between the automobile manufacturers Renault (based in France), Nissan (based in Japan) and Mitsubishi Motors (based in Japan). Today, the automotive group has 122 manufacturing plants worldwide with nearly 450,000 employees controlling ten major brands: Renault, Nissan, Mitsubishi, Infiniti, Renault Samsung, Dacia, Alpine, Datsun, Venucia, and Lada. The ambition of the alliance is to offer autonomous drive, connectivity features, and services on a wide range of affordable vehicles. As part of the Renault Chassis Le Mans plant, which is building car-to-ground connecting components for the Renault Group and for the Alliance, the CTC Chassis Technical Center is a CAD engineering center where 350 engineers and technicians are working with a focus on testing and validation. Renault has been using SimSolid to perform simulations to develop lighter chassis faster.

Andras Tanos, R&D Engineer at FemAlk ZRT, talks about how they have used Altair solutions for topology optimization of an engine part.

Two- and three-wheeler vehicle manufacturers, whether they are existing OEMs, new EV start-ups, or suppliers serving this segment, all have the goal of shortening product development time and getting product to market faster. With Altair HyperWorks™, ride, durability, and vehicle dynamics simulations for two- and three-wheeled vehicles can now be seamlessly performed using an intuitive and easy to use GUI with built-in libraries for vehicle models, analyses, and predicting and optimizing vehicle behavior.