Study on the antibacterial mechanism of Cu-bearing titanium alloy in the view of materials science

2019 ◽  
Vol 35 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Zheng Ma ◽  
Rui Liu ◽  
Ying Zhao ◽  
Ling Ren ◽  
Ke Yang
Keyword(s):  
Titanium Alloy ◽  
Materials Science ◽  
Antibacterial Mechanism

scholarly journals Analisa Kekasaran Permukaan Titanium Grade 2 pada Proses Frais

2020 ◽  
Vol 8 (2) ◽  
pp. 53
Author(s):  
AM. Mufarrih ◽  
Moh. Nasir Hariyanto ◽  
Nanang Qosim
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Materials Science ◽  
Cutting Parameters ◽  
Advanced Manufacturing Technology ◽  
P Value ◽  
Advanced Manufacturing ◽  
Multi Objective ◽  
Hard Materials ◽  
Titanium Grade

 Titanium Grade 2 termasuk jenis bahan yang sering dipergunakan di industri, utamanya pada bahan untuk implan biomedis. Titanium Grade 2 mempunyai sifat perbandingan kekakuan terhadap berat yang baik, tahan terhadap korosi dan memiliki sifat biokompatibel yang baik di dalam tubuh. Namun memiliki konduktifitas panas yang rendah, sehingga perlu memilih perameter pemesinan yang tepat untuk menghasilkan nilai kekasaran permukaan yang baik. Penelitian ini bertujuan untuk mengetahui karakteristik Titanium Grade 2 yaitu kekasaran permukaan hasil pemesinan frais. Desain penelitian menggunakan metode Taguchi L9, dengan 2 faktor dan 3 level. Parameter pemesinan yang digunakan ialah putaran spindel 500; 700; 900 rpm dan kecepatan pemakanan 25; 50; 75 mm/menit. Variabel respon yang diteliti ialah kekasaran permukaan. Proses frais dilakukan menggunakan Mesin CNC Dahlih. Kekasaran permukaan diukur menggunakan Mitutoyo surface roughess tester. Analisis data menggunakan analisis ANOVA. Hasil penelitian menunjukan bahwa ada pengaruh variasi parameter pemesinan terhadap respon kekasaran permukaan. Variabel putaran spindel mempunyai p-value sebesar 0,039 dan variabel gerak makan memiliki p-value sebesar 0,025. Hal ini menunjukkan bahwa kedua variabel bebas tersebut memiliki pengaruh yang signifikan terhadap respon kekasaran permukaan. Kekasaran permukaan terendah dapat dicapai dengan pengaturan putaran spindel sebesar 700 rpm dan kecepatan pemakanan sebesar 25 mm/menit. Kata kunci: titanium grade 2, kekasaran permukaan, frais, anova Daftar RujukanBagno, A., & Di Bello, C. (2004). Surface treatments and roughness properties of Ti-based biomaterials. Journal of Materials Science: Materials in Medicine. https://doi.org/10.1023/B:JMSM.0000042679.28493.7fBruce, 2011. (2013). Analisis Kekasaran Permukaan Dan Getaran Pada Pemesinan Bubut Menggunakan Pahat Putar Modular (Modular Rotary Tools) Untuk Material Titanium 6Al-4V Eli. Journal of Chemical Information and Modeling. https://doi.org/10.1017/CBO9781107415324.004Davim, J. P. (2011). Machining of hard materials. Machining of Hard Materials. https://doi.org/10.1007/978-1-84996-450-0Ganguli, S., & Kapoor, S. G. (2016). Improving the performance of milling of titanium alloys using the atomization-based cutting fluid application system. Journal of Manufacturing Processes. https://doi.org/10.1016/j.jmapro.2016.05.011Karkalos, N. E., Galanis, N. I., & Markopoulos, A. P. (2016). Surface roughness prediction for the milling of Ti-6Al-4V ELI alloy with the use of statistical and soft computing techniques. Measurement: Journal of the International Measurement Confederation. https://doi.org/10.1016/j.measurement.2016.04.039Kiswanto, G., Mandala, A., Azmi, M., & Ko, T. J. (2020). The effects of cutting parameters to the surface roughness in high speed cutting of micro-milling titanium alloy ti-6al-4v. Key Engineering Materials, 846 KEM, 133–138. https://doi.org/10.4028/www.scientific.net/KEM.846.133Mufarrih, A., Istiqlaliyah, H., & Ilha, M. M. (2019). Optimization of Roundness, MRR and Surface Roughness on Turning Process using Taguchi-GRA. In Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1179/1/012099Nithyanandam, J., Das, S. L., & Palanikumar, K. (2015). Inluence of Cutting Parameters in Machining of Titanium Alloy. Indian Journal of Science and Technology, 8(8), 556–562. https://doi.org/10.17485/ijst/2015/v8i/71291Oshida, Y. (2012). Bioscience and Bioengineering of Titanium Materials: Second Edition. Bioscience and Bioengineering of Titanium Materials: Second Edition. https://doi.org/10.1016/C2011-0-07805-5Setyowidodo, I., Sutanto, S., Mufarrih, A., & Sholehah, I. M. (2020). Exhaust temperature and peltier element optimization of thermoelectric generator output. In IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899X/850/1/012007Shucai, Y., Chunsheng, H., & Minli, Z. (2019). A prediction model for titanium alloy surface roughness when milling with micro-textured ball-end cutters at different workpiece inclination angles. International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-018-2852-6Soepangkat, B. O. P., Pramujati, B., Effendi, M. K., Norcahyo, R., & Mufarrih, A. M. (2019). Multi-objective Optimization in Drilling Kevlar Fiber Reinforced Polymer Using Grey Fuzzy Analysis and Backpropagation Neural Network–Genetic Algorithm (BPNN–GA) Approaches. International Journal of Precision Engineering and Manufacturing. https://doi.org/10.1007/s12541-019-00017-zTapiero, H., Townsend, D. M., & Tew, K. D. (2003). Trace elements in human physiology and pathology. Copper. Biomedicine and Pharmacotherapy. https://doi.org/10.1016/S0753-3322(03)00012-XThepsonthi, T., & Özel, T. (2012). Multi-objective process optimization for micro-end milling of Ti-6Al-4V titanium alloy. International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-012-3980-zWennerberg, A., & Albrektsson, T. (2009). Effects of titanium surface topography on bone integration: A systematic review. Clinical Oral Implants Research. https://doi.org/10.1111/j.1600-0501.2009.01775.x 

