IoT Implementation in PIAGGIO: Enhancing Productivity and Engineering Efficiency
Technology Category
- Cybersecurity & Privacy - Identity & Authentication Management
- Sensors - Level Sensors
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Product Research & Development
Use Cases
- Autonomous Transport Systems
- Transportation Simulation
Services
- Testing & Certification
About The Customer
Founded in 1884, PIAGGIO is a world-leading manufacturer of motorized two-wheeled vehicles and a consolidated leader in the European market. The company operates with several brands, including PIAGGIO, GILERA, VESPA, DERBI, and PUCH, catering to a wide range of mobility demands. Innovation, creativity, and design are the core values that guide PIAGGIO as it faces the challenges of the global market and strives to meet customer expectations.
The Challenge
PIAGGIO, a leading manufacturer of motorized two-wheeled vehicles, was facing a significant challenge in analyzing complex geometry under test conditions. The company lacked information about the critical areas, which made the model require a high level of detail everywhere. The detailed features, such as rounds, could not be neglected. This situation posed a significant challenge as it required a meticulous and time-consuming process to ensure the accuracy and reliability of the test results.
The Solution
To address this challenge, PIAGGIO imported geometry from Pro/E into the ANSYS Workbench. The Workbench detected a few geometric singularities due to CAD modeling errors. However, only a couple of geometry updates provided the fix. The powerful Workbench tet mesher quickly filled the geometry with about a million nodes and 600K elements. The iterative solver found the solution in about 2 hours on a standard Intel workstation. The most stressed region, which was extremely localized, was sub-modeled and nonlinearly analyzed inside ANSYS. This process involved inserting plastic behavior to evaluate the maximum level of plastic deformation.
Operational Impact
Quantitative Benefit
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