MSC.Software Simulation Solutions...

Daniele Catelani, Luca Sironi - MSC Software

June 8, 2012

MSC.Software Simulation Solutions

OverviewHelping Manufacturers Worldwide to Improve Product

Development

MSC Software Confidential 6/13/20121

1999Addition of

Nonlinear

Simulation

1963MacNeal-

Schwendler

Corporation

founded

1965MSC & NASA:

Nastran is born

1973MSC goes

Global

2009STG Acquires

MSC

2002Addition of

Multibody

Simulation

2010Multidiscipline

Innovation in

MSC Nastran

Solver

1994Addition of

Pre/Post

Processing

1969First MSC

Nastran

Installation

2011Addition of

CFD and

Acoustics

49 years in Simulation for Engineering

MSC Software Confidential

MSC Software: A Global Team

Corporate talent assets

1200 people WW

Corporate Headquarters

Pune

Munich Tokyo Beijing Paris

Ann Arbor

6/13/2012 3


MSC Software: The Italian Team

• Italy talent assets

• 40 people + external

consultants / partners

• Offices Location

• Roma

• Torino

• Udine

• Genova


MSC.Software Customers

Trusted by over 10,000 Manufacturers

Worldwide

http://www.alenia.it/en/Default.asp

http://www.mbda-systems.com/mbda/site/FO/


MSC Simulation PortfolioBuild, Manage, Solve

66/13/2012

Broadest Range of CAE

Solutions for Engineers

Simulate range of structural and

multiphysics problems

Create, build and simulate

mechanical systems and controls

performance

Model and simulate acoustics

and CFD problems to optimize

designs

Study durability and design

life predictions to improve quality

Manage simulation process and

track pedigree of all data


Structures

& Multiphysics


MSC Software Simulation SolutionsStructural and Multiphysics Simulations

Simulate Advanced Linear,

Nonlinear, and Multiphysics

• Linear statics and dynamics

• Frequency domain analyses

• Nonlinear analysis capabilities through supported Marc solver

• Thermal

• Composites

• Optimization

• Superelement and parallelization

• Standard, scalable solution with widely recognized input file format

• Benefits

• Fewer physical prototypes

• Optimized Designs

• Faster results with better reliability


MSC NastranIntegrated CAE Solver

9

Linear statics•Connectors

•Contact

•Assemblies

Linear Dynamics•Eigen value•Real and complex

•Frequency response

Acoustics•Interior

•Exterior

•Structural-acoustic coupling

Optimization•Shape

•Size

•Topology

•Topometry

•Topography

•NonlinearNonlinear

Structures•Materials

•Large strain/deformation

•Contact

•Failure

•Composites

•Rotor dynamics

Thermal•Conduction

•Convection

•Radiation

•Advection

Coupling•Thermal-structural

•Structural-acoustic

•Fluid-structural

Nonlinear Dynamics•Explicit

•Nonlinear materials

•Contact

•Large deformation

Chaining•Thermal-structural

•Perturbation

•Implicit-explicit-implicit

•Explicit-explicit

High Performance•Shared memory parallel

•Distributed memory

parallel

•Massively parallel

•Iterative solvers


• Laminate effective material properties

are tailored to meet performance

requirements through the use of

lamination theory integrated in the

MSC.Software products.

• Used to accurately predict laminate

properties. These analysis methods

address:

• Stress-strain relationship for

membrane and bending response

• Thermal and moisture effects

• Inelastic behavior

• Strength and failure

• Interlaminar stresses

6/13/2012 10

= 0º, t=0.0125

= 45º, t=0.01

= 90º, t=0.01

= -45º, t=0.01

=0º, t=0.01

= -45º, t=0.0125

= 90º, t=0.0125

= 45º, t=0.0125

Classical Lamination Theory (CLT)


