The Experts below are selected from a list of 189 Experts worldwide ranked by ideXlab platform
Sami Erguney - One of the best experts on this subject based on the ideXlab platform.
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Experimental and Theoretical Investigations of Mouldability for Feedstocks Used in Powder Injection Moulding
Modelling and Simulation in Engineering, 2020Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Experimental and theoretical analyses of mouldability for feedstocks used in powder injection moulding are performed. This study covers two main analyses. (i)The experimental analysis: the barrel temperature, injection pressure, and flow rate are factors for powder injection moulding (PIM). Powder-binder mixture used as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among pressure, temperature, and especially flow rate is the most important aspect of undesirable conclusions such as powder-binder separation, sink marks, and cracks in moulded Party Structure. In this study, available feedstocks used in PIM were injected in three different cavities which consist of zigzag form, constant cross-section, and stair form (in five different thicknesses) and their mouldability is measured. Because of the difference between material and binder, measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm, and 150 mm in advanced materials trade marks Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. (ii)The theoretical analysis: the use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks used in powder injection moulding using results of experimental analysis. The back-propagation learning algorithm with two different variants and logistic sigmoid transfer function were used in the network. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found that theR2values are 0.999463, 0.999445, 0.999574, and 0.999593 for Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612, and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield lengths are obviously within acceptable uncertainties.
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investigation of mouldability for feedstocks used powder injection moulding
Materials & Design, 2008Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Abstract In this study performed experimental and theoretical analysis of mouldability for feedstocks used powder injection moulding. This study covers two main subjects: (i) The experimental analysis: The barrel temperature, injection pressure and flow rate are factors for powder injection moulding (PIM). Powder–binder mixture using as feedstock as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among with pressure, temperature and especially flow rate are the most important in aspect of undesirable conclusions such as powder–binder separation, sink marks and crack in moulded Party Structure. In this study; available feed stocks using in PIM were injected in three different cavities which consist of zigzag form, constant cross section and stair form (in five different thicknesses) mouldability them are measured. Because of difference between material and binder measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm and 150 mm in advanced materials trade mark Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. (ii) The theoretical analysis: The use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks using in powder injection moulding using results of experimental analysis. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden-layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found the R 2 values are 0.999463, 0.999445, 0.999574 and 0.999593for Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612 and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield length are obviously within acceptable uncertainties.
Cetin Karatas - One of the best experts on this subject based on the ideXlab platform.
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Experimental and Theoretical Investigations of Mouldability for Feedstocks Used in Powder Injection Moulding
Modelling and Simulation in Engineering, 2020Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Experimental and theoretical analyses of mouldability for feedstocks used in powder injection moulding are performed. This study covers two main analyses. (i)The experimental analysis: the barrel temperature, injection pressure, and flow rate are factors for powder injection moulding (PIM). Powder-binder mixture used as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among pressure, temperature, and especially flow rate is the most important aspect of undesirable conclusions such as powder-binder separation, sink marks, and cracks in moulded Party Structure. In this study, available feedstocks used in PIM were injected in three different cavities which consist of zigzag form, constant cross-section, and stair form (in five different thicknesses) and their mouldability is measured. Because of the difference between material and binder, measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm, and 150 mm in advanced materials trade marks Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. (ii)The theoretical analysis: the use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks used in powder injection moulding using results of experimental analysis. The back-propagation learning algorithm with two different variants and logistic sigmoid transfer function were used in the network. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found that theR2values are 0.999463, 0.999445, 0.999574, and 0.999593 for Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612, and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield lengths are obviously within acceptable uncertainties.
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investigation of mouldability for feedstocks used powder injection moulding
Materials & Design, 2008Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Abstract In this study performed experimental and theoretical analysis of mouldability for feedstocks used powder injection moulding. This study covers two main subjects: (i) The experimental analysis: The barrel temperature, injection pressure and flow rate are factors for powder injection moulding (PIM). Powder–binder mixture using as feedstock as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among with pressure, temperature and especially flow rate are the most important in aspect of undesirable conclusions such as powder–binder separation, sink marks and crack in moulded Party Structure. In this study; available feed stocks using in PIM were injected in three different cavities which consist of zigzag form, constant cross section and stair form (in five different thicknesses) mouldability them are measured. Because of difference between material and binder measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm and 150 mm in advanced materials trade mark Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. (ii) The theoretical analysis: The use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks using in powder injection moulding using results of experimental analysis. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden-layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found the R 2 values are 0.999463, 0.999445, 0.999574 and 0.999593for Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612 and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield length are obviously within acceptable uncertainties.
Erol Arcaklioglu - One of the best experts on this subject based on the ideXlab platform.
