scholarly journals The Effect of Relative Porosity on the Survivability of a Powder Metallurgy Part During Ejection

2021 ◽  
Author(s):  
Daniel Ogbuigwe
Keyword(s):  
Finite Element ◽  
Powder Metallurgy ◽  
Compaction Pressure ◽  
Element Analysis ◽  
Optimal Outcomes ◽  
Relative Porosity ◽  
Frictional Forces ◽  
Powder Part ◽  
Ejection Phase ◽  
Powder Metallurgy Part

The desire to produce functional powder metallurgy (PM) components has resulted in higher compression forces during compaction. This in turn increases the ejection stresses and therefore the possibility of failure during ejection. This failure can be caused by sprig back during ejection due to frictional forces that are generated between the powder part and the die walls. In order to predict these factors a stress analysis of the powder part during ejection was done. Due to complexity, finite element analysis was used to model the powder during compaction and ejection. Since the ejection stage is the most critical stage of the PM process, it is essential to understand the factors that determine the survivability of a part during this stage. This work uses experimental data, finite element modeling and reliability analysis to determine the probability of failure of metallic powder components during the ejection phase. The results show that there is an increased possibility of failure during ejection as compaction pressure is increased. This information can be used by designers and process planners to determine the optimal process parameters that need to be adopted for optimal outcomes during powder metallurgy.

scholarly journals The Effect of Relative Porosity on the Survivability of a Powder Metallurgy Part During Ejection

2021 ◽  
Author(s):  
Daniel Ogbuigwe
Keyword(s):  
Finite Element ◽  
Powder Metallurgy ◽  
Compaction Pressure ◽  
Element Analysis ◽  
Optimal Outcomes ◽  
Relative Porosity ◽  
Frictional Forces ◽  
Powder Part ◽  
Ejection Phase ◽  
Powder Metallurgy Part

The desire to produce functional powder metallurgy (PM) components has resulted in higher compression forces during compaction. This in turn increases the ejection stresses and therefore the possibility of failure during ejection. This failure can be caused by sprig back during ejection due to frictional forces that are generated between the powder part and the die walls. In order to predict these factors a stress analysis of the powder part during ejection was done. Due to complexity, finite element analysis was used to model the powder during compaction and ejection. Since the ejection stage is the most critical stage of the PM process, it is essential to understand the factors that determine the survivability of a part during this stage. This work uses experimental data, finite element modeling and reliability analysis to determine the probability of failure of metallic powder components during the ejection phase. The results show that there is an increased possibility of failure during ejection as compaction pressure is increased. This information can be used by designers and process planners to determine the optimal process parameters that need to be adopted for optimal outcomes during powder metallurgy.

scholarly journals Mechanical and Finite Element Analysis of an Innovative Orthopedic Implant Designed to Increase the Weight Carrying Ability of the Femur and Reduce Frictional Forces on an Amputee’s Stump

2019 ◽  
Vol 184 (Supplement_1) ◽  
pp. 627-636 ◽  
Author(s):  
Tejas P Chillale ◽  
Nam Ho Kim ◽  
Larry N Smith
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Weight Bearing ◽  
Contact Forces ◽  
Element Analysis ◽  
Normal Contact ◽  
Fea Modeling ◽  
Significant Difference ◽  
Frictional Forces ◽  
Weight Carrying

Abstract This study was designed to test the hypothesis that: “A properly designed implant that harnesses the principle of the incompressibility of fluids can improve the weight carrying ability of an amputee’s residual femur and reduce the frictional forces at the stump external socket interface.” The hypothesis was tested both mechanically on an Amputee Simulation Device (ASD) and through Finite Element Analysis (FEA) modeling software. With the implant attached to the femur, the FEA and ASD demonstrated that the femur carried 90% and 93% respectively of the force of walking. Without the implant, the FEA model and ASD femur carried only 35% and 77%, respectively, of the force of walking. Statistical calculations reveal three (3) degrees of separation (99% probability of non-random significant difference) between with and without implant data points. FEA modeling demonstrates that the normal contact forces and shear forces are pushed the distal weight-bearing area of the amputee stump, relieving the lateral stump of frictional forces. The ASD mechanical and FEA modeling data validate each other with both systems supporting the hypotheses with confidence intervals of three degrees of separation between with implant and without implant models.

Finite element analysis of the powder metallurgy process for manufacturing LED ceramic sub-mounts

2015 ◽  
Vol 100 ◽  
pp. 15-20 ◽  
Author(s):  
Myeong-Sik Jeong ◽  
Sang-Kon Lee ◽  
Jae-Wook Lee ◽  
Da Hye Kim ◽  
Sun Kwang Hwang ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Powder Metallurgy ◽  
Element Analysis ◽  
Powder Metallurgy Process ◽  
Metallurgy Process

scholarly journals Compaction density variation in powder metallurgy components

2021 ◽  
Author(s):  
Elham Jafar-Salehi
Keyword(s):  
Finite Element ◽  
Powder Metallurgy ◽  
Density Distribution ◽  
Relative Density ◽  
Compaction Pressure ◽  
Density Variation ◽  
Fe Model ◽  
Green Density ◽  
Artificial Neural Network Ann ◽  
The Relationship

The main objective of this research was to study the relationship between green density and compaction pressure in powdered metallurgy. Powder metallurgy has gained popularity and importance because of its near net shape, cost effectiveness and its ability to reduce the complexity of multileveled engineering components. However, powder metallurgy poses challenges that are yet to be fully understood. There are many works performed to address challenges such as the effect of friction, the tool kinematics, handling component prior to sintering and fracture under compaction. This work concentrates on the relationship between green density distribution and compaction pressure. In order to measure the relative density of compacted components, Electron Scanning Microscope was utilized. One can intuitively conceive that the relative density requires more than intuition. It was determined that highest relative density occurs at the center of the specimen and reduces toward the die-powder or punch-powder boundary. For completeness, the application of artificial neural network (ANN) and finite element (FE) model in estimation of green relative density was studied. The results of this research signify that ANN is an excellent technique to determine the relative density distribution of un-sintered compacted specimen. Moreover, finite element method can accurately estimate the average relative density of compacted specimen.

scholarly journals Compaction density variation in powder metallurgy components

2021 ◽  
Author(s):  
Elham Jafar-Salehi
Keyword(s):  
Finite Element ◽  
Powder Metallurgy ◽  
Density Distribution ◽  
Relative Density ◽  
Compaction Pressure ◽  
Density Variation ◽  
Fe Model ◽  
Green Density ◽  
Artificial Neural Network Ann ◽  
The Relationship

The main objective of this research was to study the relationship between green density and compaction pressure in powdered metallurgy. Powder metallurgy has gained popularity and importance because of its near net shape, cost effectiveness and its ability to reduce the complexity of multileveled engineering components. However, powder metallurgy poses challenges that are yet to be fully understood. There are many works performed to address challenges such as the effect of friction, the tool kinematics, handling component prior to sintering and fracture under compaction. This work concentrates on the relationship between green density distribution and compaction pressure. In order to measure the relative density of compacted components, Electron Scanning Microscope was utilized. One can intuitively conceive that the relative density requires more than intuition. It was determined that highest relative density occurs at the center of the specimen and reduces toward the die-powder or punch-powder boundary. For completeness, the application of artificial neural network (ANN) and finite element (FE) model in estimation of green relative density was studied. The results of this research signify that ANN is an excellent technique to determine the relative density distribution of un-sintered compacted specimen. Moreover, finite element method can accurately estimate the average relative density of compacted specimen.

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