• Evaluate the load redistribution in a composite structure as the

plies fail progressively

11

CZM

Delamination

PFA

• Simulate delamination growth from initial flaw

• Study crack propagation to design for fail-safe

structures

VCCT

Going Beyond First-Ply-Failure


Structural Analysis and Optimization

Topology Optimization

12

After Smoothing

Optimization Progression

Design Regions


Structural Analysis and Optimization

Topography Optimization

• Optimization provides

alternatives to

conventional designs– Elegance

– Manufacturability• 5.4% Reduction in weight

• Critical mode still satisfied

13

Conventional Design Topography Design


Machine tool - Application Example

• Gear cutting machine

* Courtesy of the Institute for Machine Tools and Industrial Management (iwb), TU

München and LIEBHERR-Verzahntechnik GmbH, Kempten


The typical approach contains the following steps:

1. Perform the “model health-check”.

2. Consideration of tolerances and uncertainties in the FE-Model.

Launch of a stochastic simulation.

3. When working with systems of which only little information on

the behaviour is known one should start with a “Design Scan”.

4. Specification of the target parameters (mass, Eigenfrequency,

etc.) and boundary conditions based on the results. Perform a

“Stochastic Design Improvement”.

5. Second stochastic simulation based on improved version in

order to study the behaviour taking into account uncertainties.



• Wall thickness can vary from nominal value by 50% in both

directions

• As an output variable the eigenfrequency and the flexibility at

the tool has been specified





Frequenz

Nach

gie

big

keit

• Already one design scan results in an improved variant!!

Frequency

Co

mp

lia

nc

e

basic

opt

Application Example




Nonlinear, Thermal, and Multiphysics Analysis

• General large sliding contact– Deformable and rigid bodies

– Line contact

– 2D and 3D contact

• Nonlinear materials– Nonlinear material behavior of metals,

composites, plastics, elastomers

• Multiphysics– Coupled electrical-thermal-structural

– Joule heating

– Electromagnetics, electrostatics, magnetostatics

Benefits

• Easy nonlinear model setup

• Solves complex problems involving contact and nonlinear material effects

• Reduce time and cost of physical test

Industries

• Biomedical

• Wind Energy

• Oil & Gas

• Automotive

• Heavy Equipment

• Aerospace

Worm Gear

Contact Analysis


Business: Mechanical junctions

Challenge: Simulate the clamping process of a stratified pipe in order to eliminate expensive experimental tests

Solution: MSC.MARC to simulate complete clamping process

MSC.CaseStudy: ITR - Parker

http://www.parker.com/indexv4.asp


Systems

& Controls


MSC Software Simulation SolutionsFunctional Virtual Prototype Simulations

216/13/2012

Accurately simulate product

performance and optimize virtual

prototypes

Perform design of experiments to

examine more design variations

Predict performance of systems &

mechanisms with integrated

controls

Study the dynamics of moving

parts, how loads and forces are

distributed throughout mechanical

systems, and improve & optimize

product performance

Build Functional Virtual

Prototypes with Adams


MSC Software Simulation Solutions Powerful Schematic-based Modeling Simulations

• Broad & Powerful Analysis Capabilities:

– Steady-state tool

– System stability via linear analyses tools

– Control system analyses

– DOE

– And More!

• CAE Tool Integration:

– Multibody dynamics via Adams

– DOE, optimization via Adams/Insight

– Flexible bodies via Nastran

– 3rd Party codes

226/13/2012

Quickly create high-fidelity system models with pre-built,

ready-to-use blocks in several Application Libraries


Case Study MG2

Analisi di Fattibilità:

Eseguita a partire da un modello 3D importato e simulato in ADAMS

Si è verificato la:

la funzionalità dinamica richiesta

che le corse e l’ingombro di primo tentativo del gruppo fossero idonei.

che la proposta fosse consistente.

Nel modello animato non è contemplato il cambio scatola.

Prima ipotesi:

alimentazione a tre (3) cassetti.


Progetto Esecutivo:

Modello e ottimizzazione

Sincronizzazione dei movimenti dei vari

gruppi

Ottimizzazione dei tempi di attesa

Riduzione del tempo di ciclo complessivo

Ottimale dimensionamento dei motori

Diagramma di fase di tutti i movimenti

Tabella riepilogativa dati di formato

Case Study MG2


Multidiscipline

Simulation


Multidiscipline Parts & SystemsControls-MBD-FE Integration

MBS + Fatigue

MBS + CFD + Fatigue

MBS + CFD + Fatigue + EE + Controls


Bolt Pre-Loading

Thermal-Structural

Coupling

Multiphysics – Fluid, Thermal, Structural, EM, EE

OpenFSI

Engine Bolts

Magnetostatic-

Structural

Fluid-Structure


Thermal/NL Mech.

