Tag Archives: Die casting

Kaolinite and SiO2 ink coating fracture surface EDS & SEM images.

Energy efficiency of smelting of scrap aluminium in HPDC facilities

So-Yeon Yoo1,2, Ahrom Ryu1,2, Min-Seok Jeon3, Dongkyun Kim4, Kiwon Hong4, Sahn Nahm2, and Ji-Won Choi1,5,+ Abstract The aluminium industry is anticipated to witness a surge in demand, with projections of a two to three-fold increase by 2050. Meeting environmental objectives and addressing the growing emphasis on sustainability from both the industry and consumers seeking eco-friendly

Read More

3D characterization of pores expansion behavior in high pressure die castings during heat treatment

3D characterization of pores expansion behavior in high pressure die castings during heat treatment

Yihu Ma a, Wenbo Yu a, Zihao Yuan b, Chaosheng Ma a, Wantong Chen a, Mengwu Wu c, Shoumei Xiong bShow moreAdd to MendeleyShareCite https://doi.org/10.1016/j.matchar.2023.112710Get rights and content Highlights Abstract The expansion behavior of pores in high pressure die castings (HPDC) was carefully investigated by 3D reconstruction method along the radial direction of tensile bars in this work. The heat treatment designed with the solid solution temperature of 490 °C and solution time 30 min was respectively conducted on

Read More

Fig. 1. Photograph of the project under analysis. View: a) from the fixed half; b) from the mobile halfFig. 2. Thermal images of the mould used in the study: a) fixed half; b) mobile halfFig. 3. The result of an input simulationa)b)a)b)

Effect of Cavitation Phenomenon on the Quality ofHigh-Pressure Aluminium Alloy Castings

DOI:  https://doi.org/10.7494/jcme.2023.7.3.27 ABSTRACT This article presents an analysis of the effect of cavitation on the erosion of pressure moulds intended for the HPDC casting mould manufacturing process. Changes in the surface area of the eroded areas were investigated via photographs of castings at the beginning of the mould life as well as at 30%. The

Read More

Figure 6. Fluid velocity vector of the cylindrical riser tube (left) and the cone-shaped tube (right) [33]

Low- and High-Pressure Casting Aluminum Alloys: A Review

WRITTEN BY Helder Nunes, Omid Emadinia, Manuel F. Vieira and Ana Reis Submitted: December 5th, 2022 Reviewed: January 7th, 2023 Published: February 3rd, 2023 DOI: 10.5772/intechopen.109869 Abstract Low- pressure casting and high-pressure casting processes are the most common liquid-based technologies used to produce aluminum components. Processing conditions such as cooling rate and pressure level greatly influence the

Read More

Development of High-Ductility and Low-Hot-Tearing-Susceptibility Non-heat Treatment Al–Mg–Mn-Based Die Casting Alloy for Automotive Structural Parts

Development of High-Ductility and Low-Hot-Tearing-Susceptibility Non-heat Treatment Al–Mg–Mn-Based Die Casting Alloy for Automotive Structural Parts

International Journal of Metalcasting (2023)Cite this article Abstract Non-heat-treated Al–Mg-based die casting alloys have been developed for the structural parts of automobiles. In previous studies, alloy compositions with at least 1.0%Si have been proposed to reduce the hot tearing susceptibility (HTS). On the other hand, the increase in the Si content reduces the ductility. For some

Read More

3D characterization of pores expansion behavior in high pressure die castings during heat treatment

3D characterization of pores expansion behavior in high pressure die castings during heat treatment

Yihu Ma a, Wenbo Yu a, Zihao Yuan b, Chaosheng Ma a, Wantong Chen a, Mengwu Wu c, Shoumei Xiong bShow moreAdd to MendeleyShareCite aCenter of Materials Science and Engineering, School of Mechanical and Electronic Control Engineering, Beijing Jiaotong University, Beijing 100044, China.bSchool of Materials Science and Engineering, Tsinghua University, Beijing, 100084, ChinacSchool of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China https://doi.org/10.1016/j.matchar.2023.112710Get rights and content Highlights •The expansion behavior of HPDCed pores was

Read More

Figure 4. General scheme of the LPC cycle [33].

Low- and High-Pressure Casting Aluminum Alloys: A Review

WRITTEN BY Helder Nunes, Omid Emadinia, Manuel F. Vieira and Ana Reis Submitted: December 5th, 2022 Reviewed: January 7th, 2023 Published: February 3rd, 2023 DOI: 10.5772/intechopen.109869 FROM THE EDITED VOLUME Recent Advancements in Aluminum Alloys [Working Title] Dr. Shashanka Rajendrachari CHAPTER METRICS OVERVIEW 13 Chapter DownloadsView Full Metrics REGISTER TO DOWNLOAD FOR FREE Share Cite ADVERTISEMENT ADVERTISEMENT Abstract Low-

Read More

Figure 3. Casting of SB 55 variant with gating system.

Influence of HPDC Process Parameters on the Microstructure of EC Electromotor Housing

Influence of HPDC Process Parameters on the Microstructure of EC Electromotor Housing Marek Brůna 1, Martin Medňanský 1,*, Marek Matejka 1 and Radka Podprocká 2 1Department of Technological Engineering, Faculty of Mechanical Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia 2Rosenberg-Slovakia s.r.o., Kováčska 38, 044 25 Medzev, Slovakia *Author to whom correspondence should be addressed. Metals 2023, 13(2), 295; https://doi.org/10.3390/met13020295 Received:

Read More

Figure 1. High pressure die-casting [1].

An Industrial Perspective on Magnesium Alloy Wheels: A Process and Material Design

An Industrial Perspective on Magnesium Alloy Wheels: A Process and Material Design Miaomiao Wang1,21China Copper Institute of Engineering and Technology, Beijing, China.2Kunming Metallurgical Research Institute Co., Ltd. Beijing Branch, Beijing, China.DOI: 10.4236/msa.2023.141002PDFHTML XML18 Downloads   134 Views Abstract Light weights wheels improve vehicle performance with respect to road handling, cornering as well providing fuel economy and reduced greenhouse gas emissions. Aluminum

Read More

A study on the construction of die-casting production prediction model by machine learning with Taguchi methods

A study on the construction of die-casting production prediction model by machine learning with Taguchi methods

Yung-Tsan Jou, Riana Magdalena Silitonga & Ronald Sukwadi Received 05 Jan 2022, Accepted 16 Jan 2023, Published online: 30 Apr 2023 ABSTRACT Technologies such as machine learning, big data, and Industry 4.0 have become the trends in the development of science and technology in various countries in recent years. This research hopes to establish a predictive

Read More