Consolidation of Titanium, and Ti-6Al-4V Alloy Powders by Powder Compact Forging

2009 ◽  
Vol 618-619 ◽  
pp. 513-516 ◽  
Author(s):  
De Liang Zhang ◽  
Stella Raynova ◽  
Vijay Nadakuduru ◽  
Peng Cao ◽  
Brian Gabbitas ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Titanium Alloy ◽  
Powder Compact ◽  
Materials Science ◽  
Value Added ◽  
Cost Effective ◽  
Porosity Level ◽  
Open Die Forging ◽  
Powder Compacts ◽  
Limited Depth

Consolidation of titanium and titanium alloy powders using thermomechanical powder metallurgy (TPM) processes (powder compact forging, extrusion and rolling) is one way that can lead to cost-effective production of high value-added consolidated titanium and titanium alloy products such as near-net shaped components, tubes and plates. This paper provides an overview of the quality, microstructure (to limited depth), porosity level and mechanical properties of disks produced using open die forging of powder compacts of CP titanium and Ti-6Al-4V alloy powders. The general materials science principles underlying the relationships between processing conditions, microstructure and the mechanical properties of the disks made by using the powder compact forging are discussed.

scholarly journals Optimization of process parameters for turning of titanium alloy (Grade II) in MQL environment using multi-CI algorithm

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Apoorva Shastri ◽  
Aniket Nargundkar ◽  
Anand J. Kulkarni ◽  
Luigi Benedicenti
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Tool Wear ◽  
Cutting Force ◽  
Process Parameters ◽  
Optimization Algorithm ◽  
Materials Science ◽  
Industrial Applications ◽  
Contact Length ◽  
Grade Ii

AbstractThe advancement of materials science during the last few decades has led to the development of many hard-to-machine materials, such as titanium, stainless steel, high-strength temperature-resistant alloys, ceramics, refractories, fibre-reinforced composites, and superalloys. Titanium is a prominent material and widely used for several industrial applications. However, it has poor machinability and hence efficient machining is critical. Machining of titanium alloy (Grade II) in minimum quantity lubrication (MQL) environment is one of the recent approaches towards sustainable manufacturing. This problem has been solved using various approaches such as experimental investigation, desirability, and with optimization algorithms. In the group of socio-inspired optimization algorithm, an artificial intelligence (AI)-based methodology referred to as Cohort Intelligence (CI) has been developed. In this paper, CI algorithm and Multi-CI algorithm have been applied for optimizing process parameters associated with turning of titanium alloy (Grade II) in MQL environment. The performance of these algorithms is exceedingly better as compared with particle swarm optimization algorithm, experimental and desirability approaches. The analysis regarding the convergence and run time of all the algorithms is also discussed. It is important to mention that for turning of titanium alloy in MQL environment, Multi-CI achieved 8% minimization of cutting force, 42% minimization of tool wear, 38% minimization of tool-chip contact length, and 15% minimization of surface roughness when compared with PSO. For desirability and experimental approaches, 12% and 8% minimization of cutting force, 42% and 47% minimization of tool wear, 53% and 40% minimization of tool-chip contact length, and 15% and 20% minimization of surface roughness were attained, respectively.

