Introducing transformation-induced plasticity(TRIP)effect into bulk metallic glass composites(BMGCs)is an effective route to improve their ductility and strain-hardening ability.Since the morphology and structure of t...Introducing transformation-induced plasticity(TRIP)effect into bulk metallic glass composites(BMGCs)is an effective route to improve their ductility and strain-hardening ability.Since the morphology and structure of the crystalline austenite phases responsible for the TRIP phenomenon are strongly dependent on the alloy composition and cooling rate during freezing,distinguishing the optimal cases from a vast variety of candidates is the primary task of exploring TRIP BMGCs.However,without a suitable theoretical guidance,the exploration of BMGCs is usually performed via the traditional trial-and-error route,making the BMGC development extremely time consuming and labor intensive.Here,we present a novel high-throughput strategy to accelerate the exploration process of TRIP BMGCs.The efficiency of this strategy was demonstrated on a well-studied Cu-Zr-Al alloy system.A screening library,comprised by121 cylindrical samples with different conditions,was rapidly prepared by laser additive manufacturing(LAM).The phases of the library were efficiently identified by micro-area X-ray diffraction(M-XRD)to screen the optimal compositions and cooling rates that precipitate only B2-Cu Zr phase.The distribution uniformity of the B2-Cu Zr phase was further evaluated based on digital image processing technology to screen the candidates of better ductility.The high-throughput results are in good agreement with the previous casting investigations of discrete samples,confirming the validity of the present high-throughput strategy.展开更多
基金the National Natural Science Foundation of China under Grant Nos.51671042,51671043,51675074 and 51971047the project of Liaoning Province’s“rejuvenating Liaoning talents plan”under Grant No.XLYC1907046+4 种基金the Program for Innovative Talents of Liaoning Higher Education Institution under Grant No.LR2018014the Natural Science Foundation of Liaoning Province under Grant No.2019-MS-034the Joint Research Fund Liaoning-Shenyang National Laboratory for Materials Science under Grant No.2019JH3/30100032Dalian Science and Technology Innovation Fund Project under Grant No.2018J11CY027the Dalian Support Plan for Innovation of High-level Talents under Grant No.2018RQ07。
文摘Introducing transformation-induced plasticity(TRIP)effect into bulk metallic glass composites(BMGCs)is an effective route to improve their ductility and strain-hardening ability.Since the morphology and structure of the crystalline austenite phases responsible for the TRIP phenomenon are strongly dependent on the alloy composition and cooling rate during freezing,distinguishing the optimal cases from a vast variety of candidates is the primary task of exploring TRIP BMGCs.However,without a suitable theoretical guidance,the exploration of BMGCs is usually performed via the traditional trial-and-error route,making the BMGC development extremely time consuming and labor intensive.Here,we present a novel high-throughput strategy to accelerate the exploration process of TRIP BMGCs.The efficiency of this strategy was demonstrated on a well-studied Cu-Zr-Al alloy system.A screening library,comprised by121 cylindrical samples with different conditions,was rapidly prepared by laser additive manufacturing(LAM).The phases of the library were efficiently identified by micro-area X-ray diffraction(M-XRD)to screen the optimal compositions and cooling rates that precipitate only B2-Cu Zr phase.The distribution uniformity of the B2-Cu Zr phase was further evaluated based on digital image processing technology to screen the candidates of better ductility.The high-throughput results are in good agreement with the previous casting investigations of discrete samples,confirming the validity of the present high-throughput strategy.