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Experimental and Theoretical Investigations of Mouldability for Feedstocks Used in Powder Injection Moulding
Modelling and Simulation in Engineering, 2020Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Experimental and theoretical analyses of mouldability for feedstocks used in powder injection moulding are performed. This study covers two main analyses. (i)The experimental analysis: the barrel temperature, injection pressure, and flow rate are factors for powder injection moulding (PIM). Powder-binder mixture used as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among pressure, temperature, and especially flow rate is the most important aspect of undesirable conclusions such as powder-binder separation, sink marks, and cracks in moulded Party Structure. In this study, available feedstocks used in PIM were injected in three different cavities which consist of zigzag form, constant cross-section, and stair form (in five different thicknesses) and their mouldability is measured. Because of the difference between material and binder, measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm, and 150 mm in advanced materials trade marks Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. (ii)The theoretical analysis: the use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks used in powder injection moulding using results of experimental analysis. The back-propagation learning algorithm with two different variants and logistic sigmoid transfer function were used in the network. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found that theR2values are 0.999463, 0.999445, 0.999574, and 0.999593 for Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612, and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield lengths are obviously within acceptable uncertainties.
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investigation of mouldability for feedstocks used powder injection moulding
Materials & Design, 2008Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Abstract In this study performed experimental and theoretical analysis of mouldability for feedstocks used powder injection moulding. This study covers two main subjects: (i) The experimental analysis: The barrel temperature, injection pressure and flow rate are factors for powder injection moulding (PIM). Powder–binder mixture using as feedstock as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among with pressure, temperature and especially flow rate are the most important in aspect of undesirable conclusions such as powder–binder separation, sink marks and crack in moulded Party Structure. In this study; available feed stocks using in PIM were injected in three different cavities which consist of zigzag form, constant cross section and stair form (in five different thicknesses) mouldability them are measured. Because of difference between material and binder measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm and 150 mm in advanced materials trade mark Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. (ii) The theoretical analysis: The use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks using in powder injection moulding using results of experimental analysis. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden-layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found the R 2 values are 0.999463, 0.999445, 0.999574 and 0.999593for Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612 and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield length are obviously within acceptable uncertainties.
Adnan Sozen - One of the best experts on this subject based on the ideXlab platform.
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Experimental and Theoretical Investigations of Mouldability for Feedstocks Used in Powder Injection Moulding
Modelling and Simulation in Engineering, 2020Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Experimental and theoretical analyses of mouldability for feedstocks used in powder injection moulding are performed. This study covers two main analyses. (i)The experimental analysis: the barrel temperature, injection pressure, and flow rate are factors for powder injection moulding (PIM). Powder-binder mixture used as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among pressure, temperature, and especially flow rate is the most important aspect of undesirable conclusions such as powder-binder separation, sink marks, and cracks in moulded Party Structure. In this study, available feedstocks used in PIM were injected in three different cavities which consist of zigzag form, constant cross-section, and stair form (in five different thicknesses) and their mouldability is measured. Because of the difference between material and binder, measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm, and 150 mm in advanced materials trade marks Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. (ii)The theoretical analysis: the use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks used in powder injection moulding using results of experimental analysis. The back-propagation learning algorithm with two different variants and logistic sigmoid transfer function were used in the network. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found that theR2values are 0.999463, 0.999445, 0.999574, and 0.999593 for Fe–2Ni, BASF firm Catamould A0-F, FN02, and 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612, and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield lengths are obviously within acceptable uncertainties.
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investigation of mouldability for feedstocks used powder injection moulding
Materials & Design, 2008Co-Authors: Cetin Karatas, Adnan Sozen, Erol Arcaklioglu, Sami ErguneyAbstract:Abstract In this study performed experimental and theoretical analysis of mouldability for feedstocks used powder injection moulding. This study covers two main subjects: (i) The experimental analysis: The barrel temperature, injection pressure and flow rate are factors for powder injection moulding (PIM). Powder–binder mixture using as feedstock as feedstock in PIM requires a little more attention and sensitivity. Obtaining the balance among with pressure, temperature and especially flow rate are the most important in aspect of undesirable conclusions such as powder–binder separation, sink marks and crack in moulded Party Structure. In this study; available feed stocks using in PIM were injected in three different cavities which consist of zigzag form, constant cross section and stair form (in five different thicknesses) mouldability them are measured. Because of difference between material and binder measured lengths were different. These were measured as 533 mm, 268 mm, 211 mm and 150 mm in advanced materials trade mark Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. (ii) The theoretical analysis: The use of artificial neural network (ANN) has been proposed to determine the mouldability for feedstocks using in powder injection moulding using results of experimental analysis. In order to train the neural network, limited experimental measurements were used as training and test data. The best fitting training data set was obtained with three and four neurons in the hidden-layer, which made it possible to predict yield length with accuracy at least as good as that of the experimental error, over the whole experimental range. After training, it was found the R 2 values are 0.999463, 0.999445, 0.999574 and 0.999593for Fe-2Ni, BASF firm Catamould AO-F, FN02, 316L stainless steel, respectively. Similarly, these values for testing data are 0.999129, 0.999666, 0.998612 and 0.997512, respectively. As seen from the results of mathematical modeling, the calculated yield length are obviously within acceptable uncertainties.
