Digital-Twin Machinery for Certification of Anti-Impact Protections According to UNI CT 042

Client

Client: Leading Italian company specializing in the design and manufacturing of industrial anti-impact protections.

Industrial protection systems

Excel, MotionSolve

202X

Objectives:

Initial Situation: Need to perform repeatable impact tests while reducing the risk of failure. It is crucial to identify the initial conditions to achieve an impact with the correct energy content.

Performed Analyses: Creation of a 1D model of the machinery and correlation with experimental impacts.

Goal: Develop a system for predicting the machine’s behavior over time.

Results:

Identified Cause: The dynamics of the machinery are strongly influenced by:

Center of gravity position and relative starting height

Energy dissipation due to friction

Wear of components

Proposed Solution: Development of a digital model of the system that autonomously learns the operating parameters and their evolution over time from the real machinery.

Achieved Results: Development of a tool for setting the test parameters.

Digital-Twin Machinery for Certification of Anti-Impact Protections According to UNI CT 042

Client

Client: Leading Italian company specializing in the design and manufacturing of industrial anti-impact protections.

Industrial protection systems

Excel, MotionSolve

202X

Objectives:

Initial Situation: Need to perform repeatable impact tests while reducing the risk of failure. It is crucial to identify the initial conditions to achieve an impact with the correct energy content.

Performed Analyses: Creation of a 1D model of the machinery and correlation with experimental impacts.

Goal: Develop a system for predicting the machine’s behavior over time.

Results:

Identified Cause: The dynamics of the machinery are strongly influenced by:

Center of gravity position and relative starting height

Energy dissipation due to friction

Wear of components

Proposed Solution: Development of a digital model of the system that autonomously learns the operating parameters and their evolution over time from the real machinery.

Achieved Results: Development of a tool for setting the test parameters.