Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Innovating New Products using
Multiphysics Modeling
Dr. Rajveer S Shekhawat
New Products Development (NPD)
Secure Meters L...
22
Content
What is innovation and why it is needed?
What are different ways to innovate new product/designs
Design space c...
33
Challenge to New Product Designer
Modern products need to meet very demanding
requirements
– Lowest cost
– Best feature...
44
What is innovation?
Is the sweeping change in the product feature(s), cost,
life, size etc.
So It is not incremental im...
55
Nature of innovation
© Secure Meters Ltd
Incremental Change (improvement)
– Simplification of processes
– Increase rang...
66
Why innovation is needed?
Innovative products in terms of cost, performance and
feature set are essential to maintain p...
77
Different ways to innovate
Develop product from the idea:
– costly affair if it does not lead to the conceived performa...
88
Why modeling/ simulation?
Time to market
First time right
Lower cost of iterations
Faster turn-around times
Larger desi...
99
Higher rate of obsolescence
Fast pace of technological advancements
Knowledge is public on the internet
First time righ...
1010
Requirements Capture
– Abstractions of requirements
– Executable Specifications
– Rapid Prototypes
Design and Impleme...
1111
Design Space Exploration
Constraints
– time,
– effort,
– cost,
– complexity,
– working environment- exact or approxim...
1212
Products are Multi-disciplinary
Products normally involve multiple physical domains
So experimenting or understanding...
1313
Modeling/Simulation
Single physical domain
Multidomain (multiphysics) modeling tools (ANSYS,
COMSOL, COSMOS, Altair e...
1414
Using COMSOL Multiphysics
Solving complex models is limited by machine capacity
Machine capacity –
– Number of CPUs (...
1515
Practices followed
For complex problems not amenable to Multiphysics
modeling due to various limitations
– Analytical...
1616
Case Studies
Acoustics: signal generation, coupling to the
structure, acoustic impedance, propagation in
media, modal...
1717
Acoustics
Validation of model in air
Propagation different media
Propagation in different structures
© Secure Meters ...
1818
Acoustic Signal Propagation in air
Experimental Signal Plot
Simulation Signal Plot
1919
Acoustic Signal Propagation in Air and
Methane)
Particulars Comparison parameter
Rise time (#Cycles ) Fall time (#Cyc...
2020
Acoustic Signal through tube geometry
Experimental Signal
Simulation Signal
Plastic Tube
2121
Flow Modeling
Profiling around obstructions
– Dead zones
Pressure drop
Nature of flow along critical paths:
– fully d...
2222
Entry/Exit profile
© Secure Meters Ltd
2323
Different fillets
© Secure Meters Ltd
Velocity Profile Comparison at the inlet
2424
Pressure drop
© Secure Meters Ltd
2525
Nature of Flow-1
© Secure Meters Ltd
2626
Nature of Flow-2
© Secure Meters Ltd
2727
Transducers
Design Requirements
– Signal coupling
– Beam optimization
– impedance matching (medium)
– Bandwidth (puls...
2828
Transducer models
© Secure Meters Ltd
S.
No.
Material
Description
Relative
Damping Factor
ξ
Corresponding Stiffness
D...
2929
Transient Behavior
© Secure Meters Ltd
3030
Thanks
Phone:
– +91-294-2499208
Emails:
– rajveer.shekhawat@securetogether.com
Website:
– www.securemeters.com
© Secu...
Upcoming SlideShare
Loading in …5
×

of

Innovating new products using multiphysics modeling comsol2012-bangalore Slide 1 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 2 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 3 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 4 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 5 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 6 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 7 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 8 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 9 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 10 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 11 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 12 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 13 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 14 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 15 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 16 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 17 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 18 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 19 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 20 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 21 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 22 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 23 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 24 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 25 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 26 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 27 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 28 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 29 Innovating new products using multiphysics modeling comsol2012-bangalore Slide 30
Upcoming SlideShare
Smart Gas Meters Technology & Challenges-CGD2014
Next
Download to read offline and view in fullscreen.

1 Like

Share

Download to read offline

Innovating new products using multiphysics modeling comsol2012-bangalore

Download to read offline

A widely recognized reality in industries around the world is that of being consistently innovative. Without it the survival is too difficult and can be only short lived. And so only the engineers working on new products in industrial research labs have been striving to enhance the product value for customer by innovating. However, it has been very difficult task till now as the ways of validating new products have been lengthy and costly. One has mainly resorted to crude or scaled down prototypes or at most modeling or simulation of limited functionality of the product being worked upon. The validation of the prototypes has been very difficult and not very reliable as these did not represent full functionality of the product. Further to iterate over various design choices (design space), one has to depend on large number of prototype variants derived using Design of Experiments theory.