-Packaging

Fluid Dynamics

-Filling

-Empting

Multi Discipline ValueBottle Engineering Process

NL Mechanical

Manufacturing

-Blow moulding

NL Mechanical

Handling

-Top Load

-Side Load

-Drop test

-Static Crush

CrashComplex Dynamics

-Wrapping

IP

Common Framework

Common Data Model

OP


• Purpose

– Evaluate the feasibility of the bottle

– Derive the thickness distribution of the formed bottle

Multi Discipline Value

Bottle Engineering Process Blow Moulding


Multi Discipline ValueBottle Engineering Process – Side and Top Load

• Purpose

– Evaluate the Instability under the side and top external pressure

– Thickness distribution of the Blow Molding simulation is used


Multi Discipline ValueBottle Engineering Process – Wrapping and Packaging

• Purpose

– Evaluate the feasibility of the wrapping

– Stress on film


Multi Discipline ValueBottle Engineering Process – Drop testing / Interaction with fluid

• Purpose

– Evaluate the Instability under the external load including fluid properties


NL Mechanical

-Rubber

-Contact

Fatigue

-Components

Durability

Kinematics

-Workcycle

-CAM

Sysnthesis

Dynamics

-Components

Stress

-Controls

system

Thermal/NL Mech

-Temperature

-Heat Flux

-Stress

IP

Common Framework

Common Data Model

OP

Dynamics Loads

Multi Discipline ValuePackaging Machine Design


• Purpose

– Define cam profile on follower final motion

– Verify dynamics effects considering backlash and flexibility


Packaging Machine Design – Cams definition


• Purpose

– Verify system motion to avoid possible components interference

– Analyze full load histories


Packaging Machine Design – Workcycle simulation


NL Mechanical

-Rubber

-Contact

Thermal/NL Mech

-Temperature

-Heat Flux

-Stress

Common Data Model

Multi Discipline ValueDomestic Appliance Design Process 1

-Drop test

-Package

optimization

Crash

Fatigue

-Components

Durability

Linear Mechanical

-Static

Strenght

-Modal

Response

Dynamics

-Components

Stress

-Controls

system

Dynamics Loads

IP

Common Framework

Common Data Model

OP


NL Mechanical

-Junctions

-Bolts

Thermal/NL Mech

-Welding

Common Data Model

Multi Discipline ValueDomestic Appliance Design Process 2

-Shape

-Size

-Stamp

Optimization

Fluid dynamics

-Sloshing

Advanced Dynamics

-External

Acoustics

-NVH

-Rotordynamics

-Stability

IP

Common Framework

Common Data Model

OP

Advanced Dynamics


• Purpose

– Evaluate and reduce drum’s vibrations

– Measure stress on components with dynamics effect by integration with finite elements technology

– Test the controls system with a mechatronic model

Multi Discipline Value - Appliance Design Process

Full System Dynamics Simulation


• Purpose

– Evaluate the effect of a critical impacts on product integrity and functionality

