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About This Webinar
Currently, there are only a handful of alloys qualified for printing with AM technology and the majority of these are pursued due to their utilization in conventional manufacturing. However, there is tremendous benefit in developing and qualifying novel alloys, specifically designed to take advantage of unique microstructure produced with AM processes. The bottleneck in such a development is speed and cost of developing optimum print parameters to produce defect-free parts.

The pyramidal parameter development scheme for print recipe optimization can be a slow and expensive process and involves characterization on hundreds of coupons over multiple builds. Analysis of builds of optimizing porosity, cracks, deformation, surface roughness and micro-structure can take a number of months to complete—and at this rate, the development of novel AM-specific alloys can be very slow and cost prohibitive.

Zeiss and Oak Ridge National Laboratory (ORNL), working together at ORNL's Manufacturing Demonstration Facility, are developing a novel, fully-automated solution to comprehensively evaluate a set of parameters in a day. Using Zeiss ParAM (a parameter selection process for additive manufacturing), Zeiss and ORNL have decreased the time necessary for testing. Besides qualifying novel alloys, the rapid parameter development process can also aid in increasing the speed and economy of the additive manufacturing to make the process cost-competitive to the traditional manufacturing process.

Presented by:

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Agenda
  • Automated comprehensive print parameter qualification workflow
  • Advantages of printing with novel AM-specific alloys
  • Significantly reduce characterization time and number of builds needed to develop optimized print recipe
Presenters
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Pradeep Bhattad, Ph.D.
Business Development Manager, Zeiss Industrial Quality Solutions
Pradeep Bhattad works for the Zeiss Industrial Quality Solutions division focusing on quality-related issues in additive manufacturing. He received his Ph.D. in chemical engineering from Louisiana State University and for the past 14 years has worked on the development and implementation of correlative imaging (CMM, 3D scanner, X-ray CT, SEM, optical, etc.) and analysis in additive manufacturing and the oil and gas industry. His current work, in collaboration with Oak Ridge National Lab, focuses on fast and comprehensive production and inspection workflow using a feedback loop to accelerate the path from concept to production.
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Ryan Dehoff, Ph.D.
Section Head - Secure and Digital Manufacturing; Manufacturing Science Division, Oak Ridge National Laboratory
Dr. Ryan Dehoff is the section head of the secure and digital manufacturing section for Oak Ridge National Laboratory. Dr. Dehoff facilitates the development of additive manufacturing of components, utilizing various techniques including electron beam melting, laser metal deposition and directed energy deposition among others. He is working to integrate the digital thread into manufacturing for the certification and qualification of advanced-manufactured components. He joined ORNL in 2009 after completing his Ph.D. in materials science and engineering from Ohio State University.
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