Riccardo Bianco
Topology optimization - Altair suite
tecnologia, scenari e scelte strategiche per la transizione digitale dell'industria manifatturiera
Reengineering of Topology Optimization Results - Inspire and PolyNURBSAltair
In an optimization driven design process, going from a conceptual optimization result to a CAD geometry can be a tedious and time consuming activity. Learn how to take advantage of the unique freedom from PolyNURBS technology to unleash your creativity and create CAD concepts in an intuitive, easy and fast way.
Design Methodologies for ALM and Lattice partsAltair
Design for additively made parts has become a very hot topic. Many engineers see the potential for topology optimization when designing ALM parts, but once they start the workflow, they tend to get bogged down in how to complete the process.
Create Radically Better Products with Design Optimization and 3D PrintingDesign World
Designing for additive manufacturing requires a new mindset. Simply designing traditional parts and producing with additive manufacturing will likely result in more costly, slower to produce results. In order to truly benefit from the advantages of the additive process, designers must think differently when designing parts. Topology optimization is a technology that generated ideal structural parts based on loading conditions and the actual intended use of the part.
Thyssenkrupp Tallent - Evolutionary Design in Chassis TechnologyAltair ProductDesign
This paper from Thyssenkrupp Tallent and Altair ProductDesign details the use of the eDICT process for the design of sheet metal chassis components. eDICT (evolutionary design in chassis technology) is an innovative structured process flow for the design of optimal structures. On recent projects eDICT has produced 25% mass reductions compared to the current series design. eDICT is also able to reduce development times and resource with an efficient solution production right from the outset.
Reengineering of Topology Optimization Results - Inspire and PolyNURBSAltair
In an optimization driven design process, going from a conceptual optimization result to a CAD geometry can be a tedious and time consuming activity. Learn how to take advantage of the unique freedom from PolyNURBS technology to unleash your creativity and create CAD concepts in an intuitive, easy and fast way.
Design Methodologies for ALM and Lattice partsAltair
Design for additively made parts has become a very hot topic. Many engineers see the potential for topology optimization when designing ALM parts, but once they start the workflow, they tend to get bogged down in how to complete the process.
Create Radically Better Products with Design Optimization and 3D PrintingDesign World
Designing for additive manufacturing requires a new mindset. Simply designing traditional parts and producing with additive manufacturing will likely result in more costly, slower to produce results. In order to truly benefit from the advantages of the additive process, designers must think differently when designing parts. Topology optimization is a technology that generated ideal structural parts based on loading conditions and the actual intended use of the part.
Thyssenkrupp Tallent - Evolutionary Design in Chassis TechnologyAltair ProductDesign
This paper from Thyssenkrupp Tallent and Altair ProductDesign details the use of the eDICT process for the design of sheet metal chassis components. eDICT (evolutionary design in chassis technology) is an innovative structured process flow for the design of optimal structures. On recent projects eDICT has produced 25% mass reductions compared to the current series design. eDICT is also able to reduce development times and resource with an efficient solution production right from the outset.
Additive Manufacturing Series: Why You Need 3D Printing In Additive Manufactu...Adaptive Corporation
Make your part in a day instead of weeks
Markforged is transforming manufacturing by delivering 3D printing that produces high-quality, industrial-strength parts that are ready for production. Join us for a webinar introducing Markforged and its portfolio of industrial strength printers. This webinar will:
1.Show why 3D printers are crucial to manufacturing workflows
2.Explore Markforged composite 3D printers as well as their new metal 3D printer
3.Share Customer Success examples showcasing the magnitude of time and money saved by 3D printing
4.Review financing options so you can get your printer now vs. later
Presented by:
Wayne Tanner, Adaptive Corporation
Jason Rose, Markforged
James Maybrey, Capital Credit Services
The current work focuses on simulation based optimization of a complex, safety critical component where it is prohibitively expensive to carry out finite element analysis (FEA) simulations for all possible sample realizations and therefore requires statistical or machine learning techniques for a timely yet accurate solution. The applicability of machine learning further brings the opportunity of performing in-service monitoring using sensor data and thereby performing predictive maintenance.
Presentation shows through a numerical example of a BOP model how to optimize a critical subsea component using the SIMULIA Power of Portfolio components for fatigue (fe-safe) and reliability (Isight).