scholarly journals Micro-Arc Zn- and Ag-Containing Coatings for Implants with Complex Porous Architecture Obtained by 3D Printing Method from Titanium Alloy

2020 ◽  
Vol 26 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Yu. P. Sharkeev ◽  
M. B. Sedelnikova ◽  
T. V. Tolkacheva ◽  
N. A. Shcheglova ◽  
A. A. Panchenko ◽  
...  
Keyword(s):  
Titanium Alloy ◽  
Calcium Phosphate ◽  
Materials Science ◽  
Calcium Phosphates ◽  
Microarc Oxidation ◽  
Cellular Respiration ◽  
Alkaline Electrolyte ◽  
Cultured Fibroblasts ◽  
Porous Architecture ◽  
Direct Laser

Relevance. The creation of porous three-dimensional materials for bone defects compensation and its subsequent regeneration is an important direction of medical materials science. The key issue in the interaction of an implant and bone tissue is the surface properties of the implant.The purpose of the study is to evaluate the physicochemical properties and compatibility of tissues of a living organism and porous implants with calcium phosphate Zn- and Ag-containing formed by microarc oxidation.Materials and Methods. Implants with various types of porous structure were made by direct laser sintering of titanium alloy Ti-6Al-4V powders. The calcium phosphate coatings, including Zn- and Ag-containing, were formed on the implants surface by microarc oxidation.Results. Coatings, deposited in electrolytes of various compositions, were uniformly distributed over the implants mesh structure. The phase composition of Zn-containing coatings, deposited in the acidic electrolyte, was represented by amorphous calcium phosphates. Ag-containing coatings, deposited in the alkaline electrolyte, had an amorphous-crystalline structure, the crystalline phase of which was identified as tricalcium phosphate in the α and β modifications. The samples of extracts of calcium phosphate Zn and Ag-containing coatings were co-cultured with pFb line of the human postnatal fibroblasts for 48 hours at 37°C in 5% CO2 atmosphere. The MTT test revealed a high metabolic activity of the co-cultured fibroblasts in comparison with the fibroblasts of control.Conclusion. The pFb line of the human postnatal fibroblasts retained their viability for 48 hours of co-culturing with calcium-phosphate Zn- and Ag-containing coatings. The tested product and its components did not negatively affect the cellular respiration. However, further studies are needed to determine the rate of bioresorption and the degree of antibacterial activity of calcium-phosphate Zn- and Ag-containing coatings.

Determination of the best microstructure and titanium alloy powders properties using neural network

2018 ◽  
Vol 1 (87) ◽  
pp. 25-31
Author(s):  
Z.A. Duriagina ◽  
R.O. Tkachenko ◽  
A.M. Trostianchyn ◽  
I.A. Lemishka ◽  
A.M. Kovalchuk ◽  
...  
Keyword(s):  
Neural Network ◽  
Titanium Alloy ◽  
Phase Composition ◽  
Granulometric Composition ◽  
Titanium Powder ◽  
Materials Science ◽  
Partial Replacement ◽  
Micromechanical Properties ◽  
Powder Alloys ◽  
Software Product

Purpose: Create a software product using a probabilistic neural network (PNN) and database based on experimental research of titanium alloys to definition of the best microstructure and properties of aerospace components. Design/methodology/approach: The database creation process for artificial neural network training was preceded by the investigation of the granulometric composition of the titanium powder alloys, study of microstructure, phase composition and evaluation of micromechanical properties of these alloys by the method of material plasticity estimation in the conditions of hard pyramidal indenters application. A granulometric analysis was done using a special complex of materials science for the images analysis ImageJ. Metallographic investigations of the powder structure morphology were carried out on the scanning electron microscope EVO 40XVP. Specimens for micromechanical testing were obtained by overlaying the titanium alloy powders on the substrate made of the material close to chemical composition. Substrates were prepared by pressing the powder mixture under the load of 400 MPa and following sintering at 1300°C for 1 hour. Overlaying was performed by an electron gun ELA-6 (beam current – 16 mA). Findings: According to the modelling results, a threshold of the PNN accuracy was established to be over 80%. A high level of experimental data reproduction allows us a full or partial replacement of a number of experimental investigations by neural network modelling, noticeably decreasing, in this case, the cost of the material creation possessing the preset properties with preserved quality. It is expected that this software can be used for solving other problems in materials science too. Research limitations/implications: The accuracy of the PNN algorithm depends on the number of input parameters obtained experimentally and forms a database for the training of the system. For our case, the amount of input data is limited. Practical implications: Previously trained system based on the PNN algorithm will reduce the number of experiments that significantly reduce costs and time to study. Originality/value: A software product on the basis of the PNN network was developed. The training sample was built based on a series of laboratory studies granulometric composition of the titanium powder alloys, study of microstructure, phase composition and evaluation of micromechanical properties of powder materials. The proposed approach allows us to determine the best properties of the investigated material for the design of aerospace components.

