High entropy alloys (HEAs) are an emerging class of engineering materials with excellent mechanical, thermal, chemical and electrical properties due to constituent alloying elements and type of synthesis/processing criteria. This literature review intends to find product manufacturing aspects from HEAs while relating them to their synthesis and characterisation. A wide range of synthesis modes has been developed for HEAs recently. Methods of synthesis, both bulk and powder-based, are reviewed and discussed at length in this article. Based on the researcher’s results, various characterisation studies like materials, mechanical, chemical, electrical, and magnetic are also discussed. For product manufacturing, it is observed that very few machinability studies have been carried out on HEAs to honour post-machining material properties. Research on HEAs in the manufacturing domain, if done, will lead to their extensive industrial applications. Further, several potential applications have been suggested for specific HEAs based on the composition of constituent elements.

Recent advances in technology and refinement of available computational resources paved the way for the extensive use of computers to model and simulate complex real-world problems difficult to solve analytically. The appeal of simulations lies in the ability to predict the significance of a change to the system under study. The simulated results can be of great benefit in predicting various behaviors, such as the wind pattern in a particular region, the ability of a material to withstand a dynamic load, or even the behavior of a workpiece under a particular type of machining. This paper deals with the mathematical modeling and simulation techniques used in abrasive-based machining processes such as abrasive flow machining (AFM), magnetic-based finishing processes, i.e., magnetic abrasive finishing (MAF) process, magnetorheological finishing (MRF) process, and ball-end type magnetorheological finishing process (BEMRF). The paper also aims to highlight the advances and obstacles associated with these techniques and their applications in flow machining. This study contributes the better understanding by examining the available modeling and simulation techniques such as Molecular Dynamic Simulation (MDS), Computational Fluid Dynamics (CFD), Finite Element Method (FEM), Discrete Element Method (DEM), Multivariable Regression Analysis (MVRA), Artificial Neural Network (ANN), Response Surface Analysis (RSA), Stochastic Modeling and Simulation by Data Dependent System (DDS). Among these methods, CFD and FEM can be performed with the available commercial software, while DEM and MDS performed using the computer programming-based platform, i.e., “LAMMPS Molecular Dynamics Simulator,” or C, C++, or Python programming, and these methods seem more promising techniques for modeling and simulation of loose abrasive-based machining processes. The other four methods (MVRA, ANN, RSA, and DDS) are experimental and based on statistical approaches that can be used for mathematical modeling of loose abrasive-based machining processes. Additionally, it suggests areas for further investigation and offers a priceless bibliography of earlier studies on the modeling and simulation techniques for abrasive-based machining processes. Researchers studying mathematical modeling of various micro- and nanofinishing techniques for different applications may find this review article to be of great help.

The present research is carried out to develop A6061 based composite for cylinder liner which can improve IC engine efficiency along with a reduction in engine weight. A6061 is reinforced with 2wt.%, 3wt.%, 4wt.% and 5wt.% of vanadium and cobalt filler powder, separately, and their wear behavior is examined. The mechanical characteristics and surface morphology of the composites were also investigated. Taguchi optimization technique with orthogonal array L16 is used for planning of experiments. Filler content, load and reciprocating frequency played major role on wear resistant property. The wear resistance improved with an increase in filler content in case of cobalt filled composite but in the case of vanadium filler, it reduces beyond 4wt.% filler content. A6061 composite with 4wt.% vanadium content is found to have most improved mechanical and wear resistant properties among all the investigated compositions, which could effectively improve engine efficiency and reduce engine weight.