– Design and optimize package to reduce damages

Multi Discipline Value - Appliance Design Process

Drop test – Crash simulation


MSC.CaseStudy: Chiron

Kinematics of the machinePrototype of the

machine


MSC.CaseStudy: Chiron


Robot , Parallel Kinematic Robot


Tracked Hybrid Mobile Robot


MSC Software Simulation SolutionsIntegrated Multidisciplinary Simulations

446/13/2012

Model and analyze structural,

thermal, motion, and systems

simulations in a single, fully

integrated user environment

Access native CAD features for

defeaturing and faster meshing &

pre-processing

Use a common data model across

discipline simulations for higher

accuracy and faster results

Automate standard and repeatable

simulations so simplify simulations

and reduce costs

Optimize Designs by Simulating

Multidisciplinary Problems

Structures ThermalMotion Crash/Explicit

Solution Extensions

Common

Data Model


• Automate repetitive

processes

• Create standards for

enterprise simulation

• Eliminate process errors

• Reduces Workflow Time

The Value of Templates

SetupModel

CreateSupports

ApplyConstraints

ApplyLoads

ExportNastran

GRIDPairs

GenerateReport

SetupModel

CreateSupports

ApplyConstraints

ApplyLoads

ExportNastran

GRIDPairs

GenerateReport

Collect ModelPre

ProcessSolve

PostProcess

Report

Productivity

Gain

Productivity

Gain


Simulation Data

& Process

Management


Innovation FrameworkManaging, Integrating, and Automating Simulation

Methods

• Manage diverse simulation content

– Models, files, inputs and outputs

– Instructions, Scripts, Macros, Templates

– Simulation Processes & CAE workflow

– Classify, Store, Protect, Distribute

Information

Motion Structures

CFD

Controls

Calculations

Instructions

Report

Report

Report

Processes

• Manage & automate simulation processes

– Manually repetitive tasks

– Standard procedures

– Multiple method execution sequences

– Schedule management on HPC

Methods

Collect Model Solve Report Pre

Process

Post

Process


Process

Post

Process


Process

Post

Process


Process

Post

Process


Process

Post

Process


Process

Post

Process

Collect Model Solve ReportPre

Process

Post

Process


Process

Post

ProcessCollect Model Solve ReportPre

Process

Post

Process


Process

Post

Process

• Document simulation audit trail

– Enable “SEARCH/FIND”

– Satisfy regulatory compliance

– Protect against liability


ADAMS

MACHINERY

2012


What is Adams/Machinery?System-level Dynamic Simulation for Machinery Applications

• A set of productivity modules bundled

into a single Adams/Machinery offering:

• Offers automated creation of common

mechanical components via a wizard

interface

• Set in the Adams/View environment

• Value proposition: Offers straightforward

creation of advanced mechanical

components to drive productivity and make

the Adams software more approachable for

new engineers

• Removes barrier even for most skilled

users


Gear Module: Study the impact of the

design and behavior of gear pairs

(e.g., gear ratio, backlash

prediction) on the overall system

performance.

Belt Module: Predict the impact of the

design and dynamic behavior of

pulley-belt systems, such as

transmission ratio, tension and load

prediction, compliance studies, or

belt dynamics, on the overall system

performance.

Chain Module: Analyze the impact of the

design and behavior of chain systems,

such as drive ratio, tension, contact

forces or chain dynamics, on the

overall system performance.

What Problems Does it Solve?

506/13/2012


Belt Module

• Constraint

– Kinematic joint coupler

• 2D/3D Links

– A/Engine discretized

belt formulation

• Rigid parts connected

by field elements

• IMPACT-based

contact subroutines

for contact with

pulleys

– For 2D: 2D parts, not

3D parts constrained in

2D

Belt Types

Modeling Fidelity Options

Constraint2D

Links

3D

Links

Poly-V Grooved

Trapezoidal Toothed

Smooth

Trapezoidal Toothed Poly-V Grooved


Belt Module

• Tensioner

– A/Engine Style

– Arm and Smooth Pulley

– Rotational or Translational

Spring Damper

• Actuation like A/Engine

Options

– Torque or Motion Functions

• Constant

• Harmonic Series

• Curve

• User Defined

• Output Considerations

• A/Engine Style Belt Tracking

• Fixed Position on Span

• Follow Individual Segments


Chain Module

• Constraint

– Kinematic joint coupler

• 2D/3D Links

– A/Engine chain formulation

• Separate rigid parts per

link connected via various

compliance options

• IMPACT-based contact

subroutines for contact

with sprockets

Chain

Types

Modeling Fidelity Options Chain Compliance Options

Constraint2D

Links

3D

Links

Linear Non -

linear

Advanced

Roller Chain

Silent Chain

Roller Silent (aka Involute)


Gear Module

• Planetary Set

– Model construction automation

– Simplified-level spur gears in a

planetary configuration


www.mscsoftware.com

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