ABSTRACT
15Bone replacement implants manufactured by electron beam melting have been widely studied for use in bone tumor treatment. In this application, a hybrid structure implant with a combination of solid and lattice structures guarantees strong adhesion between bone and soft tissues. This hybrid implant must exhibit adequate mechanical performance so as to satisfy the safety criteria considering repeated weight loading during the patient's lifetime. With a low volume of a clinical case, various shape and volume combinations, including both solid and lattice structures, should be evaluated to provide guidelines for implant design. This study examined the mechanical performance of the hybrid lattice by investigating two shapes of the hybrid implant and volume fractions of the solid and lattice structures, along with microstructural, mechanical, and computational analyses. These results demonstrate how hybrid implants may be designed to improve clinical outcomes by using patient-specific orthopedic implants with optimized volume fraction of the lattice structure, allowing for effective enhancement of mechanical performance as well as optimized design for bone cell ingrowth.
ABSTRACT
Chemical short-range order in disordered solid solutions often emerges with specific heat treatments. Unlike thermally activated ordering, mechanically derived short-range order (MSRO) in a multi-principal-element Fe40Mn40Cr10Co10 (at%) alloy originates from tensile deformation at 77 K, and its degree/extent can be tailored by adjusting the loading rates under quasistatic conditions. The mechanical response and multi-length-scale characterisation pointed to the minor contribution of MSRO formation to yield strength, mechanical twinning, and deformation-induced displacive transformation. Scanning and high-resolution transmission electron microscopy and the anlaysis of electron diffraction patterns revealed the microstructural features responsible for MSRO and the dependence of the ordering degree/extent on the applied strain rates. Here, we show that underpinned by molecular dynamics, MSRO in the alloys with low stacking-fault energies forms when loaded at 77 K, and these systems that offer different perspectives on the process of strain-induced ordering transition are driven by crystalline lattice defects (dislocations and stacking faults).
ABSTRACT
Arsenic contamination is a global problem, as it affects the health of millions of people. For this study, data-driven artificial neural network (ANN) software was developed to predict and validate the removal of As(V) from an aqueous solution using graphene oxide (GO) under various experimental conditions. A reliable model for wastewater treatment is essential in order to predict its overall performance and to provide an idea of how to control its operation. This model considered the adsorption process parameters (initial concentration, adsorbent dosage, pH, and residence time) as the input variables and arsenic removal as the only output. The ANN model predicted the adsorption efficiency with high accuracy for both training and testing datasets, when compared with the available response surface methodology (RSM) model. Based on the best model synaptic weights, user-friendly ANN software was created to predict and analyze arsenic removal as a function of adsorption process parameters. We developed various graphical user interfaces (GUI) for easy use of the developed model. Thus, a researcher can efficiently operate the software without an understanding of programming or artificial neural networks. Sensitivity analysis and quantitative estimation were carried out to study the function of adsorption process parameter variables on As(V) removal efficiency, using the GUI of the model. The model prediction shows that the adsorbent dosages, initial concentration, and pH are the most influential parameters. The efficiency was increased as the adsorbent dosages increased, decreasing with initial concentration and pH. The result show that the pH 2.0-5.0 is optimal for adsorbent efficiency (%).
Subject(s)
Arsenic , Water Pollutants, Chemical , Adsorption , Humans , Hydrogen-Ion Concentration , Kinetics , Neural Networks, Computer , Software , Water Pollutants, Chemical/analysisABSTRACT
The correlation between microstructure and tensile properties of selective laser melting (SLM) processed STS 316L and Inconel 718 were investigated at various heights (top, middle and bottom) and planes (YZ, ZX and XY). Columnar grains and dendrites were formed by directional growth during solidification. The average melt pool width and depth, and scan track width were similar in both specimens due to fixed processing parameters. SLM Inconel 718 has moderate tensile strength (1165 MPa) and tensile elongation (11.5%), whereas SLM STS 316L has outstanding tensile strength (656 MPa) and tensile elongation (75%) compared to other SLM processed STS 316L. Fine columnar diameter (0.5 µm) and dense microstructures (porosity: 0.35%) in SLM STS 316L promoted the enhancement of tensile elongation by suitable processing condition. Fractographic analysis suggested that the lack of fusion pore with unmelted powder should be avoided to increase tensile properties by controlling processing parameters.
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The microstructural evolution of Al-Zn-Mg-Cu alloys has been investigated for the homogenization time effect on the texture, grain orientation and dislocation density. The Al-Zn-Mg-Cu alloys were casted and homogenized for 4, 8, 16 and 24 hours. Electron backscatter diffraction (EBSD) analysis was conducted to characterize the microstructural behavior. Micropillars were fabricated using focused ion beam (FIB) milling in grains of specific crystallographic orientations. Coarse precipitations in the grain boundaries are S (Al2CuMg) and T (Al2Mg3Zn3) phases verified by scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS) observation. With increasing homogenization time, equiaxed cell sizes increased. The volume fraction of S and T phases decreased with the diffusion of atomic elements into matrix. The Vickers hardness and tensile strength values decreased with homogenization temperature. The micropillar compression analysis was compared to macro tensile test results to understand the size effect and strain burst phenomenon on the mechanical properties of Al-Zn-Mg-Cu alloys.
ABSTRACT
AIM: Most heel pain occurs at the posterior or plantar aspect, where main entheses of the heel are located. However, simple radiographs as basic work-up tools, their features based on their association with local symptoms in the heel in ankylosing spondylitis (AS) patients, have rarely been described. METHOD: Forty patients with AS and unilateral heel pain were enrolled to evaluate radiographic differences between symptomatic and asymptomatic heels. The two groups were assessed according to symptom location: posterior (group PS) or plantar (group PL). Typical abnormalities in bone and/or soft tissue on the heel due to inflammation were compared. RESULTS: In group PS (20 cases), 19 (95%) symptomatic feet and 7 (35%) asymptomatic feet showed abnormal findings on the posterior heel and symptomatic feet showed 6 (30%) plantar abnormalities. Erosion of the posterior calcaneal tuberosity, obliteration of the retrocalcaneal recess (RR), and swelling shadows with increased thickness on posterior soft tissue were observed more frequently and significantly in symptomatic feet in group PS (P < 0.05). In group PL (20 cases), 11 (55%) symptomatic feet and 8 (40%) asymptomatic feet showed abnormalities on the plantar heel and symptomatic feet showed 14 (70%) posterior abnormalities, and none showed significant differences between symptomatic and asymptomatic feet. CONCLUSION: Among simple radiographic alterations on heels with AS, such changes around the enthesis of the Achilles as bony erosion and RR obliteration with swollen posterior soft tissue are strongly related to current painful posterior heels. Assessment of enthesitis of the Achilles tendon in AS using plain radiography seems to be valid.