SlideShare a Scribd company logo
1 of 4
Download to read offline
An innovative technology that enables
a new approach to the mechanical design process

      Robust design from the preliminary stage




Pre-CAD optimization of complex systems
based on GD&T, process characteristics &
complex mechanical aspects.

Generation of tolerance stacks
with optimization - Simplified




                                           Enventive Engineering
Is it possible to achieve a robust design the first time, every time ?
A strategic challenge industrial organizations need to address is how to improve their ability to
efficiently generate robust product designs.
(A robust design is a design that will assemble without issues, that will operate as expected on
all its key functional requirements and that will continue to operate whatever are the manufacturing
variations, or the internal and external impacts (wear, thermal expansion, harsh conditions...)).

In the main, solving this challenge comes down to answering two questions:
- How should we organize our product development process ?
- What tools and methodologies should we apply ?

Unfortunately, the traditional answers to those two questions don’t take sources of variation into
account when making decisions at the design definition stage.
Tolerance analysis occurs late in product development, just prior to production release,
or in the manufacturing stage, necessitating troubleshooting of low production yields, field failures,
ECNs, tooling rework and warranty problems. Tolerance analysis becomes a bottleneck, and this
workflow recycles endlessly, causing significant losses on each project.

                                                 Voice of Customer/
 Enventive's pre-CAD                            Product Requirements
 design optimisation
 system

                                                                                   Product Launch
                Conceptual Design                                                  and Manufacturing

                                                                                                            Tolerance
                                                                                                            Anlysis
                             By taking variation into account early in the design cycle,
                                    Enventive solves the time-pressure crunch               Failures
                                     inherent in a traditional design workflow.

                                                                                                             ECN &Tooling
                                                                                                             Changes
                Detailed Design and
                Prototype Testing                                                      Validation


                                                                                                Tolerance
                                                                                                Anlysis
                   Traditional
                                              Handoff to Manufacturing
                   Tolerance
                                                                            Failures
                    Analysis

                                                                                                    ECN &Tooling
                                                                                                    Changes
Enventive offers a fundamentally new approach: a pre-CAD design optimization system that
incorporates variation analysis into the design optimization process.
Enventive combines geometric, mathematic, kinematic, physical modeling with automated variation
analysis, optimization capabilities, and GD&T simulation to help engineers and designers incorporate
robust design principles into their product designs.
How to measure the added value of Enventive ?
Due to Enventive's ease of use, and to the power of predictive modelling that Enventive allows,
users are able to launch their products without ECNs, tooling changes, warranty costs.

For that reason, Enventive is recommended as a strategic R&D & product development investment.

Our goal is for our customers to realize a return on investment (ROI) within the first year,
based on cost savings from using Enventive. This goal is achieved by the vast majority of
Enventive Engineering customers.

Enventive users can expect the following types of returns on investment:

  Better customer satisfaction and confidence, due to robust design methods being applied early
  in product development .
  Cost avoidance due to fewer tooling changes, ECNs, and scrap.
  More innovative designs can be developed with the same number of design and development
  human resources.
  Better capacity to manage changes over the lifetime of the product.
  Better capacity to manage production deviations.
  More exhaustive costs savings by enlarging tolerances on low impact contributors.
  Reduction in prototyping efforts. (Enventive acts as a virtual mock-up that includes variation).


How does Enventive actually work ?
Enventive's math-based core allows customers
to easily evaluate critical preliminary design
decisions that are otherwise very difficult to analyze.

Enventive integrates:
 - An innovative variational geometry modeller.
 - A simultaneous equation solver.
 - An interface with Microsoft Excel.

The automated linking and solving between geometry,
variables, equations, and Excel spreadsheets allows
easily to define robust nominals and tolerances.

System level functional optimization can be carried
out easily. Complex contacts,
forces, frictions, deformation, wear, thermal
effects, hydraulic pressure, or any physical aspects
that can be modeled using equations and curves.

Simple stacks including dimensions and GD&T can
also be built very easily, avoiding complicated
manual calculations or usage of time-consuming
CAD-based methods.
What is sensitivity analysis? How can it help in preliminary design?
Enventive has a mathematical engine that develops equations to map the relationship between a key
functional requirement (Y) and its key design parameters (X) such as dimensions, forces, or types of
other variables. Enventive computes the first partial differential of the mathematical equation to
determine sensitivity values, which represents the ratio between design parameters (X) and the key
functional requirement (Y). (For example, if X has a sensitivity of 1.2, it means that if X varies by
1.0mm, then Y will change by 1.2mm.) Sensitivities are of strategic importance when designing for
robustness. Due to the ease and speed with which preliminary design scenarios can be evaluated,
Enventive allows users to understand the key parameters, predict performance of the functional
requirement, and minimize sensitivities from the preliminary stage, so they can make well-informed
decisions about tooling and product design.