Fused deposition modelling (FDM) has become a prevalent technique to additively manufacture polymer that can provide design freedom and creativity. However, like any other AM technologies, FDM has its own challenges. The inherent void, surface roughness and dimensional accuracy during manufacturing can lead to tolerance rejection, cracking or failure during the product life. Also, the resultant anisotropic material properties are inherent in the layer-by-layer manufacturing features. Therefore, it is important to understand and simulate FDM process, in which complex thermo-mechanical interaction takes place due to rapid heating/cooling.
The current work will first provide a brief overview of the current polymer AM simulation solutions, validation protocols, and standardization efforts. Secondly, a simulation framework using Abaqus will be presented to replicate the FDM process that can provide insight into how the process parameters affect product quality. Currently, simulation solutions has the capability to model the polymer extrusion process with that can capture the layer-by-layer element activation feature and varying free surface in heating and cooling. Finally, an example study will be presented to show how modifying process parameters such as raster angle, contour width and layer thickness affect the transient thermal, deformation and residual stress field. Accordingly, optimal processing parameters can be identified based on the criterion of minimizing distortion and residual stresses.
With the advent of efficient and robust numerical analysis techniques such as finite element analysis (FEA) and the increased computing power of today’s hardware solutions, it has become practical to simulate thermo-mechanical behaviors of plastics and rubbers that can capture the physical reality of such materials with high fidelity. Replicating physical behavior of highly complex and non-linear materials such as plastics have positioned FEA tools to create life like models that will behave like the real part or product. Such simulation can compare very well with the physical test. Therefore, using FEA techniques one can perform virtual testing to design plastic products and also can use simulation techniques to optimize design based on a mathematically robust approach instead of heuristic, experience based approach only. Using FEA one can address the needs of the product development lifecycle from concept through detailed design capturing realistic simulation of underlying complex physics.
Development of new products is extremely essential for the success and smooth running of every industry. Companies have to constantly inject innovations and design efforts to make the design processes easy and to attract consumers in a constantly in a evolving and highly competitive market with best quality . Keeping ahead of the competition by bringing new and exciting products to market fast, and at the necessary level of quality, presents a major engineering challenge. A new casting bracket in place of old stamping brackets in snowmobile chassis development process is described, which introduces advanced FEM and Optimization technology into the concept development phase. Detailed predictions of interacting parts in a mechanism assembly are made possible through use of value engineering based process and material selection and advanced simulation technology. Design optimization is then employed using the modeling as a virtual testing ground for design variants. The approach provides clear design direction and helps to improve performance and reduce the unnecessary welding efforts of bracket manufacturing. Design is an intelligent activity that begins with design requirements and ends with a product description. Using Altair Optistruct was able to significantly reduce design time by sub modeling with structural optimization. The resultant casting bracket design showed superior performance characteristics. And finely the manufacturer had to put less efforts in stamping and part welding , which reduced the manufacturing time and cost also.
Lecture # 06 Tools for Additive Manufacturing ANSYSSolomon Tekeste
The Additive Manufacturing Potential
Topology Optimization
A technique for optimum material distribution in a given design domain.
Why do topology optimization?
Able to achieve the optimal design without depending on designers’ a priori knowledge.
More powerful than shape and size optimization.
Why Topology optimization?
What's behind? Explanation of the optimization methods
Topology Optimization
Software… soft procedure
Optimal Design via Topology Optimization
Topology Optimization
This presentation gives a brief overview of Altair ProductDesign, a global product development and engineering company who specialize in optimization and creating lightweight design solutions.
For numerous large enterprises, the alignment of hardware and software processes is critical to managing an Agile environment. Agile Hardware implementations can be put in place by using the same framework as our typical Agile Software Development transformations. Start off with assessing the organization’s current state, then move to planning and preparing by and putting together a transition backlog, start execution with training and coaching, spread the cultural shift with change management and maintain and scale the transformation.
Design Optimization for Additive Manufacturing - Webinar - June 28th
With the widespread use of Additive Manufacturing, a new generation of design concepts are now possible to economically produce that weren’t feasible with traditional manufacturing methods. Design Engineers can now quickly optimize designs for 3D Printing, using the new Generative Shape Designer role in the 3DEXPERIENCE platform. This new role allows designers to create optimized designs in a fraction of the time possible with current tools, while using the powerful Abaqus™ solver. See how this exciting new technology can transform your design process!
CAE FEA Services from ProSIM Bangalore (Updated 22092022).pptxprosim1
Pro Sim offers the best Computer Aided Engineering outsourcing services in Bangalore. We are an engineering and design company a way to outsource the work to companies that specialize in engineering and design.
