This article introduces the paper [‘Advances in Metal Casting Technology: A Review of State of the Art, Challenges and Trends—Part II: Technologies New and Revived’] presented at the [‘Metals’] 1. Overview: 2. Research Background: Background of the Research Topic: The present text is the second part of an editorial written for a Special Issue entitled
This introduction paper is based on the paper “The Effect of Microstructural Features, Defects and Surface Quality on the Fatigue Performance in Al-Si-Mg Cast Alloys” published by “Jönköping University, School of Engineering, Dissertation Series No. 084”. 1. Overview: 2. Abstract: Global warming is driving industry to manufacture lighter components to reduce carbon dioxide (CO2) emissions.
This introduction paper is based on the paper “Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography” published by “MDPI”. 1. Overview: 2. Abstract: Process automation utilizes specialized technology and equipment to automate and enhance production processes, leading to higher manufacturing efficiency, higher productivity, and cost savings. The aluminum die casting industry
This introduction paper is based on the paper “IMPROVING PRODUCTION EFFICIENCY AND QUALITY IN AN ALUMINUM PROCESSING COMPANY THROUGH LEAN PRACTICES” published by “Innovative Mechanical Engineering”. 1. Overview: 2. Abstract: This paper analyzes the application of Lean methodologies to improve the efficiency and quality of production in the aluminum foundry MTC “Nissal.” The enterprise specializes
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 “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
This introductory paper is the research content of the paper [“Correlation between process parameters and quality characteristics in aluminum high pressure die casting”] published by [NADCA]. 1. Overview: 2. Abstract Aluminum high pressure die casting is one of the most productive manufacturing processes. The complexity of the parts rises and the quality requirements are increasing.
This article introduces the paper [‘Effects of microstructure and casting defects on the fatigue behavior of the high-pressure die-cast AlSi9Cu3(Fe) alloy’] presented at the [‘Procedia Structural Integrity’] 1. Overview: 2. Research Background: Background of the Research Topic: High-pressure die-cast (HPDC) components are increasingly utilized due to their “good flexibility and high productivity”, making them suitable
This introductory paper is the research content of the paper “Implementation Six Sigma and Data Mining to Improve Die Casting Production Process at PT. AB” published by Proceeding 7th International Seminar on Industrial Engineering and Management. 1. Overview: 2. Abstract PT. AB is a motorcycle industry manufacturer where quality measurement is crucial. This research aims
This introductory paper is the research content of the paper “Hohl- und Verbundguss von Druckgussbauteilen – Numerische Auslegungsmethoden und experimentelle Verifikation” published by [Fakultät Energie-, Verfahrens- und Biotechnik der Universität Stuttgart ]. 1. Overview: 2. Abstract According to the state oft the art the manufacturing processes of aluminum high pressure die casting (HPDC) parts with