The tools like COMSOl and ANSYS have been around for long but been restricted mostly to the researchers investigating various phenomenon. These days however, they have been able to handle multiple domains simultaneously through coupling mechanisms. With ever increasing capability of such tools, we are thus witnessing application of these to real-life products and systems which had been too complex so far for such task. This is more so as the real-life products do not spawn over to single phenomenon or physics but comprise of multiple phenomena over multiple domains. Hence these tools are coming to the aid of the practicing engineers to evolve new products or innovative products.

In this presentation, a few examples of products which involve expertise and understanding of multiple physics phenomena and their interactions for their further evolution and enhancement are discussed. How the use of COMSOL Multiphysics has been helpful in solving complex design aspects saving extensive time and effort would also be delved into in some detail.

Related Books

Free with a 30 day trial from Scribd

See all

Related Audiobooks

Free with a 30 day trial from Scribd

See all

Innovating new products using multiphysics modeling comsol2012-bangalore

  1. 1. Innovating New Products using Multiphysics Modeling Dr. Rajveer S Shekhawat New Products Development (NPD) Secure Meters Ltd, Udaipur
  2. 2. 22 Content What is innovation and why it is needed? What are different ways to innovate new product/designs Design space constraints: time, effort, cost, complexity, feasibility Approaches in vogue Multi-disciplinary Products Modeling/Simulation types and tools COMSOL Multiphysics – using more efficiently Case Studies: © Secure Meters Ltd
  3. 3. 33 Challenge to New Product Designer Modern products need to meet very demanding requirements – Lowest cost – Best features – Smallest size – Longest life – Simpler to manufacture – Faster to manufacture – Require minimum new parts (Re-use) – First time right etc. So has to resort to methods that help in innovation © Secure Meters Ltd
  4. 4. 44 What is innovation? Is the sweeping change in the product feature(s), cost, life, size etc. So It is not incremental improvements. In organizations, the products and processes are gradually refined. So improvements are continuous and do not lead to step change characteristic of innovation. Innovation is a result of out-of-box thinking. And break- through thoughts are difficult to come by and are thus rare. In industrial R&D, 10% efforts only result in innovative products and the 90% failures contribute to the proportion. copyright (c) Secure Meters Ltd
  5. 5. 55 Nature of innovation © Secure Meters Ltd Incremental Change (improvement) – Simplification of processes – Increase range of values of some features in a product – Remove bugs in products – Lasting for short term Radical Change (breakthrough improvement) – More long term and strategic in focus – Change capabilities of the firm – Supports to jump start – Distinguishes from competition
  6. 6. 66 Why innovation is needed? Innovative products in terms of cost, performance and feature set are essential to maintain presence in market or thus remain in business (profits? Not always). Launch of new products to avoid obsolescence or to increase customer base permits the company to diversify and ensure long time presence in markets with its share of profits. © Secure Meters Ltd
  7. 7. 77 Different ways to innovate Develop product from the idea: – costly affair if it does not lead to the conceived performance – Risks are too high as the assumptions may not stand valid – Management may not support such approach Build prototypes: – difficult to make a replica so use scaled down model – Proto may not exhibit all the product behaviour – May not afford costs involved for small numbers – Technology may not be available for the concept to realize in short time – Costs involved may not be feasible So use simulation models: © Secure Meters Ltd
  8. 8. 88 Why modeling/ simulation? Time to market First time right Lower cost of iterations Faster turn-around times Larger design space exploration Faster analysis of results (automated) more assumptions can be relaxed Advances in computing allow model of real-life (complex) products © Secure Meters Ltd
  9. 9. 99 Higher rate of obsolescence Fast pace of technological advancements Knowledge is public on the internet First time right designs – reduce validation Requirements capture Design and implementation Time to Market
  10. 10. 1010 Requirements Capture – Abstractions of requirements – Executable Specifications – Rapid Prototypes Design and Implementation – Feature Set – Design space exploration – Automated synthesis (Hardware/Firmware) Validation – Testing – Coverage First Time Right Approach
  11. 11. 1111 Design Space Exploration Constraints – time, – effort, – cost, – complexity, – working environment- exact or approximate (some prototypes not feasible or possible) Methods – Theoretical Analysis (Exact Formulation and solution) – Prototyping (actual or scaled)- Design of Experiments – modeling/simulation- limited representation still © Secure Meters Ltd
  12. 12. 1212 Products are Multi-disciplinary Products normally involve multiple physical domains So experimenting or understanding behavior in single physical domain is incomplete Multiple physical domains have to be modeled simultaneously allowing interaction across interfaces The coupled models are thus essential which allow integrated behavioral model © Secure Meters Ltd
  13. 13. 1313 Modeling/Simulation Single physical domain Multidomain (multiphysics) modeling tools (ANSYS, COMSOL, COSMOS, Altair etc) – iterative is time consuming: propose new approach for linear domain – Non linear design space: Neural Learning, Genetic Algorithms Hybrid Approaches are more efficient – COMSOL is leader in it: LiveLinks with Matlab, SolidWorks, ProEngineer, Comparison of modeling approaches © Secure Meters Ltd
  14. 14. 1414 Using COMSOL Multiphysics Solving complex models is limited by machine capacity Machine capacity – – Number of CPUs (cores) and clock speeds – memory: amount of memory Likely Alternatives: coarse/fine model Select suitable solver Partition the problem (advanced capability?) – Spatial partition and join (grid computing also can be thought) – Temporal partition – log intermediate results – Hybrid (Spatio-temporal) © Secure Meters Ltd
  15. 15. 1515 Practices followed For complex problems not amenable to Multiphysics modeling due to various limitations – Analytical results of part of the model – Simulation results on part of the model – Experimental results – Extend/project analytical and experimental results to compare with experimental results Desirable capabilities – Design parameter sweep – Optimization of objective function © Secure Meters Ltd
  16. 16. 1616 Case Studies Acoustics: signal generation, coupling to the structure, acoustic impedance, propagation in media, modal investigations Flow: profiling studies obstructions, flanges, fillets, flow domains: laminar, transient or turbulent Transducers: modeling, coupling to waveguides, transmission and reception characteristics, fan beam angle © Secure Meters Ltd
  17. 17. 1717 Acoustics Validation of model in air Propagation different media Propagation in different structures © Secure Meters Ltd
  18. 18. 1818 Acoustic Signal Propagation in air Experimental Signal Plot Simulation Signal Plot
  19. 19. 1919 Acoustic Signal Propagation in Air and Methane) Particulars Comparison parameter Rise time (#Cycles ) Fall time (#Cycles ) Simulation 9-10 7-8 Experimental 9-10 7-8 S. No. Medium Simulation (Relative Attenuation in dB) Experimental (Relative Attenuation in dB) 1 Air 900 2.8 2 Methane 500 (-5.1 dB) 1.5 (-5.42 dB) Signal Shape Study Signal Attenuation in Methane
  20. 20. 2020 Acoustic Signal through tube geometry Experimental Signal Simulation Signal Plastic Tube
  21. 21. 2121 Flow Modeling Profiling around obstructions – Dead zones Pressure drop Nature of flow along critical paths: – fully developed (laminar) – Transient – turbulent © Secure Meters Ltd
  22. 22. 2222 Entry/Exit profile © Secure Meters Ltd
  23. 23. 2323 Different fillets © Secure Meters Ltd Velocity Profile Comparison at the inlet
  24. 24. 2424 Pressure drop © Secure Meters Ltd
  25. 25. 2525 Nature of Flow-1 © Secure Meters Ltd
  26. 26. 2626 Nature of Flow-2 © Secure Meters Ltd
  27. 27. 2727 Transducers Design Requirements – Signal coupling – Beam optimization – impedance matching (medium) – Bandwidth (pulse or frequency method) Types explored – Piezo Polymeric: Flexural modes – Piezo Discs with interface layer – Piezo discs closed form © Secure Meters Ltd
  28. 28. 2828 Transducer models © Secure Meters Ltd S. No. Material Description Relative Damping Factor ξ Corresponding Stiffness Damping Parameter (βdk) 1 Aluminum Casing 0.0004 3.18309 e-9 2 Foam Backing 0.1 7.95775 e-7 3 Silicon Filling 0.05 3.97887 e-7
  29. 29. 2929 Transient Behavior © Secure Meters Ltd
  30. 30. 3030 Thanks Phone: – +91-294-2499208 Emails: – rajveer.shekhawat@securetogether.com Website: – www.securemeters.com © Secure Meters Ltd
  • tiwarimangalam

