José Grilo, Vítor Hugo Carneiro
Ongoing industrial demand for lightweight materials has spiked the research interest in aluminium-based metal matrix composites for its specific properties. The amount of scientific publication available on the matter has led to the vast production of knowledge, which highlights the need for a systematic assessment if further progress is expected. In this paper, a systematic review of the published literature is conducted, according to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, on the Scopus and Web of Science databases were used in the literature search, which was completed on the 29 August 2020. The data of the research work is structured in the particle pre-processing stage and the melt processing stage. The present review clarifies the combined pair-wise effect of particles and the melt treatment performed on their wettability or dispersive or de-agglomerative capability, which allows to achieve their final mechanical properties.
@article{4d405a3e-6503-429c-a096-8a1674b1aead,
title={Manufacturing Methodology on Casting-Based Aluminium Matrix Composites: Systematic Review},
author={José Grilo and Vítor Hugo Carneiro},
year={2021},
language={pt}
}TY - JOUR TI - Manufacturing Methodology on Casting-Based Aluminium Matrix Composites: Systematic Review AU - José Grilo AU - Vítor Hugo Carneiro PY - 2021 LA - pt ER -
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Georg Gaiser, Robert Littringer
Surface defects are a critical indicator of semi-finished product quality, with the elements Cu and Sn exerting a significant influence through the ph
Unknown, Unknown
This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand
Siddhartha Mukherjee
This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t