VCPD865 - Additive Manufacturing: Laser Powder Bed Fusion (Virtual Classroom) has been added to your cart.

Additive Manufacturing: Laser Powder Bed Fusion (Virtual Classroom)

An overview of Additive Manufacturing utilizing Laser Powder Bed Fusion (L-PBF) technology focused specifically on the engineering aspects of part production.

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Additive Manufacturing: Laser Powder Bed Fusion (Virtual Classroom)
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  • Sep 26-Oct 06th, 2022



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ASME & Siemens Energy Partnership

Course Schedule:  This course is offered over the following eight-day session, commencing at 11 AM and ending at 1:30 PM Eastern, each day, with breaks scheduled throughout:

  • September 26 - 29 and October 3 - 6, 2022

ASME’s Additive Manufacturing (AM) Virtual Classroom course provides an overview of Laser Powder Bed Fusion (L-PBF) technology from ideation to costing and production, with a special focus on L-PBF part production, process and design. Engineers will work through an overview of L-PBF fundamentals, L-PBF process chain, design rules, and finally finish the course with applicable use cases.

This ASME and Siemens Energy AG course partnership inspires novel thinking in part production and educates on the usage and design of AM parts. Our expert instructors share real-world examples, use-cases, and experiences in R&D and industrialization projects based on their 10+ years of experience in AM, especially Laser Powder-Bed Fusion.
By participating in this course, you will learn to:

  • Leverage L-PBF hardware, fundamentals in printing, and opportunities and limitations for successful L-PBF printing
  • Distinguish steps in the L-PBF process chain: from ideation to production including post-processing
  • Apply L-PBF design rules to support structures, geometric limits, and depowdering
  • Assess L-PBF design strategies for ingenuity-driven design, functional integration, and design to cost
  • Evaluate metal powder characterization and requirements, material challenges, and typical defects during the printing process

Who should attend?

  • Engineering teams at design and manufacturing firms, as well as individuals.
  • Early to mid-career engineers, including design engineers, materials engineers, manufacturing engineers, application engineers and others with an interest in additive manufacturing with metals. 

Course participants are expected to have:

  • Fundamental engineering knowledge
  • Basic to intermediate understanding of L-PBF technology (laser, powder, melt layer-by-layer)
  • General understanding of manufacturing and traditional manufacturing processes (i.e., machining/milling, casting, forging)
  • Some experience working in the manufacturing industry (a plus but not required)

This ASME Virtual Classroom course is held live with an instructor on our online learning platform.  Certificate of completion will be issued to registrants who successfully attend and complete the course.

Buying for a team? Get ASME Corporate Training.

Set up a customized session of this course for your workforce. Contact to learn more about group rates.


Fundamentals 1

  • Introduction
  • L-PBF Hardware Overview
  • L-PBF Fundamentals 1
    • Laser and Optics
    • Melt Pools
    • L-PBF Scan Strategies
  • PBF Fundamentals 2
    • Surfaces
    • Residual Stress
    • Gas Flow
  • Opportunities and Limitations

Process Chain

  • L-PBF Process Chain
    • Pre-Build Job
    • Build Job
    • Post Build Job
  • Post-Processing
    • Thermal Post-Processing
    • Part & Support Removal
    • Surface Finishing


  • Design Rules for L-PBF
    • Support Structures
    • Geometric Limits
    • Depowdering
    • Post-Processing
  • Design Strategies for L-PBF
    • Ingenuity-driven Design
    • Functional Integration
    • Design to Cost
  • (Reverse Engineering)


  • Overview
  • Powder
    • Powder Characteristics
    • Powder Production
    • Powder Management
  • L-PBF Material
    • Characterization
    • Mechanical Properties

Process and Defects

  • L-PBF Process deep dive
    • Defects
    • Process Development
  • Process Monitoring
  • L-PBF Fails

Cost and Part Selection

  • Component Selection Criteria
    • L-PBF cost
    • Print costs
    • Process chain costs
  • Single vs. Multi-Laser
  • AM Roadmap

 Applied Learnings

  • Design to cost
  • Use case
    • Assess potential
    • DfAM opportunities
    • Process chain
  • Expert Q&A, Discussions

Jan Bogner works as a research and development engineer at Siemens Energy’s Additive Manufacturing Technology team in Berlin, Germany. His field of expertise are within material and process development for Laser Powder-Bed Fusion, where his main research focuses on the understanding and adjustment of process parameters and exposure strategies to increase the material portfolio for industrial additive manufacturing.
Besides his research, he co-created and hosts the Siemens Energy Additive Manufacturing training and education program for internal and external customers to share the “lessons learned” of over 10 years of industrial AM.
Siemens Energy and ASME are partnering to work towards scaling workforce development across the field of engineering. ASME’s agile course development, educational technology and learning science expertise—combined with Siemens broad AM know-how and experience—will enhance ASME’s Learning & Development course offerings.

As a result, the engineering community will benefit from an expansive body of subject-matter expertise, rooted in more than 10 years of scalable serial production experience in AM. All aspects of AM design, materials, and processes will be covered while connecting the AM ecosystem via Siemens to simplify the collaboration process, and streamline new production processes.

Daniel Cassar is a design engineer for Siemens Energy Additive Manufacturing Engineering Services with nearly 15 years design experience in the HVAC, automotive, and energy industries. He oversaw the startup and operation of Siemens Energy’s first production capable Laser Powder Bed Fusion equipment in the United States. His focus has been leveraging additive manufacturing benefits to adapt, develop, and optimize designs.



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