Today's fast paced product market has shorter lifecycles and tighter budgetary concerns. Tolerance analysis software provides an ideal solution to reduce the number of crucial steps needed to optimize a product at the design step itself. 3DCS Variation Analyst is the world's most used tolerance analysis software that is fully integrated into NX/ CATIA V5/ Creo and CAD Neutral Multi-CAD. 3DCS Variation Analyst is designed to use a consistent format and set of mathematical formulae that create reliable results, enabling engineers to gain a complete insight into their design. The software empowers design engineers to control variation and optimize their designs to account for inherent process and part variation, which in turn reduces non-conformance, scrap, rework and other associated costs.
3DCS Variation Analyst
Used by the world’s leading manufacturing OEM’s to reduce the cost of quality, 3DCS Variation Analyst comes in two flavours:
1) 3DCS Variation Analyst (NX / CAA V5 or Creo Based) is an integrated solution for NX / CATIA V5 or Creo. Since it is an integrated solution, users can not only activate 3DCS workbenches from within the modelling solution, they can use many of its inbuilt functionality to support their modelling.
3DCS Variation Analyst provides three analysis methods:
Monte Carlo Analysis
High-Low-Mean (Sensitivity Analysis) and
Geofactor Analysis (Relationship)
Additive Manufacturing Series: Why You Need 3D Printing In Additive Manufactu...Adaptive Corporation
Make your part in a day instead of weeks
Markforged is transforming manufacturing by delivering 3D printing that produces high-quality, industrial-strength parts that are ready for production. Join us for a webinar introducing Markforged and its portfolio of industrial strength printers. This webinar will:
1.Show why 3D printers are crucial to manufacturing workflows
2.Explore Markforged composite 3D printers as well as their new metal 3D printer
3.Share Customer Success examples showcasing the magnitude of time and money saved by 3D printing
4.Review financing options so you can get your printer now vs. later
Presented by:
Wayne Tanner, Adaptive Corporation
Jason Rose, Markforged
James Maybrey, Capital Credit Services
The current work focuses on simulation based optimization of a complex, safety critical component where it is prohibitively expensive to carry out finite element analysis (FEA) simulations for all possible sample realizations and therefore requires statistical or machine learning techniques for a timely yet accurate solution. The applicability of machine learning further brings the opportunity of performing in-service monitoring using sensor data and thereby performing predictive maintenance.
Presentation shows through a numerical example of a BOP model how to optimize a critical subsea component using the SIMULIA Power of Portfolio components for fatigue (fe-safe) and reliability (Isight).
Fused deposition modelling (FDM) has become a prevalent technique to additively manufacture polymer that can provide design freedom and creativity. However, like any other AM technologies, FDM has its own challenges. The inherent void, surface roughness and dimensional accuracy during manufacturing can lead to tolerance rejection, cracking or failure during the product life. Also, the resultant anisotropic material properties are inherent in the layer-by-layer manufacturing features. Therefore, it is important to understand and simulate FDM process, in which complex thermo-mechanical interaction takes place due to rapid heating/cooling.
The current work will first provide a brief overview of the current polymer AM simulation solutions, validation protocols, and standardization efforts. Secondly, a simulation framework using Abaqus will be presented to replicate the FDM process that can provide insight into how the process parameters affect product quality. Currently, simulation solutions has the capability to model the polymer extrusion process with that can capture the layer-by-layer element activation feature and varying free surface in heating and cooling. Finally, an example study will be presented to show how modifying process parameters such as raster angle, contour width and layer thickness affect the transient thermal, deformation and residual stress field. Accordingly, optimal processing parameters can be identified based on the criterion of minimizing distortion and residual stresses.
With the advent of efficient and robust numerical analysis techniques such as finite element analysis (FEA) and the increased computing power of today’s hardware solutions, it has become practical to simulate thermo-mechanical behaviors of plastics and rubbers that can capture the physical reality of such materials with high fidelity. Replicating physical behavior of highly complex and non-linear materials such as plastics have positioned FEA tools to create life like models that will behave like the real part or product. Such simulation can compare very well with the physical test. Therefore, using FEA techniques one can perform virtual testing to design plastic products and also can use simulation techniques to optimize design based on a mathematically robust approach instead of heuristic, experience based approach only. Using FEA one can address the needs of the product development lifecycle from concept through detailed design capturing realistic simulation of underlying complex physics.
