Webinar - Najib Baig


THu, Oct 04

  • LA: 08:00
  • New York: 11:00
  • London: 16:00
  • Paris: 17:00

How to minimize trial-and-error in additive manufacturing qualification

How to minimize trial-and-error in additive manufacturing qualification


Guest speakers: ANSYS

Achieving the full potential of Additive Manufacturing (AM) is dependent on the insight you can gain from well-managed project data combined with the right simulation and analysis. The right strategy can reduce costly trial-and-error, and qualify AM parts faster. Granta and ANSYS have agreed to partner up to provide powerful combined solution for Additive Manufacturing simulation and data management. In this webinar, with guest speakers Brent Stucker and Zack Francis, from ANSYS, the first phase of our joint solution will be presented along with the roadmap for further development.

What you will learn

  • Understand how best practice AM data management and simulation can help you optimize the AM process with full traceability and support digital thread and digital twin
  • Learn how to set-up AM process simulation models using ANSYS
  • Apply automatically-generated simulation material models, supported by complete pedigree information from GRANTA MI
  • Validate simulation and calibrate AM processes through effective comparison of simulation results with empirical tests
  • Hear about best practice for managing process data from the entire AM lifecycle, including powders, builds, parts, tests, and simulation.

Who should take part?

  • AM project managers
  • AM specialists
  • Key stakeholders in engineering management, such as VPs, manufacturing engineers, materials engineers, and simulation engineers.

About the presenters

Dr. Brent Stucker Brent Stucker, Ph.D. is director of Additive Manufacturing (AM) at ANSYS. He was the first chairman for ASTM International Committee F42 on Additive Manufacturing Technologies, and was elected to the ASTM International Board of Directors in 2015. He has received numerous AM awards, holds various patents, has authored and co-authored over 200 technical publications on AM, and presented over 250 technical talks. He was a professor from 1997-2015, with various appointments at the University of Louisville, Utah State University, the University of Rhode Island, and VTT Technical Research Center, Finland.
Zack Francis Zack Francis is a developer on the additive manufacturing team at ANSYS, where he works on validating the software against experimental results as well as expanding the applications of additive manufacturing simulation. Zack has also worked with customers to guide their use of ANSYS AM simulation capabilities to identify and mitigate issues in the additive build process, reducing costly trial and error.
Najib Baig Najib Baig is responsible for product management and strategic product direction at Granta Design – the materials information technology company. Specific responsibilities include the Product Management of Granta’s Materials Innovation products, including Additive Manufacturing, Simulation and Composites. He has worked with dozens of leading engineering organizations – in aerospace, automotive and other industries – to solve challenges related to materials and process information management.

How to register and join the session

There is no cost but registration is required through the WebEx system. Please ensure you set your local time zone to receive accurate meeting invitations and test your setup in advance of the meeting. How to use WebEx, including setting times zone & language preferences 


GRANTA MI is the leading system for enterprise materials information management. A single ‘gold source’ for all of your materials data saves time, cuts costs, and eliminates risk. Apps, tools to capture and re-use knowledge, and support for CAD, CAE, and PLM all help you to drive material innovation, empower design, and solve materials-related business problems. Arrange a demonstration to see what we mean.

Discover GRANTA MI 

About Granta Design

Granta Design is the leader in materials information technology, helping engineering enterprises to manage vital data and information about materials, analyze it to develop ‘material intelligence’, and apply that intelligence to make smart decisions across product design and development. We support the entire product life-cycle by integrating materials knowledge into design, simulation, and PLM, supporting 'cradle-to-cradle' product engineering.