6 research outputs found

    Investigation of Different Hatch Strategies on High Entropy Alloy Fabrication by Selective Laser Melting

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    This study investigated the synthesis of CuCrFeNiTiAl high entropy alloy (HEA) from pure elements using selective laser melting (SLM). The objectives are to validate the feasibility of the HEA fabrication from elemental powder materials, and to examine the effect of various hatch strategies and energy densities on the microstructures and other materials properties. 3D samples of CuCrFeNiTiAl alloy were fabricated under different energy densities and with different scan vector lengths. The as-built samples were characterized by X-ray diffraction (XRD), and the microstructures were observed using scanning electron microscopy (SEM). The XRD results showed that face centered cubic, and body centered cubic structures were mostly present in all samples. Analysis of SEM pictures revealed that laser energy density has a correlation with size, shape and area of grains formed. Four types of grain microstructures observed from SEM pictures are dendrites, rosette, petals, and branches type structures. The morphologies of the grain structures were greatly affected by laser scan vector length. Shorter scan vectors facilitated development of more dendritic structures, and larger grains. As the number of grains decreased due to shorter scan lengths, the micro-hardness of the as-built samples was also reduced. Moreover, shorter scan vectors improved the surface quality of the printed samples

    Direct Selective Laser Synthesis of CuCrFeNiTiAl High Entropy Alloy from Elemental Powders through Selective Laser Melting

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    This study investigated the synthesis of CuCrFeNiTiAl high entropy alloy (HEA) from pure elements using selective laser melting (SLM). The objectives are to validate the feasibility of the HEA fabrication from elemental powder materials, and to examine the effect of various process conditions in SLM, such as laser power, point distance and laser exposure time, on the microstructures formed. The as-built samples under high, medium and low energy densities were characterized by X-ray diffraction (XRD), and the microstructures were observed using scanning electron microscopy (SEM). The XRD results showed that five major crystal structure phases (hexagonal, monoclinic, orthorhombic, body-centered cubic and rhombohedral) were present in all samples. Fine-grained phases were noticed on the sample surface with non-uniform microstructural distribution. Such phases in high and low energy density samples were observed polygonal while round-shaped microstructures were observed for samples prepared under medium energy density conditions. Also, the grain size was proportional to energy levels of the fabrication process. Large size and clustered structures are prominent in samples produced under high energy density

    Understanding the interactions of MHETase and its variants on MHET and BHET substrates by Molecular Dynamics Simulations

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    We computationally investigated the interaction between MHETase_BHET and MHETase_MHET complex using molecular dynamics simulation. MHET and BHET were placed in the active site of MHETase using molecular docking. We introduced mutation in the MHETase (R411K_F424I, R411K_F424V, R411K_F424N, R411K_S416A_F424I) structure to investigate the change in interaction profile. The complexes were equilibrated at 300k, and 2 ns molecular dynamics simulation was performed for every complexes. We used RMSD, SASA, RMSF, Radius of gyration, distance tools to analyze molecular dynamics trajectory. MD analysis revealed that mutated complex (R411K/S416A/F424I) shows highest activity toward BHET where wildtype MHETase does not show any activity toward BHET. In case of MHET, wild type MHET reflects the most favorable condition for interaction between MHETase and MHET. All other mutated complexes show less activity towards MHET than wild type

    Trends in in-silico guided engineering of efficient polyethylene terephthalate (PET) hydrolyzing enzymes to enable bio-recycling and upcycling of PET

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    Polyethylene terephthalate (PET) is the largest produced polyester globally, and less than 30% of all the PET produced globally (∼6 billion pounds annually) is currently recycled into lower-quality products. The major drawbacks in current recycling methods (mechanical and chemical), have inspired the exploration of potentially efficient and sustainable PET depolymerization using biological approaches. Researchers have discovered efficient PET hydrolyzing enzymes in the plastisphere and have demonstrated the selective degradation of PET to original monomers thus enabling biological recycling or upcycling. However, several significant hurdles such as the less efficiency of the hydrolytic reaction, low thermostability of the enzymes, and the inability of the enzyme to depolymerize crystalline PET must be addressed in order to establish techno-economically feasible commercial-scale biological PET recycling or upcycling processes. Researchers leverage a synthetic biology-based design; build, test, and learn (DBTL) methodology to develop commercially applicable efficient PET hydrolyzing enzymes through 1) high-throughput metagenomic and proteomic approaches to discover new PET hydrolyzing enzymes with superior properties: and, 2) enzyme engineering approaches to modify and optimize PET hydrolyzing properties. Recently, in-silico platforms including molecular mechanics and machine learning concepts are emerging as innovative tools for the development of more efficient and effective PET recycling through the exploration of novel mutations in PET hydrolyzing enzymes. In-silico-guided PET hydrolyzing enzyme engineering with DBTL cycles enables the rapid development of efficient variants of enzymes over tedious conventional enzyme engineering methods such as random or directed evolution. This review highlights the potential of in-silico-guided PET degrading enzyme engineering to create more efficient variants, including Ideonella sakaiensis PETase (IsPETase) and leaf-branch compost cutinases (LCC). Furthermore, future research prospects are discussed to enable a sustainable circular economy through the bioconversion of PET to original or high-value platform chemicals

    The Tenth Visual Object Tracking VOT2022 Challenge Results

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