ANSYS Case Studies IoT Implementation in PIAGGIO: Enhancing Productivity and Engineering Efficiency

	IoT Implementation in PIAGGIO: Enhancing Productivity and Engineering Efficiency ANSYS

IoT Implementation in PIAGGIO: Enhancing Productivity and Engineering Efficiency

ANSYS

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	The implementation of the ANSYS Workbench in PIAGGIO's operations led to significant improvements in productivity and efficiency. The solution allowed the company to quickly identify the most stressed region and assess if the test would be passed. This not only saved engineering time but also enhanced the company's ability to handle complex assemblies. The solution's ability to quickly fill the geometry with nodes and elements and find solutions in a short time significantly streamlined the company's operations. Moreover, the ability to sub-model and analyze the most stressed regions nonlinearly inside ANSYS provided valuable insights into the maximum level of plastic deformation, further enhancing the company's testing capabilities.

Impact #1

The implementation of the ANSYS Workbench in PIAGGIO's operations led to significant improvements in productivity and efficiency. The solution allowed the company to quickly identify the most stressed region and assess if the test would be passed. This not only saved engineering time but also enhanced the company's ability to handle complex assemblies. The solution's ability to quickly fill the geometry with nodes and elements and find solutions in a short time significantly streamlined the company's operations. Moreover, the ability to sub-model and analyze the most stressed regions nonlinearly inside ANSYS provided valuable insights into the maximum level of plastic deformation, further enhancing the company's testing capabilities.

Benefit #1	The ANSYS Workbench filled the geometry with about a million nodes and 600K elements in a short time.
Benefit #2	The iterative solver found the solution in about 2 hours on a standard Intel workstation.
Benefit #3	The engineering time was significantly reduced, with only a few days now needed to perform a complete test-bench simulation of very complex assemblies.

Benefit #1

The ANSYS Workbench filled the geometry with about a million nodes and 600K elements in a short time.

Benefit #2

The iterative solver found the solution in about 2 hours on a standard Intel workstation.

Benefit #3

The engineering time was significantly reduced, with only a few days now needed to perform a complete test-bench simulation of very complex assemblies.

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Overview

IoT Implementation in PIAGGIO: Enhancing Productivity and Engineering Efficiency

Operational Impact

Quantitative Benefit