Tag Archives: Efficiency

Fig. 1. Specimen on the Plate

Effect of Yttrium on the Microstructure of Gravity Die Cast A356 Alloy

Unlocking A356 Alloy Performance: How Yttrium Addition Refines Microstructure for Superior Castings This technical summary is based on the academic paper “Effect of Yttrium on the Microstructure of Gravity Die Cast A356 Alloy” by Ying Pio Lim and Wei Hong Yeo, published in Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering (MCM

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INFLUENCE OF DIFFERENT CASTING CONDITIONS AND THE FILTERING PROCESS ON THE ELECTRICAL RESISTANCE OF Al-ALLOY 99.7

Optimizing Electrical Resistivity in Al-Alloy 99.7: New Research on Casting and Filtering This technical summary is based on the academic paper “INFLUENCE OF DIFFERENT CASTING CONDITIONS AND THE FILTERING PROCESS ON THE ELECTRICAL RESISTANCE OF Al-ALLOY 99.7” by Terezija Poženel Kovačič, Mitja Petrič, Vitoslav Bratuš, and Maja Vončina, published in Materials and technology (2018). It

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Fig. 1 Gating system of casting and experimental tempering system [17]

Temperature Conditions Change in the High Pressure Die Casting mold Volume Depending on the Gating System Volume

This introduction paper is based on the paper “Temperature Conditions Change in the High Pressure Die Casting mold Volume Depending on the Gating System Volume” published by “Archives of Foundry Engineering”. 1. Overview: 2. Abstract: The high pressure die casting technology is characterized by high efficiency, which is given by pressing the liquid metal into

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Fig. 1 Wheel model.

Magnesium Alloy Wheel Structure Design and Wheel Casting Process Performance Analysis

From Blueprint to Reality: Using FEA to Perfect Magnesium Alloy Wheel Casting This technical summary is based on the academic paper “Magnesium Alloy Wheel Structure Design and Wheel Casting Process Performance Analysis” by Xin Jiang and Xinwei Lan, published in Journal of Materials Science and Engineering B (2022). Keywords Executive Summary The Challenge: Why This

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Fig. 2. Structure of the sand cast alloy(top left) and anodic layer (top right) and structure of the high pressure cast (bottom left) and anodic layer (bottom right) produced on the composite EN-ACAlSi9Cu3

INFLUENCE OF ALUMINIUM ALLOY ANODIZING AND CASTING METHODS ON STRUCTURE AND FUNCTIONAL PROPERTIES

Optimizing Anodized Aluminum Components: Why Your Casting Method is the Critical First Step This technical summary is based on the academic paper “INFLUENCE OF ALUMINIUM ALLOY ANODIZING AND CASTING METHODS ON STRUCTURE AND FUNCTIONAL PROPERTIES” by J. KONIECZNY, K.LABISZ, M. POLOK-RUBINIEC, A. WŁODARCZYK-FLIGIER, published in Arch. Metall. Mater. (2016). Keywords Executive Summary The Challenge: Why

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Figure 2 Dependence of die material service life at pressure die casting on pouring temperature

MATERIALS ON DIES FOR PRESSURE DIE CASTING

Unlocking Die Longevity: A Technical Guide to Selecting Die Casting Die Materials for Thermal Fatigue Resistance This technical summary is based on the academic paper “MATERIALS ON DIES FOR PRESSURE DIE CASTING” by E. RAGAN, J. DOBRÁNSKY, P. BARON, T. OLEJÁR, published in METALURGIJA (2012). Keywords Executive Summary The Challenge: Why This Research Matters for

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Fig. 1 Cast Lagerschild AS

Reliability evaluation in the production process of aluminum castings

Boosting Aluminum Casting Reliability: A Data-Driven Look at Productivity and Defects This technical summary is based on the academic paper “Reliability evaluation in the production process of aluminum castings” by Erika Jankajová and Martin Kotus, published in PRODUCTION ENGINEERING ARCHIVES (2015). Keywords Executive Summary The Challenge: Why This Research Matters for HPDC Professionals In today’s

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Figure 1. Cast aluminium (LM24) clutch housing component.

Analysis of cooling channels performance

The Surprising Truth About Conformal Cooling: A Deep Dive into Channel Performance This technical summary is based on the academic paper “Analysis of cooling channels performance” published by A. J. Norwood, P. M. Dickens, R. C. Soar, R. Harris, G. Gibbons & R. Hansell in the International Journal of Computer Integrated Manufacturing (2004). It was

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Fig. 1 Typical Sensor Recordings from a Casting Process

Reduction of rejects by combining data from the casting process and automatic X-ray inspection

From Process Data to Perfect Parts: Using AI for Casting Process Optimization and Reject Reduction This technical summary is based on the academic paper “Reduction of rejects by combining data from the casting process and automatic X-ray inspection” by Thomas STOCKER, Julius MEHRINGER, Dr. Henning FRECHEN, Dr. Frank SUKOWSKI, Felix SCHÄFER and Dennis FREIER, published

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Fig. 10. (Color online) DXCT of ADC12 sample 1: (a) total-energy 2D CT image, (b) low-energy 2D CT image, and (c) high-energy 2D CT image.

Micro X-ray Computed Tomography and Machine Learning Assessment of Impregnation Efficacy of Die-Casting Defects in Metal Alloys

Beyond Visual Inspection: Using Micro-XCT and AI for Flawless Impregnation Efficacy Assessment This technical summary is based on the academic paper “Micro X-ray Computed Tomography and Machine Learning Assessment of Impregnation Efficacy of Die-Casting Defects in Metal Alloys” by Ajith Bandara, Koichi Kan, Katanaga Yusuke, Natsuto Soga, Takagi Katsuyuki, Akifumi Koike, and Toru Aoki, published

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