FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964258563> ?p ?o ?g. }

• W2964258563 abstract "The continued research interest in ceramic injection moulding originates from the pursue to develop new materials and improve mechanical properties. Mould filling simulation has provided the freedom to test out mould designs and new material numerically with minimal material wastage. Therefore, the use of numerical simulations is useful in the development of ceramic injection moulding. However, extensive material data are required to perform these numerical simulations and the results of which need to be validated for any meaningful conclusions to be made.At present, the simulation of ceramic injection moulding requires extensive material input data of the powder-based feedstock. It is time consuming and costly to characterise a powder-based feedstock for the necessary thermomechanical properties for simulation. This restricts the use of numerical simulations when a new feedstock material or composition is being developed. Moreover, the phenomena of powder-binder separation that occurs during mould filling are not captured by commercial simulation. The defects caused by this phenomenon will affect the quality of the component and cannot be resolved in latter processes. This is the gap this research aims to fill. The objective of the work presented in this thesis is to develop a hybrid material data that can be used in simulating powder-binder separation observed during mould filling. The research work presented in this thesis is structured into three parts.First, a hybrid material data of the powder-based feedstock is developed. The hybrid material data consists of a combination of estimated and experimental material data. A comparative study was conducted on experimental material properties of powder-polymer mixture found in literature and existing models that estimates elastic modulus, thermal conductivity, coefficient of thermal expansion and specific volume. The comparative study showed that the estimation models selected for this hybrid material data predicts the material properties better than existing models used in past studies. Experiments are conducted to measure the density, specific heat capacity, viscosity and particle size distribution of the silicon nitride feedstock developed in this research work and the elastic modulus, thermal conductivity, coefficient of thermal expansion and specific volume are estimated with the selected estimation models.Second, powder distribution analysis methods are developed to measure the powder distribution within the injection moulded green bodies which will be used to validate the numerical simulations. The differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) are developed to measure the volume fraction of ceramic powder in the feedstock and green bodies. An empirical model is developed using the DSC test results and compared with existing rule-of-mixture model at predicting the volume fraction of silicon nitride powder in green bodies. The empirical model showed results closer to the nominal volume fraction of silicon nitride powder and lower variation in measurements at each point of the green body as compared to the rule-of-mixture model. Between the DSC and TGA methods, the TGA tests measured the closest volume fraction of silicon nitride powder to nominal volume fraction and lowest variation.Third, a suspension balance model and a two-fluid model are developed to simulate the phenomena of powder-binder separation during mould filling of powder-based feedstock. The effects of overestimating elastic modulus, thermal conductivity and coefficient of thermal expansion on injection moulding numerical results are studied with the newly developed hybrid material data and existing hybrid material data. The filling and packing results from the simulation models were used to investigate the filling patterns of the simulation models and the powder distribution within the green body. The numerical results showed that segregation of powder-binder is more prominent in the regions close to the gate and rear of the green body. This is likewise seen in the experimental results from the powder distribution analysis of the injection moulded silicon nitride test-bar.This research work contributed to a hybrid material data of a powder-based feedstock that can be used as material input data for powder injection moulding simulation. The powder distribution analysis method that is developed is able to measure the distribution of powder within injection moulded green bodies. Furthermore, injection moulding simulations developed are able to simulate the powder-binder separation in silicon nitride green bodies. By developing a hybrid material data that allows several material properties to be estimated and used for numerical simulation, it provides flexibility and reduces cost for numerical investigation of powder-based feedstock in injection moulding." @default.
• W2964258563 created "2019-07-30" @default.
• W2964258563 creator A5037846139 @default.
• W2964258563 date "2019-01-01" @default.
• W2964258563 modified "2023-09-23" @default.
• W2964258563 title "Experimental and numerical study of silicon nitride for powder injection moulding" @default.
• W2964258563 cites W2037836704 @default.
• W2964258563 cites W2894889868 @default.
• W2964258563 cites W2894982524 @default.
• W2964258563 hasPublicationYear "2019" @default.
