Tag Archives: Quality Control

Figure 6. Sample images of parts produced by compound (a–c) and hybrid casting (d); (a,b) AlSi7Mg0.3 LPDC subsize front axle carrier frame demonstrator with integrated EN AW-6060 extrusion, general (a) and detail view (b); (c) AlSi9Cu3 HPDC e-motor housing demonstrator with integrated aluminum tubes as cooling channels, cast by ae group AG, Gerstungen, Germany; (d) aerospace secondary structure hybrid bracket combining a CFRP and an aluminum HPDC component [131] (all images by Fraunhofer IFAM).

Advances in Metal Casting Technology: A Review of State of the Art, Challenges and Trends—Part II: Technologies New and Revived

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

Read More

The Effect of Microstructural Features, Defects and Surface Quality on the Fatigue Performance in Al-Si-Mg Cast Alloys

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.

Read More

Figure 6. Rows (a-d) represent Porosity, Shrinkage, Cold Fill, and Foreign body; columns (i-iii) show the isolated flaw class based on the flaw class, bounding boxes, and highlighted bounding boxes. Bounding box color indicates the grade as follows: grade 1 (blue), grade 2 (green), grade 3 (orange), grade 4 (brown).

Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography

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

Read More

Fig. 5Pareto diagram for production downtime in the foundry

Improving Production Efficiency and Quality in an Aluminum Processing Company Through Lean Practices

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

Read More

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

Read More

Figure 1. SDAS definition: the distance between two secondary dendrites.

Casting Microstructure Inspection Using Computer Vision: Dendrite Spacing in Aluminum Alloys

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

Read More

Figure 5: Comparison of real cast part and simulation results regarding cold shuts [2]

Correlation between process parameters and quality characteristics in aluminum high pressure die casting

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.

Read More

Effects of microstructure and casting defects on the fatigue behavior of the high-pressure die-cast AlSi9Cu3(Fe) alloy

Effects of microstructure and casting defects on the fatigue behavior of the high-pressure die-cast AlSi9Cu3(Fe) alloy

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

Read More

Figure 5. Cause-effect Diagram Flowline Defect

Implementation Six Sigma and Data Mining to Improve Die Casting Production Process at PT. AB

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

Read More

Abbildung 4.1: Darstellung der Biegestab-, Gießspiralen- und Zugstabkokille für die Salzkernprinzipuntersuchungen

Cavity and Composite Casting of Die Casting Components – Numerical Design Methods and Experimental Verification

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

Read More