Technology Category
- Analytics & Modeling - Digital Twin / Simulation
- Sensors - Haptic Sensors
Applicable Industries
- Automotive
- Life Sciences
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Manufacturing Process Simulation
- Virtual Prototyping & Product Testing
Services
- Hardware Design & Engineering Services
- Testing & Certification
About The Customer
CIKONI is an innovation-focused engineering company based in Stuttgart, Germany. The company utilizes a unique methodology to develop groundbreaking technologies with composite materials and additive manufacturing. Their goal is to identify new technologies and potential affordances for businesses to advance the design for their current products, software solutions, and manufacturing machines. CIKONI enables clients to deploy these emerging technologies and create next-generation products while being supported from concept to finished products.
The Challenge
CIKONI, an innovation-focused engineering company based in Stuttgart, Germany, was faced with the challenge of creating an integrated digital design workflow for Type IV composite pressure vessels (CPVs). The company aimed to develop a comprehensive digital design process and workflow for CPVs, particularly the state-of-the-art Type IV polymer-lined, carbon fiber overwrapped vessels used in vehicles, and reduce the need for extensive, expensive physical testing. The challenges identified with the design of composite pressure vessels were three-fold: complex material behavior, many constituents, and the need for fast results. For accurate simulation, filament winding paths, material anisotropy and nonlinear damage progression needed full consideration. Additionally, expensive testing for each material and process modification was required. Lastly, simple modeling and efficient computation were needed to reduce simulation cost.
The Solution
CIKONI partnered with the Altair Composites Team and identified the benefits of Altair Multiscale Designer™ to increase simulation efficiency by its virtual material characterization to create accurate and reliable material models for structural simulation. The CPV workflow started with defining possible geometries to fit the on-vehicle design space. A commercial third-party filament winding simulation package provided the basis for the finite element model. Altair Multiscale Designer – a material modeling open framework – was used effectively to replace the usual Material Card and significantly reduce the coupon testing. The vessel modeling approach aimed to accurately predict failure during the winding optimization, using implicit simulation, with reasonable modeling and computation effort. Virtual testing was used to verify the structural model, efficiently re-evaluate different steps in the process, to attain an optimized design.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.