An automated computational framework to construct printability maps for additively manufactured metal alloys  

作　　者：Sofia Sheikh Brent Vela Pejman Honarmandi Peter Morcos David Shoukr Ibrahim Karaman Alaa Elwany Raymundo Arróyave 

机构地区：[1]Department of Materials Science and Engineering,Texas A&M University,College Station,TX,USA [2]Department of Industrial and Systems Engineering,Texas A&M University,College Station,TX,USA

出　　处：《npj Computational Materials》2024年第1期569-587,共19页计算材料学(英文)

基　　金：funded by the Army Research Office(ARO)under Contract No.W911NF-18-1-0278;PH and RA also acknowledge the support of NSF,United States,through Grant No.1849085;BV and SS acknowledge Grant no.NSF-DGE-1545403(NSF-NRT:Data-Enabled Discovery and Design of Energy Materials,D^(3)EM);The authors would also like to acknowledge the NASA-ESI Program under Grant Number 80NSSC21K0223。

摘　　要：In metal additive manufacturing(AM),processing parameters can affect the probability of macroscopic defect formation(lack-of-fusion,keyholing,balling),which can,in turn,jeopardize the final product’s integrity.A printability map classifies regions in the processing space where an alloy can be printed with or without porosity defects.However,the creation of these printability maps is resource-intensive.Previous efforts to generate printability maps have required single-track experiments on pre-alloyed powder,limiting the utilization of these printability maps for the high-throughput design of printable alloys.

关 键 词：ADDITIVE POROSITY LIMITING 

分 类 号：TS7[轻工技术与工程—制浆造纸工程]