Development of new products is extremely essential for the success and smooth running of every industry. Companies have to constantly inject innovations and design efforts to make the design processes easy and to attract consumers in a constantly in a evolving and highly competitive market with best quality . Keeping ahead of the competition by bringing new and exciting products to market fast, and at the necessary level of quality, presents a major engineering challenge. A new casting bracket in place of old stamping brackets in snowmobile chassis development process is described, which introduces advanced FEM and Optimization technology into the concept development phase. Detailed predictions of interacting parts in a mechanism assembly are made possible through use of value engineering based process and material selection and advanced simulation technology. Design optimization is then employed using the modeling as a virtual testing ground for design variants. The approach provides clear design direction and helps to improve performance and reduce the unnecessary welding efforts of bracket manufacturing. Design is an intelligent activity that begins with design requirements and ends with a product description. Using Altair Optistruct was able to significantly reduce design time by sub modeling with structural optimization. The resultant casting bracket design showed superior performance characteristics. And finely the manufacturer had to put less efforts in stamping and part welding , which reduced the manufacturing time and cost also.
Lecture # 06 Tools for Additive Manufacturing ANSYSSolomon Tekeste
The Additive Manufacturing Potential
Topology Optimization
A technique for optimum material distribution in a given design domain.
Why do topology optimization?
Able to achieve the optimal design without depending on designers’ a priori knowledge.
More powerful than shape and size optimization.
Why Topology optimization?
What's behind? Explanation of the optimization methods
Topology Optimization
Software… soft procedure
Optimal Design via Topology Optimization
Topology Optimization
This presentation gives a brief overview of Altair ProductDesign, a global product development and engineering company who specialize in optimization and creating lightweight design solutions.
For numerous large enterprises, the alignment of hardware and software processes is critical to managing an Agile environment. Agile Hardware implementations can be put in place by using the same framework as our typical Agile Software Development transformations. Start off with assessing the organization’s current state, then move to planning and preparing by and putting together a transition backlog, start execution with training and coaching, spread the cultural shift with change management and maintain and scale the transformation.
Design Optimization for Additive Manufacturing - Webinar - June 28th
With the widespread use of Additive Manufacturing, a new generation of design concepts are now possible to economically produce that weren’t feasible with traditional manufacturing methods. Design Engineers can now quickly optimize designs for 3D Printing, using the new Generative Shape Designer role in the 3DEXPERIENCE platform. This new role allows designers to create optimized designs in a fraction of the time possible with current tools, while using the powerful Abaqus™ solver. See how this exciting new technology can transform your design process!
CAE FEA Services from ProSIM Bangalore (Updated 22092022).pptxprosim1
Pro Sim offers the best Computer Aided Engineering outsourcing services in Bangalore. We are an engineering and design company a way to outsource the work to companies that specialize in engineering and design.
Today's fast paced product market has shorter lifecycles and tighter budgetary concerns. Tolerance analysis software provides an ideal solution to reduce the number of crucial steps needed to optimize a product at the design step itself. 3DCS Variation Analyst is the world's most used tolerance analysis software that is fully integrated into NX/ CATIA V5/ Creo and CAD Neutral Multi-CAD. 3DCS Variation Analyst is designed to use a consistent format and set of mathematical formulae that create reliable results, enabling engineers to gain a complete insight into their design. The software empowers design engineers to control variation and optimize their designs to account for inherent process and part variation, which in turn reduces non-conformance, scrap, rework and other associated costs.
3DCS Variation Analyst
Used by the world’s leading manufacturing OEM’s to reduce the cost of quality, 3DCS Variation Analyst comes in two flavours:
1) 3DCS Variation Analyst (NX / CAA V5 or Creo Based) is an integrated solution for NX / CATIA V5 or Creo. Since it is an integrated solution, users can not only activate 3DCS workbenches from within the modelling solution, they can use many of its inbuilt functionality to support their modelling.
3DCS Variation Analyst provides three analysis methods:
Monte Carlo Analysis
High-Low-Mean (Sensitivity Analysis) and
Geofactor Analysis (Relationship)
New Approaches to ALM PLM Cross Discipline Product DevelopmentAras
Presenters: Airbus, IBM, Aras
Product teams developing systems including mechanical, electrical and software technologies face a key challenge caused by a lack of integration between application lifecycle management (ALM) and product lifecycle management (PLM) systems. During this session experts from Airbus and Aras will use real-world scenarios to describe a new and different approach based on a reference architecture implementation utilizing OSLC.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
3. How we can find the best shape ?
The greater freedom, given by the lesser production constraints, makes it possible to
produce components whose shape may be closest to the most mechanically optimal
shape.