    Aug. 11, 2020

A widely recognized reality in industries around the world is that of being consistently innovative. Without it the survival is too difficult and can be only short lived. And so only the engineers working on new products in industrial research labs have been striving to enhance the product value for customer by innovating. However, it has been very difficult task till now as the ways of validating new products have been lengthy and costly. One has mainly resorted to crude or scaled down prototypes or at most modeling or simulation of limited functionality of the product being worked upon. The validation of the prototypes has been very difficult and not very reliable as these did not represent full functionality of the product. Further to iterate over various design choices (design space), one has to depend on large number of prototype variants derived using Design of Experiments theory. The tools like COMSOl and ANSYS have been around for long but been restricted mostly to the researchers investigating various phenomenon. These days however, they have been able to handle multiple domains simultaneously through coupling mechanisms. With ever increasing capability of such tools, we are thus witnessing application of these to real-life products and systems which had been too complex so far for such task. This is more so as the real-life products do not spawn over to single phenomenon or physics but comprise of multiple phenomena over multiple domains. Hence these tools are coming to the aid of the practicing engineers to evolve new products or innovative products. In this presentation, a few examples of products which involve expertise and understanding of multiple physics phenomena and their interactions for their further evolution and enhancement are discussed. How the use of COMSOL Multiphysics has been helpful in solving complex design aspects saving extensive time and effort would also be delved into in some detail.

Views

Total views

383

On Slideshare

0

From embeds

0

Number of embeds

8

Actions

Downloads

17

Shares

0

Comments

0

Likes

1

×