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Enhancing Digital Transformation
in Manufacturing SMEs
22nd of May
Brussels
2015
1
Fortissimo Experiment 402
Isabella Mazza
Ergolines Lab s.r.l.
Cloud-based simulation of continuous casting
2
INDEX
1. WHAT WE ACHIEVED
2. HOW WE DID IT
3. HOW I4MS HELPED
4. HOW WE WILL TAKE IT FORWARD
3
ERGOLINES PRESENTATION
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 4
Ergolines is based in Trieste, Italy
Technologies for
Steel Continuous Casting:
• ELECTROMAGNETIC STIRRERS
• SENSORS
• INSTRUMENTATION
44 Countries
WHAT WE ACHIEVED
1. THE CHALLENGE
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 5
INDUSTRIAL PROBLEM:
SLAG TRANSFER
 LOWERS STEEL QUALITY
 BREAKOUT AFFECTS:
 SAFETY
 PRODUCTIVITY
Continous Casting
LADLE
TUNDISH
CASTING
STRAND
WHAT WE ACHIEVED
1. THE CHALLENGE
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 6
INDUSTRIAL PROBLEM:
SLAG TRANSFER
 LOWERS STEEL QUALITY
 BREAKOUT AFFECTS:
 SAFETY
 PRODUCTIVITY
Continous Casting
OUR SOLUTION:
DESIGN OF
SLAG DETECTION SYSTEM
LADLE
TUNDISH
CASTING
STRAND
WHAT WE ACHIEVED
2. WHY HPC?
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 7
SLAG TRANSFERSTEEL POURING INTERRUPTED
BEFORE COMPLETE EMPTYING
STEEL WASTED = 1 TON/LADLE
COSTLY REMELTING NEEDED
DEMAND FOR SLAG
DETECTION SYSTEM
NEW BUSINESS OPPORTUNITY
WHAT WE ACHIEVED
2. WHY HPC?
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 8
SLAG TRANSFERSTEEL POURING INTERRUPTED
BEFORE COMPLETE EMPTYING
STEEL WASTED = 1 TON/LADLE
COSTLY REMELTING NEEDED
EXTREME CONDITIONS
LIQUID STEEL @ 1500 °C
FIELD EXPERIMENTS
NOT FEASIBLE
DESIGN REQUIRES
CFD SIMULATIONS
HUGE COMPUTATIONAL LOAD HPC
DEMAND FOR SLAG
DETECTION SYSTEM
NEW BUSINESS OPPORTUNITY
WHAT WE ACHIEVED
3. FORTISSIMO EXPERIMENT 402:
“CLOUD-BASED SIMULATION OF CONTINUOUS CASTING”
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 9
• End User
 Ergolines Lab s.r.l. (Italy)
• HPC Resource
 Arctur d.o.o. (Slovenia)
• Objective
 Exploit HPC to solve an industrial challenge :
Prevent slag transfer
• Activities
 HPC based CFD simulation of slag transfer
 Experimental model validation
HOW WE DID IT
4. Rationale
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 10
• Objectives
• Correlate vibrational signal with fluid dynamics
• Numerical Model
• Emptying mechanisms
• Experiments
• Single Phase Model (STEEL only)
• Double Phase Model (SLAG + STEEL)
• Performance Criterion
• Experimental validation of numerical models
 Vortex
 Drain Sink
 Dedicated Laboratory System
6. Software used & Simulations
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 11
HOW WE DID IT
• Simulation time = 322 s = 5 minutes
• Computation time = 183.5 days = more than 6 months
Successful experimental validationSoftware: OpenFOAM 2.2.0
HOW I4MS HELPED
11. I4MS-enabled Achievements
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 12
• to achieve accurate results
 Transient simulations
 very fine geometrical discretization
 small time steps
ELEVATE COMPUTAIONAL TIME:
6 months to simulate 5 minutes
• High quality results:
successful experimental validation
MODEL RELIABILITY
• Complex phenomena, huge computational load CRUCIAL ROLE OF
CLOUD HPC
13. Economic Impact
I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 13
Exploitable output: know-how for new product Slag Detection System
Target Market Segments: Steel Continuous Casting
Benefits for Ergolines: reduced time-to-market, new business opportunity, internationalization
Benefits for End-users = Mini Mills:
• Increased Steel Yield: save up to 60% of 1 t wasted steel /ladle= 0.6% of production
• +0.6% Increased Productivity: save 6000 tonnes of steel /year/ 1 Mt produced
• Reduced Remelting costs: 100 €/t X 6000 t/year = 600.000 €/year saved
• Reduced Energy costs of remelting: 500 kWh/t X 6000 t/year = 3 GWh/year saved
HOW WE WILL TAKE IT FORWARD
High Quality
High Velocity
THANK YOU
FOR YOUR ATTENTION
14

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Isabella Mazza (Ergolines - IT)