Trends in Electron Energy Loss Spectroscopy

1977 ◽  
Vol 35 ◽  
pp. 228-229
Author(s):  
C. Colliex ◽  
P. Trebbia
Keyword(s):  
Energy Loss ◽  
Electron Energy ◽  
Electron Energy Loss Spectroscopy ◽  
Materials Science ◽  
Analytical Technique ◽  
Recent Developments ◽  
Quantitative Results ◽  
Electron Microscopes ◽  
Electron Energy Loss ◽  
Primary Electrons

The physical foundations for the use of electron energy loss spectroscopy towards analytical purposes, seem now rather well established and have been extensively discussed through recent publications. In this brief review we intend only to mention most recent developments in this field, which became available to our knowledge. We derive also some lines of discussion to define more clearly the limits of this analytical technique in materials science problems.The spectral information carried in both low ( 0<ΔE<100eV ) and high ( >100eV ) energy regions of the loss spectrum, is capable to provide quantitative results. Spectrometers have therefore been designed to work with all kinds of electron microscopes and to cover large energy ranges for the detection of inelastically scattered electrons (for instance the L-edge of molybdenum at 2500eV has been measured by van Zuylen with primary electrons of 80 kV). It is rather easy to fix a post-specimen magnetic optics on a STEM, but Crewe has recently underlined that great care should be devoted to optimize the collecting power and the energy resolution of the whole system.

Electron holography in materials science

1991 ◽  
Vol 49 ◽  
pp. 670-671
Author(s):  
Hannes Lichte ◽  
Edgar Voelkl
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Materials Science ◽  
Fourier Spectrum ◽  
Object Wave ◽  
Electron Holography ◽  
Reconstruction Procedure ◽  
Numerical Reconstruction ◽  
Transmission Electron ◽  
Unique Interpretation

The object wave o(x,y) = a(x,y)exp(iφ(x,y)) at the exit face of the specimen is described by two real functions, i.e. amplitude a(x,y) and phase φ(x,y). In stead of o(x,y), however, in conventional transmission electron microscopy one records only the real intensity I(x,y) of the image wave b(x,y) loosing the image phase. In addition, referred to the object wave, b(x,y) is heavily distorted by the aberrations of the microscope giving rise to loss of resolution. Dealing with strong objects, a unique interpretation of the micrograph in terms of amplitude and phase of the object is not possible. According to Gabor, holography helps in that it records the image wave completely by both amplitude and phase. Subsequently, by means of a numerical reconstruction procedure, b(x,y) is deconvoluted from aberrations to retrieve o(x,y). Likewise, the Fourier spectrum of the object wave is at hand. Without the restrictions sketched above, the investigation of the object can be performed by different reconstruction procedures on one hologram. The holograms were taken by means of a Philips EM420-FEG with an electron biprism at 100 kV.

Zero-loss omega-filtered REM and RHEED on the new Zeiss 912

1991 ◽  
Vol 49 ◽  
pp. 616-617
Author(s):  
J.C.H. Spence ◽  
J. Mayer
Keyword(s):  
Electron Microscopy ◽  
Materials Science ◽  
Surface States ◽  
Ccd Camera ◽  
Dark Field ◽  
Ion Pump ◽  
Magnetic Imaging ◽  
Reflection Electron Microscopy ◽  
Diffraction Patterns ◽  
Large Background

The Zeiss 912 is a new fully digital, side-entry, 120 Kv TEM/STEM instrument for materials science, fitted with an omega magnetic imaging energy filter. Pumping is by turbopump and ion pump. The magnetic imaging filter allows energy-filtered images or diffraction patterns to be recorded without scanning using efficient parallel (area) detection. The energy loss intensity distribution may also be displayed on the screen, and recorded by scanning it over the PMT supplied. If a CCD camera is fitted and suitable new software developed, “parallel ELS” recording results. For large fields of view, filtered images can be recorded much more efficiently than by Scanning Reflection Electron Microscopy, and the large background of inelastic scattering removed. We have therefore evaluated the 912 for REM and RHEED applications. Causes of streaking and resonance in RHEED patterns are being studied, and a more quantitative analysis of CBRED patterns may be possible. Dark field band-gap REM imaging of surface states may also be possible.

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