scholarly journals Next generation powder compaction process

Author(s):  
Md. Aminul Haque

Powder Compaction Process (PCP) is a production method commonly used in the manufacturing industry today. Several analysis methods for powder compaction process are developed and being used in order to minimize costly experiments, to produce complicated near-net shape and to optimize serial production of details. This thesis has dealt with Finite Element (FE) simulation of the cold compaction process. The reason for simulating cold compaction is to predict relative density distribution in the compact for various powder fill and punch motion options. An evaluation of a number of commercial FE codes has been carried out. The MSC Marc program, which incorporates the Shima Model, has been used for compaction of Fe-based metal powders. The relative density distributions of the pressure models and the displacement models of the cylindrical and the stepped cylindrical geometries obtained via FE simulation in this research are encouraging that agree well with observations made in practice.

2021 ◽  
Author(s):  
Md. Aminul Haque

Powder Compaction Process (PCP) is a production method commonly used in the manufacturing industry today. Several analysis methods for powder compaction process are developed and being used in order to minimize costly experiments, to produce complicated near-net shape and to optimize serial production of details. This thesis has dealt with Finite Element (FE) simulation of the cold compaction process. The reason for simulating cold compaction is to predict relative density distribution in the compact for various powder fill and punch motion options. An evaluation of a number of commercial FE codes has been carried out. The MSC Marc program, which incorporates the Shima Model, has been used for compaction of Fe-based metal powders. The relative density distributions of the pressure models and the displacement models of the cylindrical and the stepped cylindrical geometries obtained via FE simulation in this research are encouraging that agree well with observations made in practice.


MRS Bulletin ◽  
1997 ◽  
Vol 22 (12) ◽  
pp. 45-51 ◽  
Author(s):  
I. Aydin ◽  
B.J. Briscoe ◽  
N. Ozkan

The compaction process involves stress transmission via rigid or flexible (die) walls and the propagation of stresses within a powder mass. The particles that comprise the powder distribute the stress by a variety of kinematic processes that involve sliding, rotation, particle deformation, and rupture. In practice the “particles” are often agglomerates of finer particles that have a range of properties. All of these factors must be considered in developing a comprehensive predictive model for compaction.The modeling of powder-compaction processes has a significant history that has been greatly advanced by the relatively recent general availability of powerful computers and their peripherals as well as by appropriate softwares. Compaction modeling may attempt to provide a basis for machine-loading specifications, or it may provide guidelines to help minimize “capping” defects where failure cracks form at the top of the green compact. It may also provide “green-body heterogeneity” through predicted stress and density distributions within a compact. Likewise compaction models may be combined with binder burnout and sintering models to predict internal microstructural features such as grain size and porosity, and the external shape of the sintered product. This article will deal only with the modeling of the compaction process; important elements such as powder flow for die filling and subsequent processing steps such as sintering and net shape predictions are not directly addressed.


2018 ◽  
Vol 53 (5) ◽  
pp. 338-352
Author(s):  
Bao Zhang ◽  
Idris K Mohammed ◽  
Yi Wang ◽  
Daniel S Balint

Use of hexagonal close packed and face centered cubic structures to simulate powder compaction reveals that plastic deformation is effective in reducing porosity until a relative density of 0.96, beyond which a drastic rise in pressure is required. The compaction process can be divided into three phases demarcated by relative densities of 0.8 and 0.92, characterized, respectively, by local yielding around the initial contact point, coalescence of locally yielded zones and full plastic flow to reduce pores. The macroscopic yield behaviour of the powder assembly in the present work agrees reasonably with analytical and numerical models such as the Storåkers-Fleck-McMeeking model and multi-particle finite element model. It is found that for rate-dependent powder materials, the compaction process is noticeably rate dependent from a relative density of 0.85. Although a regular packing of powders is unrealistic, the understanding gained from a regular packing model provides insight into the role that plastic deformation plays during powder compaction.


2004 ◽  
Vol 449-452 ◽  
pp. 109-112
Author(s):  
B.D. Ko ◽  
D.H. Jang ◽  
Hyoung Jin Choi ◽  
Joong Yeon Lim ◽  
Beong Bok Hwang

A finite element method for the compaction process of metallic powder is introduced in the present work. Basic equations for the finite element formulation are summarized. A yield criterion, which is modified by describing asymmetric behavior of powder metal compacts, is introduced and applied to various classes of powdered metal compaction processes. Three material parameters are involved in the yield function and determined from the behavior of sintered powder compacts as a function of relative density. The FEM simulation includes single-action and double-action pressings of solid cylinders as well as cylindrical rings of relatively long parts (Class II parts). The compaction process for multi-level flanged components (Class III and Class IV parts) is also analyzed. The predicted results from simulations are summarized in terms of density distributions within the compacts and pressure distributions exerted on the die-wall interfaces, and also in terms of effectiveness with increased relative motions with in the compacts and the effect of various compaction schemes of combination of punch motions. Results obtained in the multi-level compaction process are discussed in terms of average relative density distributions at each height.


2015 ◽  
Vol 35 (2) ◽  
pp. 525-531 ◽  
Author(s):  
K. Rubešová ◽  
T. Hlásek ◽  
V. Jakeš ◽  
Š. Huber ◽  
J. Hejtmánek ◽  
...  

2021 ◽  
Vol 2021 (9) ◽  
pp. 3-7
Author(s):  
Dmitriy Kostin ◽  
Aleksandr Amosov ◽  
Anatoliy Samboruk ◽  
Bogdan Chernyshev ◽  
Anton Kamynin

A comparison is made of the characteristics of metal powders of a hard magnetic alloy produced by centrifugal spraying and gas atomization. Comparative studies of particle morphology and particle size distribution of powders are presented in order to determine them.


Author(s):  
Qiang Zhou ◽  
Shutao Song ◽  
Quanfang Chen ◽  
Yuanli Bai

Abstract Aluminum powder compaction was studied using both test and simulation. Cold compaction, hot compaction and vibration assisted (cold) compaction tests were conducted to achieve different density ratios. Firstly, hot compaction test (at 300°C, compression pressure 140MPa) improved about 6% compared with cold compaction under the same compression pressure. Secondly, although the relative density ratio doesn’t obviously improve at vibration assisted (cold) compaction, the strength of the specimens made under vibration loading is much better than those of cold compaction. Additionally, finite element models with well calibrated Drucker Prager Cap (DPC) material constitutive model were built in Abaqus/standard to simulate the powder compaction process. The results of finite element model have very good correlations with test results up to the tested range, and this finite element model further predicts the loading conditions needed to achieve the higher density ratios. Two exponential equations of the predicted density ratio were obtained by combining the test data and the simulation results. A new analytical solution was developed to predict the axial pressure versus the density ratio for the powder compaction according to DPC material model. The results between the analytical solution and the simulation model have a very good match.


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