Process Development and Product Quality of Micro-Metal Powder Injection Molding

Abdullahi, A.A.; Choudhury, Imtiaz Ahmed; Azuddin, M.

doi:10.1080/10426914.2015.1025977

Cited by 9 publications

(5 citation statements)

References 227 publications

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“…[171][172][173] A combination of experiments and simulations is usually used to study and predict the morphological development of semicrystalline polymers during injection molding. 21,38,40,[174][175][176][177][178][179] In the injection molding, in addition to flow filed, other processing parameters such as mold temperature, melt temperature, packing pressure, packing time and cooling time also directly affect the morphology of the material. When the packing pressure increases, the effect of the flow field on the molecular chain orientation increases.…”

Section: Injection Moldingmentioning

confidence: 99%

“…In recent years, through the combination of homemade equipment and high time and spatial resolution experimental techniques, some research groups have conducted research on FIC in complex processing environments and achieved some interesting results. [35][36][37][38][39][40] This review attempts to present the recent efforts on FIC under simple flow conditions to clarify the fundamental mechanism and under complex flow conditions to mimic real polymer processing. We mainly summarize the studies in the last 5 years.…”

Section: Introductionmentioning

confidence: 99%

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Recent progress in flow‐induced polymer crystallization

Nie

Fan

Cao

et al. 2022

Journal of Polymer Science

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During industrial processing, such as film blowing and injection molding, semicrystalline polymers have to be subjected to external flow. Flow changes the nucleation rate, crystal morphology and polymorphism of polymers. As flow can be tunable, polymeric products with different macroscopic performance and versatile applications can be obtained. Understanding polymer crystallization with the presence of flow, or namely flow-induced crystallization (FIC), is crucial to optimize polymer processing parameters and to understand phase transition under far-from equilibrium conditions, as FIC is essentially a typical nonequilibrium process. Current review aims to summarizes recent achievements of FIC during last five years from three aspects: theory, experiment and simulation. First, we present the FIC model and theory, including the classical conformational entropy reduction model, the newly developed POLYdisperse STRain Accelerated Nucleation Dynamics (PolySTRAND) Model and uFIC Model. Then we discuss the FIC experiments under both well-controlled flow and complex processing conditions. Finally, we show the recent advance of FIC in computer simulation. With the fast development in modeling efficiency, more detailed nucleation and structure transition processes during FIC can be obtained, which promote the study of molecular mechanisms of FIC.

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Section: Injection Moldingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recent progress in flow‐induced polymer crystallization

Nie

Fan

Cao

et al. 2022

Journal of Polymer Science

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“…Such microfluidic chips, including a high density of pneumatic microvalves and micromixers, were developed for parallel 870126J LAXXX10.1177/2472630319870126SLAS TECHNOLOGY: Translating Life Sciences InnovationLiu and Li research-article2019 1 Zhengzhou Institute of Light Industry, Zhengzhou, China 2 Harbin Institute of Technology, Harbin, China high-throughput screening of fluorescence-based singlecell assays. 15 The microchannels on the control layer and liquid layer were fabricated by several methods, such as hot embossing, 16 laser fabrication, 17 reactive ion etching, 18 electroforming, 19 and soft lithography. 20 The two layers were separated by an elastic PDMS thin membrane, which could be obtained from spin coating by controlling the equipment speed.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of a Three-Layer PDMS Pneumatic Microfluidic Chip for Micro Liquid Sample Operation

Liu

2020

SLAS Technology

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“…It combines the well-known polymer injection molding and powder metallurgy techniques. It consists of the following stages: feedstock preparation, injection molding, debinding of the green parts, and sintering of the brown parts [1]. The PIM process is stated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Algorithm for Improvement of a Wrongly Adverted Filling Profile in Injection Flow

Shi

Barrière

Cheng

et al. 2016

Metals

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Abstract:As Eulerian description is generally used for the simulation of filling flow problems in the powder injection molding process, and the governing equation of the filling state takes the form of an advection equation, the distortion can be easily produced when dealing with the filling process in complex cavities, such as the similar channels in shapes of K and L, inside which the phenomena of opposite joining and bypass are involved. In order to improve the precision, causes of the unrealistic results were analyzed in the present paper. A notion similar to the upwind method was introduced and a corresponding correction method was proposed to settle this problem. Based on the efficient explicit algorithm for PIM simulation, and by means of systematic operation to modify the fluid velocity field, the untrue impact of air flow, represented by the velocity field in front of the filling fronts, can be weakened. Then, the advection of the filling state can be mainly affected by the flow field behind the filling front. The simulation results show that the correction algorithm can effectively inhibit the distortion. The simulation of the filling processes in the complex cavities, inside which the flow directions will be subject to the sudden changes, can be realized correctly.

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Process Development and Product Quality of Micro-Metal Powder Injection Molding

Cited by 9 publications

References 227 publications

Recent progress in flow‐induced polymer crystallization

Recent progress in flow‐induced polymer crystallization

Fabrication of a Three-Layer PDMS Pneumatic Microfluidic Chip for Micro Liquid Sample Operation

Algorithm for Improvement of a Wrongly Adverted Filling Profile in Injection Flow

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