Tag Archives: Computer simulation

Fig. 1. Model of multi-valve

Simulation and Casting Process of Aluminum Alloy Multi-Way Valve Body with Various Gating Systems

Optimizing Complex Castings: A Gating System Simulation Deep Dive for Aluminum Valve Bodies This technical summary is based on the academic paper “Simulation and Casting Process of Aluminum Alloy Multi-Way Valve Body with Various Gating Systems” by Li Rong, Chen Lunjun, Su Ming, Zeng Qi, Liu Yong, and Wang Heng, published in ARCHIVES of FOUNDRY

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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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Fig. 1. Fuel pump system

Flaw Detection of Cast-Steel Safety Parts in Automotive Application

Beyond the Surface: Why CT Scanning is the Gold Standard for Detecting Defects in Automotive Cast-Steel Parts This technical summary is based on the academic paper “Flaw Detection of Cast-Steel Safety Parts in Automotive Application” by K.C. Dizdar, H. Sahin, M. Ardicli, D. Dispinar, published in ARCHIVES of FOUNDRY ENGINEERING (2022). Keywords Executive Summary The

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Figure 5a. Locations (A and B) for the micrographs in Figure 5b

Optimizing the Magnesium Die Casting Process to Achieve Reliability in Automotive Applications

This introduction paper is based on the paper “Optimizing the Magnesium Die Casting Process to Achieve Reliability in Automotive Applications” published by “SAE International”. 1. Overview: 2. Abstract: High pressure die casting is characterized by rapid die filling and subsequent rapid cooling of the molten metal in the die. These characteristics are favourable for magnesium

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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. 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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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 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.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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