Optimizing the mechanical properties of injection molded W4.9%Ni2.1%Fe in debinding

Zu, Y.S.; Lin, Shun‐Tian

doi:10.1016/s0924-0136(97)00095-2

Cited by 25 publications

(11 citation statements)

References 11 publications

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“…The solvent debinding temperature and thermal debinding atmosphere are found to be the principal factors affecting the mechanical properties of the alloy [61,62]. Effect of agglomerates with different contents on the green and sintered properties of 97W-2.1Ni-0.9Fe heavy alloys for tensile specimens indicates that particle characteristics have no effect on the microstructure and mechanical properties because agglomeration remains as porous structure in the molded green compacts [63,64]. The feedstock formed by mechanically alloyed (MAed) for W-Ni-Fe nanocrystalline composite powder and wax multicomponent binder has good flow ability and mold ability.…”

Section: Powder Injection Moldingmentioning

confidence: 99%

Recent Progress in Processing of Tungsten Heavy Alloys

Şahin

2014

Journal of Powder Technology

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Tungsten heavy alloys (WHAs) belong to a group of two-phase composites, based on W-Ni-Cu and W-Ni-Fe alloys. Due to their combinations of high density, strength, and ductility, WHAs are used as radiation shields, vibration dampers, kinetic energy penetrators and heavy-duty electrical contacts. This paper presents recent progresses in processing, microstructure, and mechanical properties of WHAs. Various processing techniques for the fabrication of WHAs such as conventional powder metallurgy (PM), advent of powder injection molding (PIM), high-energy ball milling (MA), microwave sintering (MW), and spark-plasma sintering (SPS) are reviewed for alloys. This review reveals that key factors affecting the performance of WHAs are the microstructural factors such as tungsten and matrix composition, chemistry, shape, size and distributions of tungsten particles in matrix, and interface-bonding strength between the tungsten particle and matrix in addition to processing factors. SPS approach has a better performance than those of others, followed by extrusion process. Moreover, deformation behaviors of WHA penetrator and depleted uranium (DU) Ti alloy impacting at normal incidence both rigid and thick mild steel target are studied and modelled as elastic thermoviscoplastic. Height of the mushroomed region is smaller forα=0.3and it forms sooner in each penetrator as compared to that forα=0.2.

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Section: Powder Injection Moldingmentioning

confidence: 99%

Recent Progress in Processing of Tungsten Heavy Alloys

Şahin

2014

Journal of Powder Technology

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“…Several research studies have addressed the effect of incomplete removal of polymer during burnout on the mechanical, electrical, and magnetic properties of the sintered products [79][80][81][82][83][84][85][86][87][88][89][90][91]. The carbon content after thermal debinding was reported to be dependent on the following parameters:…”

Section: Carbon Contaminationmentioning

confidence: 99%

“…It was hypothesized that the formation of oxides on the surface of the powders prevented easy out gassing of the degraded polymer resulting in carbon residue in the burnt out sample [83,86,88]. A separate study carried out by Zu et al [89] also concluded that the mechanical properties of injection molded tungsten heavy alloy depended primarily on the thermal debinding atmosphere.…”

Section: Carbon Contaminationmentioning

confidence: 99%

Review: Thermal Debinding Process in Particulate Materials Processing

Enneti

Park

German

et al. 2011

Materials and Manufacturing Processes

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Developing a rapid and efficient method for removing polymers (termed binders) from a shaped powder component, know as a green body, is important to forming defect-free metal, ceramic, and cermet structures. The rapid growth in powder injection molding to form complex shapes at high precision in large quantities has increased the need for faster, cleaner, and cheaper polymer removal processes. Binder removal using controlled heating of the component in gaseous atmosphere is the most popular method. This thermal debinding or burnout process is a delicate process, since it is easy to crack, blister, slump, or otherwise damage the component with an improperly designed cycle. To avoid these issues, often long heating cycles are used to remove the binder, but with a loss of productivity. Considerable progress has been made over the past several decades in understanding various phenomena during polymer burnout, resulting in substantial reduction in the thermal debinding time. This article provides an overview of the research carried out on thermal debinding process (primarily from powder injection molded samples) with major emphasis on progress reported over the last fifteen years. This review article proposes a model to predict the formation of defects during all stages of thermal debinding and suggests future research direction in the field.

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“…A Taguchi experimental design is often used to seek the values of process parameters that optimize a product quality in a much smaller number of experiments, and has been successfully applied in submerged arc welding [5], plasma enhanced chemical vapor deposition [6], rotational molding [7], coat hanger manifolds [8], and injection molding [9,10]. However, the Taguchi method simply finds optimal values in a discrete solution space constrained by levels of parameters [11], and usually deals with a single quality characteristic.…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization in melt spinning by neural networks and genetic algorithms

Huang

Tang

2005

Int J Adv Manuf Technol

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An approach for determining parameter values in melt spinning processes to yield optimal qualities of denier and tenacity in as-spun fibers is presented. The approach requires a fewer number of experiments than conventional methods. An orthogonal array in the Taguchi method determines the minimum number of experiment trials to be conducted. Whether the experimental data are adopted to train a neural network is justified by an analysis of variance(ANOVA) and confirmed by experiments. A neural network relating 11 process parameters and two quality characteristics is constructed. The genetic algorithm is aimed at finding parameter values in a continuous solution space to optimize a performance measure on denier and tenacity qualities, based on the neural network. The performance measure is evaluated by the technique for order preference by similarity to ideal solution (TOPSIS). To expand the solution space, three different sets of level values for the orthogonal array are chosen from the ranges where the melt spinning will properly work. The results demonstrate that the proposed approach gives the smaller denier and the larger tenacity of polypropylene(PP) as-spun fibers than the Taguchi method.

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Optimizing the mechanical properties of injection molded W4.9%Ni2.1%Fe in debinding

Cited by 25 publications

References 11 publications

Recent Progress in Processing of Tungsten Heavy Alloys

Recent Progress in Processing of Tungsten Heavy Alloys

Review: Thermal Debinding Process in Particulate Materials Processing

Parameter optimization in melt spinning by neural networks and genetic algorithms

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