Category Archives: Technical Data-E

Figure 11. Casting produced by gray iron lost foam (left) and aluminum investment

From Classroom to Cast House: How Simulation Training is Forging the Future of HPDC

This technical brief is based on the academic paper “Promoting Distance Learning in Metal Casting by Implementing Four Simulation Activities” by Dr. Sam Ramrattan and Dr. Matthew Cavalli P.E., Western Michigan University, published in the Proceedings of the 2024 ASEE North Central Section Conference. It is summarized and analyzed for HPDC professionals by the experts

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Figure 2. Integration of Value Stream Mapping with Simulation

Unlocking Hidden Efficiency: How Value Stream Mapping Transforms Die Casting Operations

This technical brief is based on the academic paper “Productivity Improvement by Value Stream Mapping in Die Casting Industry” by Pradip Gunaki and S.N. Teli, published in the Journal of Emerging Technologies and Innovative Research (JETIR) (2015). It is summarized and analyzed for HPDC professionals by the experts at CASTMAN. Keywords Executive Summary The Challenge:

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PRODUCTION OF SINGLE CYLINDER ENGINE COMPONENTS THROUGH HIGH PRESSURE DIE CASTING IN SEDI ENUGU.

PRODUCTION OF SINGLE CYLINDER ENGINE COMPONENTS THROUGH HIGH PRESSURE DIE CASTING IN SEDI ENUGU

From Theory to Production: A Practical Guide to High-Pressure Die Casting for Engine Components This technical brief is based on the academic paper “PRODUCTION OF SINGLE CYLINDER ENGINE COMPONENTS THROUGH HIGH PRESSURE DIE CASTING IN SEDI ENUGU” by Nwonye E.I., Ilochonwu C.E., and Nwajagu C.O., published in Light Metals 2013 by TMS (The Minerals, Metals

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Figure 4. Cold Chamber Process (Groover, 2007)

Process and Tool Design for the High Integrity Die Casting of Aluminum and Magnesium Alloys

A Blueprint for High-Integrity HPDC: Tackling Porosity in Structural Aluminum & Magnesium Castings This technical brief is based on the academic paper “Process and Tool Design for the High Integrity Die Casting of Aluminum and Magnesium Alloys” by Varun Nandakumar, presented as a Master’s Thesis at The Ohio State University (2014). It is summarized and

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Figure 2. Alternator resonance frequency characterization test setup

Prevention of the Fracture Problem Occurring in Automotive Alternator Heatsink Blocks Using Artificial Intelligence

AI-Powered Design: Eliminating Heatsink Fracture Before It Happens This technical brief is based on the academic paper “Prevention of the Fracture Problem Occurring in Automotive Alternator Heatsink Blocks Using Artificial Intelligence” by Dinçer Kökden, Adem Egi, Emre Bulut, Emre İsa Albak, İbrahim Korkmaz, and Ferruh Öztürk, published in Applied Sciences (2024). It is summarized and

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Figure 2.2 Die casting machine

Proto Die Casting vs. 3D Printing: A Data-Driven Guide to Smarter Aluminum Prototyping

This technical brief is based on the academic paper “Process Selection on the Basis of Time Cost and Quality for Development Components of Aluminium Bracket” by Piyush Shukla, published in the International Journal for Multidisciplinary Research (IJFMR) (Volume 6, Issue 4, July-August 2024). It is summarized and analyzed for HPDC professionals by the experts at

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Fig. 7. Example of typical injection mold for automotive industry holding geometry for mirrored parts (left and right side of the vehicle)

Neural Network-Based Model for Supporting the Expert Driven Project Estimation Process in Mold Manufacturing

This introduction paper is based on the paper “Neural Network-Based Model for Supporting the Expert Driven Project Estimation Process in Mold Manufacturing” published by “Strojniški vestnik – Journal of Mechanical Engineering”. 1. Overview: 2. Abstract: One of the crucial activities for running a successful mold manufacturing business is project estimation. The estimation process is an

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Figure 4 Use Case Diagram

Slash Downtime, Boost Reliability: A Data-Driven Model for Die Casting Machine Maintenance

This technical brief is based on the academic paper “Preventive Maintenance Modeling on Die Casting Machines with Information Systems” by Tri Pujadi, Bahtiar H. Simamora, Vikas Kumar, Yulia Magdalena, Witarsjah, Yunita Kartika Sari, and Satya Windy, published in the Proceedings of the International Conference on Industrial Engineering and Operations Management (2021). It is summarized and

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Figure 2: Filling of a short rectangular die for Re=500.

Modelling the High Pressure Die Casting Process Using SPH

This introduction paper is based on the paper “Modelling the High Pressure Die Casting Process Using SPH” published by “CSIRO Mathematical and Information Sciences, Victoria, Australia”. 1. Overview: 2. Abstract: In this paper we review the progress in the SPH modelling of HPDC that has occurred over the past four years of this CAST funded

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Figure 8. Division of unbounded undercut feature: (a) extension of shortest non-convex edges, (b) creating a surface patch, (c) simple undercut feature No. 1 and (d) simple undercut feature No. 2.

Automated identification of complex undercut features for side-core design for die-casting parts

The content of this introduction paper is based on the article “Automated identification of complex undercut features for side-core design for die-casting parts” published by “SAGE Publications on behalf of the Institution of Mechanical Engineers”. 1. Overview: 2. Abstract: This article describes automated identification, classification, division and determination of release direction of complex undercut features

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