This introduction paper is based on the paper “Data Models for Casting Processes – Performances, Validations and Challenges” published by “IOP Publishing”. 1. Overview: 2. Abstract: Data-driven models with their associated data learning and training schemes can be utilised for the light metal casting processes. This paper presents the basis of data model building processes
This introduction paper is based on the paper “Green Innovations in Foundry Production Processes of Automobile Castings” published by “Rocznik Ochrona Środowiska”. 1. Overview: 2. Abstract: The paper deals with individual possibilities for energy savings and the use of chemicals in the production of automotive components. Specifically, it focuses on operating an aluminium foundry where
This introduction paper is based on the paper “Improving Die-Casting Part Classification using Transfer Learning with Deep Convolutional Neural Networks” published by “IEOM Society International”. 1. Overview: 2. Abstract: Product quality is a crucial factor in the manufacturing process today, as it determines the company’s competitive advantages and the consumer’s requirements. The problem arises from
This introduction paper is based on the paper “Effects of Trace Variation of Al Content on Microstructure and Properties of HPDC Mg-4Sm-2Al Alloy” published by “Special Casting & Nonferrous Alloys”. 1. Overview: 2. Abstract: SA42 and Mg-4Sm-2.6Al (SA42.6) alloys were fabricated by HPDC process, and influence of trace Al content on mechanical properties was systematically
This introduction paper is based on the paper “Interface microstructure and evolution mechanism of wire arc additively manufactured H13 steel-copper hybrid components” published by “Journal of Materials Research and Technology”. 1. Overview: 2. Abstract: The H13 steel-copper hybrid structure fabricated by additive manufacturing (AM) can achieve enhanced cooling of the system while ensuring certain high-temperature
This introduction paper is based on the paper “Analysis and Optimisation of High Pressure Die Casting Parameters to Achieve Six Sigma Quality Product Using Numerical Simulation Approach” published by “International Journal of Engineering and Management Research”. 1. Overview: 2. Abstract: A numerical simulation approach is proposed to predict the optimal parameter setting during high pressure
This introduction paper is based on the paper “Strength of Salt Core Composed of Alkali Carbonate and Alkali Chloride Mixtures Made by Casting Technique” published by “Materials Transactions / Japan Foundary Engineering Society”. 1. Overview: 2. Abstract: The strength of four binary systems NaCl-Na2CO3, KCI-K2CO3, KCI-NaCl and K2CO3-Na2CO3 was investigated in order to develop expendable
This introduction paper is based on the paper “Casting Microstructure Inspection Using Computer Vision: Dendrite Spacing in Aluminum Alloys” published by “Metals”. 1. Overview: 2. Abstract: This paper investigates the determination of secondary dendrite arm spacing (SDAS) using convolutional neural networks (CNNs). The aim was to build a Deep Learning (DL) model for SDAS prediction
![Fig. 6. Sketch of the casting technique used by Gibbs Die Casting to cast Mg alloys [144].](https://castman.co.kr/wp-content/uploads/image-2016-368x342.webp)
This introduction paper is based on the paper “Progress and prospects in Mg-alloy super-sized high pressure die casting for automotive structural components” published by “Journal of Magnesium and Alloys”. 1. Overview: 2. Abstract: Since the introduction of Tesla’s Giga-Casting process, the automotive industry has widely accepted the concept of super-sized structural components due to their
This introduction paper is based on the paper “Numerical and experimental analysis of a high pressure die casting Aluminum suspension cross beam for light commercial vehicles” published by “La Metallurgia Italiana”. 1. Overview: 2. Abstract: The purpose of the present paper is to enhance and deepen the lightweight optimization in automotive, in particular for commercial
