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 “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%
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
The content of this introduction paper is based on the article “Performance Enhancement of BLDC Motor for Electric Vehicle Applications” published by “www.isteonline.in”. 1. Overview: 2. Abstract: In today’s technologically advanced society, people are increasingly seeking out more modern, convenient, and environmentally friendly options. One area where this is particularly evident is the transportation industry,
This introductory paper is the research content of the paper [“Predicting Die Cracking in Die-Cast Products Using a Surrogate Model Based on Geometrical Features”] published by [Computer-Aided Design & Applications] 1. Overview: 2. Abstracts or Introduction This paper explores the development and application of a surrogate model for predicting die cracks in die-cast products, focusing
This article introduces the paper ‘INDUSTRY 4.0 FOUNDRY DATA MANAGEMENT AND SUPERVISED MACHINE LEARNING IN LOW-PRESSURE DIE CASTING QUALITY IMPROVEMENT’ published by ‘International Journal of Metalcasting’. 1. Overview: 2. Abstracts or Introduction Low-pressure die casting (LPDC) is essential for producing high-performance aluminum alloy automobile wheel castings, where porosity defects are unacceptable. Maintaining the quality of
This article introduces the paper ‘DESIGNING AN INNOVATIVE MODULAR PLATFORM FOR SPORTS CARS USING THE GENERATIVE DESIGN METHOD’ published by ‘Università di Bologna’. 1. Overview: 2. Abstracts Traditional methods, where chassis components are tailored for each vehicle type, lack flexibility and efficiency. The concept of current modular platforms, allows the reuse of components across different
This article introduces the paper “SYSTEM UNDERSTANDING OF HIGH PRESSURE DIE CASTING PROCESS AND DATA WITH MACHINE LEARNING APPLICATIONS”. Overview: Research Background: Research Purpose and Research Questions: Research Methodology Main Research Results: Conclusion and Discussion: Future Follow-up Research: References: List of Abbreviations Copyright:
Jian Yang ab, Bo Liu ab, Yunbo Zeng c, Yiben Zhang ab, Haiyou Huang de, Jichao Hong bShow moreAdd to MendeleyShareCite https://doi.org/10.1016/j.engappai.2024.108514Get rights and content Abstract This research aims to provide a solution to the scarcity and fragmentation of industrial data on die casting aluminum alloys. Quantifying the coupling between die casting process-composition-properties of aluminum alloys through small datasets, is a critical step in predicting part properties and optimizing process selection. To
