Powder Injection Molding of Mullite: The Study of Mechanical and Physical Properties of the Sintered Products Using Statistical Methods

2016 ◽  
Vol 690 ◽  
pp. 92-96
Author(s):  
Parinya Chakartnarodom ◽  
Nuntaporn Kongkajun ◽  
Nutthita Chuankrerkkul
Keyword(s):  
Flexural Strength ◽  
Injection Molding ◽  
Statistical Methods ◽  
Sintering Temperature ◽  
Hypothesis Test ◽  
Polyvinyl Butyral ◽  
Powder Injection Molding ◽  
Statistical Hypothesis ◽  
Powder Injection ◽  
Statistical Hypothesis Test

The aim of this work is to propose the application of statistical methods (linear regression and statistical hypothesis test) to analyze the effect of parameters used in powder injection molding including sintering temperature and the feedstock composition on the flexural strength, the porosity and the density of the sintered specimens of mullite prepared by powder injection molding (PIM) and using the composite binder consisting of 80 wt% polyethylene glycol (PEG) and 20 wt% polyvinyl butyral (PVB) for molding. The lab-scale plunger type PIM machine was used to prepare the specimens. The feedstock compositions were 50 to 54 vol% mullite, and the sintering temperatures were 1300 and 1400 °C. At level of significance 0.05 for statistical analysis, feedstock composition did not affect flexural strength, porosity, and density of the sintered specimens. For sintering temperature, the specimens sintered at 1400 °C have the greater density and the lower porosity. However, the flexural strength of the specimens sintered at 1300 °C and 1400 °C are statistically similar.

Application of Statistical Analysis in the Powder Injection Molding (PIM) of Mullite

2015 ◽  
Vol 659 ◽  
pp. 53-57
Author(s):  
Parinya Chakartnarodom ◽  
Nuntaporn Kongkajun ◽  
Nutthita Chuankrerkkul
Keyword(s):  
Statistical Analysis ◽  
Flexural Strength ◽  
Injection Molding ◽  
Hypothesis Test ◽  
Least Square Method ◽  
Powder Injection Molding ◽  
Least Square ◽  
Statistical Hypothesis ◽  
Powder Injection ◽  
Mullite Powder

In this work, the statistical analysis methods, including least square method and statistical hypothesis testing, were used to study the flexural strength and density of the specimens formed from mullite powder by powder injection molding (PIM). The feedstock for PIM consist of mullite powder and the composite binder consisting of 78 wt% polyethylene glycol (PEG), 20 wt% polyvinyl butyral (PVB), and 2 wt% stearic acid (SA). The PIM machine used in this work was the lab-scale plunger type. The compositions of the feedstock that could be injection molded by this machine were 50, 52, and 54vol% mullite. After molding, PEG in the green specimens was removed prior to sintering by soaking the specimens in the water at 60 °C for 24 hours while PVB and SA were removed during sintering. The sintering temperatures were 1300 to 1450°C. At significance level of 0.05, the least square method and the statistical hypothesis test showed that both feedstock compositions and sintering temperatures used in this work affected the densities of sintered specimens. However, the increasing of the flexural strength of sintered specimens was mainly by the increasing of the sintering temperature.

Statistical Analysis of Binder Behavior during Debinding Step in Powder Injection Molding (PIM)

2014 ◽  
Vol 970 ◽  
pp. 172-176 ◽  
Author(s):  
Parinya Chakartnarodom ◽  
Nutthita Chuankrerkkul
Keyword(s):  
Linear Regression ◽  
Injection Molding ◽  
Hypothesis Test ◽  
Powder Injection Molding ◽  
Statistical Hypothesis ◽  
Powder Injection ◽  
Dissolution Behavior ◽  
Linear Regression Method ◽  
Statistical Hypothesis Testing ◽  
Statistical Hypothesis Test

The aim of this paper is to propose the approach for applying statistical methods (linear regression and statistical hypothesis testing) to study the behavior of binder during binder removing (debinding) step in powder injection molding (PIM) and also the parameters that affect the binder removing rate. In this work, the binder system under the investigation is the composite binder of 85wt% polyethylene glycol (PEG) and 15 wt% poly (methyl methacrylate) (PMMA) where PEG can be removed from the green product by using warm water while PMMA is removed later during sintering. At 0.05 level of significance, the linear regression method and the statistical hypothesis test prove that the dissolution behavior of PEG can be described using Avarami equation. Furthermore, the dissolution rates of PEG were independent of all parameters used in this study including binder contents in the green products, temperatures, and powder sizes.

