Tag Archives: aluminum alloy

Fig.1. Cause and effect diagram (Ishikawa diagram) for casting porosity

Optimization of process parameters of High Pressure Die Casting process for ADC12 Aluminium alloy using Taguchi method

Unlocking Flawless Castings: A Taguchi-Based Guide to ADC12 Porosity Reduction This technical summary is based on the academic paper “Optimization of process parameters of High Pressure Die Casting process for ADC12 Aluminium alloy using Taguchi method” by Veeresh G Balikai, I G Siddlingeshwar, and Mahesh Gorwar, published in the International Journal of Pure and Applied

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Fig. 2. Microstructure of Al-Si-Mg-Mn and Al-Mg-Si-Mn alloys in the initial state and after chemical modification of eutectic (developed based on: www.alurheinfelden.com)

Microstructure Formation and Grain Refinement of Al-Mg-Si-Mn Casting Alloys

Optimizing Al-Mg-Si-Mn Casting Alloys: The Dual Role of Titanium in Grain Refinement and Microstructure Control This technical summary is based on the academic paper “Microstructure formation and grain refinement of Al-Mg-Si-Mn casting alloys” by Viktoriya Boyko, Edward Czekaj, Małgorzata Warmuzek, and Kostiantyn Mykhalenkov, published in Transactions of the Foundry Research Institute (2018). Keywords Executive Summary

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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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Fig 7. HPDC Machine

Flow pattern analysis of melted aluminum in shot sleeve of pressure dies casting and minimizing the defect

Slash HPDC Porosity: A CFD-Based Guide to Optimizing Shot Sleeve Flow This technical summary is based on the academic paper “Flow pattern analysis of melted aluminum in shot sleeve of pressure dies casting and minimizing the defect” by Rupesh Kumar Tiwari and Trilok Raj Chauhan, published in International Journal of Engineering Research and General Science

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Fig. 5. Simulation of filling a thin-wall casting mould when filled in: (a) 15%; (b) 30%; (c) 50%; (d) 70%; (e) 100%; and (f) in the course of casting solidification

The Effect of a Thin-Wall Casting Mould Cavity Filling Conditions on the Casting Surface Quality

Eliminating Thin-Wall Casting Defects: How Mould Filling Simulation Prevents Cold Shots and Scabs This technical summary is based on the academic paper “The Effect of a Thin-Wall Casting Mould Cavity Filling Conditions on the Casting Surface Quality” by A. Trytek, A.W. Orłowicz, M. Tupaj, M. Mróz, O. Markowska, G. Bąk, and T. Abram, published in

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Fig. 1. Prototype vehicle and the swing arm

Development and optimization of casting technology on part of the suspension of a heavy vehicle used in difficult environmental wetland conditions

Paper Title From Simulation to Suspension: Optimizing Aluminum Casting for Heavy-Duty Performance This technical summary is based on the academic paper “Development and optimization of casting technology on part of the suspension of a heavy vehicle used in difficult environmental wetland conditions” by Marcin Małysza, Robert Żuczek, Stanisław Pysz, Andrzej Gil, Piotr Wieliczko, Piotr Kowalski,

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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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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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Fig. 2: Microstructures of Al-5.0Cu-0.6Mn-0.5Fe alloy under pressures of 0 MPa (a) and 75 MPa (b) [19]

Research progress on squeeze casting in China

Beyond HPDC: Unlocking Superior Mechanical Properties with Squeeze Casting Technology This technical summary is based on the academic paper “Research progress on squeeze casting in China” by Li Yuanyuan, Zhang Weiwen, Zhao Haidong, You Dongdong, Zhang Datong, Shao Ming, and Zhang Wen, published in CHINA FOUNDRY (2014). Keywords Executive Summary The Challenge: Why This Research

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