Manufacturing of highly porous titanium by metal injection molding in combination with plasma treatment

Daudt, Natália de Freitas; Bram, Martin; Barbosa, Ana Paula Cysne; Laptev, Alexander M.; Alves, Clodomiro

doi:10.1016/j.jmatprotec.2016.08.022

Cited by 32 publications

(16 citation statements)

References 15 publications

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“…However, the differences between the Young's modulus of the Ti implants and the bone (110 and 10–30 GPa, respectively) leads to stress shielding effect on the supporting bone . The use of highly porous structures with tailored porosity are becoming popular for implant materials particularly due to their adjustable Young's modulus to be similar to the bone, and at the same time, improved implant fixation …”

Section: Introductionmentioning

confidence: 99%

Influence of macroporosity on NIH/3T3 adhesion, proliferation, and osteogenic differentiation of MC3T3‐E1 over bio‐functionalized highly porous titanium implant material

et al. 2018

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Highly porous Ti implant materials are being used in order to overcome the stress shielding effect on orthopedic implants. However, the lack of bioactivity on Ti surfaces is still a major concern regarding the osseointegration process. It is known that the rapid recruitment of osteoblasts in bone defects is an essential prerequisite for efficient bone repair. Conventionally, osteoblast recruitment to bone defects and subsequent bone repair has been achieved using growth factors. Thus, in this study highly porous Ti samples were processed by powder metallurgy using space holder technique followed by the bio-functionalization through microarc oxidation using a Ca- and P-rich electrolyte. The biological response in terms of early cell response, namely, adhesion, spreading, viability, and proliferation of the novel biofunctionalized highly porous Ti was carried out with NIH/3T3 fibroblasts and MC3T3-E1 preosteoblasts in terms of viability, adhesion, proliferation, and alkaline phosphatase activity. Results showed that bio-functionalization did not affect the cell viability. However, bio-functionalized highly porous Ti (22% porosity) enhanced the cell proliferation and activity. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 2018.

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Section: Introductionmentioning

confidence: 99%

Influence of macroporosity on NIH/3T3 adhesion, proliferation, and osteogenic differentiation of MC3T3‐E1 over bio‐functionalized highly porous titanium implant material

et al. 2018

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“…Although, currently there is no industrial production for porous medical implants using MIM technology, there are many research and development works that have evaluated the possibility of this technique [17,19,88,[120][121][122][123]. For example, Carreno-Morelli et al [19] manufactured highly porous Ti parts using MIM of titanium hydride powders and the space holder technique with very low elastic modulus in the range of 4-22 GPA, which is close to that of human bone.…”

Section: F) Mim Of Porous Ti and Ti Alloysmentioning

confidence: 99%

Metal injection moulding of titanium and titanium alloys: Challenges and recent development

et al. 2017

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“…In the previous work, structure design, process and manufacture of methanol microreactor for hydrogen production, and reaction support of methanol microreactor for hydrogen production are mainly studied in the research of methanol steam reforming technology [6][7][8][9][10][11][12][13][14][15][16][17][18]. In the structure design of the microreactor, microreactors such as a plate-fin microreactor, cube-post microreactor, annular microreactor, and cylindrical microreactor have been developed [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…In research on reaction support, porous metal materials used as the reaction support in microreactors have also been examined. Foam technology, solid-phase sintering technology, and liquid-phase sintering technology have been developed to fabricate the porous reaction support and have been successfully applied as catalyst support in ammonia decomposition and hydrogen production by methanol [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Methanol steam reforming performance optimisation of cylindrical microreactor for hydrogen production utilising error backpropagation and genetic algorithm

Zheng

Zhou

et al. 2019

Chemical Engineering Journal

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To optimise methanol steam reforming performance of cylindrical microreactor for hydrogen production, an error backpropagation algorithm was used to build a mathematical model for reaction performance of different microreactors for hydrogen production. Additionally, a genetic algorithm (GA) was utilised to process the computational model to obtain the optimum reaction parameters. The reliability of the optimum reaction parameters of cylindrical microreactor for hydrogen production was verified by experiments. Firstly, take plate microreactor as an example, the porosity of porous copper fiber sintered sheet (PCFSS), reaction temperature of methanol steam reforming for hydrogen production, injection velocity of the methanol and water mixture, and catalyst loading of PCFSS were considered as input data, whereas methanol conversion was used as output data. The computational model for specific testing system was gained by utilising input and output data from specific testing system to train the mathematical model for different microreactors, combining with matrix laboratory (MATLAB) neural network toolbox and designed MATLAB program. The E max of 5% for plate microreactor and E max of 3.2% for cylindrical microreactor verified the good predictive ability and reliability of the computational model for plate and cylindrical microreactor, indicating the reliability and universal applicability of the mathematical model for different microreactors. Secondly, the effects and mechanisms of PPI, reaction temperature, injection velocity, and catalyst loading on methanol conversion were studied, relying on the computational model. Finally, the optimum reaction parameters were acquired using GA, MATLAB neural network toolbox and designed MATLAB program. The validity of the optimum reaction parameters of cylindrical microreactor for hydrogen production was confirmed by experiments. This study provides a reference method for methanol steam reforming performance optimisation for hydrogen production.Highlights >Error backpropagation algorithm is used to built general mathematical model.>Computational model is established based on general mathematical model.>Computational model shows good reliability and predictive ability. >Relations between reaction parameters and performance are studied. > Optimum reaction parameters are obtained by using genetic algorithm.Graphical abstract

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Manufacturing of highly porous titanium by metal injection molding in combination with plasma treatment

Cited by 32 publications

References 15 publications

Influence of macroporosity on NIH/3T3 adhesion, proliferation, and osteogenic differentiation of MC3T3‐E1 over bio‐functionalized highly porous titanium implant material

Influence of macroporosity on NIH/3T3 adhesion, proliferation, and osteogenic differentiation of MC3T3‐E1 over bio‐functionalized highly porous titanium implant material

Metal injection moulding of titanium and titanium alloys: Challenges and recent development

Methanol steam reforming performance optimisation of cylindrical microreactor for hydrogen production utilising error backpropagation and genetic algorithm

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