Material Removal Processes by Cutting and Abrasion: Numerical Methodologies, Present Results and Insights

Hamdi, Hédi; Valiorgue, Frédéric; Mabrouki, Tarek

doi:10.1002/9781118578759.ch4

Cited by 1 publication

(2 citation statements)

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“…Also, it can follow the "complex contours" and work simultaneously on several edges and surfaces, thus making it more desirable in comparison to the other finishing processes [38]. In the manufacturing process, several mechanical parts undergo one machining operation at least once in order to fulfill a certain function within the environment [39]. Some criteria for the quality of such pieces are desired, such as dimensional, roughness, as well as geometric specifications, etc.…”

Section: Abrasive Flow Machining (Afm)mentioning

confidence: 99%

“…Other than the above-mentioned four types of AFM process, there have also been developed some other AFM variants in order to compensate for the MRR and also for a longer finishing time. The variants of the AFM process have few external assistants, such as ultrasonic vibrations [62][63][64], the rotational effect [65][66][67], magnetic field assistance [39,68,69], and also the hybrid variant of the AFM process [54,[70][71][72]. The external assistance is found to show the increase in the finishing force [73][74][75], abrasive velocity, enhancement in the contact length among the work surface as well as abrasive, active density of abrasive, or utilization of the synergic effect of two processes in order to eradicate the material [76].…”

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confidence: 99%

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Understanding the Mechanism of Abrasive-Based Finishing Processes Using Mathematical Modeling and Numerical Simulation

Hashmi

Mali

Meena

et al. 2022

Metals

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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.

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Section: Abrasive Flow Machining (Afm)mentioning

confidence: 99%