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Introduction to Morf3D, Inc. Melissa Orme, PhD Chief Technology Officer About Morf3D Innovation Center Morf3D has been in this El Segundo Facility since September 2015 9 employees, entirely self funded by CEO Ivan Madera AS9100

  1. Introduction to Morf3D, Inc. Melissa Orme, PhD Chief Technology Officer

  2. About Morf3D Innovation Center • Morf3D has been in this El Segundo Facility since September 2015 • 9 employees, entirely self funded by CEO Ivan Madera • AS9100 & ISO 9001 certified • Predominantly serves the local Aerospace and Defense Industry in development proj ojects • Is Is not ot a a se service bureau (do not operate with the m.o. of send us a drawing and we will send you a quote) • Operates in a hig ighly ly coll ollaborativ ive envir vironment with engineering structural designers

  3. Holistic Process Flow • Morf3D offers the complete Additive Manufacturing lifecycle: – Candidate part selection – Topology optimization – FEM design verification – Additive Manufacturing – Mechanical and Material Verification Candidate Topology FEM Mechanic & Additive Part Optimization Design Material Manufacturing Selection for AM Verification Verification

  4. About Morf3D Innovation Center Industry Partners

  5. About Morf3D Innovation Center • Development projects often run many weeks and include build parameter development and De Desi sign for or Additive Man anufacturing . • Once the build parameters have been established for op optimum com omponent str trength an and densi sity, they are locked and unchanged for scaled production • It is the intent of Morf3D to scale le to production capacity at another location, maintaining the El Segundo facility for development work and research.

  6. Additive Manufacturing: Direct Metal Laser Sintering

  7. Additive Manufacturing: Technology Adoption Drivers • Shorten R & D Time • Light-Weight Structures • Part Consolidation • Added Functionality • Complex Geometry • Customized Products • Reduced Material Utilization

  8. Additive Manufacturing: Technology Adoption Hurdles • High Stakes Involved • Relatively New Technology • Requires New Design for Additive • Requires Reliable Production • Requires Reliable Metallurgy

  9. Industry Partner Case Study: Implementation of Holistic Process Flow FEM Design Topology Additive Verification Optimization Manufacturing Candidate Mechanical Part & Material Selection Verification

  10. Topology Optimization Examples Candidate Topology FEM Mechanic & Additive Part Optimization Design Material Manufacturing Selection for AM Verification Verification

  11. Validation and Qualification Material Verification • Ultimate strength, yield strength, elongation, and density Process Qualification • Internal defect identification with CT scanning (also possible with radiography, Eddy current testing, or ultrasound) Geometric Qualification • Examination for warpage or shrinkage with CMM, laser scanning, or CT scanning Component Qualification • Dependent on function of part: possibilities include thermal cycling, quasi-static, low level sine, high level sine, random spectrum, rupture testing and burst testing.

  12. Community Outreach Enab ablin ing the the fu futu ture • Training & ins inspir irin ing ne new tale alent in Additive Manufacturing • Senior pr proje oject men entor orin ing and project support • Summer inter ernships

  13. Morf3D is also the founder and host of AM3D Los Angeles Forum • To fos oster r ed educ ucatio ion and training in AM – University level – Industrial level • To fac acil ilitate com ommunic icatio ion & colla ollaboratio ion for the advancement of Additive Manufacturing in our local eco-system • To provide opp opportu tunit itie ies for or shar sharin ing scientific and technical breakthroughs, ideas and methods for overcoming industry hurdles, mutual support & encouragement. • To pr provi vide a a supp support rtiv ive infr frastructure designed to enable the development of partnerships between academia and industry to help drive the adoption of Additive Manufacturing.

  14. Local AM Eco-System • Why is it important? – Kno nowledge of of loc local l reso esources (machine capabilities, testing equipment, human expertise) • How can it be beneficial? – Sha harin ing of of reso esources , e.g., testing equipment, post processing equipment, expertise – Sha harin ing of of resu esult lts , e.g., data (not necessarily parameters) – Dis issemin inatio ion of latest research papers and conference presentations – Col olla laborativ ive pr propo oposal opp opportu tunit itie ies (e.g., SBIR/STTR) – Outs utsourcin ing of of cap apabil ilitie ies • Build a collective roadmap for the future of AM.

  15. Thank you for your attention!

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