Walid Jumblatt Abdullah - One of the best experts on this subject based on the ideXlab platform.
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Intra-Party Dynamics in the People’s Action Party: Party Structure, Continuity and Hegemony
The Limits of Authoritarian Governance in Singapore's Developmental State, 2019Co-Authors: Walid Jumblatt AbdullahAbstract:This chapter explores the role of intra-Party dynamics within the People’s Action Party (PAP). I argue that the PAP’s closed Structure—akin to a cadre Party—is an important reason for its political preponderance. The Party Structure ensures that there has been no major split within the Party since independence, and the core ideological predispositions remain unchallenged. Essentially, the Party reproduces itself. The choice of a cadre Structure was a conscious decision by the Party leadership, especially Lee Kuan Yew, following an internal struggle with the leftist faction. This chapter thus interrogates the interaction between institutions (Party Structures) and agents (personalities), and how one affects the other. At the same time, the chapter investigates the much-touted ‘leftwards’ shift by the Party following its dismal showing in the 2011 elections. I contend that the tilt in direction can be more accurately described as a shift in policy focus rather than a significant alteration of PAP core governing ideologies. The Party’s closed Structure minimises the possibility of radical change in its fundamental underpinnings of governance. The policy shifts should then be considered as pragmatic responses to a declining vote share, rather than a rethinking of the assumptions upon which the Party, and the country, are built. The effect of the Structure is that the Party perpetuates itself, and prospects of significant, rather than cosmetic, change in the Party remains unlikely. The PAP case study offers several comparative implications. Firstly, it highlights how personalities—and critical junctures—can have a lasting impact on political institutions and outcomes. Secondly, the case study emphasises the transformative relationship between institutional dominance and ideological hegemony—the Party Structure being one such institution.
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intra Party dynamics in the people s action Party Party Structure continuity and hegemony
2019Co-Authors: Walid Jumblatt AbdullahAbstract:This chapter explores the role of intra-Party dynamics within the People’s Action Party (PAP). I argue that the PAP’s closed Structure—akin to a cadre Party—is an important reason for its political preponderance. The Party Structure ensures that there has been no major split within the Party since independence, and the core ideological predispositions remain unchallenged. Essentially, the Party reproduces itself. The choice of a cadre Structure was a conscious decision by the Party leadership, especially Lee Kuan Yew, following an internal struggle with the leftist faction. This chapter thus interrogates the interaction between institutions (Party Structures) and agents (personalities), and how one affects the other. At the same time, the chapter investigates the much-touted ‘leftwards’ shift by the Party following its dismal showing in the 2011 elections. I contend that the tilt in direction can be more accurately described as a shift in policy focus rather than a significant alteration of PAP core governing ideologies. The Party’s closed Structure minimises the possibility of radical change in its fundamental underpinnings of governance. The policy shifts should then be considered as pragmatic responses to a declining vote share, rather than a rethinking of the assumptions upon which the Party, and the country, are built. The effect of the Structure is that the Party perpetuates itself, and prospects of significant, rather than cosmetic, change in the Party remains unlikely. The PAP case study offers several comparative implications. Firstly, it highlights how personalities—and critical junctures—can have a lasting impact on political institutions and outcomes. Secondly, the case study emphasises the transformative relationship between institutional dominance and ideological hegemony—the Party Structure being one such institution.
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Assessing Party Structures: why some regimes are more authoritarian than others
Australian Journal of International Affairs, 2016Co-Authors: Walid Jumblatt AbdullahAbstract:ABSTRACTThis article attempts to answer the puzzle of why, amongst undemocratic states, some regimes are more authoritarian than others. The author contends that differing Party Structures result in different authoritarian outcomes. A ruling, competitive authoritarian regime that has a Party Structure akin to a cadre Party, or where there is little or no intra-Party democracy, is more likely to be more authoritarian than a Party which has intra-Party democracy. The lack or absence of intra-Party democracy ensures that elites remain cohesive and that there are lesser opportunities for the opposition to take advantage of divisions in the Party, whereas in a Party with intra-Party democracy, there is a greater possibility of elite disunity, which could be capitalised on by the opposition, and there is also a greater likelihood of a different ideology being propagated by defectors from the Party. The cases of the People's Action Party in Singapore and the United Malays National Organization in Malaysia are us...