Powder Injection Molding of Mullite: The Study of Binder Dissolution Behavior during Debinding Step Using Statistical Methods

2016 ◽  
Vol 690 ◽  
pp. 87-91
Author(s):  
Parinya Chakartnarodom ◽  
Nuntaporn Kongkajun ◽  
Nutthita Chuankrerkkul
Keyword(s):  
Polyethylene Glycol ◽  
Injection Molding ◽  
Statistical Methods ◽  
Hypothesis Test ◽  
Powder Injection Molding ◽  
Water Soluble ◽  
Statistical Hypothesis ◽  
Powder Injection ◽  
Dissolution Behavior ◽  
Composite Binder

The purpose of this work is to use the statistical methods including linear regression and statistical hypothesis test to study the dissolution behavior of polyethylene glycol (PEG), a water-soluble binder, during debinding step of the green specimens of mullite formed by powder injection molding (PIM). Two systems of composite binders were investigated including (A) 80 wt% polyethylene glycol (PEG) and 20 wt% polyvinyl butyral (PVB) and (B) 78 wt% PEG, 20 wt% PVB, and 2 wt% steric acid (SA)The lab-scale plunger type PIM machine was used to prepare the green specimens consisting of mullite powder and the composite binder. The possible solid loadings of the green specimens that could be prepared by this machine were 50, 52, and 54 vol% mullite (50, 48, and 46 vol% binder). The debinding was done by soaking the green specimens in the warm water at 40 or 60 oC to remove PEG. At level of significance 0.05 for statistical analysis, the dissolution behavior of PEG can be fitted with Avarami equation. In addition, from the Avarami equation obtained from each experimental condition, the dissolution rate of PEG was independent of the parameters used in this study including solid loading in the green specimens, water temperatures for debinding, and composite binder systems.

Powder Injection Molding of Copper and the Effect of Sintering Temperature on Its Mechanical Properties

2010 ◽  
Author(s):  
Ali Keshavarz Panahi ◽  
Hossein Khoshkish
Keyword(s):  
Injection Molding ◽  
Copper Powder ◽  
Sintering Temperature ◽  
Powder Injection Molding ◽  
Powder Injection ◽  
Injection Molding Process ◽  
Capillary Rheometer ◽  
Molding Process ◽  
Molding Method ◽  
Different Temperatures

In this article, the fabrication steps of copper parts, using the powder injection molding method have been investigated. For the purpose of this study, first, several feedstocks were prepared by mixing copper powder (in volume percentages of 60, 64, 68, and 72%) and a thermoplastic binder. Due to the sensitivity of the mixing stage in the powder injection molding process, the Extrumixing method was utilized to appropriately mix the copper powder with the binder. Rheological characteristics of the different feedstocks were analyzed by means of a capillary rheometer. Based on this analysis, the feedstock having a 68 vol. % copper powder was selected as the optimum powder, out of which, samples shaped like tensile test specimens were successfully molded. These samples were later debinded by the solvent debinding method. Sintering of the pieces was carried out at different temperatures. Research showed that raising the sintering temperature leads to an increase of density and tensile strength of the specimens.

Advantages and Limitations of Using Nano Sized Powders for Powder Injection Molding Process: A Review

2012 ◽  
Vol 59 (2) ◽  
Author(s):  
Javad Rajabi ◽  
Norhamidi Muhamad ◽  
Abu Bakar Sulong ◽  
Abdolali Fayyaz ◽  
Azizah Wahi
Keyword(s):  
Injection Molding ◽  
Large Scale ◽  
Sintering Temperature ◽  
High Surface ◽  
Volume Ratio ◽  
Powder Injection Molding ◽  
Nano Particles ◽  
Powder Injection ◽  
Injection Molding Process ◽  
Molding Process

Powder injection molding (PIM) is among the most known forming techniques that use material powders. This technique has been widely evaluated for the production of large scale and small components using metal and ceramic powders. Nano particles have larger surface-to-volume ratio compared with large-sized particles, thus they display high surface area. Some merits in the application of nano-sized particles in the PIM process includes increasing its comparative density at a low sintering temperature, decreasing sintering temperature, decreasing grain size of sintered bodies, increasing hardness value, and improving surface properties. However, it also has several disadvantages, which include increasing the viscosity behaviour of feedstock, oxidation, and agglomeration. This article reviews current studies on the effects of nano-sized particles on the PIM process and finding solutions to address its disadvantages.

Production Method for Solid Oxide Fuel Cell Substrate Using Powder Injection Molding Process

2010 ◽  
Author(s):  
Amin Mirahmadi ◽  
Mostafa Rezaee Saraji
Keyword(s):  
Injection Molding ◽  
Thermal Shock ◽  
Sintering Temperature ◽  
Powder Injection Molding ◽  
Solid Oxide ◽  
Powder Injection ◽  
Injection Molding Process ◽  
Oxide Fuel ◽  
Power Cost ◽  
High Efficient

Solid oxide fuel cells (SOFC) are a promising high-efficient power generating system that can directly convert chemical fuel to electrical power. Cost reduction of materials and processing is one of the key issues for commercialization of SOFCs. Powder injection molding is a good solution for producing low cost and defect free components and is adapted with mass production. In this study, effect of five powder loading and sintering temperature and holding time on porosity and thermal shock characteristics of SOFC substrate is investigated. Finally, the results show powder loading is not key factor in porosity and thermal shock characteristics and it is better to use high powder loadings. High sintering temperature for long time leads to high density sintered parts and are not suitable for SOFC substrate. All parts show high thermal shock characteristics.

Parameter Estimation for Industrial Servomotor by Using Statistical Hypothesis Test

2019 ◽  
Vol 19 (2) ◽  
pp. 134-140
Author(s):  
Baek-Ju Sung ◽  
Sung-kyu Lee ◽  
Mu-Seong Chang ◽  
Do-Sik Kim
Keyword(s):  
Parameter Estimation ◽  
Hypothesis Test ◽  
Statistical Hypothesis ◽  
Statistical Hypothesis Test
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