Effects of material and processing conditions on powder-binder separation using the Taguchi method

Park, Dong Yong; Shin, Da Seul; Cho, Hanlyun; Park, Seong Jin

doi:10.1016/j.powtec.2017.07.091

Cited by 14 publications

(10 citation statements)

References 16 publications

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“…All these can give rise to the product defects. Park et al [17] has proved the relationship between binder viscosity and injection temperature, because of the high temperature, the viscosity of the binder is low and dragging force between the powder phase and the binder phase is small, resulting in large speed difference between the powder and the binder in the accelerated filling of sample C. As a result, large amounts of particles are deposited on the bottom of the cavity under the influence of gravity, which gives rise to the most severe two-phase separation. The solid volume fraction of sample C is 57.38 %.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

Simulation on the Two-phase Separation of Powder Injection Molding 316L Stainless Steel

Feng¹,

Qiao²,

Dong³

et al. 2019

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By utilizing the FLUENT software, finite element simulation analysis was performed on the two-phase separation of powder injection molding, and the simulation results were verified through experiment. As indicated in the simulation results, the optimal process parameters for the injection molding of 316L stainless steel sample were to inject at 70 MPa and 140 °C, at an injection speed of 3.49 cm3/s. Under these conditions, the maximum average solid volume fraction in observation area of the sample was 57.68 %. Additionally, it was discovered that while preparing 316L stainless steel was prepared by powder injection molding, the smaller the average porosity of the sample, the greater the Vickers hardness. And then the higher the average solid volume fraction simulated the slighter the two-phase separation between the powder and the binder. DOI: http://dx.doi.org/10.5755/j01.ms.25.3.19137

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Section: Simulation Results and Analysismentioning

confidence: 99%

Simulation on the Two-phase Separation of Powder Injection Molding 316L Stainless Steel

Feng¹,

Qiao²,

Dong³

et al. 2019

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“…It reduces the time, cost and resources. Park et al (2017) investigated the factors that effects on powder-binder (P-B) separation in powder injection modelling. The factors are power size, initial powder volume, injection temperature and shear rate.…”

Section: Literature Reviewmentioning

confidence: 99%

Distance to default and probability of default: an experimental study

Dar

Qadir

2019

J Glob Entrepr Res

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The distance to default (DD) and the probability of default (PD) are the essential credit risks in the finance world. It provides an estimate of the likelihood that a borrower will be unable to meet its debt obligations. It is crucial to know which parameter effects more on DD and PD so that investor will prevent future risks. Purpose: The purpose of this study is to investigate the effects of four parameters (asset value of firm V, value of debt X, interest rate r and the volatility of asset σ at one period) on DD and PD. Design/methodology/approach: The Black Scholes model is used to estimate the DD and PD. To explore the effects of parameters, the author used Taguchi's L27 orthogonal array, analysis of variance (ANOVA) and analysis of mean (ANOM), and the analysis will carry out using MINITAB software. The effect of parameters will be discussed with the main effect plot and the average response on a response plot showing the best outcomes. Findings: ANOM identified the optimal combination where the DD is a maximum, and the PD is a minimum. The percentage contribution of each input factor on DD and PD was estimated by conducting ANOVA. The above two (DD and PD) exists an inverse relationship. Research limitations/implications: The rank or percentage contribution will vary with change in the data set.

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“…It reduces cost, time and resources (Phadke, 1989). Park et al (2017) investigated the effect of processing and material conditionsinjection temperature, initial powder volume fraction and share rate -on powder binder (PB) was investigated by Taguchi approach. It was identified that the initial powder volume fraction parameter among the parameters is the most important parameter for PB separation.…”

Section: Literature Reviewmentioning

confidence: 99%

Studies on European Call Option of Binomial Option Pricing Model Using Taguchis L27 Orthogonal Array

Dar

Anuradha

2019

IJIE

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There are several parameters affecting the European call option value such as strike price K, the price of an underlying asset S 0 , volatility σ, time period t and interest rate r. In this paper, the binomial option pricing model is utilised to assess the estimation of a European call option. To explore the effects of input factors, Taguchi method of orthogonal L27 design experiment is carried out using an orthogonal array, analysis of variance (ANOVA), and analysis of mean (ANOM) were used. The purpose of this paper to find the best optimal combination by varying the parameters at constant interest rate r and the effects of parameters are discussed. The ANOM distinguishes which parameter influences higher on European call option value and furthermore, it demonstrates the best combination where the European call option will get the greatest value. The ANOVA estimates the percentage contribution of every parameter on European call option and the analysis is carried out using MINITAB software.

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Effects of material and processing conditions on powder-binder separation using the Taguchi method

Cited by 14 publications

References 16 publications

Simulation on the Two-phase Separation of Powder Injection Molding 316L Stainless Steel

Simulation on the Two-phase Separation of Powder Injection Molding 316L Stainless Steel

Distance to default and probability of default: an experimental study

Studies on European Call Option of Binomial Option Pricing Model Using Taguchis L27 Orthogonal Array

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