Finite Element Analysis of Actively Controlled Heavy Rotor Using PVDF Sensor and Actuator

A simulation dataset from a theoretical study on controlling torsional vibration in turbo-generator rotors using piezoelectric materials. The research was conducted by Tarun Kumar at the Indian Institute of Technology Mandi. Finite element modeling and MATLAB simulations were used to compare controlled and uncontrolled vibration scenarios.

Use Cases

• Training ML models for vibration amplitude prediction based on simulation parameters.
• Benchmarking control algorithms for torsional vibration reduction in heavy rotors.
• Analyzing the relationship between electromagnetic torque variations and rotor shear stress.
• Validating finite element models of coupled turbine-generator systems.

Strengths

• The study uses a detailed dq0 model to evaluate electromagnetic torque during electrical faults.
• The description specifies the use of the Newmark-beta integration method for solving coupled equations.
• The research focuses on a specific, high-impact application: turbo-generator rotor safety.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the paper.
• The dataset is a product of a single theoretical study; its generalizability is unverified.

Provenance

Source

Indian Institute of Technology Mandi

Collection Method

Finite element modeling and MATLAB simulation.