What level of complexity can Enventive handle?
Can it be used for 3D problems?
Enventive can optimise any design that can be
modeled using sketches in planes, equations and
curves. Our customers have used Enventive to
model an entire washing machine, gearboxes,
automotive latching systems, including
cable losses and the latch's movement in
different 3D planes. Typical Enventive models
include: discontinuous complex contacts, cables,
chains or belts, forces, frictions, wear, thermal
expansion, deformations, profile tolerances, etc.

What are the benefits of Enventive's integration with Excel?
Users can change nominals, tolerances, and Cp
values in the Excel spreadsheet, and the
Enventive model will update automatically.

Using the functionality of Excel's "Solver" add-in,
it is possible to optimize any design parameter
so that a design output will reach a given target
(+/- n sigmas, worst case, mean, sensitivity).

Enventive automatically generates a complete
list of contributors for tolerance stack-ups. This
makes it easy to identify if tolerances may be
expanded for low-impact parameters in order to minimize manufacturing costs.

                                                         Alan Smith - Enventive Engineering
 Enventive is a solution implementation rather
                                                             mobile: +44 (0)7791 024092
 than simply a software implementation. On-site
                                                           email: alan.smith@enventive.com
 training and on-line web support are tailored so
 that Enventive users have an easy-to-use and
                                                               European support email:
 effective solution for their own designs.
                                                            support-europe@enventive.com

More Related Content

Similar to Enventive brochure

Design of product a case study-2
Design of product  a case study-2Design of product  a case study-2
Design of product a case study-2IAEME Publication
 
Strategic Advantages of implementing Enventive 6
Strategic Advantages of implementing Enventive 6Strategic Advantages of implementing Enventive 6
Strategic Advantages of implementing Enventive 6Alan Smith
 
Udaya Gunasena resume 2014
Udaya Gunasena resume 2014Udaya Gunasena resume 2014
Udaya Gunasena resume 2014Udayagunasena
 
Udaya gunasena resume 2014
Udaya gunasena resume 2014Udaya gunasena resume 2014
Udaya gunasena resume 2014Udayagunasena
 
Etcel Brochure 062009
Etcel Brochure 062009Etcel Brochure 062009
Etcel Brochure 062009sibleyd
 
Comprehensive machining simulation beyond g code verification final
Comprehensive machining simulation   beyond g code verification finalComprehensive machining simulation   beyond g code verification final
Comprehensive machining simulation beyond g code verification finalLiu PeiLing
 
AVEVA Everything 3D
AVEVA Everything 3DAVEVA Everything 3D
AVEVA Everything 3DHadi Karimi
 
Software enginnering unit 01 by manoj kumar soni
Software enginnering unit 01 by manoj kumar soniSoftware enginnering unit 01 by manoj kumar soni
Software enginnering unit 01 by manoj kumar sonimanojsonikgn
 
DesignTech Systems - DCS presentation Oct 2017
DesignTech Systems - DCS presentation Oct 2017DesignTech Systems - DCS presentation Oct 2017
DesignTech Systems - DCS presentation Oct 2017DesignTech Systems Ltd.
 
Joel Amzallag
Joel AmzallagJoel Amzallag
Joel Amzallagjamzallag
 
IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010
IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010
IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010Claire O'Keeffe
 
COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...
COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...
COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...IRJET Journal
 
Engg services from cdg
Engg services from cdgEngg services from cdg
Engg services from cdgShekar N.
 
