CASTMAN has been introducing outstanding die-casting products through leading activities in the die-casting industry, and continuously contributing to the manufacturing industry. High pressure die casting is often an excellent process for quickly manufacturing many parts and has a high level of engineering skills. With CASTMAN’s high pressure die casting, you can quickly produce complex shaped parts using highly
Title: Automobile Parts Casting – Methods and Materials Used: A Review Core Objective of the Research: This review paper aims to comprehensively analyze the various casting methods and materials used in the automotive industry for manufacturing different parts. It examines the suitability of each method and material based on the specific requirements of the components, considering factors
Aluminum high-pressure die casting is a widely used manufacturing process known for its high efficiency and precision. However, producing parts with undercut shapes—features that interfere with the mold opening direction—poses significant challenges. Traditional solutions, such as slide cores or multi-part molds, increase complexity, costs, and limit design flexibility. Application of Salt Core Technology for Undercut
by Andrea Sütőová 1,*, Róbert Kočiško 1,*, Patrik Petroušek 1, Martin Kotus 2, Ivan Petryshynets 3 and Andrii Pylypenko 4 Abstract The wear and degradation of tools applied in the high-pressure die casting of Al alloys induce significant financial losses. The formation of failures on the surface of mold parts caused by erosion, thermal fatigue, corrosion, and soldering negatively affects the surface quality
Abstract Ultra-large aluminum shape castings have been increasingly used in automotive vehicles, particularly in electric vehicles for light-weighting and vehicle manufacturing cost reduction. As most of them are structural components subject to both quasi-static, dynamic and cyclic loading, the quality and quantifiable performance of the ultra-large aluminum shape castings is critical to their success in
Abstract Lightweighting of electric vehicles is an important consideration to improve range and potentially reduce the vehicle price by downsizing expensive battery and motor components. Aluminum alloys have a combination of light weight, high electrical conductivity and strength that are required in e-motor applications to achieve high power output and efficiency. In this research, Al–Ce
Naveen SinghalResearch ScholarDept of Mechanical Engineering Arni University-H.P. Dr. Sangeeth GuptaProfessorArni University-H.P Dr.Krishnamachary P CProfessor & PrincipalJ.B.Institute of Engineering & Technology-Hyderabad. Abstract In order to provide ecological balance, new technologies are being developed to reduce fuel consumption. Within these new technologies, usage of light alloys such as aluminum and magnesium has gained great importance in
You have full access to this open access articleThe International Journal of Life Cycle AssessmentAims and scopeSubmit manuscriptSocial hotspots in the automotive industry’s aluminum value chains—combining primary and generic data Download PDF Abstract Purpose The automotive industry and its suppliers have been facing increasing challenges in the sustainable sourcing of raw materials on environmental and
Abstract This research presents the design and implementation process of a remote monitoring system for temperature and force-induced pressure measurements in the mold cavity of high-pressure die casting (HPDC). A K-type thermocouple sensor was chosen to gauge the aggressive environment inside the mold cavity. An ejector pin was adapted for the installation of this sensor,
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
