Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sintering
High-throughput (HT) chemical synthesis facilitates accelerated materials discovery products. However, HT methods are limited by the need for expensive robotic systems, complicated methodology, and low yield. Hence, we developed a hyper-heuristic combinatorial flow synthesis (HCFS) device capable of...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785423025711 |
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| author | Shakti P. Padhy Li Ping Tan Vijaykumar B. Varma V. Chaudhary Z. Tsakadze R.V. Ramanujan |
| author_facet | Shakti P. Padhy Li Ping Tan Vijaykumar B. Varma V. Chaudhary Z. Tsakadze R.V. Ramanujan |
| author_sort | Shakti P. Padhy |
| collection | DOAJ |
| description | High-throughput (HT) chemical synthesis facilitates accelerated materials discovery products. However, HT methods are limited by the need for expensive robotic systems, complicated methodology, and low yield. Hence, we developed a hyper-heuristic combinatorial flow synthesis (HCFS) device capable of composition gradient generation and production of an adequate mass of Fe–Co–Ni alloy nanoparticles. A library of 91 Fe–Co–Ni powder compositions was synthesized using this technique. A high-throughput spark plasma sintering (HT-SPS) methodology, along with the die design, was developed for combinatorial screening of multiple properties. 56 compositions were down-selected and consolidated into compositionally graded bulk samples using HT-SPS and subsequent annealing. The crystallographic, magnetic, electrical, and magnetic properties of the bulk library were assessed. The saturation magnetization (Ms) varied from 83.3 emu/g to 225.2 emu/g, coercivity (Hc) from 17.5 Oe to 78.4 Oe, resistivity (ρ) from 17.2 μΩ·cm to 986.7 μΩ·cm, and Vickers hardness (HV) from 41.9 HV to 281.7 HV. Novel Fe–Co–Ni compositions, e.g., Fe36.5Co55.1Ni8.4 and Fe22.6Co73.4Ni4, with a promising multi-property set, were identified for the first time. This study demonstrated that promising new compositions exhibiting multi-property optimization can be successfully discovered by our hyper-heuristic combinatorial chemical synthesis methodology. |
| first_indexed | 2024-03-07T23:24:06Z |
| format | Article |
| id | doaj.art-b5f6e95406d0420ab02ef27f66158024 |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-03-07T23:24:06Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-b5f6e95406d0420ab02ef27f661580242024-02-21T05:26:22ZengElsevierJournal of Materials Research and Technology2238-78542023-11-012729762988Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sinteringShakti P. Padhy0Li Ping Tan1Vijaykumar B. Varma2V. Chaudhary3Z. Tsakadze4R.V. Ramanujan5School of Materials Science and Engineering, Nanyang Technological University, 639798, SingaporeSchool of Materials Science and Engineering, Nanyang Technological University, 639798, SingaporeSchool of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore; Process Modelling, Automation and Robotisation (PROMAR) Group, Materials Research & Technology Department, Luxembourg Institute of Science and Technology, Belvaux L-4422, LuxembourgMaterials and Manufacture, Department of Industrial and Materials Science, Chalmers University of Technology, Göteborg, 41296, SwedenResidues and Resource Reclamation Centre (R3C), Nanyang Environment and Water Research Institute, Nanyang Technological University, 63714, SingaporeSchool of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore; Corresponding author.High-throughput (HT) chemical synthesis facilitates accelerated materials discovery products. However, HT methods are limited by the need for expensive robotic systems, complicated methodology, and low yield. Hence, we developed a hyper-heuristic combinatorial flow synthesis (HCFS) device capable of composition gradient generation and production of an adequate mass of Fe–Co–Ni alloy nanoparticles. A library of 91 Fe–Co–Ni powder compositions was synthesized using this technique. A high-throughput spark plasma sintering (HT-SPS) methodology, along with the die design, was developed for combinatorial screening of multiple properties. 56 compositions were down-selected and consolidated into compositionally graded bulk samples using HT-SPS and subsequent annealing. The crystallographic, magnetic, electrical, and magnetic properties of the bulk library were assessed. The saturation magnetization (Ms) varied from 83.3 emu/g to 225.2 emu/g, coercivity (Hc) from 17.5 Oe to 78.4 Oe, resistivity (ρ) from 17.2 μΩ·cm to 986.7 μΩ·cm, and Vickers hardness (HV) from 41.9 HV to 281.7 HV. Novel Fe–Co–Ni compositions, e.g., Fe36.5Co55.1Ni8.4 and Fe22.6Co73.4Ni4, with a promising multi-property set, were identified for the first time. This study demonstrated that promising new compositions exhibiting multi-property optimization can be successfully discovered by our hyper-heuristic combinatorial chemical synthesis methodology.http://www.sciencedirect.com/science/article/pii/S2238785423025711Combinatorial flow synthesisHigh throughput spark plasma sinteringMultiple property assessmentFe–Co–Ni materials librarySoft magnetic |
| spellingShingle | Shakti P. Padhy Li Ping Tan Vijaykumar B. Varma V. Chaudhary Z. Tsakadze R.V. Ramanujan Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sintering Journal of Materials Research and Technology Combinatorial flow synthesis High throughput spark plasma sintering Multiple property assessment Fe–Co–Ni materials library Soft magnetic |
| title | Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sintering |
| title_full | Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sintering |
| title_fullStr | Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sintering |
| title_full_unstemmed | Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sintering |
| title_short | Accelerated multi-property screening of Fe–Co–Ni alloy libraries by hyper-heuristic combinatorial flow synthesis and high-throughput spark plasma sintering |
| title_sort | accelerated multi property screening of fe co ni alloy libraries by hyper heuristic combinatorial flow synthesis and high throughput spark plasma sintering |
| topic | Combinatorial flow synthesis High throughput spark plasma sintering Multiple property assessment Fe–Co–Ni materials library Soft magnetic |
| url | http://www.sciencedirect.com/science/article/pii/S2238785423025711 |
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