SolidWorks: Overview, 2012
SolidWorks: Overview, 2012SolidWorks: Overview, 2012
SolidWorks: Overview, 2012Paul Schneider
 
Computer-Aided Engineering
Computer-Aided EngineeringComputer-Aided Engineering
Computer-Aided EngineeringAdesanya Adebayo
 
Siemens-PLM-NX-CAE-overview-br-X24
Siemens-PLM-NX-CAE-overview-br-X24Siemens-PLM-NX-CAE-overview-br-X24
Siemens-PLM-NX-CAE-overview-br-X24Brady Walther
 

Similar to Enventive brochure (20)

Design of product a case study-2
Design of product  a case study-2Design of product  a case study-2
Design of product a case study-2
 
Strategic Advantages of implementing Enventive 6
Strategic Advantages of implementing Enventive 6Strategic Advantages of implementing Enventive 6
Strategic Advantages of implementing Enventive 6
 
Udaya Gunasena resume 2014
Udaya Gunasena resume 2014Udaya Gunasena resume 2014
Udaya Gunasena resume 2014
 
Udaya gunasena resume 2014
Udaya gunasena resume 2014Udaya gunasena resume 2014
Udaya gunasena resume 2014
 
Etcel Brochure 062009
Etcel Brochure 062009Etcel Brochure 062009
Etcel Brochure 062009
 
Comprehensive machining simulation beyond g code verification final
Comprehensive machining simulation   beyond g code verification finalComprehensive machining simulation   beyond g code verification final
Comprehensive machining simulation beyond g code verification final
 
AVEVA Everything 3D
AVEVA Everything 3DAVEVA Everything 3D
AVEVA Everything 3D
 
Software enginnering unit 01 by manoj kumar soni
Software enginnering unit 01 by manoj kumar soniSoftware enginnering unit 01 by manoj kumar soni
Software enginnering unit 01 by manoj kumar soni
 
Paper Journal_Final
Paper Journal_FinalPaper Journal_Final
Paper Journal_Final
 
DesignTech Systems - DCS presentation Oct 2017
DesignTech Systems - DCS presentation Oct 2017DesignTech Systems - DCS presentation Oct 2017
DesignTech Systems - DCS presentation Oct 2017
 
Joel Amzallag
Joel AmzallagJoel Amzallag
Joel Amzallag
 
Advantages of Early Adoption of CAE in New Product Development
Advantages of Early Adoption of CAE in New Product DevelopmentAdvantages of Early Adoption of CAE in New Product Development
Advantages of Early Adoption of CAE in New Product Development
 
IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010
IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010
IC Mask Design - IC Layout Acceleration Tool - DAC Conference, June 2010
 
COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...
COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...
COMPUTER INTEGRATED MANUFACTURING (CIM) IN DIE MANUFACTURING INDUSTRY FOR PRO...
 
Engg services from cdg
Engg services from cdgEngg services from cdg
Engg services from cdg
 
SolidWorks: Overview, 2012
SolidWorks: Overview, 2012SolidWorks: Overview, 2012
SolidWorks: Overview, 2012
 
Computer-Aided Engineering
Computer-Aided EngineeringComputer-Aided Engineering
Computer-Aided Engineering
 
Siemens-PLM-NX-CAE-overview-br-X24
Siemens-PLM-NX-CAE-overview-br-X24Siemens-PLM-NX-CAE-overview-br-X24
Siemens-PLM-NX-CAE-overview-br-X24
 
SolidWorks Plastics 2013
SolidWorks Plastics 2013SolidWorks Plastics 2013
SolidWorks Plastics 2013
 
Design It 4 U, Thane, Product Deveopment
Design It 4 U, Thane, Product DeveopmentDesign It 4 U, Thane, Product Deveopment
Design It 4 U, Thane, Product Deveopment
 

Recently uploaded

OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureEric D. Schabell
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 

Recently uploaded (20)

OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability Adventure
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 

