Abstract: A method of testing a multi-specimen additive manufacturing build plate includes acquiring and installing the multi-specimen build plate in a test system, aligning one or more force exertion tools with respective selected specimens, imparting a force on the selected specimen(s), collecting test data from each selected specimen, and analyzing the collected data to identify a potential correlation between material behavior for the selected specimen and its applied manufacturing build parameter(s). A system and a non-transitory medium are also disclosed.

Abstract: A method of additive manufacturing machine (AMM) build process control includes obtaining AMM machine and process parameter settings, accessing sensor data for monitored physical conditions in the AMM, calculating a difference between expected AMM physical conditions and elements of the monitored conditions, providing the machine and process parameter settings, monitored conditions, and differences to one or more material property prediction models, computing a predicted value or range for the monitored conditions, comparing the predicted value or range to a predetermined target range, based on a determination that predicted value(s) are within the predetermined range, maintaining the machine and process parameter settings, or based on a determination that one or more of the predicted value(s) is outside the predetermined range, generating commands to compensate the machine and process parameter settings, and repeating the closed feedback loop at intervals of time during the build process.

Abstract: A method of testing a multi-specimen additive manufacturing build plate includes acquiring and installing the multi-specimen build plate in a test system, aligning one or more force exertion tools with respective selected specimens, imparting a force on the selected specimen(s), collecting test data from each selected specimen, and analyzing the collected data to identify a potential correlation between material behavior for the selected specimen and its applied manufacturing build parameter(s). A system and a non-transitory medium are also disclosed.

Abstract: A method of additive manufacturing machine (AMM) build process control includes obtaining AMM machine and process parameter settings, accessing sensor data for monitored physical conditions in the AMM, calculating a difference between expected AMM physical conditions and elements of the monitored conditions, providing the machine and process parameter settings, monitored conditions, and differences to one or more material property prediction models, computing a predicted value or range for the monitored conditions, comparing the predicted value or range to a predetermined target range, based on a determination that predicted value(s) are within the predetermined range, maintaining the machine and process parameter settings, or based on a determination that one or more of the predicted value(s) is outside the predetermined range, generating commands to compensate the machine and process parameter settings, and repeating the closed feedback loop at intervals of time during the build process.