Characterization of Green Part of Steel from Metal Injection Molding: An Analysis Using Moldflow

Widiantara, I Putu; Putri, Rosy Amalia Kurnia; Han, De‐hua; Bahanan, Warda; Lee, Eun Hye; Woo, Chang Hoon; Kang, Jee-Hyun; Ryu, Jungho; Ko, Young Gun

doi:10.3390/ma16062516

Cited by 5 publications

(4 citation statements)

References 34 publications

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“…Metal injection molding is an advanced manufacturing technique that allows the molding of metal parts with complex shapes and precise dimensions using a process similar to traditional plastic injection molding [194,195]. Taking a rheological approach, the feedstock for metal-IM technology is a suspension.…”

Section: Metal Injection Moldingmentioning

confidence: 99%

Advanced Injection Molding Methods: Review

Czepiel,

Bańkosz,

Sobczak-Kupiec

2023

Materials

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Injection molding is a method commonly used to manufacture plastic products. This technology makes it possible to obtain products of specially designed shape and size. In addition, the developed mold allows for repeated and repeatable production of selected plastic parts. Over the years, this technology grew in importance, and nowadays, products produced by injection molding are used in almost every field of industry. This paper is a review and provides information on recent research reports in the field of modern injection molding techniques. Selected plastics most commonly processed by this technique are discussed. Next, the chosen types of this technique are presented, along with a discussion of the parameters that affect performance and process flow. Depending on the proposed method, the influence of various factors on the quality and yield of the obtained products was analyzed. Nowadays, the link between these two properties is extremely important. The work presented in the article refers to research aimed at modifying injection molding methods enabling high product quality with high productivity at the same time. An important role is also played by lowering production costs and reducing the negative impact on the environment. The review discusses modern injection molding technologies, the development of which is constantly progressing. Finally, the impact of the technology on the ecological environment is discussed and the perspectives of the process were presented.

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Section: Metal Injection Moldingmentioning

confidence: 99%

Advanced Injection Molding Methods: Review

Czepiel,

Bańkosz,

Sobczak-Kupiec

2023

Materials

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“…First, the B part was considered as the most sophisticated shape as compared to the other two parts. It was suggested that positioning the gate near the part with a high sophistication would minimize the possibility of an undesirable phenomenon happening [28,31,32]. Secondly, The computational analysis conducted in this study is associated with the specific parameters employed, especially the gate location, injection pressure, and injection temperature.…”

Section: Moldflow Analysismentioning

confidence: 99%

Moldflow Simulation and Characterization of Pure Copper Fabricated via Metal Injection Molding

et al. 2023

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Metal injection molding (MIM) is a representative near-net-shape manufacturing process that fabricates advanced geometrical components for automobile and device industries. As the mechanical performance of an MIM product is affected by green-part characteristics, this work investigated the green part of pure copper processed with MIM using the injection temperature of ~180 °C and injection pressure of ~5 MPa. A computational analysis based on the Moldflow program was proposed to simulate the effectivity of the process by evaluating the confidence of fill, quality prediction, and pressure drop of three distinctive regions in the green part. The results showed that the ring and edge regions of the green parts showed localized behavior, which was related to processing parameters including the position of the gate. A microstructural observation using scanning electron microscopy and a 3D X-ray revealed that both the surface and body matrix consisted of pores with some agglomeration of micro-pores on the edges and ring part, while any critical defects, such as a crack, were not found. A microhardness analysis showed that the three regions exhibited a reasonable uniformity with a slight difference in one specific part mainly due to the localized pore agglomeration. The simulation results showed a good agreement with the microstructures and microhardness data. Thus, the present results are useful for providing guidelines for the sound condition of MIM-treated pure copper with a complex shape.

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“…Based on this, the present study employs Metal Injection Molding [11][12][13][14][15][16] (MIM) technology and designs experiments based on factorial design [17], producing gears and using a 3D structured light scanner to collect point cloud data of all gear shapes throughout the MIM process, thereby constructing a dataset containing 1101 point cloud datasets of small gears. Subsequently, the gears are manually annotated and segmented.…”

Section: Introductionmentioning

confidence: 99%

Micro-Gear Point Cloud Segmentation Based on Multi-Scale Point Transformer

Su,

Wang,

et al. 2024

Applied Sciences

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To address the challenges in industrial precision component detection posed by existing point cloud datasets, this research endeavors to amass and construct a point cloud dataset comprising 1101 models of miniature gears. The data collection and processing procedures are elaborated upon in detail. In response to the segmentation issues encountered in point clouds of small industrial components, a novel Point Transformer network incorporating a multiscale feature fusion strategy is proposed. This network extends the original Point Transformer architecture by integrating multiple global feature extraction modules and employing an upsampling module for contextual information fusion, thereby enhancing its modeling capabilities for intricate point cloud structures. The network is trained and tested on the self-constructed gear dataset, yielding promising results. Comparative analysis with the baseline Point Transformer network indicates a notable improvement of 1.1% in mean Intersection over Union (mIoU), substantiating the efficacy of the proposed approach. To further assess the method’s effectiveness, several ablation experiments are designed, demonstrating that the introduced modules contribute to varying degrees of segmentation accuracy enhancement. Additionally, a comparative evaluation is conducted against various state-of-the-art point cloud segmentation networks, revealing the superior performance of the proposed methodology. This research not only aids in quality control, structural detection, and optimization of precision industrial components but also provides a scalable network architecture design paradigm for related point cloud processing tasks.

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Characterization of Green Part of Steel from Metal Injection Molding: An Analysis Using Moldflow

Cited by 5 publications

References 34 publications

Advanced Injection Molding Methods: Review

Advanced Injection Molding Methods: Review

Moldflow Simulation and Characterization of Pure Copper Fabricated via Metal Injection Molding

Micro-Gear Point Cloud Segmentation Based on Multi-Scale Point Transformer

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