Candidate Part Selection for Metal Additive Manufacturing
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Length: 1 days CEUs: PDHs:
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Are you looking to build parts with metal additive manufacturing? While Additive Manufacturing opens doors to new lines of design thinking and creative configurations, the key to a successful project lies in the selection of appropriate parts. This Virtual Classroom course will guide you as you identify parts that can benefit from design for additive manufacturing and learn a methodology for selection of parts.
To maximize the value of metal additive manufacturing, applications must be selected that leverage additive’s technical advantages and economic structure while complying with its limitations. In this course, participants will learn the technical and economic criteria used to determine if a part is a candidate for this set of technologies. Additionally, participants will learn and practice the application of a methodology to efficiently find and rank candidate parts.
Participants will receive digital access to course presentation.
By participating in this course, you will learn how to successfully:
- Identify parts that can benefit from DfAM.
- Understand the technical capabilities and limitations of metal additive manufacturing.
- Develop an economic model for candidate parts.
- Apply a methodology for selecting and ranking candidate parts.
Who should attend?
The intended audience for this class includes project managers, design engineers, operations engineers, and quality managers working with metal additive manufacturing. In selecting candidate parts for metal additive, each of these roles must provide input and understand the factors influencing the process. This is not specific to any one industry, but it is most applicable to aerospace, automotive, and medical industries.
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.
Learn more about ASME's Virtual Classroom!
Topics covered in this course include:
Introduction
- Importance of Candidate Part Selection
- Additive Manufacturing Application Strategies
Additive Manufacturing Limitations
- Design Constraints
- Technical Limitations
- Hidden Expenses
- Exercise (Identify Bad Part Features)
Additive Manufacturing Capabilities
- Technical Advantages
- Additive Manufacturing Value Drivers
- Identifying DfAM Potential
- Discussion (Improving Value with Design)
Economics of Additive Manufacturing
- Manufacturing Economics
- Lifecycle Economics
- Exercise (Build Part Cost Model)
Candidate Part Selection Methodology
- Methodology Overview
- Data Collection Approaches
- Building an Assessment Matrix
- Exercise (Rank Candidate Parts)
Joe Manzo is the CEO and co-founder of Titan Industries, a technology centric engineering firm focused on titanium additive manufacturing. Titan was created to accelerate the adoption of metal additive manufacturing within the aerospace industry while maximizing the benefits of the technology.
Joe attended Embry Riddle Aeronautical University in Daytona Beach and graduated Magna Cum Laude with a Bachelor of Science in Aerospace Engineering. After graduating in 2007, Joe began working for Orbital Sciences as an aerodynamics engineer. In 2014, Joe obtained his Professional Engineer License in Mechanical Engineering from the State of Arizona in order to pursue his own engineering firm. While working on aerospace structures at Orbital, he saw the tremendous potential of additive manufacturing and became interested in electron beam melting of titanium. He then went on to found Titan Industries.
With the experience of his team, Titan is able to specialize in design for additive manufacturing techniques with an emphasis on mass minimization methods. Titan also operated the first Arcam Q20 in the United States, through a strategic alliance with LAI International. Determined to grow the additive industry locally, Joe was named Chairman of the Arizona Technology Council’s Additive Manufacturing Committee, which has helped shape the Additive Manufacturing ecosystem in Arizona.

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