Category Archives: Aluminium-E

Fig. 7 — XRD graphical analysis of the die casting parts Run 5, (b) Run 9, (c) Run 18, (d) Run 20, (e) Run 11 and (f) Run 24

Effects of process parameters on mechanical and metallurgical properties in high pressure die casting of AZ91 magnesium alloy

Unlocking Peak Performance in AZ91 Magnesium Alloy HPDC: A Guide to Optimizing Process Parameters This technical summary is based on the academic paper “Effects of process parameters on mechanical and metallurgical properties in high pressure die casting of AZ91 magnesium alloy” by Ali Serdar Vanli & Anil Akdogan*, published in Indian Journal of Engineering &

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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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Figure 2. Ishikawa Diagram for Casting defect analysis

Optimizing Casting Processes: A Data-Driven Approach to Eliminating Defects

This technical summary is based on the academic paper “OPTIMIZATION OF CASTING PROCESS BASED ON BOX BEHNKEN DESIGN AND RESPONSE SURFACE METHODOLOGY” by Rathish Raghupathy and K.S. Amirthagadeswaran, published in the International Journal for Quality Research (2014). It has been analyzed and summarized for technical experts by CASTMAN. Keywords Executive Summary The Challenge: Why This

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Fig. 1. a) Graphite crucible, b) Working chamber of the UMSA device: 1 –thermocouple, 2 – tested sample, 3 – induction coli, 4 – ceramic isolation

Characteristic of Cast Zn-Al-Cu Alloy Microstructure after Modification

Unlocking Superior Performance in Zinc Die Casting: A Deep Dive into Zn-Al-Cu Alloy Modification This technical summary is based on the academic paper “Characteristic of Cast Zn-Al-Cu Alloy Microstructure after Modification” by B. Krupińska, M. Krupiński, Z. Rdzawski, K. Labisz, and M. Król, published in ARCHIVES of FOUNDRY ENGINEERING (2014). Keywords Executive Summary The Challenge:

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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. 1 The multi-gated die, producing a ‘U’ shaped profile used in this study. Thickness of U-profile: ~2 mm, Length: ~300 mm, Width:~90 mm, Height: ~75 mm. Total casting: ~1300 g

Gate microstructure in an AlSi9MgMn High-Pressure Die Casting

The Hidden Feeding Mechanism in HPDC: How Shear Banding Through the Gate Boosts Casting Quality This technical summary is based on the academic paper “Gate microstructure in an AlSi9MgMn High-Pressure Die Casting” by Joseph Gleeson, Christopher M. Gourlay, Paul L. Schaffer, and Hans I. Laukli, published in the Proceedings of the 12th International Conference on

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Fig.9. Short shot experiments proved that it is vital to simulate shot sleeve process before cavity filling simulations.

Slash Porosity Defects: A Guide to Optimizing HPDC Shot Sleeve Simulation

This technical summary is based on the academic paper “Complete Simulation of High Pressure Die Casting Process” published by Matti Sirviö, Sami Vapalahti, and Jukka Väinölä of VTT Industrial Systems. It was analyzed and summarized for HPDC experts by CASTMAN experts with the help of LLM AI such as Gemini, ChatGPT, and Grok. Keywords Executive

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