Powder Injection Molding of Ceramic Engine Components for Transportation

Lenz, Juergen; Enneti, Ravi K.; Onbattuvelli, Valmikanathan P.; Kate, Kunal H.; Martin, Renee; Atre, Sundar V.

doi:10.1007/s11837-012-0264-x

Cited by 16 publications

(10 citation statements)

References 7 publications

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“…Indeed, this approach permits to avoid ''expensive time-consuming and time-and-error iterations'' as stated by Kate et al [14]: outcomes have shown that there is a good agreement between experimental and simulation results [15]. As an example, it is possible to indicate studies that have simulated the behavior of different materials: polymers [16][17][18][19], feedstocks [20,21], Si 3 Ni 4 [22,23], AlN [14], and fiber-reinforced polymers [24]. Greene et al [25] compared shrinkage from PVT measurements of carbonyl iron feedstock with predictions from a modified two-domain Tait-PVT model and Kate et al [26] estimated feedstock properties according to different models.…”

Section: Materials Property Influencesmentioning

confidence: 97%

Review of Factors that Affect Shrinkage of Molded Part in Injection Molding

Annicchiarico¹,

Alcock²

2014

Materials and Manufacturing Processes

122

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Purpose: This paper reviews the factors affecting shrinkage of molded parts in injection molding. Methods: A selective screening of the papers published in the last 10 years was adopted. The review was organized according to molding scale (macro or micro) and by considering four branches of influence: material behaviors, processing parameters, mold, and specimen design. Results: Within the interval of confidence, at the macroscale, critical processing parameters were the temperatures, the packing parameters, cooling time, and injection speed; temperatures and packing parameters resulted critical factors at the microscale as well. Concerning the design aspects, the runner size and the ribs affect shrinkage at the macro and microscale, respectively. The analysis of the literature review has shown an absence of statistical approach for determining the material influences, a lack of information on shrinkage occur in powder-molded parts and the absence of data in specimen with dimensions below 10 m. Conclusions: The review collected the factors that affect shrinkage in injection molding, and identified three possible areas for further works.

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Section: Materials Property Influencesmentioning

confidence: 97%

Review of Factors that Affect Shrinkage of Molded Part in Injection Molding

Annicchiarico¹,

Alcock²

2014

Materials and Manufacturing Processes

122

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“…A strong increase in the thermal conductivity has been observed between 125°C and 64°C for an alumina feedstock and between 184°C and 154°C for a silicon nitride feedstock. 1,24 The variation in specific heat of the feedstock with temperature is shown in Fig. 5.…”

Section: Resultsmentioning

confidence: 99%

“…For example, an increase in efficiency of greater than 10% has been previously reported by coating various engine components with ceramics. [1][2][3] However, the requirement of complex-shaped, precision parts for these applications is a major barrier in taking advantage of enhanced properties provided by ceramics. The high hardness of the ceramics makes machining the complex parts difficult and expensive, thus, minimizing the available manufacturing options to produce the parts economically.…”

Section: Introductionmentioning

confidence: 99%

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Powder Injection Molding of Ceria-Stabilized, Zirconia-Toughened Mullite Parts for UAV Engine Components

Martin

Vick

Enneti

et al. 2013

JOM

Self Cite

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Powder injection molding (PIM) of ceria-stabilized, zirconia-toughened mullite composites were investigated in the present article with the goal of obtaining performance enhancement in complex geometries for energy and transportation applications. A powder-polymer mixture (feedstock) was developed and characterized to determine its suitability for fabricating complex components using the PIM process. Test specimens were injection molded and subsequently debound and sintered. The sintered properties indicated suitable properties for engine component applications used in unmanned aerial vehicles (UAVs). The measured feedstock properties were used in computer simulations to assess the mold-filling behavior for a miniature turbine stator. The results from the measurements of rheological and thermal properties of the feedstock combined with the sintered properties of the ceria-stabilized, zirconia-toughened mullite strongly indicate the potential for enhancing the performance of complex geometries used in demanding operating conditions in UAV engines.

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“…Numerous works using such software packages have been reported, e.g., Moldflow ® in the fabrication of window frames using rice husk filled polyethylene composites [94], Moldflow ® combined with Autodesk Inventor r for modeling and simulating shallow and flat thin walled molds of a polymer composite [5,6], Moldflow ® to determine significant parameters affecting the shrinkage of molded components [69], Moldflow ® to study material distribution and melt flow behaviour in sandwich molding process [92], Moldflow ® combined with the Taguchi method to determine the optimal design parameters by minimizing the warpage of gas assisted molding components [14], and Moldflow ® integrated with the Taguchi method to study the effects of processing parameters on the molding of ultra-thin wall polymer components [102]. Apart from that, Moldflow ® was applied to some other similar works also, e.g., simulation of feedstock properties for powder injection molding of thermal management devices [86], feedstock properties and injection molding simulations of bimodal mixtures [49], measurements of powder-polymer mixture properties and their use in powder injection molding simulations [48], powder injection molding of ceramic engine components for transportation [61], effects of nanoparticle addition on processing of alloys [85], powder injection molding of parts for UAV engine components [74], etc.…”

Section: Hard Computing Techniquesmentioning

confidence: 99%

Process parameter optimization of plastic injection molding: a review

Kashyap

Datta

2015

Int J Plast Technol

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Over the years, injection molding has been a premier manufacturing technique in the production of intricate polymer components. Its molding efficiency rests on the shoulders of multiple process and machine parameters, which dictate the final product quality in terms of multiple output responses. It is imperative to state that a precise optimization of various input parameters is paramount for achieving the desired quality indices. In this article, a review of different techniques employed till date for optimizing various injection molding parameters is presented along with their advantages and limitations. It is found in the review that a complete intelligent technique operable without human interference is yet to be developed.

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Powder Injection Molding of Ceramic Engine Components for Transportation

Cited by 16 publications

References 7 publications

Review of Factors that Affect Shrinkage of Molded Part in Injection Molding

Review of Factors that Affect Shrinkage of Molded Part in Injection Molding

Powder Injection Molding of Ceria-Stabilized, Zirconia-Toughened Mullite Parts for UAV Engine Components

Process parameter optimization of plastic injection molding: a review

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