the next generation of engineering analysis: simulation ... · – virtual systems can be used as...


Company Structure

PartnersConsulting Innovation&Technology

Konzept-X/Y

Managing DirectorDr. Alfred J. Svobodnik

25 Staff Members


Introduction

• FEA is „de-facto“ standard in all industries for virtual product development

• After 60 years of FEA efficient application has still much room for improvement

• Software development is still primarily feature and function driven


Introduction

• Strategic aspects are still not of majotinterest– Methodology development– Integration of simulations into development

and innovation processes

• Main cause for lack of efficiency is conflict between– Software training– Application of software for specific tasks


Introduction

• Goal of every simulation must be to support the product development process at its best

• Next Generation Software

– Optimization of application an interaction of software tool to optimal support product development


Simulation Software versus Simulation Process Modelling

• Next Software Generation

– Does not replace traditional engineering analysis software

– Is complementary to existing software– Is a logical, also revolutional, next step



• The last 25 years of FEA– Feature based “rich” or “high-fidelity” single

physics software development– Basic research on coupled physics– Industrial applications for single discipline /

physics– First multiphysics applications– System level simulation (with multidisciplinary

approach)– Simulation driven engineering



• Simulation process modeling is a key technology to enable Simulation Driven Engineering on a broad basis

• Engineering Analysis software– Modeling of functional performance of products

• Bottom-up approach

• Simulation process modeling – Looks at its highest level at major phases of the

product development process• Top-down approach



• Major phases of the product development process– Strategy Development

• Research and defining the opportunity

– Ideation• Generating the next breakthrough product

– Concept and Feasibility• Developing a winning product value proposition

– Build & Pilot• Prototype your product, marketing and customer experience

– Rollout• Accelerate your marketing and advertising for growth



• For each phase optimal methods and processes are being developed

• The following modeling dimensions are being varied– Dimension “detail”– Dimension “linearity”– Dimension “scale”

• From system level to component



• Dimension “detail”– From lumped parameter LPM (sub-)models to

3D fully detailed FEA models. E.g. for a multiphysical application:



• Dimension “linearity”– From linear to fully nonlinear models



• Key elements

– Evolution from simple concept models to highly complex and detailed models close to SOP

– “Growing” simulation models


Benefits of Simulation Process Modelling

• Disadvantage– Simulation process model must have a

minimum detail and completeness level• Needs critical mass of potential applications

• Benefits are significant and manifold– typically short-term noticeable



• Similar benefits as with the first time introduction of CAE– Virtual systems can be used as test beds for

innovations– More freedom in design decisions– Design changes can be evaluated without

building physical prototypes• Advantages are not only limited to

component level– Impact also on system level



• The intensification of the following business benefits can be observed

– Speed up development process– Reduce development costs– Minimize prototype expenses– Improve product quality



• Perfect match with a recent NAFEMS study (“The NAFEMS Simulation Capability Survey 2015”)– “respondents were asked to give a reason

why the simulation capability had a positive impact”



– “the reasons why capabilities had the least impact”

• Lack of skills/experience is still a major blocking factor for applying new simulation capabilities


Example of an Industrial Application

• Implementation of a simulation process model for the development of automotive audio systems

– M-voiD® : Multidisciplinary virtually optimized industrial Design

– Advanced CAE methods and other virtual procedures for all disciplines involved in the product development process


Example of an Industrial Application

• Simulation process model M-voiD®

the next generation of engineering analysis: simulation ... · – virtual systems can be used as...

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