Center for Predictive Engineering Analytics

Digital Technologies – AI & Vision-Based

Digital Technologies – AI & Vision-Based Projects

Client: Heavy Engineering

Problem Statement / Project Scope:

  • Objective: Improve stability between the engine and chassis to enhance structural integrity and vibration control.
  • Challenge: Stress concentrations and vibration transmission can compromise durability under dynamic loads and mounting misalignments.
  • Approach: Simulated engine-chassis coupling using Siemens Simcenter 3D FEA and MBD to capture deformation, stress hotspots, and vibrational response.
  • Outcome: Achieved optimized mount positioning, reduced critical stress zones, and ensured structural stability under operational and peak loads.

Solution Highlights:

  • FEA-Based Structural Integrity: Conducted stress-strain evaluations across chassis mount zones.
  • Multibody Dynamics (MBD): Simulated engine inertia interaction with chassis system.
  • Load Case Variability: Simulated different loading scenarios—start-up torque, road shocks, misalignments.
  • Design Optimization: Implemented iterations with material adjustments to improve damping.

Value Addition:

  • 40% reduction in transmitted vibration to chassis structure
  • 28% improvement in component fatigue life under dynamic load
  • Enhanced operational stability and safety under peak loading conditions
  • A virtual testbed for future stability design evaluations

Client: Aerospace Industry

Problem Statement / Project Scope:

  • Objective: Validate structural integrity of turbine-bearing support under dynamic excitation.
  • Challenge: Assess random vibration response due to rotor imbalance.
  • Approach: Simulate worst-case spectral excitations to capture resonance behavior.
  • Outcome: Identify potential resonance-induced failure zones, enhance reliability.

Solution Highlights:

  • Modal Analysis to extract natural frequencies.
  • Damping Characterization based on turbine test data.
  • Random Vibration (PSD): Broadband PSD with radial excitation.
  • Results Extraction: RMS/peak stresses, displacements & acceleration fields.

Value Addition:

  • Early detection of resonance-prone regions
  • 25–30% reduction in prototyping costs & 20% faster design cycle
  • Supports predictive maintenance planning

Client: Motorcycle OEM

Problem Statement / Project Scope:

  • Objective: Validate structural durability under broadband dynamic loads from high-speed rides on irregular roads.
  • Challenge: Fatigue & failure risks from non-deterministic excitations.
  • Approach: Random vibration loads assessed with real-world conditions.
  • Outcome: Identify fatigue-sensitive regions early to ensure reliability.

Solution Highlights:

  • Modal Analysis: Natural frequencies clear of road excitation to avoid resonance.
  • Stress & Fatigue Evaluation: RMS stress & strain energy density to find fatigue-prone zones.
  • Deformation & Load Checks: Displacement & reaction forces verified.
  • Simulation Setup: TET10 mesh, refined critical zones, orthotropic Al properties, PSD inputs per ISO 2631 standards.

Value Addition:

  • Identify fatigue-prone regions & optimize alloy wheel durability
  • 35% reduction in physical test efforts & 20% faster validation
  • Digital Twin integration enables predictive design-phase analysis

Client: Truck Manufacturing OEM

Problem Statement / Project Scope:

  • Objective: Improve crane dynamics in truck body assembly for safety & reliability.
  • Challenge: Crane instability, load imbalance, CG misalignment.
  • Approach: Evaluate CG shifts, optimize lifting speeds, predict instability scenarios.
  • Outcome: Enable safe, efficient crane operations, minimize downtime risks.

Solution Highlights:

  • Advanced Multi-Body Dynamics simulation, tracking CG displacement.
  • Variable rigging & lift angles to understand CG drift & instability.
  • Crane Speed Optimization for safe operating zones.

Value Addition:

  • Early detection of fatigue risks & CG instability
  • Customized crane speed profiles minimize overstress & maintenance
  • Replaced physical tests with simulations, cutting prototype validation costs by ~30%

Client: Toy Manufacturing Industry

Problem Statement / Project Scope:

  • Objective: Simulate dynamic behavior & structural performance of foldable scooter under varied load & terrain conditions.
  • Challenge: Evaluate performance & safety across loading scenarios.
  • Approach: Analyze flexible body stress-strain response & terrain-induced vibrations.
  • Outcome: Identify potential failure zones, optimize design parameters before prototypes.

Solution Highlights:

  • Multi-Load Simulation: Assessed scooter dynamics under different loads.
  • Flexible Body Analysis: Modeled the frame as flexible body for stress, strain, deformation.
  • Terrain Interaction: Simulated urban road-induced vibrations for ride quality.
  • Topology Optimization: Weight-saving geometry refinements while maintaining integrity.

Value Addition:

  • Enabled early insights, saving material & validation costs
  • 18% weight reduction
  • Reduction in prototype iterations
  • Digital twin model for future upgrades
  • Enhanced ride safety & comfort through vibration tuning

Client: Crane Manufacturer

Problem Statement / Project Scope:

  • Objective: Simulate tower crane operations to minimize container oscillation during lifting & horizontal transport.
  • Challenge: Container sway affecting efficiency & safety.
  • Approach: Analyze CG movement, dynamic behavior across operations.
  • Outcome: Identify control strategies to suppress oscillations.

Solution Highlights:

  • Kinematic Modeling: Full crane system simulation
  • Container Dynamics: CG displacement, swing angles, inertia-tension interaction
  • Operational Studies: Evaluate lifts & translations to identify resonance risks
  • Control Insights: Recommend damping, acceleration ramps & motion planning

Value Addition:

  • Improved safety through sway analysis
  • Reduction in load swing amplitude by over 40%
  • Support control system development & virtual tests
  • Digital twin for future monitoring

Client: Forklift Manufacturer

Problem Statement / Project Scope:

  • Objective: Simulate forklift dynamics during lifting & maneuvering to assess stress & displacement behavior.
  • Challenge: Abrupt starts, turns, load shifts affecting stress-sensitive regions.
  • Approach: Simcenter to replicate real-world dynamics, quantify displacements.
  • Outcome: Improve structural integrity, safety, and efficiency.

Solution Highlights:

  • Displacement Analysis: Track mast, forks, chassis & counterweight displacements
  • Dynamic Load Scenarios: Static lifts, loaded turns, emergency braking
  • Stress Detection: Identify high-displacement, wear-prone components

Value Addition:

  • Identify load-shift-induced displacement paths
  • Enable adaptive load handling designs for forklifts

Client: Heavy Engineering

Problem Statement / Project Scope:

  • Objective: Validate behavior of an overhead crane system for precision lifting.
  • Challenge: Limitations of calculations & empirical methods causing vibrations.
  • Approach: Dynamic load transfer, control system, structural response.
  • Outcome: Optimized performance, suppressed vibrations & predictive maintenance.

Solution Highlights:

  • Load Path Estimation
  • Fatigue Analysis
  • Control System Integration
  • Vibration Minimization

Value Addition:

  • 40% reduction in load sway, 30% decrease in design iterations & enhanced reliability
  • Virtual commissioning platform predicts performance accurately
  • Digital Twin enables maintenance planning & safety

Research & Projects

Digital Technologies – AI & Vision-Based Digital Technologies – AI & Vision-Based
Center for Predictive Engineering Analytics Center for Predictive Engineering Analytics
Smart Factory Research Center Smart Factory Research Center
AR / VR Research Center AR / VR Research Center
Asset Performance Management Asset Performance Management