Enventive brochure

  • 1. An innovative technology that enables a new approach to the mechanical design process Robust design from the preliminary stage Pre-CAD optimization of complex systems based on GD&T, process characteristics & complex mechanical aspects. Generation of tolerance stacks with optimization - Simplified Enventive Engineering
  • 2. Is it possible to achieve a robust design the first time, every time ? A strategic challenge industrial organizations need to address is how to improve their ability to efficiently generate robust product designs. (A robust design is a design that will assemble without issues, that will operate as expected on all its key functional requirements and that will continue to operate whatever are the manufacturing variations, or the internal and external impacts (wear, thermal expansion, harsh conditions...)). In the main, solving this challenge comes down to answering two questions: - How should we organize our product development process ? - What tools and methodologies should we apply ? Unfortunately, the traditional answers to those two questions don’t take sources of variation into account when making decisions at the design definition stage. Tolerance analysis occurs late in product development, just prior to production release, or in the manufacturing stage, necessitating troubleshooting of low production yields, field failures, ECNs, tooling rework and warranty problems. Tolerance analysis becomes a bottleneck, and this workflow recycles endlessly, causing significant losses on each project. Voice of Customer/ Enventive's pre-CAD Product Requirements design optimisation system Product Launch Conceptual Design and Manufacturing Tolerance Anlysis By taking variation into account early in the design cycle, Enventive solves the time-pressure crunch Failures inherent in a traditional design workflow. ECN &Tooling Changes Detailed Design and Prototype Testing Validation Tolerance Anlysis Traditional Handoff to Manufacturing Tolerance Failures Analysis ECN &Tooling Changes Enventive offers a fundamentally new approach: a pre-CAD design optimization system that incorporates variation analysis into the design optimization process. Enventive combines geometric, mathematic, kinematic, physical modeling with automated variation analysis, optimization capabilities, and GD&T simulation to help engineers and designers incorporate robust design principles into their product designs.
  • 3. How to measure the added value of Enventive ? Due to Enventive's ease of use, and to the power of predictive modelling that Enventive allows, users are able to launch their products without ECNs, tooling changes, warranty costs. For that reason, Enventive is recommended as a strategic R&D & product development investment. Our goal is for our customers to realize a return on investment (ROI) within the first year, based on cost savings from using Enventive. This goal is achieved by the vast majority of Enventive Engineering customers. Enventive users can expect the following types of returns on investment: Better customer satisfaction and confidence, due to robust design methods being applied early in product development . Cost avoidance due to fewer tooling changes, ECNs, and scrap. More innovative designs can be developed with the same number of design and development human resources. Better capacity to manage changes over the lifetime of the product. Better capacity to manage production deviations. More exhaustive costs savings by enlarging tolerances on low impact contributors. Reduction in prototyping efforts. (Enventive acts as a virtual mock-up that includes variation). How does Enventive actually work ? Enventive's math-based core allows customers to easily evaluate critical preliminary design decisions that are otherwise very difficult to analyze. Enventive integrates: - An innovative variational geometry modeller. - A simultaneous equation solver. - An interface with Microsoft Excel. The automated linking and solving between geometry, variables, equations, and Excel spreadsheets allows easily to define robust nominals and tolerances. System level functional optimization can be carried out easily. Complex contacts, forces, frictions, deformation, wear, thermal effects, hydraulic pressure, or any physical aspects that can be modeled using equations and curves. Simple stacks including dimensions and GD&T can also be built very easily, avoiding complicated manual calculations or usage of time-consuming CAD-based methods.
  • 4. What is sensitivity analysis? How can it help in preliminary design? Enventive has a mathematical engine that develops equations to map the relationship between a key functional requirement (Y) and its key design parameters (X) such as dimensions, forces, or types of other variables. Enventive computes the first partial differential of the mathematical equation to determine sensitivity values, which represents the ratio between design parameters (X) and the key functional requirement (Y). (For example, if X has a sensitivity of 1.2, it means that if X varies by 1.0mm, then Y will change by 1.2mm.) Sensitivities are of strategic importance when designing for robustness. Due to the ease and speed with which preliminary design scenarios can be evaluated, Enventive allows users to understand the key parameters, predict performance of the functional requirement, and minimize sensitivities from the preliminary stage, so they can make well-informed decisions about tooling and product design. What level of complexity can Enventive handle? Can it be used for 3D problems? Enventive can optimise any design that can be modeled using sketches in planes, equations and curves. Our customers have used Enventive to model an entire washing machine, gearboxes, automotive latching systems, including cable losses and the latch's movement in different 3D planes. Typical Enventive models include: discontinuous complex contacts, cables, chains or belts, forces, frictions, wear, thermal expansion, deformations, profile tolerances, etc. What are the benefits of Enventive's integration with Excel? Users can change nominals, tolerances, and Cp values in the Excel spreadsheet, and the Enventive model will update automatically. Using the functionality of Excel's "Solver" add-in, it is possible to optimize any design parameter so that a design output will reach a given target (+/- n sigmas, worst case, mean, sensitivity). Enventive automatically generates a complete list of contributors for tolerance stack-ups. This makes it easy to identify if tolerances may be expanded for low-impact parameters in order to minimize manufacturing costs. Alan Smith - Enventive Engineering Enventive is a solution implementation rather mobile: +44 (0)7791 024092 than simply a software implementation. On-site email: alan.smith@enventive.com training and on-line web support are tailored so that Enventive users have an easy-to-use and European support email: effective solution for their own designs. support-europe@enventive.com