Tag Archives: aluminum alloys

Fig. 1 Turbulence and dross formation in the melt at the outlet of holding furnace [1]

The Influence of Thermal History on the Microstructure and Mechanical Properties of AlSi8Cu2Fe Alloy

The Hidden Cost of Melt Holding: Unpacking the Effects of Cyclic Thermal Exposure on AlSi8Cu2Fe Alloy This technical summary is based on the academic paper “The Influence of Thermal History on the Microstructure and Mechanical Properties of AlSi8Cu2Fe Alloy” by Jan Šerák, Dalibor Vojtěch, and Cyril Šimon, published in Manufacturing Technology (2020). Keywords Executive Summary

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Fig. 1. Bottom pouring furnace.

Tribological Behaviour of Cast In-situ Al-Al2O3 Composite Developed by Stir Casting Using V2O5 Particles

Boosting Wear Resistance in Al-Si Alloys: A Breakthrough with V2O5 Particles in In-Situ Composites This technical summary is based on the academic paper “Tribological Behaviour of Cast In-situ Al-Al2O3 Composite Developed by Stir Casting Using V2O5 Particles” by Amneesh Singla, Rajnish Garg, and Yashvir Singh, published in the Journal of the Chinese Society of Mechanical

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Fig:7 Blowhole

Defect analysis and remedies in the High Pressure Diecasting Process with ADC-12 Alloy

Mastering ADC-12 Alloy: A Practical Guide to HPDC Defect Analysis and Remedies This technical summary is based on the academic paper “”Defect analysis and remedies in the High Pressure Diecasting Process with ADC-12 Alloy”. – A Technical review.” by R.Govindarao, Dr.K.Eshwara Prasad(Rted), and P Srinivasa Rao, published in American Journal of Multidisciplinary Research & Development

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Figure 1. Aluminum in the automotive industry, model Audi A2

Application of Aluminum and ITS Alloys in the Automotive Industry With Special Emphasis PN Wheel Rims

The Rise of Automotive Aluminum Casting: A Technical Review of Lightweighting Trends and Wheel Rim Innovations This technical summary is based on the academic paper “Application of Aluminum and ITS Alloys in the Automotive Industry With Special Emphasis PN Wheel Rims” by Dragan Adamović, Tomislav Vujinović, Fatima Živić, Jelena Živković, and Marko Topalović, published in

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Fig. 5. Microstructure of AlSi7Mg0.3 whith 0.2% Zr, with HT cast into metal mold, etchant 0.5% HF.

Heat Treatment of AlSi7Mg0.3 Aluminium Alloys with Increased Zirconium and Titanium Content

Unlocking Superior Strength: A Deep Dive into AlSi7Mg0.3 Heat Treatment with Zr and Ti Additives This technical summary is based on the academic paper “Heat Treatment of AlSi7Mg0.3 Aluminium Alloys with Increased Zirconium and Titanium Content” by E. Kantoríková, M. Kuriš, R. Pastirčák, published in ARCHIVES of FOUNDRY ENGINEERING (2021). Keywords Executive Summary The Challenge:

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Fig. 5. (a) Mold lling with three overows attached model, (b) mold lling of part with ve overows.

A Simulation and Fabrication Works on Optimization of High Pressure Aluminum Die Casting Part

From Hours to Production: How Simulation-Driven Design Eliminates HPDC Defects This technical summary is based on the academic paper “A Simulation and Fabrication Works on Optimization of High Pressure Aluminum Die Casting Part” by S.Ö. ERTÜRK, L.C. KUMRUOĞLU, and A. ÖZEL, published in ACTA PHYSICA POLONICA A (2014). It has been analyzed and summarized for

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Figure 15: Casting process of liquefied gray cast iron alloy in an electric arc furnace.

Development of Technology for Obtaining Thin-Walled Details from Gray Cast Iron in Sand-Clay Moulds

Unlocking New Potential in Thin-Walled Gray Cast Iron Casting: A Proven Method to Boost Fluidity and Extend Service Life by 30% This technical summary is based on the academic paper “Development of Technology for Obtaining Thin-Walled Details from Gray Cast Iron in Sand-Clay Moulds” by Jamshidbek Khasanov et al., published in the International Journal of

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Figure 1 Experimental schematic diagram of aluminumalloymelt quality analysis

Enhanced Melt Quality Rapid Analysis of Aluminum Alloy Assisted by Machine Learning

Revolutionizing Aluminum Casting: How Machine Learning Delivers Rapid, Accurate Melt Quality Analysis This technical summary is based on the academic paper “Enhanced Melt Quality Rapid Analysis of Aluminum Alloy Assisted by Machine Learning” by Yunxiang Tan, Juhuai Ma, Haifeng Liu, Jianlei Jia, Liguo Yang, and Qingyan Xu, presented at The 75th World Foundry Congress (2024).

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Fig. 1. a) cross section of a slab with solidification cracks, b) Reflection configuration: Excitation laser and detection laser are arranged at the same spot. Ultrasonic waves are induced in the sample by an pulsed excitation laser (red), propagate through the sample and get reflected or scattered by interfaces (cracks, blowholes,…). The detection of reflected and scattered ultrasonic waves is realized with a two wave beam mixing interferometer (green). c) Transmission configuration: Excitation laser (red) and detection laser (green) are arranged at the opposite side of the sample.

Detection of Casting Defects in Aluminum Slabs by Laser Ultrasonic Measurements

Real-Time Defect Detection: How Laser Ultrasonic Testing Is Revolutionizing Aluminum Casting Quality Control This technical summary is based on the academic paper “Detection of Casting Defects in Aluminum Slabs by Laser Ultrasonic Measurements” by Jürgen ROITHER et al., published in the proceedings of the 19th World Conference on Non-Destructive Testing (2016). It has been analyzed

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Figure 1: Microstructures of Al-Si-Mg-Fe alloys produced by (a) sand cast (b) investment cast, and (c) die cast processes

EVALUATION OF DRY SLIDING WEAR CHARACTERISTICS AND CONSEQUENCES OF CAST Al-Si-Mg-Fe ALLOYS

Unlocking Peak Performance: How Casting Method Dictates Al-Si-Mg-Fe Alloy Wear Resistance This technical summary is based on the academic paper “EVALUATION OF DRY SLIDING WEAR CHARACTERISTICS AND CONSEQUENCES OF CAST Al-Si-Mg-Fe ALLOYS” by A.Chennakesava Reddy and S. Madhava Reddy, published in The Icfai University Journal of Mechanical Engineering (2010). Keywords Executive Summary The Challenge: Why

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