4. How we can find the best shape ?
#solution: USE TOPOLOGICAL OPTIMIZATION
5. Origin of Topology Optimization
“As a consequence of primary shape variations and continuous loading, or
even due to loading alone, bone changes its inner architecture according
to mathematical rules and, as a secondary effect and governed by the
same mathematical rules, also changes its shape.”
Dr. Julius Wolff
19 century orthopedic surgeonBerlin 1892
This forms the basis for our topology
optimization technology
6. Difference between Topological Optimization and Generative Design
• The OT is a process of optimization of the material of the
arrangement within a circumscribed space, with the aim
to better respond to the design stresses with the least
possible amount of material.
• The variables which influence on the form may be
returned:
• Security factor
• Production Technology
The result with the same variables will be the best
form
• The GD deals with exploring the different shapes that
meet the boundary conditions and spaces, without the
use of restrictive algorithms.
• The result is a large number of forms presented to the
designer, leaving the choice of the best to the latter, who
will choose according to subjective criteria
7. How draw/modelling an organic shape?
Without wasting the indications of topological optimization
8. How draw/modelling an organic shape?
#solution: USING INNOVATIVE DESIGN SOFTWARE INSTEAD TRADITIONAL CAD
Keeping compatibility with TRADITIONAL CADs
9. Draw-based design - Yesterday
THE SEPARATION OF INSTRUMENTS AND COMPETENCIES CAUSES DISCONTINUITY IN
DESIGN PROCESS
Complexity and limitations of the tools.
- The traditional CAD setting does not allow fast creation of elements with innovative forms and, even
more restrictive, does not allow for a quick change
- Normally, concept design, optimization and simulation tools require experts with different skills
10. Simulation-based design - Today
Integration of all 3 disciplines (design, simulation and optimization) into a single
easy-to-use software
. Advanced technology for optimization
. Advanced technology for simulation
. Advanced technology for concept design (PolyNURBS)
. Geometric engine compatible with most popular software CAD (PARASOLID)
FOCUS:
- Simple to use
- Integration CAD-CAE
- Fast
11. Inspire Design Process
Traditional Design Process
Develop
Concept
Detailed
Design
Production
Validation &
Prototyping
Documentation
Product
Definition
Validation &
Prototyping
Documentation
Product
Definition
Inspire Design Process
Production
Detailed
Design
Inspire
12. Challenges of Additive Manufacturing Design
1
Find the best
shape
2
Model
optimized
shapes
3
Include new
Technologies
in the design
process
Cost and Mass reduction
Increase Performance
Accelerated Product Development
13. There are 2 approaches
Start from Design Space Start from Current Project
16. Problem Statement – Aerospace Bracket AM Design
• Example from Dave Anderson – Exact Engineering
• Redesign a bracket to mount a sensitive component to an existing
structural interface.
• Optimize the bracket for minimum mass given the following
performance requirements.
• 1g sag displacement: < .00015” (furthest mounting point of component)
• 250 Hz 1st mode minimum.
• Existing bracket performance specifications
• .170 lbs
• 1st mode 225Hz
• 1g sag: .0001 (furthest mounting point of component)
18. Simulate the topology shape
• Directly in Inspire, FEA is performed on the created shape to predict results.
• These are shown below and are within specification. The resulting mass of the topology
model is .08lbs
Displ: 3.4e-5in 1st Mode: 515 Hz
19. Inspire to Tradition CAD
• “Fit” Inspire results were then brought into CAD
and a solid model was produced.
• The solid model is not an exact replica and
need not be, but structure for the load paths
need to be similar.
20. Final CAD Design
• Further refinements were made to
facilitate post machining
operations and part stability.
• Part weight: .11 lbs.
• Original part weight: .17 lbs
• Weight Redux: 35%
22. Performance Comparison
PolyNurbs Traditional CAD
388 Hz 1st Frequency 310 Hz
427 pi (1.68 MPa) Max Stress 491 psi (1.75 MPa)
6.06e-5 in (1.54e-6 m) Max Displacement 7.54e-5 in (1.92e-6 m)
.100 lb (.045 kg) Weight .108 lb (.049 kg)
8 hours Design Time 24 hours