• W2964258563 type Work @default.
• W2964258563 sameAs 2964258563 @default.
• W2964258563 citedByCount "0" @default.
• W2964258563 crossrefType "dissertation" @default.
• W2964258563 hasAuthorship W2964258563A5037846139 @default.
• W2964258563 hasConcept C127413603 @default.
• W2964258563 hasConcept C134132462 @default.
• W2964258563 hasConcept C159985019 @default.
• W2964258563 hasConcept C178790620 @default.
• W2964258563 hasConcept C185592680 @default.
• W2964258563 hasConcept C18762648 @default.
• W2964258563 hasConcept C192562407 @default.
• W2964258563 hasConcept C206139338 @default.
• W2964258563 hasConcept C21880701 @default.
• W2964258563 hasConcept C2777431650 @default.
• W2964258563 hasConcept C2778993590 @default.
• W2964258563 hasConcept C2779227376 @default.
• W2964258563 hasConcept C31555180 @default.
• W2964258563 hasConcept C41008148 @default.
• W2964258563 hasConcept C44154836 @default.
• W2964258563 hasConcept C500300565 @default.
• W2964258563 hasConcept C78519656 @default.
• W2964258563 hasConceptScore W2964258563C127413603 @default.
• W2964258563 hasConceptScore W2964258563C134132462 @default.
• W2964258563 hasConceptScore W2964258563C159985019 @default.
• W2964258563 hasConceptScore W2964258563C178790620 @default.
• W2964258563 hasConceptScore W2964258563C185592680 @default.
• W2964258563 hasConceptScore W2964258563C18762648 @default.
• W2964258563 hasConceptScore W2964258563C192562407 @default.
• W2964258563 hasConceptScore W2964258563C206139338 @default.
• W2964258563 hasConceptScore W2964258563C21880701 @default.
• W2964258563 hasConceptScore W2964258563C2777431650 @default.
• W2964258563 hasConceptScore W2964258563C2778993590 @default.
• W2964258563 hasConceptScore W2964258563C2779227376 @default.
• W2964258563 hasConceptScore W2964258563C31555180 @default.
• W2964258563 hasConceptScore W2964258563C41008148 @default.
• W2964258563 hasConceptScore W2964258563C44154836 @default.
• W2964258563 hasConceptScore W2964258563C500300565 @default.
• W2964258563 hasConceptScore W2964258563C78519656 @default.
• W2964258563 hasLocation W29642585631 @default.
• W2964258563 hasOpenAccess W2964258563 @default.
• W2964258563 hasPrimaryLocation W29642585631 @default.
• W2964258563 hasRelatedWork W1190710215 @default.
• W2964258563 hasRelatedWork W1511979395 @default.
• W2964258563 hasRelatedWork W1585598772 @default.
• W2964258563 hasRelatedWork W1969779828 @default.
• W2964258563 hasRelatedWork W2021225203 @default.
• W2964258563 hasRelatedWork W2023159297 @default.
• W2964258563 hasRelatedWork W2023563720 @default.
• W2964258563 hasRelatedWork W2029089129 @default.
• W2964258563 hasRelatedWork W2030276217 @default.
• W2964258563 hasRelatedWork W2033851322 @default.
• W2964258563 hasRelatedWork W2040383270 @default.
• W2964258563 hasRelatedWork W2063967688 @default.
• W2964258563 hasRelatedWork W2104655614 @default.
• W2964258563 hasRelatedWork W2125149718 @default.
• W2964258563 hasRelatedWork W2515062115 @default.
• W2964258563 hasRelatedWork W2530618607 @default.
• W2964258563 hasRelatedWork W2590052756 @default.
• W2964258563 hasRelatedWork W2789019343 @default.
• W2964258563 hasRelatedWork W3097000072 @default.
• W2964258563 hasRelatedWork W3122369779 @default.
• W2964258563 isParatext "false" @default.
• W2964258563 isRetracted "false" @default.
• W2964258563 magId "2964258563" @default.
• W2964258563 workType "dissertation" @default.