Design for Additive Manufacturing: Towards End-Part Production Web Seminar RePlay

Kód kurzu: PD331705

Tato část není lokalizována

Additive manufacturing (AM), with origins in the 1980s, has only more recently emerged as a manufacturing process of choice for functional part production, adding to the suite of choices a designer has available when designing a part for manufacturing. Like other traditional processes like casting and machining, AM has its set of constraints. An added layer of complexity comes from the fact that there are several different AM processes, and some of the design constraints are process-specific. On the other hand, AM offers a range of opportunities in design freedom and mass customization as well as in cost and lead time reduction in some cases. Today, it is essential for designers to embrace AM as a possible manufacturing method to ensure their products are competitive and also to unlock the design innovation that AM enables.

The goal of this 10-hour course is to give designers the information needed to start designing for AM at all levels – identifying and justifying use of AM technology for a particular part, selecting the right process and material for the application and ensuring it is designed with the advantages and considerations of AM in mind. The course is not intended to serve as a software-training class or as a deep dive into any specific AM process, but rather to draw connections between design and AM from a designer’s perspective.

Objectives

By participating in this course, you’ll be able to:

  • List the different polymer and metal AM process technologies and materials and identify which of these are being used for functional part production
  • Select the optimum AM material and process for a particular application
  • Predict how design decisions impact manufacturability for the selected AM process and apply design rules and guidelines to your design process
  • Quantify the expected properties of the AM parts you are designing
  • Discover how topology optimization, cellular structures and other disruptive design techniques can be leveraged with AM and associated software tools
  • Identify the different drivers for adopting AM for a particular part, with regard to cost, lead time, supply chain and performance risks
  • Relate to the challenges and ongoing research efforts to be able to move forward with AM implementation in the presence of rapid change in the field
  • Develop a comprehensive strategy to bring AM for functional part production into your organization that addresses both the benefits and impacts

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Forma: TOD

Délka kurzu: 90 dnů

Jazyk: en

Cena bez DPH: 18 000 Kč

Registrovat

Počáteční
datum
Místo
konání
Forma Délka
kurzu
Jazyk Cena bez DPH
Na vyžádání TOD 90 dnů en 18 000 Kč Registrovat
G Garantovaný kurz

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Struktura kurzu

Tato část není lokalizována

Session 1: Additive Manufacturing Process

  • Introduction to AM
  • Polymer AM
    • Fused Deposition Modeling (FDM)
    • Selective Laser Sintering (SLS)
    • Other processes and trends
    • Functional parts case studies
  • Metal AM
    • Powder Bed Fusion (PBF): laser and electron beam
    • Directed Energy Deposition (DED)
    • Other processes and trends
    • Functional parts case studies
  • Material Options and Selection
  • Key Process Concepts
    • Build sizes
    • Part orientation
    • Support management
    • Post processing
  • Considerations
    • Dimensional accuracy and tolerances
    • Surface roughness
    • Physical properties
    • Mesostructure
    • Mechanical properties

Session 2: Introduction to Design for AM

  • The Need for New Design Thinking with AM
  • Four Levels of AM Design
    • Prototypes and tooling
    • Direct part replacement
    • Part consolidation
    • Design for AM optimized
  • Introduction to Software Tools for AM
    • Solid modeling (CAD)
    • Topology optimization
    • Lattice materials design
    • Build preparation
    • Process simulation
  • Support Fundamentals
    • Purpose of supports
    • Process dependence
    • Self-supporting design concepts
    • The importance of orientation
  • Build Preparation SW Demos
    • Demo with Insight (FDM)
    • Demo with Magics (Metal)

Session 3: Topology Optimization

  • Motivation: The Case for Sustainable Design
  • Case Studies with AM
  • Introduction to Optimization Concepts
  • Material Models
  • Demo with ANSYS
    • Problem setup
    • Optimization
    • Smoothing
    • Validation
  • Manufacturability

Session 4: Lattice Materials Design

  • Biometric Underpinnings
  • Classification of Cellular Materials
    • Volume/space-filling
    • Surface
  • Functions and Performance Gains
    • Structural
    • Transport
  • Case Studies with AM
  • Modeling Approaches
  • Demo with nTopology
  • Manufacturability

Session 5: Implementing AM – A Practical Guide for Designers

  • Part Selection for AM
    • Purdue scorecard for part evaluation for AM
    • Cost considerations
  • Challenges and Open Questions
    • Environment, health and safety
    • Process, supplier, equipment selection
    • Material properties and modeling
    • Process variation: repeatability, reproducibility and tool-to-tool matching
    • Design software choices
    • Data handling & traceability
    • Standards
  • Successful AM Adoption Transition Strategies
    • Polymer to metal
    • Prototype to end-use part
    • Outsourcing to in-house
  • Resources

Předpokládané znalosti

Tato část není lokalizována

This training is relevant to and needed by designers that work in aerospace and automotive companies and are chartered with either designing next generation solutions, or even with designing for cost, replacement parts or tooling used in the manufacturing process. Designers that can use existing design tools but need to learn enough about AM so they can use these tools to design parts suitable for these manufacturing processes will especially benefit from this course.

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