  • 1. Enhancing Digital Transformation in Manufacturing SMEs 22nd of May Brussels 2015 1
  • 2. Fortissimo Experiment 402 Isabella Mazza Ergolines Lab s.r.l. Cloud-based simulation of continuous casting 2
  • 3. INDEX 1. WHAT WE ACHIEVED 2. HOW WE DID IT 3. HOW I4MS HELPED 4. HOW WE WILL TAKE IT FORWARD 3
  • 4. ERGOLINES PRESENTATION I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 4 Ergolines is based in Trieste, Italy Technologies for Steel Continuous Casting: • ELECTROMAGNETIC STIRRERS • SENSORS • INSTRUMENTATION 44 Countries
  • 5. WHAT WE ACHIEVED 1. THE CHALLENGE I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 5 INDUSTRIAL PROBLEM: SLAG TRANSFER  LOWERS STEEL QUALITY  BREAKOUT AFFECTS:  SAFETY  PRODUCTIVITY Continous Casting LADLE TUNDISH CASTING STRAND
  • 6. WHAT WE ACHIEVED 1. THE CHALLENGE I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 6 INDUSTRIAL PROBLEM: SLAG TRANSFER  LOWERS STEEL QUALITY  BREAKOUT AFFECTS:  SAFETY  PRODUCTIVITY Continous Casting OUR SOLUTION: DESIGN OF SLAG DETECTION SYSTEM LADLE TUNDISH CASTING STRAND
  • 7. WHAT WE ACHIEVED 2. WHY HPC? I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 7 SLAG TRANSFERSTEEL POURING INTERRUPTED BEFORE COMPLETE EMPTYING STEEL WASTED = 1 TON/LADLE COSTLY REMELTING NEEDED DEMAND FOR SLAG DETECTION SYSTEM NEW BUSINESS OPPORTUNITY
  • 8. WHAT WE ACHIEVED 2. WHY HPC? I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 8 SLAG TRANSFERSTEEL POURING INTERRUPTED BEFORE COMPLETE EMPTYING STEEL WASTED = 1 TON/LADLE COSTLY REMELTING NEEDED EXTREME CONDITIONS LIQUID STEEL @ 1500 °C FIELD EXPERIMENTS NOT FEASIBLE DESIGN REQUIRES CFD SIMULATIONS HUGE COMPUTATIONAL LOAD HPC DEMAND FOR SLAG DETECTION SYSTEM NEW BUSINESS OPPORTUNITY
  • 9. WHAT WE ACHIEVED 3. FORTISSIMO EXPERIMENT 402: “CLOUD-BASED SIMULATION OF CONTINUOUS CASTING” I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 9 • End User  Ergolines Lab s.r.l. (Italy) • HPC Resource  Arctur d.o.o. (Slovenia) • Objective  Exploit HPC to solve an industrial challenge : Prevent slag transfer • Activities  HPC based CFD simulation of slag transfer  Experimental model validation
  • 10. HOW WE DID IT 4. Rationale I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 10 • Objectives • Correlate vibrational signal with fluid dynamics • Numerical Model • Emptying mechanisms • Experiments • Single Phase Model (STEEL only) • Double Phase Model (SLAG + STEEL) • Performance Criterion • Experimental validation of numerical models  Vortex  Drain Sink  Dedicated Laboratory System
  • 11. 6. Software used & Simulations I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 11 HOW WE DID IT • Simulation time = 322 s = 5 minutes • Computation time = 183.5 days = more than 6 months Successful experimental validationSoftware: OpenFOAM 2.2.0
  • 12. HOW I4MS HELPED 11. I4MS-enabled Achievements I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 12 • to achieve accurate results  Transient simulations  very fine geometrical discretization  small time steps ELEVATE COMPUTAIONAL TIME: 6 months to simulate 5 minutes • High quality results: successful experimental validation MODEL RELIABILITY • Complex phenomena, huge computational load CRUCIAL ROLE OF CLOUD HPC
  • 13. 13. Economic Impact I4MS 2015: Enhancing Digital Transformation in Manufacturing SMEs · 22nd of May · Brussels 13 Exploitable output: know-how for new product Slag Detection System Target Market Segments: Steel Continuous Casting Benefits for Ergolines: reduced time-to-market, new business opportunity, internationalization Benefits for End-users = Mini Mills: • Increased Steel Yield: save up to 60% of 1 t wasted steel /ladle= 0.6% of production • +0.6% Increased Productivity: save 6000 tonnes of steel /year/ 1 Mt produced • Reduced Remelting costs: 100 €/t X 6000 t/year = 600.000 €/year saved • Reduced Energy costs of remelting: 500 kWh/t X 6000 t/year = 3 GWh/year saved HOW WE WILL TAKE IT FORWARD High Quality High Velocity
  • 14. THANK YOU FOR YOUR ATTENTION 14

Notes de l'éditeur

  1. Please, include in this slide information about actual improvements, ideally with something visual to show + economic impact
  2. Please, include in this slide information about actual improvements, ideally with something visual to show + economic impact
  3. Please, include in this slide information about actual improvements, ideally with something visual to show + economic impact
  4. Please, include in this slide information about actual improvements, ideally with something visual to show + economic impact
  5. Please, include in this slide information about actual improvements, ideally with something visual to show + economic impact
  6. Please, include in this slide information about actual improvements, ideally with something visual to show + economic impact
  7. Please, include in this slide information about business case, rationale.
  8. Please, include in this slide information about actual improvements, ideally with something visual to show + economic impact