Tag Archives: Efficiency

Figure 2. Flow process of die casting.

Optimizing Sustainability in Motorcycle Die Casting: Integrating Waste Heat Recovery and Metal Scrap Recycling

This introduction paper is based on the paper “Optimizing Motorcycle Manufacturing Sustainability through the Integration of Waste Heat Recovery and Metal Scrap Recycling: A Process Engineering Approach” published by “Leuser Journal of Environmental Studies”. 1. Overview: 2. Abstract: The automotive industry manufacturing has experienced rapid growth 2–3 times by 2050, with motorcycles constituting around 30%

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Figure 1. schematic views of; a) vertical; b) horizontal and c) curved die chill casting processes

Data Models for Casting Processes – Performances, Validations and Challenges

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

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Fig. 4. Schematic view of individual devices in the casting workplace: (1 – high pressure casting machine, 2 – machine extraction, 3 – cutting press, 4 – data matrix code punch, 5 – foundry mould treatment manipulator, 6 – cooling bath, 7 – holding furnace, 8 – handling robot, 9 – robotic, automatic palletizing)

Green Innovations in Foundry Production Processes of Automobile Castings

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

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Figure 1. Systematic workflow to analyze datasets, preprocessing, selecting models, and evaluating them to improve die-casting part classification systems.

Improving Die-Casting Part Classification using Transfer Learning with Deep Convolutional Neural Networks

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

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Fig.1 Die casting specimens

Effects of Trace Variation of Al Content on Microstructure and Properties of HPDC Mg-4Sm-2Al Alloy

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

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Interface Microstructure and Evolution Mechanism of Wire Arc Additively Manufactured H13 Steel-Copper Hybrid Components

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

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Figure 3: Experimentation setup: vertical die casting machine of the capacity of 100 Tons (Industrial caseCGL)

Analysis and Optimisation of High Pressure Die Casting Parameters to Achieve Six Sigma Quality Product Using Numerical Simulation Approach

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

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Figure 1 A typical structure of CPU package and heat sink module.

Challenges in Cooling Design of CPU Packages for High-Performance Servers

This introduction paper is based on the paper “Challenges in Cooling Design of CPU Packages for High-Performance Servers” published by “Heat Transfer Engineering”. 1. Overview: 2. Abstract: Cooling technologies that address high-density and asymmetric heat dissipation in CPU packages of high-performance servers are discussed. Thermal management schemes and the development of associated technologies are reviewed

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Fig. 6. Sketch of the casting technique used by Gibbs Die Casting to cast Mg alloys [144].

Progress and prospects in Mg-alloy super-sized high pressure die casting for automotive structural components

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

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Fig. 4 - Porosity identify by a) X-ray on components from the first experimental activity, b) FEM simulations, c) X-ray on components from the final experimental activity (optimization of process parameters)

Numerical and experimental analysis of a high pressure die casting Aluminum suspension cross beam for light commercial vehicles

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

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