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PowderMet2024 and AMPM2024 Technical Programs Organized

   

The Technical Program Committees for PowderMet2024 and AMPM2024 met recently to assemble the program for the June 16–19 conferences in Pittsburgh. Over 80 industry experts met to review abstracts. The results of the committees’ diligent work is a strong technical program that hasn’t been seen in Pittsburgh since 1990!

Individual tutorials on press & sinter, metal additive manufacturing, and metal injection molding will be included as part of the conference registration. Additionally, a carbide track will be provided to attract the carbide industry and introduce them to the latest PM technologies.

Penn State DuBois Partners with Local High School


Penn State DuBois die setting instructor George Schneider, left, works with Saint Marys Area High School student Dakota Larkham to measure one of the parts produced during the high school die setter training program. 

A partnership between Penn State DuBois, the Saint Marys Area School District and Workforce Solutions for North Central Pennsylvania is helping build the workforce of tomorrow for the local metal manufacturing industry by helping students gain die-setting experience.

New MPIF Standard 35-SP Materials Standard Released

The 2024 edition of MPIF Standard 35-SP – Materials Standards for PM Structural Parts has been released. This Standard is a must-have document and provides the design and materials engineer with the latest engineering property data and information available to specify materials for structural parts made using the PM process.

Each user-friendly section of the Standard is clearly distinguished by easy-to-read data tables (Inch-Pound and SI units) and provides explanatory information for each material listed. 
 

Advanced Flaw Detection for Additive Manufacturing

Oak Ridge National Laboratory (ORNL), Oak Ridge, Tennessee, researchers have reportedly improved flaw detection in laser beam powder bed fusion (PBF-LB) metal parts through a method that combines post-production inspection of the manufactured part with data gathered from sensors during the build process.

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